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Lumbo-pelvic proprioception in sitting is impaired in subgroups of low back pain–But the clinical utility of the differences is unclear. A systematic review and meta-analysis

  • Vasileios Korakakis ,

    Contributed equally to this work with: Vasileios Korakakis, Kieran O’Sullivan, Argyro Kotsifaki

    Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

    Vasileios.Korakakis@aspetar.com

    Current address: Aspetar, Orthopaedic and Sports Medicine Hospital, Doha, Qatar

    Affiliations Aspetar, Orthopaedic and Sports Medicine Hospital, Doha, Qatar, Faculty of Physical Education and Sport Science, University of Thessaly, Trikala, Greece, Hellenic Orthopaedic Manipulative Therapy Diploma (HOMTD), Athens, Greece

  • Kieran O’Sullivan ,

    Contributed equally to this work with: Vasileios Korakakis, Kieran O’Sullivan, Argyro Kotsifaki

    Roles Data curation, Formal analysis, Methodology, Writing – original draft, Writing – review & editing

    Current address: School of Allied Health, University of Limerick, Limerick, Ireland

    Affiliations School of Allied Health, University of Limerick, Limerick, Ireland, Ageing Research Centre, University of Limerick, Limerick, Ireland

  • Argyro Kotsifaki ,

    Contributed equally to this work with: Vasileios Korakakis, Kieran O’Sullivan, Argyro Kotsifaki

    Roles Data curation, Formal analysis, Investigation, Methodology, Writing – original draft, Writing – review & editing

    Affiliation Aspetar, Orthopaedic and Sports Medicine Hospital, Doha, Qatar

  • Yiannis Sotiralis ,

    Roles Data curation, Methodology, Writing – original draft, Writing – review & editing

    ‡ These authors also contributed equally to this work.

    Affiliation Faculty of Physical Education and Sport Science, University of Thessaly, Trikala, Greece

  • Giannis Giakas

    Roles Data curation, Methodology, Supervision, Writing – original draft, Writing – review & editing

    ‡ These authors also contributed equally to this work.

    Affiliation Hellenic Orthopaedic Manipulative Therapy Diploma (HOMTD), Athens, Greece

Abstract

Background

Altered spinal postures and altered motor control observed among people with non-specific low back pain have been associated with abnormal processing of sensory inputs. Evidence indicates that patients with non-specific low back pain have impaired lumbo-pelvic proprioceptive acuity compared to asymptomatic individuals.

Objective

To systematically review seated lumbo-pelvic proprioception among people with non-specific low back pain.

Methods

Five electronic databases were searched to identify studies comparing lumbo-pelvic proprioception using active repositioning accuracy in sitting posture in individuals with and without non-specific low back pain. Study quality was assessed by using a modified Downs and Black’s checklist. Risk of bias was assessed using an adapted tool for cross-sectional design and case–control studies. We performed meta-analysis using a random effects model. Meta-analyses included subgroup analyses according to disability level, directional subgrouping pattern, and availability of vision during testing. We rated the quality of evidence using the GRADE approach.

Results

16 studies met the eligibility criteria. Pooled meta-analyses were possible for absolute error, variable error, and constant error, measured in sagittal and transverse planes. There is very low and low certainty evidence of greater absolute and variable repositioning error in seated tasks among non-specific low back pain patients overall compared to asymptomatic individuals (sagittal plane). Subgroup analyses indicate moderate certainty evidence of greater absolute and variable error in seated tasks among directional subgroups of adults with non-specific low back pain, along with weaker evidence (low-very low certainty) of greater constant error.

Discussion

Lumbo-pelvic proprioception is impaired among people with non-specific low back pain. However, the low certainty of evidence, the small magnitude of error observed and the calculated “noise” of proprioception measures, suggest that any observed differences in lumbo-pelvic proprioception may be of limited clinical utility.

PROSPERO-ID

CRD42018107671

Introduction

Low back pain is a highly prevalent disabling musculoskeletal disorder and represents a significant burden for the society [1, 2]. Approximately 90% of low back pain is non-specific low back pain (NSLBP) where the pain can be directly attributed to pathoanatomical cause [3]. Mounting evidence suggests that NSLBP is not a homogenous group, but rather denotes a variety of clinical presentations which may differ across several variables such as for example: movement behaviors, pain-provoking or pain-relieving movements and postures, pain distribution patterns, alterations in motor control, and psychological aspects [46]. A multidimensional classification system has been proposed by O’Sullivan [5] which classifies patients based on pain symptoms and movement behaviors. To illustrate, the system classifies patients into a) the “flexion pattern” (FP) when provocative movements and postures involve spinal flexion, b) the “active and passive extension pattern” (AEP, PEP) when provocative movements and postures involve extension, and c) the “multidirectional pattern” when all movement directions provoke symptoms [5]. Altered spinal postures and altered motor control have been associated with abnormal processing of sensory inputs, such as proprioception, in patients suffering from NSLBP that vary between the subgroups [610]. Evidence from recent systematic reviews [1113] indicate that patients with NSLBP have significantly impaired lumbo-pelvic proprioceptive acuity compared to asymptomatic individuals. Also, consistent findings have been reported [11] of an increased absolute repositioning error (RE) within a NLBP subgroup (flexion pattern) [9, 1416]. It has been suggested that these proprioceptive deficits might be associated with the underlying characteristics and mechanisms of NSLBP development [17, 18]. However, the precise association between NSLBP and proprioceptive deficits is unclear, as spinal proprioceptive impairments are not correlated with pain and disability [19, 20].

Lumbo-pelvic accuracy and precision has been found to be considerably affected by test position, and REs appear significantly larger in sitting than in standing [21]. Moreover, no correlation has been demonstrated between tests for kinaesthesia and joint position sense, or between different position sense tests [22]. Previous systematic reviews with meta-analyses of cross-sectional studies, demonstrated that patients with NSLBP present greater variability and error in spinal proprioceptive acuity as compared to asymptomatic individuals [11, 12]. However, they included both sitting and standing repositioning tasks, mixed different methods of measuring proprioception–such as active repositioning, or threshold to detection of passive motion, pooled together different planes of testing, merged lumbo-sacral and trunk proprioception testing, and excluded studies based on reporting methods and data availability [1113]. The latest systematic search in previous reviews was conducted in 2014 [12] and it can be assumed that new evidence on the field has since emerged. From a clinical utility perspective, none of the previous systematic reviews [1113] linked the magnitude of the observed proprioceptive deficit to the minimal clinically important difference (MCID). Finally, the vast majority of studies included in these previous reviews have been cross-sectional, and the reviews highlighted specific concerns regarding bias. Hence, the main objective of this systematic review was to evaluate if patients with NSLBP present greater active lumbo-pelvic RE with reference to seated tasks in the sagittal or transverse plane. Given that mounting evidence suggests that NSLBP is not a homogenous group, but rather denotes a variety of patient presentations [5, 6], a secondary objective was to evaluate proprioceptive acuity in NSLBP subgroups.

Methods

Protocol and guidelines

The search strategy and reporting of this systematic review adhered to the PRISMA guidelines [23] and followed the Cochrane group’s recommendations [24]. The protocol was prospectively registered in PROSPERO (CRD42018107671).

Information sources and search methods

PubMed, Cochrane, CINAHL, EMBASE and Web of Science databases were all independently searched by two reviewers (VK and YS) from inception of database to 28 March 2020 without language restriction, to reduce language and publication bias.

Grey literature was searched via OpenGrey, and the following registries: Clinical Trials.gov and EU clinical trials register. Reference lists, citation tracking results, and systematic reviews were also manually searched.

The search strategy included two basic strings of key terms (low back pain and proprioception) (S2 File) and followed previously described methodology [11, 19].

Eligibility criteria

Types of studies and participants.

The inclusion criteria were a) studies published in peer-review journals or theses, b) investigating local lumbo-pelvic proprioception between patients suffering from NSLBP and asymptomatic individuals or matched controls, and c) measuring proprioception as active RE using a sitting posture as target. Systematic reviews, case series, case studies, and conference abstracts were excluded, while intervention studies were retained, but only baseline comparisons were used for data synthesis. Studies were also excluded if a measure of proprioception was not reported. Participants were considered to suffer NSLBP, if described as such in inclusion criteria, or if serious or specific spinal pathologies, such as spinal stenosis, or calcification of connective tissue in ankylosing spondylitis, were used as exclusion criteria [11, 19]. We set no limitations for sex, age, and duration of symptoms of participants.

Types of outcomes.

At least one outcome measure reflecting active repositioning accuracy, precision and error was the basic eligibility criterion. The following RE indices were selected as appropriate: absolute error (AE) that reflects accuracy or error magnitude, constant error (CE) as an index of bias representing error direction and variable error (VE) representing the variability of an individual’s CE [25].

Study selection

Search results were imported into EndNote and following removal of duplicates, a two-stage screening process was implemented to select relevant studies. Initially, title and abstract were independently evaluated by two reviewers (VK and YS) (minimize selection bias). Subsequently, the full text for each potentially eligible study was evaluated against the criteria for eligibility. A third reviewer (KO) was consulted if consensus was not reached [26].

Data extraction

A pair of reviewers independently extracted data to enhance transparency (VK and AK). Additionally, pilot testing was performed [24] and the reviewers assessed, practiced and extracted the available data from 30% of the studies [26, 27]. Review authors were not blinded to authors and sources. All data describing study characteristics such as age, sex, sample size, testing procedures, protocols, tasks, variables, and results were obtained and presented.

Quality assessment

The quality of eligible studies was assessed using a modified Downs and Black’s checklist [28]. Each item was scored as “yes”, “partially”, “no”, “unable to determine”, or “non-applicable”. An overall score was calculated excluding items that were rated as “non-applicable”. Following a consensus meeting, the authors judged that twelve items from the checklist as “non-applicable” due to the case–control and cross-sectional design of studies included in this systematic review. Two reviewers (VK and AK) independently rated the quality of included studies, while discrepancies were resolved by discussion with a third reviewer (KO). No studies were excluded due to methodological quality.

Risk of bias

The risk of bias was assessed at a study level by using an adapted tool suggested by the Non-Randomized Studies Group of the Cochrane Collaboration for systematic reviews of cross-sectional and case–control studies [29, 30]. The following dimensions have been suggested to categorize the risk of bias in non-randomized studies: selection bias, performance bias, detection bias, attrition bias and reporting bias [31]. However, items evaluating performance bias (typically associated with intervention based research) and reporting bias (difficult to quantify [32]) were removed from this tool [29, 30]. Selection bias and control of confounding were evaluated by assessing: a) the appropriate description of characteristics of the participants with NSLBP (i.e., specific inclusion criteria, duration of symptoms, questionnaires evaluating disability) and asymptomatic individuals (i.e., no history of NSLBP pain for “x” weeks/months, no limitations in function), b) the adequacy of the proprioception measurement (i.e. device, apparatus) and the reported reliability (or provided reference) of testing device, c) the validity of the assessment methods of the outcome measures (described in sufficient detail), and d) the adequacy of statistical tests used (description of tests according to data normality, or adjusting for confounding). Detection bias assessment was based on blinded data assessment or processing (blinded to groups evaluated i.e., NSLBP or asymptomatic), Attrition bias was evaluated from the percentage of the available data for analyses from the recruited participants (<80%). Finally, we evaluated external validity based on the adequate description of participant demographic (i.e., age), and the representativeness of both asymptomatic and NSLBP populations.

Data analysis, synthesis, and summary of findings

For between-group differences a standardized mean difference (SMD) and 95% confidence interval (95% CI) was calculated to determine the magnitude of difference in RE. When data was available from more than one study, SMDs were pooled in a meta-analysis using random effects (Comprehensive Meta-Analysis software), assuming that the true effect may vary from study to study due to methodological differences (i.e., sample characteristics, reliability of measurement method etc.). SMDs were interpreted as follows: small effect: 0.2–0.6, medium effect: 0.6–1.2, large effect: 1.2–2.0 and very large effect: >2.0 [33].

The I2 statistic was calculated for the evaluation of heterogeneity (also in assessment of inconsistency for the evaluation of the body of evidence). However, heterogeneity was not judged only by the value of I2 statistic, as thresholds for the interpretation can be misleading [34, 35]. First, we assessed the statistical significance of heterogeneity from Q statistic (and df), the between-study variance (Tau2), and the distribution (Tau) of the effect sizes about the mean effect (true heterogeneity). Subsequently, we performed visual inspection of the forest plot and the overlap of confidence intervals [24, 34]. Also, given that the I2 statistic provides the proportion of the observed variance that can be attributed to the variance in true effects rather than to sampling error, we also calculated and depicted in the forest plots the prediction interval (±1.96 standard deviations) to evaluate the true effect size range in the meta-analyses [34, 36].

When a study presented only subgroup data, the mean and variance of the composite within a study were computed by performing a fixed-effect meta-analysis on the subgroups for that study. Then, we performed a meta-analysis working solely with these study-level summary effect sizes and variances [37].

Given that subgrouping of NSLBP can reveal characteristics and deficits that were not evident within a broad and heterogeneous NSLBP group [38], quantitative syntheses were grouped according to i) proprioception measurement plane (sagittal or transverse), ii) indices of RE presented (i.e., AE, CE, VE), and iii) according to NSLBP subgroups (FP, AEP, or PEP), the age of the participants (adults or adolescents) and disability (i.e., severity of NSLBP based on disability reported in patient-rated outcome measures), where applicable.

To our knowledge, cut-off values for patient-rated outcome measures have been evaluated in the literature for the Oswestry Disability Index (ODI) [39, 40], but not for the Roland-Morris Disability questionnaire (RMDQ) [41]. Thus, we arbitrarily sub-grouped the included studies based on ODI and RMDQ mean scores (8–15 into mild NSLBP and ≥15 into moderate to severe NSLBP, and scores ≤5 into mild NSLBP and >5 into moderate to severe NSLPB, respectively). For one study, involving two papers [42, 43], which reported no disability score, we categorized the participants as having ‘moderate to severe’ disability based on 90% reporting back pain requiring medical care or work absenteeism.

Results were presented as summary tables and forest plots. Assessment of publication bias was not possible due to the small number of included trials [44].

Thresholds for clinical interpretation and inferences of the effect size (SMD) of RE have not been established and statistical “rules of thumb” can be misleading. We noted that studies assessing active position sense in both patients and healthy individuals rarely provide reliability estimates of the study specific measures [16, 42, 43, 45]. However, even a relatively high reliability estimate, such as intraclass correlation coefficient, may not reflect an acceptable measurement if the precision of measurement, as indicated by the standard error of measurement (SEM), is not acceptable for the intended purpose [46]. In practice, the minimum clinically important difference (MCID) for RE would at least exceed the sum of the “noise” in the measurement [46, 47]. Several factors could contribute to the measurement error in lumbo-pelvic proprioceptive acuity, including but not limited to the accuracy of the device utilized, the between-study tester variability, as well as subjects’ variation regarding the sitting postures. Based on the eligible studies which reported SEM values, we calculated (smallest real difference = 1.96 x √2 x SEM) [48] the mean “noise” of the RE measurement to be 5.4°, thus we arbitrarily set the MCID at 5°.

With regards to sensitivity analyses we aimed to repeat the meta-analyses by excluding studies with poor quality and studies appearing as outliers, as well as to present the 95% CIs for the prediction intervals for all pooled effect estimates.

Assessment of the quality of the body of evidence

Two independent reviewers (VK and AK) evaluated the certainty of evidence using the GRADE methodology [49]. Evidence was started at low certainty, due to predominant case-control and cross-sectional study designs, and was upgraded following published guidelines [50]. Evidence was downgraded according to the presence and extent of four specific factors [51]: (i) high risk of bias (quality appraisal average <60%); (ii) inconsistency of the effect (substantial heterogeneity–I2 > 50%; or large differences in treatment effect estimates, or in the direction of effect across studies); (iii) indirectness (NSLBP patients and/or asymptomatic participants recruited limits generalizability); and (iv) imprecision (upper or lower 95%CI spanned an effect size of 0.5 in either direction; or sample size <400 as “rule of thumb”) [29, 30, 52]. We a priori graded an outcome with only one trial as low quality, and if it also had high risk of bias the evidence was graded as very low quality [53].

Results

Study selection, study, and participant characteristics

The search strategy identified 605 unique studies, after duplicate removal. A total of 16 paper involving 15 studies met the inclusion criteria. The exclusion of studies at each stage of the selection process is outlined in Fig 1.

Notable reasons for exclusion from the review were: study design, type of publication, repositioning evaluation being performed in standing, repositioning task not focused on the lumbo-pelvic region, and not implementing an active repositioning task (Fig 1).

Study details, participant characteristics, methods of measuring lumbo-pelvic proprioception, and reliability estimates are presented in Table 1. All 16 included studies were published in English and were performed in 9 countries, the most common being Australia (5 studies), USA and UK (2 studies each). The median number of participants recruited per study was 48 (interquartile range 30.0–123.0) and the sample size ranged from 19 to 292 participants. Baseline demographic characteristics did not differ between asymptomatic individuals and NSLBP groups, but body mass index, or body fat, was greater in the NSLBP group in two studies [9, 54]. Also, one study [43] was described across two papers [42] by the same research group and the studies were combined in quantitative synthesis.

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Table 1. Characteristics of the included studies, participants, and intervention details.

https://doi.org/10.1371/journal.pone.0250673.t001

Nine studies included patients with NSLBP for more than 3 months [9, 1416, 43, 54, 55, 59, 61], two studies included patients with NSLBP over 4-week [57] and 6-week [56] duration, and four studies did not report duration of NSLBP for inclusion [20, 58, 60, 62]. Two studies included asymptomatic participants that had experienced no NSLBP for at least 2 years [14, 15], five studies included participants with no NSLBP the past year [9, 5557, 61], three studies recruited participants without a history of NSLBP [16, 54, 59], and five studies did not report specific inclusion criteria except that the participants were asymptomatic the day of testing [20, 42, 58, 60, 62]. Functional disability was reported in all studies except two [43, 58], using either the ODI [1416, 54, 56, 5962] or the RMDQ [9, 20, 5557]. Sub-grouping of patients according to functional movement assessment, testing, or symptomatic severity was conducted in nine studies [9, 1416, 5557, 60, 61].

A neutral lumbo-pelvic spinal posture was used by 15 studies as a target sitting posture, one study used in addition a second (lordotic) target posture, while in one study [61] the target position was set at 1/3 of the way towards maximal extension from the subjects’ normal sitting position. Participants were blindfolded for testing in 12 studies, four studies [15, 54, 56, 60] evaluated repositioning accuracy with vision available, while one study [58] did not provide relevant information (Table 1).

Quality assessment

The quality rating scores (Table 1) on the checklist ranged from 62.5% to 94% (median = 82, interquartile range: 73–86.1). The quality assessment indicated that all studies had clear hypotheses and objectives, clearly described participants’ demographics, quality of outcome measures and description of results. In contrast, common concerns included 87.5% of studies lacking a sample size calculation, 56% of studies not adjusting for confounders, and 50% not providing adequate sampling information.

Risk of bias

All studies had a high risk of bias for detection (assessment or processing of data by a blinded assessor), five studies failed to adequately describe the population of interest, six studies failed to report adequately eligibility criteria, and two studies did not apply relevant statistical analysis (Table 2).

Absolute repositioning error–sagittal plane.

Twelve studies [9, 1416, 42, 43, 5456, 58, 60, 62] evaluated AE among NSLBP patients compared to asymptomatic individuals in a sagittal plane repositioning task.

Absolute error between asymptomatic individuals and NSLBP patients.

Pooled results revealed a medium effect for greater AE in patients with NSLBP than asymptomatic individuals (SMD = 0.705, 95%CI: 0.199–1.212) (Fig 2A). Removing three studies [14, 15, 58] that did not report AE in angular measures had a significant impact on the direction of the effect estimate, showing no significant difference between groups (SMD = 0.651, 95%CI: 0.000–1.302) (Table 3).

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Fig 2. Forest plots for absolute error in sagittal plane repositioning between NSLBP and asymptomatic individuals.

a) Absolute error between asymptomatic individuals and NSLBP patients, b) Absolute error between asymptomatic individuals and patients with moderate to severe NSLPB symptoms, c) Absolute error between asymptomatic individuals and patients with mild NSLBP symptoms, d) Absolute error between asymptomatic individuals and patients with flexion-aggravated NSLBP, and e) Absolute error between asymptomatic individuals and patients with extension-aggravated NSLBP. Data for one study [58] was requested and provided by the authors, and two papers [42, 43] from the same research group were combined in quantitative synthesis as one served as the NSLBP group and the other as the control group. The line crossing the summary effect estimate (diamond) in the forest plots represents the prediction interval, assuming that the effects are normally distributed [36]. Abbreviations: SMD, standardized mean difference; SE, standard error; CI, confidence intervals; NSLBP, non-specific low back pain.

https://doi.org/10.1371/journal.pone.0250673.g002

Absolute error and subgroup analyses

Four studies [15, 56, 60, 62] included patients with mild NSLBP symptoms (ODI<15 or RMDQ<5 points). We found a significant effect of symptoms’ severity in AE, with patients with moderate to severe NSLBP presenting larger errors (medium effect) (SMD = 0.725, 95%CI: 0.007–1.443) compared to asymptomatic individuals than patients with mild NSLBP symptoms (small effect) (SMD = 0.525, 95%CI: 0.37–1.013) (Fig 2B and 2C, Table 3).

Six studies evaluated AE in specific directional sub-groups of NSLBP patients [9, 1416, 55, 56]. Five studies used O’Sullivan’s classification [5], while one used a syndrome-based classification [56]; however, both categorize patients on the basis of pain-provoking movements and postures. All studies reported data for NSLBP related to postures and movements involving flexion and three studies [9, 16, 55] also included extension-aggravated NSLBP patients.

Pooled results revealed a large effect for greater AE for patients with flexion-aggravated NSLBP than asymptomatic individuals (SMD = 1.219, 95%CI: 0.719–1.719) (Fig 2D). Removing two studies [14, 15] from data synthesis that did not report AE in angular measures or excluding adolescent patients [16] had no significant impact on the direction and the size of the effect estimate (SMD = 1.287, 95%CI: 0.595–1.980; SMD = 1.289, 95%CI: 0.719–1.859, respectively) (Table 3).

The pooled results for extension-aggravated NSLBP revealed a large effect for greater AE for NSLBP patients than asymptomatic individuals (SMD = 1.486, 95%CI: 0.239–2.732) (Fig 2E). Excluding adolescents [16] had a significant impact on the size of the effect estimate, that increased the large effect to a very large effect for greater AE in extension- aggravated NSLBP patients (SMD = 2.080, 95%CI: 1.574–2.585) (Table 3).

One study [55] evaluating patients with NSLBP aggravated by passive extension presented very low certainty evidence of greater AE in patients compared to asymptomatic individuals (MD = 8.8, 95%CI: 7.006–10.594).

In eight studies [9, 14, 16, 42, 43, 55, 56, 62] participants were blindfolded during testing, while in five studies participants had vision available [15, 54, 56, 58, 60]. The pooled results indicated a medium effect for greater AE for NSLBP patients than asymptomatic individuals (SMD = 0.876, 95%CI: 0.231–1.521) for the blindfolded repositioning task, whereas AE in neutral sitting posture did not differ between NSLBP and asymptomatic individuals when vision was available (SMD = 0.325, 95%CI: -0.075 to 0.725) (Fig 3A and 3B, Table 3).

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Fig 3. Forest plots for absolute error in sagittal plane repositioning between NSLBP and asymptomatic individuals.

a) Absolute error between blindfolded asymptomatic individuals and NSLBP patients, b) Absolute error between asymptomatic individuals and NSLBP patients evaluated with vision available, and c) Absolute error between asymptomatic individuals and patients with NSLBP evaluated in transverse plane. Data for two studies [20, 58] was requested and provided by the authors, and two studies [42, 43] from the same research group were combined in quantitative synthesis as one served as the NSLBP group and the other as the control group. The line crossing the summary effect estimate (diamond) in the forest plots represents the prediction interval, assuming that the effects are normally distributed [36]. Abbreviations: SMD, standardized mean difference; SE, standard error; CI, confidence intervals; NSLBP, non-specific low back pain.

https://doi.org/10.1371/journal.pone.0250673.g003

One study [56] evaluating AE in repositioning into a lordotic sitting posture presented very low certainty evidence of no difference between patients with mild NSLBP and asymptomatic individuals with participants blindfolded or not (MD = -1.9, 95%CI: -4.053 to 0.253; MD = -1.2, 95%CI: -3.073 to 0.673, respectively).

Absolute repositioning error–transverse plane

Three studies [20, 57, 59] evaluated proprioception among blindfolded NSLBP patients compared to asymptomatic individuals in a transverse plane repositioning task (axial lumbar rotation).

The included studies [20, 57, 59] reported conflicting results; however, when the data were pooled into a summary estimate (Fig 3C), no significant differences were evident between NSLBP patients and asymptomatic individuals in a seated repositioning task involving axial lumbar rotation (SMD = 0.665, 95%CI -0.495 to 1.825) (Table 3).

Variable repositioning error–sagittal plane.

Seven studies [9, 16, 55, 56, 61, 62] evaluated the variability of repositioning of NSLBP patients compared to asymptomatic individuals in a sagittal plane repositioning task.

Variable error between asymptomatic individuals and NSLBP patients.

The included studies presented conflicting results. Pooled data into a summary estimate showed that patients with NSLBP had greater variability (medium effect) in RE about their mean response than asymptomatic individuals (SMD = 0.606, 95%CI 0.114–1.098) (Fig 4A). Removing studies that did not report VE in angular measures [15], or that included adolescents [16] did not impact the direction and the size of the effect estimate (SMD = 0.655, 95%CI: 0.111–1.200; SMD = 0.681, 95%CI: 0.135–1.227, respectively) (Table 4).

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Fig 4. Forest plots for variable error in sagittal and transverse plane repositioning between NSLBP and asymptomatic individuals.

a) Variable error between asymptomatic individuals and NSLBP patients, b) Variable error between asymptomatic individuals and NSLBP patients with mild symptoms, c) Variable error between asymptomatic individuals and NSLBP patients with moderate to severe symptoms, d) Variable error between asymptomatic individuals and patients with flexion-aggravated NSLBP, e) Variable error between asymptomatic individuals and patients with extension-aggravated NSLBP, and f) Variable error between asymptomatic individuals and patients with NSLBP evaluated in transverse plane. The line crossing the summary effect estimate (diamond) in the forest plots represents the prediction interval, assuming that the effects are normally distributed [36]. Abbreviations: SMD, standardized mean difference; SE, standard error; CI, confidence intervals; NSLBP, non-specific low back pain.

https://doi.org/10.1371/journal.pone.0250673.g004

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Table 4. Summary of evidence for variable repositioning error.

https://doi.org/10.1371/journal.pone.0250673.t004

Variable error and subgroup analyses

By subgrouping studies according to NSLBP severity, we did not find a significant effect of symptoms’ severity in VE, with both patients with mild and moderate to severe NSLBP presenting no difference compared to asymptomatic individuals (SMD = 0.609, 95%CI: -0.226 to 1.444; SMD = 0.602, 95%CI: -0.071 to 1.275, respectively) (Fig 4A, 4B and 4C, Table 4).

Five studies evaluated VE in directional sub-groups of NSLBP patients [9, 15, 16, 55, 56]. All five studies reported data for NSLBP related to postures and movements involving flexion, three also included extension-aggravated NSLBP patients [9, 16, 55], and one evaluated patients with passive extension-aggravated NSLBP [55].

Pooled results from five studies revealed a medium effect for larger VE for patients with flexion-aggravated NSLBP than asymptomatic individuals (SMD = 0.673, 95%CI: 0.280–1.066) for repositioning into a neutral sitting posture (Fig 4D). Removing studies that did not report VE in angular measures [15] or included adolescent patients [16] had no impact on the size of the effect estimate indicating a larger VE for patients with flexion-aggravated NSLBP (SMD = 0.756, 95%CI: 0.330–1.182; SMD = 0.694, 95%CI: 0.211–1.117, respectively) (Table 4).

Pooled results from three studies revealed no significant differences in VE between patients with extension-aggravated NSLBP and asymptomatic individuals (SMD = 0.786, 95%CI: -0.308 to 1.879) (Fig 4E). Excluding adolescent patients [16] had a significant impact on the direction and size of the effect estimate, indicating a greater (large effect) VE in AEP adult subgroup of NSLBP patients compared to asymptomatic individuals (SMD = 1.364, 95%CI: 0.974–1.754) (Table 4).

Variable repositioning error–transverse plane

Two studies [20, 57] evaluated the VE of blindfolded NSLBP patients compared to asymptomatic individuals in the transverse plane and no significant differences were found in a task involving axial lumbar rotation (SMD = -0.129, 95%CI -0.414 to 0.156) (Fig 4F, Table 4).

Constant repositioning error–sagittal plane.

Seven studies [9, 16, 55, 56, 61, 62] evaluated the error direction as a measure of bias of NSLBP patients compared to asymptomatic individuals in a sagittal plane repositioning task.

Constant error between asymptomatic individuals and NSLBP patients.

Pooled data into a summary estimate revealed no difference in error direction between patients with NSLBP and asymptomatic individuals (SMD = -0.191, 95%CI -0.577 to 0.195) (Fig 5A). Removing one study [15] from data synthesis that did not report CE in angular measures, or one study [16] that included adolescents, did not impact on the direction of the effect estimate (SMD = -0.071, 95%CI: -0.433 to 0.291; SMD = -0266, 95%CI: -0.712,0.181, respectively) (Table 5).

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Fig 5. Forest plots for constant error in sagittal plane repositioning between NSLBP and asymptomatic individuals.

a) Constant error between asymptomatic individuals and NSLBP patients, b) Constant error between asymptomatic individuals and NSLBP patients with mild symptoms, c) Constant error between asymptomatic individuals and NSLBP patients with moderate to severe symptoms, d) Constant error between asymptomatic individuals and patients with flexion-aggravated NSLBP, e) Constant error between asymptomatic individuals and patients with extension-aggravated NSLBP. The line crossing the summary effect estimate (diamond) in the forest plots represents the prediction interval, assuming that the effects are normally distributed [36]. For data pooling, undershooting a target position was given a negative sign, whereas overshooting a target position was given a positive sign, resulting in changing the directionality of data in three studies [9, 55, 61]. Abbreviations: SMD, standardized mean difference; SE, standard error; CI, confidence intervals; NSLBP, non-specific low back pain.

https://doi.org/10.1371/journal.pone.0250673.g005

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Table 5. Summary of evidence for constant repositioning error.

https://doi.org/10.1371/journal.pone.0250673.t005

Constant error and subgroup analyses

By subgrouping studies according to NSLBP severity, we found a significant effect of symptoms’ severity in error direction. Patients with mild NSLBP underestimated (medium effect) the target posture (SMD = -0.773, 95%CI: -1.271 to -0.276) compared to asymptomatic individuals. On the contrary, patients with moderate to severe NSLBP symptoms did not differ in CE compared to asymptomatic individuals (SMD = 0.140, 95%CI: -0.136 to 0.417) (Fig 5B and 5C, Table 5).

Five studies evaluated the error direction in directional sub-groups of NLBP patients [9, 15, 16, 55, 56]. All studies reported CE for NSLBP related to postures and movements involving flexion, three also included extension-aggravated NSLBP patients [9, 16, 55], and one evaluated patients with passive extension-aggravated NSLBP [55].

Pooled results from five studies revealed a small effect indicating that patients with flexion-aggravated NSLBP underestimated the target posture compared to asymptomatic individuals (SMD = -0.408, 95%CI: -0.796 to -0.020) (Fig 5D). Removing one study [15] from data synthesis that did not report CE in angular measures had a significant impact on the effect estimate, resulting in no difference in CE between NSLBP patients and asymptomatic individuals (SMD = -0.298, 95%CI: -0.677 to 0.082). Finally, excluding adolescent patients with flexion-aggravated NSLBP [16] had no significant impact on the size of the effect estimate, indicating that patients with flexion-aggravated NSLBP underestimated the target posture compared to asymptomatic individuals (SMD = -0.562, 95%CI: -0.835 to -0.288) (Table 5).

The pooled results from three studies indicated no difference in CE between patients with extension-aggravated NSLBP compared to asymptomatic individuals (SMD = 0.538, 95%CI: -0.058 to 1.134) (Fig 5E). Excluding adolescent patients [16] did not affect the effect estimate (SMD = 0.746, 95%CI: -0.017 to 1.509) (Table 5).

One study [55] evaluating patients with passive extension-aggravated NSLBP presented very low certainty evidence of greater CE (target overestimation) in patients compared to asymptomatic individuals (MD = -8.600, 95%CI: -11.537 to -5.663) in repositioning into a neutral sitting posture.

One study [56] evaluating error direction in repositioning into a lordotic sitting posture presented very low certainty evidence of no difference in CE between patients with mild NSLBP and asymptomatic individuals with participants blindfolded (MD = -2.800, 95%CI: -5.622 to 0.022) or not (MD = -1.800, 95%CI: -4.495 to 0.895).

Constant repositioning error–transverse plane

Very low certainty evidence from one study [57] showed that NSLBP patients overestimated the target position compared to asymptomatic individuals in a task involving axial lumbar rotation (MD = 0.850, 95%CI 0.643 to 1.057).

Sensitivity analyses.

No study was judged as of “poor quality”; hence, no sensitivity analyses were conducted based on study quality.

Absolute error.

Pooled results from eleven studies revealed a medium effect for greater AE in patients with NSLBP than asymptomatic individuals (SMD = 0.705, 95%CI: 0.199–1.212) (Fig 2A). By excluding two studies together [9, 55] or one at a time as outliers, the magnitude of the effect was decreased, but the AE remained greater in NSLBP patients than asymptomatic individuals (SMD = 0.405, 95%CI: 0.122–0.688; SMD = 0.601, 95%CI: 0.083–1.118; SMD = 0.559, 95%CI: 0.146–0.972, respectively).

Pooled results from seven studies according to NSLBP severity, revealed a significant effect of symptoms’ severity in AE, with patients with moderate NSLBP presenting greater errors (medium effect) (SMD = 0.725, 95%CI: 0.007–1.443) (Fig 2B). By excluding two studies together [9, 55] or one at a time as outliers, had a significant effect on the effect estimate, presenting no difference in AE between NSLBP patients with moderate to severe symptom severity and asymptomatic individuals (SMD = 0.256, 95%CI: -0.125 to -0.636; SMD = 0.489, 95%CI: -0.150 to 1.128; SMD = 0.553, 95%CI: -0.264 to 1.370, respectively).

The pooled results from eight studies indicated a medium effect for greater AE for NSLBP patients than asymptomatic individuals (SMD = 0.876, 95%CI: 0.231–1.521) for the blindfolded repositioning task (Fig 3A). By excluding two studies together [9, 55] or only one study [55] as outliers, the magnitude of the effect was decreased, but NSLBP patients still presented greater AE (SMD = 0.448, 95%CI: 0.091–0.806; SMD = 0.663, 95%CI: 0.089–1.1237, respectively). Excluding only the study by Sheeran et al, [9] had a significant effect on the effect estimate, presenting no difference in AE between blindfolded NSLBP patients and asymptomatic individuals (SMD = 0.728, 95%CI: -0.025 to 1.481).

Variable error.

The pooled data into a summary estimate from seven studies showed that patients with NSLBP have a greater variability (medium effect) in the RE about their mean response than asymptomatic individuals (SMD = 0.606, 95%CI 0.114–1.098) (Fig 4A). The exclusion of one study [62] as an outlier had a significant effect on the effect estimate, presenting no difference in VE between patients with NSLBP and asymptomatic individuals (SMD = 0.482, 95%CI: -0.042 to 1.006).

Prediction intervals.

The calculated prediction intervals describing the true effect size range included zero in all repositioning errors (Table 6).

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Table 6. Prediction intervals calculated for pooled effect estimates.

https://doi.org/10.1371/journal.pone.0250673.t006

Discussion

Main findings

These results demonstrated very low and low certainty evidence of greater RE in the sagittal plane and no difference in RE in the transverse plane between NSLBP patients and asymptomatic individuals with reference to a neutral sitting posture. Subgroup analyses suggested moderate certainty evidence of greater AE and repositioning variability between asymptomatic individuals and directional subgroups of NSLBP patients, but low and very low certainty evidence of variable results in error direction. Given the magnitude of error and the calculated “noise” of the measurement, we suggest that the statistically significant differences documented here, may be of limited clinical utility. Additionally, the calculated prediction intervals (true effect size range), included zero in all RE suggesting that these results should be interpreted with caution.

Repositioning errors (pooling all NSLBP patients)

Low certainty evidence suggests no difference in error direction and significantly greater error variability (medium effect) between NSLBP patients and asymptomatic individuals. In contrast, AE demonstrated sensitivity to the measurement method, presenting either very low certainty of a medium effect for greater proprioceptive deficit among NSLBP patients or no difference with asymptomatic individuals. Measurement methods varied significantly among studies, with the majority using electromagnetic motion trackers [14, 16, 42, 43, 60, 61] and others using 3D motion analysis systems [9, 55, 56], tape measures [58], electronic goniometers [54, 62], custom-built apparatus [20, 57, 59], or strain gauge devices [15]. The shift in the direction of the effect by a single study [15] for example, suggests cautious inferences regarding AE magnitude and certainty in NSLBP patients, that could plausibly be attributed to the metric system used to express RE (percentage of strain gauge elongation relative to a referenced lumbar range of motion). When measuring small postural angular differences even the variability in retroreflective markers or electromagnetic sensors placement may significantly affect the measurement outcome. Interestingly, there was a lack of reliability data directly related to the setting, apparatus, population, spinal region, and task used in the studies. Only 5 studies [20, 56, 58, 61, 63] directly evaluated reliability matching the methodology used. The remaining of the studies only referred to previous reliability estimates: a) in a similar setting (i.e., in seated tasks using same apparatus) [9, 15, 55], b) with different tasks (i.e., standing, range of pelvic tilting, or perception of motion) [14, 16, 42, 43, 54, 57, 62], or c) no further information was available [59]. This methodological diversity it is likely that contributed to the heterogeneity observed in the quantitative synthesis of proprioceptive acuity indices.

Several other factors may have contributed to the observed heterogeneity, the inconsistency of findings, as well as the presence of outliers in the analyses in this systematic review. Namely, participant characteristics, lack of RE indices availability, and the specifics of the lumbar spine repositioning tasks. Only 6 studies reported an attempt to minimize selection bias by using matching criteria [1416, 43, 56, 61], while half of the studies recruited relatively small sample sizes [14, 15, 43, 54, 56, 58, 59, 62]. A considerable variation could be observed in the chronicity of NSLBP of the participants, ranging from 4 weeks to more than 3 months, while in 4 studies [20, 58, 60, 62] this inclusion criterion was not clearly defined. Similarly, contradictory inclusion criteria were used for the asymptomatic individuals, with studies recruiting participants that had not experienced NSLPB at all, not in the last one or two years, or simply if they were asymptomatic the day of testing. The diversity in demographic characteristics along with the missingness of relevant information could plausibly explain the presence of outliers in quantitative synthesis and the inconsistency of the findings. To illustrate, the study of Brumagne et al, [62] was an outlier in VE and CE analyses; however, they recruited significantly younger individuals (mean age 22 years) than all other included studies (participant age >30 years) and provided no information regarding the chronicity of NSLBP and the NSLBP status–current or previous—for the asymptomatic individuals. From a different perspective, the RE indices reported limited a comprehensive evaluation of proprioceptive acuity in NSLBP. Most studies reported mainly one aspect of RE (15/16 studied AE), which constrained the analysis possible for error direction or the inconsistency about the target posture [25]. Finally, inconsistencies in measurement approaches likely affected the quantitative synthesis and complicated interpretation of the findings. Trial repetitions ranged from 3 to 10, with half of studies using 5 or more attempts [14, 20, 54, 56, 57, 6062]. While in 4 studies [15, 16, 43, 56] participants were allowed to warm-up, were given practice trials, and the repositioning task was demonstrated, for the remaining only warm-up or practice trials were performed. On the one hand, the stability of reliability indices has been argued to be dependent on the number of attempts used to calculate them and precision estimates are underestimated for data derived from three or fewer attempts, such that at least five attempts are suggested [64]. On the other hand, evidence suggests that practice improves performance in a positioning task [65] and when given a sufficient number of learning trials, NSLBP patients were able to reproduce a posture with the precision and variability observed in asymptomatic individuals [66]. These issues make it difficult to ascertain precisely the factors that contributed to the variability observed. By subgrouping according to symptoms’ severity, low and very low certainty evidence suggests no difference in error variability, significantly greater AE in NSLBP patients, and inconsistent results regarding error direction. The lack of a dose-response relationship between proprioceptive deficit and pain and disability [19] can probably explain this variation and the significant or not effects can be attribute to sample characteristics, or diversity in methodology implemented in included studies.

Very low certainty evidence suggests greater AE (medium effect) between NSLBP patients and asymptomatic individuals in a blindfolded repositioning task, and no difference with vision available. Despite this finding seeming logical, it is conflicting with previous work [6769]. Study methodological diversity render firm conclusions unsafe.

Repositioning errors in directional subgroups of NSLBP patients

Low and very low certainty evidence suggests greater AE (large effect) and VE (medium effect), and a tendency (small effect) to underestimate the neutral target posture in patients (combined adults and adolescents) with flexion-aggravated NSLBP compared to asymptomatic individuals. The visual observation of the forest plots strengthens the notion that NSLBP is not a homogenous group. Three studies [9, 14, 55] that specifically used the O’Sullivan’s classification system (i.e., flexion-aggravated NSLBP subgroup) appeared as outliers when analyzed along with all other studies or in the moderate NSLBP subgroup analysis (AE and VE), suggesting that this subgroup may differ across several variables with other NSLBP subgroups.

The results for AE in patients with flexion-aggravated NSLBP demonstrated a relatively homogeneous pattern for less accuracy. The exclusion from quantitative synthesis of adolescents did not affect the evidence that the REs are greater in NSLBP as compared to asymptomatic individuals. The fact that the flexion-aggravated NSLBP subgroup is characterized by adult and adolescent patients reporting sitting as a pain provoking activity, may plausibly explain the large effect of the proprioceptive deficit. However, the VE seemed to associate with the severity of symptoms and disability among studies, with increased nociceptive “noise” increasing variability of repositioning [9, 16, 55]. These findings indicate that the reduced accuracy and increased variability are common characteristics of patients with flexion-aggravated NSLBP, irrespective of age. Interestingly, the flexion-aggravated adult NSLBP subgroup demonstrated a direction-specific neutral spine position deficit (CE) and a tendency to reposition in a pain-provoking direction (undershooting). A pattern that was not evident in adolescents with flexion-aggravated NSLBP, who tended to overshoot the target posture. It has been argued that the sensation of pain should reinforce patients’ desire to adopt postures away from the pain provoking movement [9], an assumption that was not confirmed in adult patients with flexion-aggravated NSLBP. It has been hypothesized that the underestimation of target posture and the observed abdominal muscle hyperactivity might be maladaptive by not allowing them to deviate from the flexed posture [9]. Evidence from adolescents with flexion-aggravated NSLBP suggests that levels of muscle activation did not differ as compared with asymptomatic individuals [10], indicating a significant difference with adult patients. Nonetheless, the generalizability of this finding is limited due to the contamination of the adolescent sample by the combination of adolescents with “multidirectional” and flexion-aggravated NSLBP [16].

In contrast, moderate certainty evidence suggests greater AE (very large effect) and VE (large effect) in adults with extension-aggravated NSLBP compared to asymptomatic adults. Low-level certainty evidence presented no difference in error direction irrespectively of age in patients with extension-aggravated NSLBP compared to asymptomatic individuals. The inclusion or not of adolescents in quantitative synthesis had a significant impact on the direction of the effect estimate by increasing the magnitude of both AE and VE in the adult subgroup. Adolescents with extension-aggravated NSLBP presented better accuracy and less variability compared to adults. This finding contrasts with evidence indicating that the proprioceptive performance of adolescents is less efficient than that of adults [70, 71] and must be elucidated in future research. Additionally, adolescents with extension-aggravated NSLBP presented better accuracy and less variability compared to the flexion-aggravated adolescent NSLBP subgroup. It has been argued that the greater report of pain in the lumbar spine and the sitting as the most provoking posture in those adolescents in the flexion sub-group could explain this discrepancy [16].

Similar to flexion-aggravated NSLBP, the extension-aggravated adult NSLBP patients repositioned into a pain provoking direction (overshooting). The adolescents in the extension pattern did not differ to asymptomatic individuals in error direction. Given the sparse evidence in spinal proprioceptive acuity in adolescents with NSLBP, these results should be interpreted with caution.

Clinical implications and methodological considerations

Mounting evidence suggests that NSLBP is not a homogenous group, but rather represents a variety of clinical presentations which may differ across numerous domains such as physical, psychological and lifestyle aspects [46, 72]. Postural training approaches involving spinal repositioning sense [73], or targeting postural and movement behaviors [74] have been advocated to reduce pain and disability. While the findings of our review support the contention that proprioceptive acuity is impaired among people with NSLBP, we must ask how meaningful the observed difference is considering the aforementioned concerns regarding how confident we can be about the findings.

In practice, the MCID for any measure will be the sum of the “noise” in the measurement (smallest real difference) and that amount deemed clinically important, for the particular situation. The amount deemed clinically important will be influenced by the specifics of the situation at hand. For example, in this review the SMDs for RE between asymptomatic and NSLBP patients ranged from 1.5° to 4.4°, which has clinical importance in terms of discriminating patients from asymptomatic individuals. The measurement error reported in included studies was >5°, hence the MCID would be somewhere between 6.5° and 9.4°. Therefore, we suggest that despite the statistically significant differences in AE, VE, and CE and the potential to detect such small changes, the clinical applicability of measuring such small impairments is debatable. Previous research [73] evaluating a guided postural intervention which reported changes in RE all being <5° support this contention.

Limitations and future research

In the light of contemporary evidence highlighting that discrepancies exist between risk of bias and study quality assessment findings, with the former impairing accurate inferences about the credibility of study outcomes [75, 76] we deviated from our published analysis plan (PROSPERO). Also, due to variability of data reporting in included studies and the impact on pooling in previous systematic reviews [11, 12], we changed the meta-analysis software used for quantitative synthesis.

We acknowledge the limitations of pooling results from different measurement methods; however, subgroup analyses gave insight into this discrepancy. Another limitation is the arbitrarily selected cut-off values to subclassify participants with mild or moderate to severe NSLBP.

Despite the notion that 3D software-based devices are more accurate than other measures, the increased variability in setting and the involvement of testers may have affected their precision. We recommend future studies to report within- and between-day reliability, and the measurement errors of both devices and approaches in order to make meaningful inferences of repositioning acuity. Methodological diversity, heterogeneity, large and inconclusive prediction intervals, and unjustified “noise” in the measurement hamper generalisability and render firm conclusions unsafe.

Further research is needed to evaluate the acceptable degree of error in lumbo-pelvic proprioceptive testing considering factors such as a) the absolute value of the measurement, b) the available motion of the segment, c) the degree of difference observed between people with or without pain, or d) the degree of change observed from the start to the end of rehabilitation.

Conclusions

The current review demonstrated very low and low certainty evidence of greater seated sagittal plane RE in NSLBP patients compared to asymptomatic individuals. Subgroup analyses suggested moderate certainty evidence of greater AE and repositioning variability between asymptomatic individuals and directional subgroups of NSLBP patients, but low and very low certainty evidence of variable results in error direction. Given the magnitude of error and the calculated “noise” of the measurement, we suggest that the statistically significant differences documented here, may be of limited clinical utility.

References

  1. 1. Hoy D, March L, Brooks P, Blyth F, Woolf A, Bain C, et al. The global burden of low back pain: estimates from the Global Burden of Disease 2010 study. Ann Rheum Dis. 2014;73(6):968–74. pmid:24665116
  2. 2. Vos T, Flaxman AD, Naghavi M, Lozano R, Michaud C, Ezzati M, et al. Years lived with disability (YLDs) for 1160 sequelae of 289 diseases and injuries 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet. 2012;380(9859):2163–96. pmid:23245607
  3. 3. Maher C, Underwood M, Buchbinder R. Non-specific low back pain. Lancet. 2017;389(10070):736–47. pmid:27745712
  4. 4. Linton SJ. A review of psychological risk factors in back and neck pain. Spine (Phila Pa 1976). 2000;25(9):1148–56. pmid:10788861
  5. 5. O’Sullivan P. Diagnosis and classification of chronic low back pain disorders: Maladaptive movement and motor control impairments as underlying mechanism. Man Ther. 2005;10(4):242–55. pmid:16154380
  6. 6. Dankaerts W, O’Sullivan P, Burnett A, Straker L. Altered patterns of superficial trunk muscle activation during sitting in nonspecific chronic low back pain patients: Importance of subclassification. Spine. 2006;31(17):2017–23. pmid:16924221
  7. 7. Dankaerts W, O’Sullivan P, Burnett A, Straker L. Differences in sitting postures are associated with nonspecific chronic low back pain disorders when patients are subclassified. Spine. 2006;31(6):698–704. pmid:16540876
  8. 8. Dankaerts W, O’Sullivan PB, Straker LM, Burnett AF, Skouen JS. The inter-examiner reliability of a classification method for non-specific chronic low back pain patients with motor control impairment. Man Ther. 2006;11(1):28–39. pmid:15936976
  9. 9. Sheeran L, Sparkes V, Caterson B, Busse-Morris M, Van Deursen R. Spinal position sense and trunk muscle activity during sitting and standing in nonspecific chronic low back pain: Classification analysis. Spine. 2012;37(8):E486–E95. pmid:22024899
  10. 10. Astfalck R, O’Sullivan P, Straker L, Smith A, Burnett A, Caneiro J. Sitting postures and trunk muscle activity in adolescents with and without nonspecific chronic low back pain. Spine. 2010;35:1387–95. pmid:20195206
  11. 11. Tong MH, Mousavi SJ, Kiers H, Ferreira P, Refshauge K, van Dieen J. Is There a Relationship Between Lumbar Proprioception and Low Back Pain? A Systematic Review With Meta-Analysis. Arch Phys Med Rehabil. 2017;98(1):120–36.e2. pmid:27317866
  12. 12. Rausch Osthoff A-K, Ernst MJ, Rast FM, Mauz D, Graf ES, Kool J, et al. Measuring Lumbar Reposition Accuracy in Patients With Unspecific Low Back Pain: Systematic Review and Meta-analysis. Spine. 2015;40(2):E97–E111. pmid:25575094
  13. 13. Laird RA, Gilbert J, Kent P, Keating JL. Comparing lumbo-pelvic kinematics in people with and without back pain: a systematic review and meta-analysis. BMC Musculoskelet Disord. 2014;15:229. pmid:25012528
  14. 14. O’Sullivan PB, Burnett A, Floyd AN, Gadsdon K, Logiudice J, Miller D, et al. Lumbar repositioning deficit in a specific low back pain population. Spine. 2003;28(10):1074–9. pmid:12768152
  15. 15. O’Sullivan K, Verschueren S, Van Hoof W, Ertanir F, Martens L, Dankaerts W. Lumbar repositioning error in sitting: Healthy controls versus people with sitting-related non-specific chronic low back pain (flexion pattern). Man Ther. 2013;18(6):526–32. pmid:23756034
  16. 16. Astfalck RG, O’Sullivan PB, Smith AJ, Straker LM, Burnett AF. Lumbar spine repositioning sense in adolescents with and without non-specific chronic low back pain–An analysis based on sub-classification and spinal regions. Man Ther. 2013;18(5):410–7. pmid:23518039
  17. 17. Pickar J. Proprioceptive contributions from paraspinal muscle spindles to the relationship between control of the trunk and back pain. In: Hodges P, Cholewicki J, Van Dieen J, editors. Spine control: the rehabilitation of back pain State of the art and science. Edinburgh: Churchill Livingstone; 2013. p. 145–55.
  18. 18. Cholewicki J, Silfies SP, Shah RA, Greene HS, Reeves NP, Alvi K, et al. Delayed trunk muscle reflex responses increase the risk of low back injuries. Spine. 2005;30(23):2614–20. pmid:16319747
  19. 19. Lin J, Halaki M, Rajan P, Leaver A. Relationship Between Proprioception and Pain and Disability in People With Non-Specific Low Back Pain: A Systematic Review With Meta-Analysis. Spine. 2019;44(10):E606–e17. pmid:30726200
  20. 20. Silfies SP, Cholewicki J, Reeves NP, Greene HS. Lumbar position sense and the risk of low back injuries in college athletes: a prospective cohort study. BMC Musculoskelet Disord. 2007;8:129. pmid:18166132
  21. 21. Preuss R, Grenier S, McGill S. The Effect of Test Position on Lumbar Spine Position Sense. J Orthop Sports Phys Ther. 2003;33(2):73–8. pmid:12619745
  22. 22. Grob KR, Kuster MS, Higgins SA, Lloyd DG, Yata H. Lack of correlation between different measurements of proprioception in the knee. J Bone Joint Surg Br. 2002;84-B(4):614. pmid:12043789
  23. 23. Moher D, Liberati A, Tetzlaff J, Altman DG. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS Med. 2009;6(7):e1000097. pmid:19621072
  24. 24. Higgins JPT, Green S. Cochrane Handbook for Systematic Reviews of Interventions. Version 5.1.0 ed: The Cochrane Collaboration; 2011.
  25. 25. Schmidt R. Motor control and learning. A behavioral emphasis. 2nd ed: Champain: Human Kinetics Publishers Inc.; 1988.
  26. 26. Liberati A, Altman DG, Tetzlaff J, Mulrow C, Gøtzsche PC, Ioannidis JPA, et al. The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate healthcare interventions: explanation and elaboration. BMJ. 2009;339:b2700. pmid:19622552
  27. 27. Schlosser RW, Wendt O, Sigafoos J. Not all systematic reviews are created equal: Considerations for appraisal. Evid Based Commun Assess Interv. 2007;1(3):138–50.
  28. 28. Downs SH, Black N. The feasibility of creating a checklist for the assessment of the methodological quality both of randomised and non-randomised studies of health care interventions. J Epidemiol Community Health. 1998;52(6):377–84. pmid:9764259
  29. 29. Khalaj N, Vicenzino B, Heales LJ, Smith MD. Is chronic ankle instability associated with impaired muscle strength? Ankle, knee and hip muscle strength in individuals with chronic ankle instability: a systematic review with meta-analysis. Br J Sports Med. 2020;54(14):839–847. pmid:31937576
  30. 30. Semciw A, Neate R, Pizzari T. Running related gluteus medius function in health and injury: A systematic review with meta-analysis. J Electromyogr Kinesiol. 2016;30:98–110. pmid:27367574
  31. 31. Reeves B, Deeks J, Higgins J, Wells G. Chapter 13: Including non-randomized studies. 2011. In: Higgins J.P.T., Green S. (Eds.),. Cochrane Handbook for Systematic Reviews of Interventions. England; Hoboken, NJ: Wiley-Blackwell, Chichester,; 2011.
  32. 32. Higgins JPT, Altman DG. Assessing risk of bias in included studies. In: Higgins J.P.T., Green S. (Eds.),. Cochrane Handbook for Systematic Reviews of Interventions. England; Hoboken, NJ: Wiley-Blackwell, Chichester,; 2011. p. 187–241.
  33. 33. Hopkins WG. A scale of magnitudes for effect statistics. A new view of statistics, 2006. Available: http://sportsci.org/resource/stats/index.html
  34. 34. Borenstein M, Higgins JP, Hedges LV, Rothstein HR. Basics of meta-analysis: I(2) is not an absolute measure of heterogeneity. Res Synth Methods. 2017;8(1):5–18. pmid:28058794
  35. 35. Schroll JB, Moustgaard R, Gotzsche PC. Dealing with substantial heterogeneity in Cochrane reviews. Cross-sectional study. BMC Med Res Methodol. 2011;11:22. pmid:21349195
  36. 36. Borenstein M. Research Note: In a meta-analysis, the I(2) index does not tell us how much the effect size varies across studies. J Physiother. 2020;66(2):135–9. pmid:32307309
  37. 37. Borenstein M, Hedges LV, Higgins JPT, Rothstein HR. Introduction to Meta-Analysis. Editor: John Wiley & Sons, Ltd; 2009.
  38. 38. Donelson R. Rapidly reversible low back pain. An evidence-based pathway to widespread recoveries and savings Hanover, New Hampshire: SelfCare First; 2007.
  39. 39. Tonosu J, Takeshita K, Hara N, Matsudaira K, Kato S, Masuda K, et al. The normative score and the cut-off value of the Oswestry Disability Index (ODI). Eur Spine J. 2012;21(8):1596–602. pmid:22298236
  40. 40. Fairbank JC, Pynsent PB. The Oswestry Disability Index. Spine (Phila Pa 1976). 2000;25(22):2940–52. pmid:11074683
  41. 41. Roland M, Morris R. A study of the natural history of back pain. Part I: Development of a reliable and sensitive measure of disability in low-back pain. Spine. 1983;8(2):141–4. pmid:6222486
  42. 42. Maffey-Ward L, Jull G, Wellington L. Toward a Clinical Test of Lumbar Spine Kinesthesia. J Orthop Sports Phys Ther. 1996;24(6):354–8. pmid:8938601
  43. 43. Lam SS-K, Jull G, Treleaven J. Lumbar Spine Kinesthesia in Patients with Low Back Pain. J Orthop Sports Phys Ther. 1999;29(5):294–9. pmid:10342567
  44. 44. Ioannidis JPA, Trikalinos TA. The appropriateness of asymmetry tests for publication bias in meta-analyses: a large survey. CMAJ. 2007;176(8):1091–6. pmid:17420491
  45. 45. Dolan KJ, Green A. Lumbar spine reposition sense: The effect of a ’slouched’ posture. Man Ther. 2006;11(3):202–7. pmid:16621667
  46. 46. Denegar CR, Ball DW. Assessing reliability and precision of measurement: an introduction to intraclass correlation and standard error of measurement. J Sport Rehabil. 1993;2(1):35–42.
  47. 47. Korakakis V, Giakas G, Sideris V, Whiteley R. Repeated end range spinal movement while seated abolishes the proprioceptive deficit induced by prolonged flexed sitting posture. A study assessing the statistical and clinical significance of spinal position sense. Musculoskelet Sci Pract. 2017;31:9–20. pmid:28624723
  48. 48. Beckerman H, Roebroeck ME, Lankhorst GJ, Becher JG, Bezemer PD, Verbeek ALM. Smallest real difference, a link between reproducibility and responsiveness. Qual Life Res. 2001;10(7):571–8. pmid:11822790
  49. 49. Guyatt GH, Thorlund K, Oxman AD, Walter SD, Patrick D, Furukawa TA, et al. GRADE guidelines: 13. Preparing summary of findings tables and evidence profiles-continuous outcomes. J Clin Epidemiol. 2013;66(2):173–83. pmid:23116689
  50. 50. Balshem H, Helfand M, Schunemann HJ, Oxman AD, Kunz R, Brozek J, et al. GRADE guidelines: 3. Rating the quality of evidence. J Clin Epidemiol. 2011;64(4):401–6. pmid:21208779
  51. 51. Guyatt G, Oxman AD, Akl EA, Kunz R, Vist G, Brozek J, et al. GRADE guidelines: 1. Introduction-GRADE evidence profiles and summary of findings tables. J Clin Epidemiol. 2011;64(4):383–94. pmid:21195583
  52. 52. van der Gaag WH, Roelofs PD, Enthoven WT, van Tulder MW, Koes BW. Non-steroidal anti-inflammatory drugs for acute low back pain. Cochrane Database Syst Rev. 2020;4:Cd013581. pmid:32297973
  53. 53. Atkins D, Best D, Briss PA, Eccles M, Falck-Ytter Y, Flottorp S, et al. Grading quality of evidence and strength of recommendations. BMJ. 2004;328(7454):1490. pmid:15205295
  54. 54. Haydu TL. Accuracy of pelvis repositionning in individulas with and without low back pain [Doctor of Philosophy]. Knoxville: The University of Tennessee; 2000.
  55. 55. Sheeran L, Sparkes V, Whatling G, Biggs P, Holt C. Identifying non-specific low back pain clinical subgroups from sitting and standing repositioning posture tasks using a novel Cardiff Dempster–Shafer Theory Classifier. Clin Biomech (Bristol, Avon). 2019;70:237–44. pmid:31669957
  56. 56. Korakakis V, O’Sullivan K, Sideris V, Giakas G. No differences in spinal repositioning error in patients with low back pain presenting with a directional preference into extension. Eur J Physiother. 2019:1–9.
  57. 57. Boucher JA, Roy N, Preuss R, Lariviere C. The effect of two lumbar belt designs on trunk repositioning sense in people with and without low back pain. Ann Phys Rehabil Med. 2017;60(5):306–11. pmid:28461129
  58. 58. Enoch F, Kjaer P, Elkjaer A, Remvig L, Juul-Kristensen B. Inter-examiner reproducibility of tests for lumbar motor control. BMC Musculoskelet Disord. 2011;12:114. pmid:21612650
  59. 59. Lee AS, Cholewicki J, Reeves NP, Zazulak BT, Mysliwiec LW. Comparison of trunk proprioception between patients with low back pain and healthy controls. Arch Phys Med Rehabil. 2010;91(9):1327–31. pmid:20801248
  60. 60. Mitchell T, O’Sullivan PB, Smith A, Burnett AF, Straker L, Thornton J, et al. Biopsychosocial factors are associated with low back pain in female nursing students: a cross-sectional study. Int J Nurs Stud. 2009;46(5):678–88. pmid:19118828
  61. 61. Asell M, Sjolander P, Kerschbaumer H, Djupsjobacka M. Are lumbar repositioning errors larger among patients with chronic low back pain compared with asymptomatic subjects? Arch Phys Med Rehabil. 2006;87(9):1170–6. pmid:16935050
  62. 62. Brumagne S, Cordo P, Lysens R, Verschueren S, Swinnen S. The role of paraspinal muscle spindles in lumbosacral position sense in individuals with and without low back pain. Spine. 2000;25(8):989–94. pmid:10767813
  63. 63. Mitchell T, O’Sullivan PB, Burnett A, Straker L, Smith A, Thornton J, et al. Identification of modifiable personal factors that predict new-onset low back pain: A prospective study of female nursing students. Clin J Pain. 2010;26(4):275–83. pmid:20393261
  64. 64. Allison GT, Fukushima S. Estimating Three-Dimensional Spinal Repositioning Error: The Impact of Range, Posture, and Number of Trials. Spine. 2003;28(22):2510–6. pmid:14624086
  65. 65. Jaric S, Corcos DM, Latash ML. Effects of practice on final position reproduction. Exp Brain Res. 1992;91(1):129–34. pmid:1301366
  66. 66. Descarreaux M, Blouin JS, Teasdale N. Repositioning accuracy and movement parameters in low back pain subjects and healthy control subjects. Eur Spine J. 2005;14(2):185–91. pmid:15759173
  67. 67. Desmurget M, Vindras P, Gréa H, Viviani P, Grafton ST. Proprioception does not quickly drift during visual occlusion. Exp Brain Res. 2000;134(3):363–77. pmid:11045361
  68. 68. Newcomer K, Laskowski ER, Yu B, Larson DR, An KN. Repositioning error in low back pain. Comparing trunk repositioning error in subjects with chronic low back pain and control subjects. Spine. 2000;25(2):245–50. pmid:10685490
  69. 69. van Beers RJ, Sittig AC, Denier van der Gon JJ. How humans combine simultaneous proprioceptive and visual position information. Exp Brain Res. 1996;111(2):253–61. pmid:8891655
  70. 70. Vaugoyeau M, Viel S, Amblard B, Azulay JP, Assaiante C. Proprioceptive contribution of postural control as assessed from very slow oscillations of the support in healthy humans. Gait Posture. 2008;27(2):294–302. pmid:17509884
  71. 71. Viel S, Vaugoyeau M, Assaiante C. Adolescence: a transient period of proprioceptive neglect in sensory integration of postural control. Motor Control. 2009;13(1):25–42. pmid:19246776
  72. 72. Long A, Donelson R, Fung T. Does it matter which exercise? A randomized control trial of exercise for low back pain. Spine. 2004;29(23):2593–602. pmid:15564907
  73. 73. Sheeran L, van Deursen R, Caterson B, Sparkes V. Classification-Guided Versus Generalized Postural Intervention in Subgroups of Nonspecific Chronic Low Back Pain: A Pragmatic Randomized Controlled Study. Spine. 2013;38(19):1613–25. pmid:23759804
  74. 74. Vibe Fersum K, O’Sullivan P, Skouen JS, Smith A, Kvale A. Efficacy of classification-based cognitive functional therapy in patients with non-specific chronic low back pain: a randomized controlled trial. Eur J Pain. 2013;17(6):916–28. pmid:23208945
  75. 75. Büttner F, Winters M. Identifying the ’incredible’! Part 1: assessing the risk of bias in outcomes included in systematic reviews. Br J Sports Med. 2020;54(13):798–800. pmid:31871015
  76. 76. Büttner F, Winters M. Identifying the ’incredible’! Part 2: Spot the difference—a rigorous risk of bias assessment can alter the main findings of a systematic review. Br J Sports Med. 2020;54(13):801. pmid:31871014