Evidence map›Paper›PMID 27628596›Full record

ArticleCancer medicine2016

Associations between cancer and Alzheimer's disease in a U.S. Medicare population.

Daryl Michal Freedman, Jincao Wu, Honglei Chen, Ralph W Kuncl, Lindsey R Enewold, Eric A Engels, Neal D Freedman, Ruth M Pfeiffer

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 2 pooled it
4.6field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

42 citing papers in PubMed, 2 syntheses or guidelines pooled it, 79 citations in OpenAlex.

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  8. The inverse association between cancer history and incident cognitive impairment: Addressing attrition bias.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 5 institutions in 1 country.

Daryl Michal FreedmanDepartment of Health and Human Services, National Institutes of Health, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland. freedmam@mail.nih.gov.
Jincao WuDepartment of Health and Human Services, National Institutes of Health, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland.
Honglei ChenAging and Neuro-epidemiology Group, National Institute of Environmental Health Sciences, Research Triangle Park, Durham, North Carolina.
Ralph W KunclDepartment of Biology, University of Redlands, Redlands, California.
Lindsey R EnewoldDepartment of Health and Human Services, National Institutes of Health, Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, Maryland.
Eric A EngelsDepartment of Health and Human Services, National Institutes of Health, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland.
Neal D FreedmanDepartment of Health and Human Services, National Institutes of Health, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland.
Ruth M PfeifferDepartment of Health and Human Services, National Institutes of Health, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland.
National Cancer Institute · USDepartment of Health and Human Services · USDivision of Cancer Epidemiology and GeneticsNational Institute of Environmental Health Sciences · USUniversity of Redlands · US

Funding

Studies of Populations Exposed to Therapeutic Medical Radiation and Other AgentsZIACP010131 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI MORTON, LINDSAY · 2009 to 2025
$81.0M
6 · The paper itself

Abstract

Several studies have reported bidirectional inverse associations between cancer and Alzheimer's disease (AD). This study evaluates these relationships in a Medicare population. Using Surveillance, Epidemiology, and End Results (SEER) linked to Medicare data, 1992-2005, we evaluated cancer risks following AD in a case-control study of 836,947 cancer cases and 142,869 controls as well as AD risk after cancer in 742,809 cancer patients and a non-cancer group of 420,518. We applied unconditional logistic regression to estimate odds ratios (ORs) and Cox proportional hazards models to estimate hazards ratios (HRs). We also evaluated cancer in relation to automobile injuries as a negative control to explore potential study biases. In the case-control analysis, cancer cases were less likely to have a prior diagnosis of AD than controls (OR = 0.86; 95% CI = 0.81-0.92). Cancer cases were also less likely than controls to have prior injuries from automobile accidents to the same degree (OR = 0.83; 95% CI = 0.78-0.88). In the prospective cohort, there was a lower risk observed in cancer survivors, HR = 0.87 (95% CI = 0.84-0.90). In contrast, there was no association between cancer diagnosis and subsequent automobile accident injuries (HR = 1.03; 95% CI = 0.98-1.07). That cancer risks were similarly reduced after both AD and automobile injuries suggest biases against detecting cancer in persons with unrelated medical conditions. The modestly lower AD risk in cancer survivors may reflect underdiagnosis of AD in those with a serious illness. This study does not support a relationship between cancer and AD.

Indexed as

AgedAged, 80 and overAlzheimer DiseaseCase-Control StudiesFemaleHumansMaleMedicareNeoplasmsOdds RatioProportional Hazards ModelsProspective StudiesRisk FactorsSEER ProgramUnited StatesAlzheimer's diseaseCancercase-controlcohort

Identifiers

PMID27628596
PMCPMC5083750
OpenAlexW2519059622

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.