Evidence map›Paper›PMID 28944218›Full record

ArticleThe journal of prevention of Alzheimer's disease2017

Diabetes mitigates the role of memory complaint in predicting dementia risk: Results from the Prevention of Alzheimer's Disease with Vitamin E and Selenium Study.

X Zhang, F A Schmitt, A M Caban-Holt, X Ding, R J Kryscio, E Abner

Open access · greenAbstract read
In one paragraph

Article in The journal of prevention of Alzheimer's disease, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–field-weighted citation impact, top 70% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
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

6 authors at 1 institution in 1 country.

X ZhangSanders-Brown Center on Aging, University of Kentucky, Lexington KY 40536, USA.
F A SchmittSanders-Brown Center on Aging, University of Kentucky, Lexington KY 40536, USA.
A M Caban-HoltSanders-Brown Center on Aging, University of Kentucky, Lexington KY 40536, USA.
X DingDepartment of Public Health, Western Kentucky University, Bowling Green KY 42101, USA.
R J KryscioSanders-Brown Center on Aging, University of Kentucky, Lexington KY 40536, USA.
E AbnerSanders-Brown Center on Aging, University of Kentucky, Lexington KY 40536, USA.
University of Kentucky · US

Funding

SWOG Foreign AccrualsU10CA037429 · NCI · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI BLANKE, CHARLES D., MEYSKENS, FRANK L. · 1985 to 2014
$205.2M
SWOG NCORP Research BaseUG1CA189974 · NCI · THE HOPE FOUNDATION · PI CHARLES D. BLANKE, DAWN HERSHMAN · 2014 to 2026
$80.6M
Prevention of Alzheimer's Diseae by Vitamin E and SeleniumR01AG019241 · NIA · UNIVERSITY OF KENTUCKY · PI SCHMITT, FREDERICK · 2001 to 2012
$12.1M
PCPT and SELECT cohorts: Core Infrastructure Support for Cancer Research UM1CA182883 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI TANGEN, CATHERINE M., THOMPSON, IAN M. · 2013 to 2017
$5.2M
NCI NIH HHS U10 CA037429NCI NIH HHS UG1 CA189974NCI NIH HHS UM1 CA182883NIA NIH HHS R01 AG019241
6 · The paper itself

Abstract

backgroundSubjective memory complaints (SMCs) are associated with increased risk of dementia in older adults, but the role of comorbidities in modifying this risk is unknown.

objectivesTo assess whether comorbidities modify estimated dementia risk based on SMCs.

designThe Prevention of Alzheimer's Disease with Vitamin E and Selenium Study (PREADVISE) was designed as an ancillary study to the Selenium and Vitamin E Cancer Prevention Trial (SELECT), a randomized, multi-center prostate cancer prevention trial with sites in the Unites States, Puerto Rico, and Canada. In 2009, PREADVISE and SELECT were changed into cohort studies.

settingSecondary analysis of PREADVISE data.

participantsPREADVISE recruited 7,540 non-demented male volunteers from participating SELECT sites from 2002 to 2009. SMCs, demographics, and comorbidities including hypertension, diabetes, coronary artery bypass graft (CABG), stroke, sleep apnea, and head injury were ascertained by participant interview. MEASUREMENTS: Cox models were used to investigate whether baseline comorbidities modified hazard ratios (HR) for SMC-associated dementia risk using two methods: (1) we included one interaction term between SMC and a comorbidity in the model at a time, and (2) we included all two-way interactions between SMC and covariates of interest and reduced the model by "backward" selection. SMC was operationalized as any complaint vs. no complaint.

resultsBaseline SMCs were common (23.6%). In the first analyses, with the exception of stroke, presence of self-reported comorbidities was associated with lower estimated HR for dementia based on SMC status (complaint vs. no complaint), but this difference was only significant for diabetes. In the second analysis, the two-way interactions between SMC and race as well as SMC and diabetes were significant. Here, black men without diabetes who reported SMC had the highest estimated dementia risk (HR=5.05, 95% CI 2.55-10.00), while non-black men with diabetes who reported SMC had the lowest estimated risk (HR=0.71, 95% CI 0.35-1.41).

conclusionsSMCs were more common among men with comorbidities, but these complaints appeared to be less predictive of dementia risk than those originating from men without comorbidities, suggesting that medical conditions such as diabetes may explain SMCs that are unrelated to an underlying neurodegenerative process.

Indexed as

Alzheimer’s diseasecomorbiditiesdementiaeffect measure modificationSubjective memory complaints (SMCs)

Identifiers

PMID28944218
PMCPMC5607951
OpenAlexW2980534681

What OpenQuestion holds

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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.