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Risk of Alzheimer's disease or dementia following a cancer diagnosis

  • Erin J. Aiello Bowles ,

    Roles Conceptualization, Data curation, Formal analysis, Project administration, Visualization, Writing – original draft, Writing – review & editing

    bowles.e@ghc.org

    Affiliation Kaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, Washington, United States of America

  • Rod L. Walker,

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

    Affiliation Kaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, Washington, United States of America

  • Melissa L. Anderson,

    Roles Writing – original draft, Writing – review & editing

    Affiliation Kaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, Washington, United States of America

  • Sascha Dublin,

    Roles Writing – original draft, Writing – review & editing

    Affiliations Kaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, Washington, United States of America, Department of Epidemiology, University of Washington, Seattle, Washington, United States of America

  • Paul K. Crane,

    Roles Conceptualization, Funding acquisition, Investigation, Resources, Writing – original draft, Writing – review & editing

    Affiliation Division of General Internal Medicine, Department of Medicine, University of Washington, Seattle, Washington, United States of America

  • Eric B. Larson

    Roles Conceptualization, Funding acquisition, Investigation, Project administration, Resources, Supervision, Writing – original draft, Writing – review & editing

    Affiliations Kaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, Washington, United States of America, Division of General Internal Medicine, Department of Medicine, University of Washington, Seattle, Washington, United States of America

Abstract

Objective

We evaluated dementia and Alzheimer’s disease (AD) risks after a cancer diagnosis in a population-based prospective cohort, the Adult Changes in Thought (ACT) study.

Methods

We followed community-dwelling people aged ≥65 years without dementia at study entry for incident dementia and AD from 1994–2015. We linked study data with cancer registry data and categorized cancer diagnoses as prevalent (diagnosed before ACT study enrollment) or incident (diagnosed during follow-up). We used Cox regression to estimate cause-specific hazard ratios (HRs) with 95% confidence intervals (CIs) for dementia or AD risk comparing people with a cancer diagnosis to people without cancer. We conducted sensitivity analyses restricted to people surviving beyond age 80, and stratified by cancer stage, type, and whether the cancer was smoking-related.

Results

Among 4,357 people, 756 (17.4%) had prevalent cancer; 583 (13.4%) developed incident cancer, 1,091 (25.0%) developed dementia, and 877 (20.1%) developed AD over a median 6.4 years (34,482 total person-years) of follow-up. Among complete cases (no missing covariates) with at least one follow-up assessment, adjusted HRs for dementia following prevalent and incident cancer diagnoses were 0.92 (95%CI: 0.76, 1.11) and 0.87 (95%CI: 0.64, 1.04), compared to no cancer history. HRs for AD were 0.95 (95%CI: 0.77, 1.17) for prevalent cancer and 0.73 (95%CI: 0.55, 0.96) for incident cancer. In sensitivity analyses, prevalent late-stage cancers were associated with reduced risks of dementia (HR = 0.51, 95%CI: 0.30, 0.89) and AD (HR = 0.50, 95%CI: 0.27, 0.94). When limited to people who survived beyond age 80, incident cancers were still associated with reduced AD risk (HR = 0.69, 95%CI: 0.51, 0.92).

Conclusions

Our results do not support an inverse association between prevalent cancer diagnoses, which were primarily early-stage, less aggressive cancers, and risk of dementia or AD. A reduced risk of AD following an incident cancer diagnosis is biologically plausible but may reflect selective mortality.

Introduction

Cancer and Alzheimer’s disease (AD) incidences increase sharply with age; however, epidemiologic data suggest that cancer survivors are less likely to develop AD than people who have never had cancer.[16] Disease etiology suggests opposite biologic processes—cancer is defined by uncontrolled tumor cell growth, while AD is associated with neuronal cell death.[7] For example, the protein PIN1, an enzyme involved in protein folding and cell cycle control, can be over-expressed in cancer tumors and under-expressed in brain tissue from people with AD.[8] In addition, p53, a tumor suppressor protein, is inactivated in many cancer cells whereas enhanced p53 activity has been associated with neurodegeneration in people with dementia.[9, 10] Other biological processes involving inflammation and immune function may play a role in this inverse association.[10, 11]

It is possible that inverse associations from observational studies reflect bias from selective mortality. Cancer is the second most common cause of death in the US.[12] People with cancer may appear to have a reduced risk of dementia and AD because of their high mortality risk. People with cancer who die before they have a chance to develop dementia or AD may differ in important ways from those who survive.

Several prior observational studies have noted significant inverse associations between cancer and dementia or AD risk, including a recent meta-analysis.[24, 6, 13, 14] The meta-analysis acknowledges limitations of these cohort studies stating that additional “well-designed prospective studies with strict control of confounding factors are needed.”[13] Therefore, we conducted a prospective analysis of the association between cancer diagnoses and dementia and AD outcomes using data from the Adult Changes in Thought (ACT) study cohort adjusting for a wide range of prospectively collected confounders. We evaluated prevalent cancers (diagnosed before study entry when everyone was cognitively health) and incident cancers (diagnosed during study follow-up) separately. We are unaware of any prior study that has evaluated prevalent and incident cancer as separate exposures to see if there is a difference in subsequent dementia or AD risk. We conducted several sensitivity analyses to examine the impact of selective mortality.

Materials and methods

The ACT study has been described previously.[1517] In 1994, the ACT study began enrolling community-dwelling adult members of Kaiser Permanente Washington (formerly known as Group Health), a non-profit integrated healthcare system in Washington state, and who lived in or near Seattle. Participants had to be 65 years or older and dementia-free at enrollment. The goal was to conduct a longitudinal study of aging with dementia and AD as primary outcomes; enrollment and follow-up were not related to cancer. ACT enrollment includes: the original cohort enrolled between 1994 and 1996 (n = 2,581), an expansion cohort enrolled between 2000 and 2003 (n = 811), and a continuously enrolled cohort starting in 2004 to maintain a living population of 2000 people. In-person visits occur every two years until the participant dies, develops dementia, or disenrolls from the study. The analyses for this paper include data for 4,357 people collected through August 1, 2015. Analyses were limited to people with at least one follow-up visit because this was the first opportunity for study participants to be diagnosed with dementia or AD. Study participants provided written informed consent and all study procedures were approved by the Institutional Review Board at Kaiser Permanente Washington.

Exposure

We identified cancer cases by linking ACT study data with the Western Washington Surveillance Epidemiology and End Results (SEER) registry. Kaiser Permanente Washington has linked with SEER since 1974 for primary cancer diagnoses, tumor characteristics, and treatment information within 12 months of diagnosis using methods previously described.[1820] The Western Washington SEER registry consistently ranks in the top 3 of all SEER registries in terms of data completeness and accuracy,[21] and provides an unbiased source of prospectively collected cancer exposure data as opposed to medical records or self-report. All ACT study participants live within the 13-county area covered by the Western Washington SEER registry. We obtained data on the diagnosis date, stage, site, grade, lymph node involvement, extension of disease, and first course of treatment (including surgery, chemotherapy, radiation therapy, and hormone therapy). We included all cancer types, including reportable skin cancers (excluding basal and squamous cell carcinomas).

We categorized study participants as having a prevalent, incident, or no cancer diagnosis. Prevalent diagnoses occurred any time before ACT study enrollment. Incident diagnoses occurred during ACT study follow-up but before a diagnosis of dementia or AD. We treated cancer as a time-varying exposure. If a person enrolled in the ACT study with no prior cancer diagnosis and then developed a cancer during follow-up, they were counted as having no cancer up until the cancer diagnosis date and counted as having an incident cancer thereafter. If a person had a cancer diagnosis before ACT study enrollment, they were counted as having a prevalent cancer through the end of follow-up unless they developed a second cancer after ACT study enrollment; thereafter, they were counted as having an incident cancer.

Outcomes

Procedures used to identify incident dementia and AD have been described previously.[15] Briefly, all participants are administered the Cognitive Abilities Screening Instrument[22] every two years. People with screening scores lower than 86/100 receive a full clinical work-up. The final diagnosis is made at a consensus conference based on Diagnostic and Statistical Manual of Mental Disorders, 4th Edition criteria to define dementia[23] and the National Institute of Neurological and Communicative Disorders and Stroke-Alzheimer’s Disease and Related Disorders Association criteria to define possible or probable AD.[24] We defined the onset dates for dementia and AD as the midpoint between the visit that led to a dementia diagnosis and the previous visit. Deaths from any cause were obtained from Washington State vital statistics and medical record data.

Covariates

Age, sex, education level, and race were collected via baseline questionnaire. Self-reported hypertension, diabetes, stroke, coronary heart disease, smoking, regular exercise (15 minutes or more at least 3 times per week), and self-rated health were collected at baseline and each follow-up visit. We calculated body mass index (BMI) from height and weight measured at each study visit. APOE genotyping has been previously described.[15] We classified participants as APOE ε4 positive if they had one or two copies of the ε4 allele.

Analysis

We summarized baseline and cancer characteristics stratified by baseline cancer status (none or prevalent). We estimated hazard ratios (HRs) and 95% confidence intervals (CIs) of dementia and AD associated with a cancer diagnosis using Cox proportional hazards models with age as the time-scale.[25] Study participants entered the analysis at the age they enrolled in the ACT study. People who had not developed dementia or AD were censored at the age of their last ACT study visit. Models were adjusted for baseline age, ACT cohort, sex, education, and time-varying measures of diabetes, heart disease, stroke, smoking, self-rated health, exercise, and BMI. Some covariates (smoking, self-rated health, exercise, and body mass index) may change because of an incident cancer diagnosis and could be in the causal pathway. We considered adjusting only for baseline values of these variables, but results did not change and we present the models with time-varying covariates. Approximately 13% were missing APOE genotype data and adjustment for APOE genotype did not substantially change point estimates; therefore, we did not include APOE genotype in our final models. Participants with missing covariate data were excluded from the final adjusted models for a complete-case sample size of 4,281. We assessed models for proportional hazards assumption violations using the likelihood ratio test for interactions between exposures and time and visual inspection of residual plots, and found no violations.

We summarized study participants’ follow-up status (still alive, diagnosed with dementia, withdrew, or died) by cancer status at the end of follow-up (no diagnosis, prevalent only and incident cancer). Follow-up status can depend on age at study entry; therefore, we stratified these results by baseline age groups (65–74, 75–84, and ≥85 years).

We conducted sensitivity analyses to evaluate the potential impact of selective mortality. We evaluated whether the risks of dementia and AD differed by cancer stage, hypothesizing that early stage cancers (in situ/ local stage) would be less likely to result in death than late stage cancers (regional/ distant stage). We restricted analyses to people surviving at least to age 80. We limited analyses to more common cancers (breast and prostate) to understand if specific cancer types were associated with dementia or AD risk. We stratified by smoking- and non-smoking-related cancers (smoking-related cancers included oral cavity, pharynx, larynx, esophagus, stomach, pancreas, lung, bladder, or kidney).[2] The reference group for all sensitivity analyses was people with no cancer diagnosis.

Results

Among 4,357 people in this study, 756 (17.4%) had a prevalent cancer diagnosis before ACT study enrollment and 583 (13.4%) had an incident cancer diagnosis during ACT study follow-up. Participants were followed for a median of 6.4 (IQR 4.0–11.8) years or 34,482 person-years. People with no cancer diagnosis before baseline or a prevalent cancer diagnosis had similar baseline demographic and health characteristics with few exceptions (Table 1).

thumbnail
Table 1. Baseline characteristics of ACT study participants by cancer diagnoses before ACT baseline visit.

This table shows distributions of baseline demographic and health characteristics of the ACT study population, stratified by whether a person was diagnosed with any prevalent cancer at baseline. Abbreviations include: ACT (Adult Changes in Thought); IQR (interquartile range); and BMI (body mass index).

https://doi.org/10.1371/journal.pone.0179857.t001

A greater proportion of prevalent cancers were diagnosed at younger ages and early stages or low grades compared with incident cancers (Table 2). This may be driven by our study design because prevalent cancers had to be diagnosed before ACT study baseline, and people with more advanced cancers in the past may have had less chance of surviving to age 65 and ultimately enrolling in ACT. Breast and prostate cancers accounted for 46.9% of prevalent cancer diagnoses and 37.9% of incident cancer diagnoses. Greater proportions of people with incident cancers were treated with chemotherapy than people with prevalent cancers; however, equal proportions of both groups received radiation therapy.

thumbnail
Table 2. Characteristics of cancers diagnosed before baseline visit and during follow-up in ACT study participants.

This table shows the distributions of cancer characteristics among people diagnosed with a prevalent or incident cancer. Abbreviations include: ACT (Adult Changes in Thought) and IQR (interquartile range).

https://doi.org/10.1371/journal.pone.0179857.t002

During the study period, 1,091 people were diagnosed with dementia including 877 possible/probable cases of AD (Table 3). The adjusted HRs for dementia were 0.92 (95%CI: 0.76, 1.11) for prevalent cancer diagnoses and 0.82 (95%CI: 0.64, 1.04) for incident cancer diagnoses. When evaluating AD risk, the adjusted HR was only statistically significant for incident cancers (HR = 0.73, 95%CI: 0.55, 0.96).

thumbnail
Table 3. Risks of dementia and AD after a cancer diagnosis among ACT study participants.

This table shows follow-up time, dementia and AD incidence, and crude and unadjusted risks of dementia and AD for prevalent and incident cancers. Abbreviations include: ACT (Adult Changes in Thought); AD (Alzheimer’s disease); CI (confidence interval); and HR (hazard ratio).

https://doi.org/10.1371/journal.pone.0179857.t003

Table 4 summarizes follow-up status by baseline age groups and final cancer status. People with incident cancers had the lowest proportions of study withdrawals (4.0–5.5%) and the highest proportions of deaths (35.8–60.0%) within each age group.

thumbnail
Table 4. ACT follow-up status by age at enrollment in the ACT study and final cancer exposure group.

This table shows the proportion of people by ACT study follow-up status (still alive, diagnosed with dementia, withdrew from the ACT study, or died) stratified by baseline age groups and cancer exposure group. Abbreviations include: ACT (Adult Changes in Thought).

https://doi.org/10.1371/journal.pone.0179857.t004

In sensitivity analyses, prevalent late-stage cancers (S1 Table) were associated with reduced risks of dementia (HR = 0.51, 95%CI: 0.30, 0.89) and AD (HR = 0.50, 95%CI: 0.27, 0.94). When limiting to 2,787 people who survived at least to age 80, incident cancers were associated with a reduced risk of AD (HR = 0.69, 95%CI: 0.51, 0.92, S2 Table). There were no statistically significant associations between breast or prostate cancers (S3 Table) or smoking-related cancers (S4 Table) and dementia or AD.

Discussion

Our results were similar to those from prior observational studies and one meta-analysis, in that having cancer was associated with a decreased risk of AD (as measured by the cause-specific hazard), but we only observed this for incident cancers. People with prevalent cancers did not have a significantly lower risk of dementia or AD (HRs = 0.92 and 0.95, respectively); however, people with incident cancers had a non-significant reduced risk of dementia (HR = 0.82) and a significantly reduced risk of AD (HR = 0.73) compared to people without cancer. This finding may be related to a greater mortality risk among people with incident cancers, but does not preclude a biologic explanation.

There is potential for informative censoring in our study from some unmeasurable factor that is associated with a different mortality risk in one group than another. If people with an incident cancer died before they had a chance to be diagnosed with dementia or AD and they were systematically different in unmeasured ways from people with an incident cancer who were diagnosed with dementia or AD, any inverse association between incident cancers and dementia or AD could be due to selective mortality. People diagnosed with incident cancers may have had a poor cancer prognosis as evidenced by late stages, high tumor grades, and a substantial proportion of deaths. If incident cancers were more aggressive than prevalent cancers in this cohort, they may have been associated with greater PIN1, less p53 expression, or changes in inflammation or immune function—any of which could reduce dementia risk. Therefore, while there is a possibility of bias due to informative censoring, there exists a plausible biologic rationale for a reduced risk of AD following incident cancer.

People with a prevalent cancer diagnosed before ACT study entry presumably had been treated and recovered from their cancer because they were healthy enough to join a study unrelated to their cancer diagnosis. By the time they entered the ACT study, their prior cancer diagnosis may not have affected their future mortality risk compared with similar aged people in ACT without prior cancer. However, individuals with a prevalent diagnosis might be more robust, possibly in unmeasured ways, and thus not representative of all people with cancer. For example, it is possible that people with aggressive cancers prior to ACT enrollment were too sick to enroll in the study. On average, participants with prevalent cancer had tumors that were less aggressive than incident cancers. Less aggressive tumor biology among that group may explain why we found no association between prevalent cancers and dementia or AD. This was the case in every sensitivity analysis with one exception—people diagnosed with a prevalent late-stage cancer did have significantly reduced risks of dementia and AD. Late stage cancers may have had a more aggressive biology with greater expression of PIN1 or underexpression of p53 –supporting a biological explanation for a reduced risk of dementia and AD.

Several previous studies and a meta-analysis found inverse associations between any cancer diagnosis and dementia or AD risk.[2, 4, 13, 14] However, our results showed that incident and prevalent cancers should not be combined into a single “any cancer” group because they have different associations AD and dementia. We are only aware of two prior studies that limited analyses to prevalent cancers. Both studies found inverse associations between a prevalent cancer diagnosis and AD; however, neither one provided information on cancer stage or aggressiveness.[5, 6] The Cardiovascular Health Study-Cognition Substudy[6] showed an inverse association between prevalent cancer and any AD: HR = 0.72 (95%CI: 0.52, 0.997) among 2,151 participants with no dementia at baseline (age 65, mean 5.4 years of follow-up). An Italian case-control study[5] with 126 probable AD cases and 252 matched controls showed that a prior cancer diagnosis (on average 16–17 years prior to AD onset and ascertained via a caregiver questionnaire after AD diagnosis) was associated with a reduced odds of AD (OR = 0.6, 95%CI: 0.4, 1.1). The self-reported and administrative claims data used in these studies are reasonable for classifying exposure and outcome data; however, they may be less valid than cancer data from a tumor registry or consensus-based dementia and AD diagnoses from a full neuropsychological and clinical evaluation. Additional differences in methods, including confounder adjustment, may explain different results between our study and these reports.

One important limitation of our study was we could not evaluate associations between cancer treatment and dementia or AD because SEER did not have detailed treatment data for all study years. In addition, our SEER registry started in 1974 and only covers diagnoses in 13 counties in western Washington state. We may be missing diagnoses that occurred prior to 1974 or outside of our region. The SEER registry does not capture cancer recurrences so we were unable to account for these in our analyses. However, SEER does capture second primary diagnoses, which we included in our analysis (107 people in our analysis had both a prevalent and incident cancer diagnosis). Our results might be less generalizable to more racially and ethnically diverse populations. Finally, we had reduced power for our cancer subtype analyses due to smaller numbers.

Strengths of our study include the use of validated registry-based cancer diagnoses and consensus-based dementia and AD diagnoses using rigorous methods. We follow ACT study members every two years with an in-person clinic or home visit.[26] People with incident cancer diagnoses had the lowest proportion of study withdrawals, making it unlikely that we would have missed dementia or AD diagnoses in people with cancer due to reduced detection or follow-up. In addition, this study took place in a large, population-based sample, making it one of the largest prospective analyses of cancer and dementia/AD to date.

In conclusion, our study results do not support an inverse association between prevalent cancer diagnoses, which were primarily early-stage, less aggressive cancers, and risk of dementia or AD. We did find inverse associations between prevalent cancers diagnosed at late stages with more aggressive tumor biology and dementia and AD risk, and an inverse association incident cancers diagnosed at older ages and AD risk. These results may be reassuring clinically in that there is no increased risk of dementia or AD associated with a prior cancer diagnosis. At the same time, our results among people with late-stage prevalent cancer or incident cancer provide some support to the notion that there may be a biological explanation for the inverse association. Despite biological plausibility, we cannot completely rule out the possibility of bias in our estimates due to issues related to selective mortality. Further investigation as to the biological links between cancer and the risk of neurodegeneration may be warranted. As more people survive cancer in old age in the coming years, we and others may also be able to address longer-term outcomes of cancer treatment in older people, including whether cancer treatment regimens are associated with risk of dementia or AD.

Supporting information

S1 Table. Risks of dementia and AD after a cancer diagnosis among ACT study participants, stratified by cancer stage.

This table shows risks of dementia and AD for prevalent and incident cancers stratified by early and late stage cancer diagnoses.

https://doi.org/10.1371/journal.pone.0179857.s001

(DOCX)

S2 Table. Risks of dementia and AD after a cancer diagnosis among 2,787 ACT study participants who survived to age 80 or older.

This table shows risks of dementia and AD for prevalent and incident cancers limited to people who survived to age 80 or older.

https://doi.org/10.1371/journal.pone.0179857.s002

(DOCX)

S3 Table. Risks of dementia and AD after a breast or prostate cancer diagnosis among ACT study participants.

This table shows risks of dementia and AD for prevalent and incident cancers separately for women diagnosed with breast cancer and men diagnosed with prostate cancer.

https://doi.org/10.1371/journal.pone.0179857.s003

(DOCX)

S4 Table. Risks of Dementia and AD After a Smoking-Related Cancer Diagnosis Among ACT Study Participants.

This table shows risks of dementia and AD for prevalent and incident cancers limited to people diagnosed with a smoking-related cancer (oral cavity, pharynx, larynx, esophagus, stomach, pancreas, lung, bladder, or kidney.

https://doi.org/10.1371/journal.pone.0179857.s004

(DOCX)

References

  1. 1. Demetrius LA, Simon DK. The inverse association of cancer and Alzheimer's: a bioenergetic mechanism. Journal of the Royal Society, Interface / the Royal Society. 2013;10(82):20130006. pmid:23427097;
  2. 2. Driver JA, Beiser A, Au R, Kreger BE, Splansky GL, Kurth T, et al. Inverse association between cancer and Alzheimer's disease: results from the Framingham Heart Study. BMJ (Clinical research ed). 2012;344:e1442. pmid:22411920;
  3. 3. Roe CM, Behrens MI, Xiong C, Miller JP, Morris JC. Alzheimer disease and cancer. Neurology. 2005;64(5):895–8. pmid:15753432.
  4. 4. Musicco M, Adorni F, Di Santo S, Prinelli F, Pettenati C, Caltagirone C, et al. Inverse occurrence of cancer and Alzheimer disease: a population-based incidence study. Neurology. 2013;81(4):322–8. pmid:23843468.
  5. 5. Realmuto S, Cinturino A, Arnao V, Mazzola MA, Cupidi C, Aridon P, et al. Tumor diagnosis preceding Alzheimer's disease onset: is there a link between cancer and Alzheimer's disease? Journal of Alzheimer's disease: JAD. 2012;31(1):177–82. pmid:22531415.
  6. 6. Roe CM, Fitzpatrick AL, Xiong C, Sieh W, Kuller L, Miller JP, et al. Cancer linked to Alzheimer disease but not vascular dementia. Neurology. 2010;74(2):106–12. pmid:20032288;
  7. 7. Ibanez K, Boullosa C, Tabares-Seisdedos R, Baudot A, Valencia A. Molecular evidence for the inverse comorbidity between central nervous system disorders and cancers detected by transcriptomic meta-analyses. PLoS Genet. 2014;10(2):e1004173. Epub 2014/03/04. pmid:24586201;
  8. 8. Driver JA, Zhou XZ, Lu KP. Pin1 dysregulation helps to explain the inverse association between cancer and Alzheimer's disease. Biochimica et biophysica acta. 2015;1850(10):2069–76. pmid:25583562;
  9. 9. Lanni C, Racchi M, Memo M, Govoni S, Uberti D. p53 at the crossroads between cancer and neurodegeneration. Free radical biology & medicine. 2012;52(9):1727–33. pmid:22387179.
  10. 10. Migliore L, Coppede F. Genetic and environmental factors in cancer and neurodegenerative diseases. Mutation research. 2002;512(2–3):135–53. pmid:12464348.
  11. 11. Ganguli M. Cancer and Dementia: It's Complicated. Alzheimer disease and associated disorders. 2015;29(2):177–82. pmid:25710132;
  12. 12. Centers for Disease Control and Prevention National Center for Health Statistics [September 19, 2016]. http://www.cdc.gov/nchs/fastats/leading-causes-of-death.htm.
  13. 13. Zhang Q, Guo S, Zhang X, Tang S, Shao W, Han X, et al. Inverse relationship between cancer and Alzheimer's disease: a systemic review meta-analysis. Neurol Sci. 2015;36(11):1987–94. Epub 2015/08/08. pmid:26248482.
  14. 14. Freedman DM, Wu J, Chen H, Kuncl RW, Enewold LR, Engels EA, et al. Associations between cancer and Alzheimer's disease in a U.S. Medicare population. Cancer Med. 2016. Epub 2016/09/16. pmid:27628596.
  15. 15. Kukull WA, Higdon R, Bowen JD, McCormick WC, Teri L, Schellenberg GD, et al. Dementia and Alzheimer disease incidence: a prospective cohort study. Arch Neurol. 2002;59(11):1737–46. Epub 2002/11/16. pmid:12433261.
  16. 16. Crane PK, Walker R, Hubbard RA, Li G, Nathan DM, Zheng H, et al. Glucose levels and risk of dementia. N Engl J Med. 2013;369(6):540–8. Epub 2013/08/09. pmid:23924004;
  17. 17. Larson EB, Wang L, Bowen JD, McCormick WC, Teri L, Crane P, et al. Exercise is associated with reduced risk for incident dementia among persons 65 years of age and older. Ann Intern Med. 2006;144(2):73–81. Epub 2006/01/19. pmid:16418406.
  18. 18. Hornbrook MC, Hart G, Ellis JL, Bachman DJ, Ansell G, Greene SM, et al. Building a virtual cancer research organization. J Natl Cancer Inst Monogr. 2005;(35):12–25. pmid:16287881
  19. 19. Boudreau DM, Yu O, Chubak J, Wirtz HS, Bowles EJ, Fujii M, et al. Comparative safety of cardiovascular medication use and breast cancer outcomes among women with early stage breast cancer. Breast Cancer Res Treat. 2014;144(2):405–16. Epub 2014/02/22. pmid:24557337;
  20. 20. Geiger AM, Buist DS, Greene SM, Altschuler A, Field TS. Survivorship research based in integrated healthcare delivery systems: the Cancer Research Network. Cancer. 2008;112(11 Suppl):2617–26. Epub 2008/04/23. pmid:18428194.
  21. 21. Cancer Surveillance System [cited 2017 February 2]. https://www.fredhutch.org/en/labs/phs/projects/cancer-surveillance-system/publications.html.
  22. 22. Teng EL, Hasegawa K, Homma A, Imai Y, Larson E, Graves A, et al. The Cognitive Abilities Screening Instrument (CASI): a practical test for cross-cultural epidemiological studies of dementia. Int Psychogeriatr. 1994;6(1):45–58; discussion 62. Epub 1994/01/01. pmid:8054493.
  23. 23. Diagnostic and Statistical Manual of Mental Disorders. 4th ed.. Washington, D.C.: American Psychiatric Association; 1994.
  24. 24. McKhann G, Drachman D, Folstein M, Katzman R, Price D, Stadlan EM. Clinical diagnosis of Alzheimer's disease: report of the NINCDS-ADRDA Work Group under the auspices of Department of Health and Human Services Task Force on Alzheimer's Disease. Neurology. 1984;34(7):939–44. Epub 1984/07/01. pmid:6610841.
  25. 25. Korn EL, Graubard BI, Midthune D. Time-to-event analysis of longitudinal follow-up of a survey: choice of the time-scale. Am J Epidemiol. 1997;145(1):72–80. Epub 1997/01/01. pmid:8982025.
  26. 26. Crane PK, Gibbons LE, McCurry SM, McCormick W, Bowen JD, Sonnen J, et al. Importance of home study visit capacity in dementia studies. Alzheimers Dement. 2016;12(4):419–26. Epub 2015/11/26. pmid:26602628;