MétaCan
Menu
Back to cohort
Record W1757841311 · doi:10.3233/jad-140954

Midlife Vascular Risk Factors and the Risk of Alzheimer's Disease: A Systematic Review and Meta-Analysis

2014· review· en· W1757841311 on OpenAlexfundno aff
Xiangfei Meng, Jin‐Tai Yu, Hui-Fu Wang, Meng‐Shan Tan, Chong Wang, Chen‐Chen Tan, Lan Tan

Bibliographic record

VenueJournal of Alzheimer s Disease · 2014
Typereview
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsnot available
FundersNatural Science Foundation of Shandong ProvinceNational Natural Science Foundation of ChinaAGE-WELL
KeywordsMeta-analysisDiseaseSystematic reviewMedicineAlzheimer's diseaseInternal medicineMEDLINEBiology

Abstract

fetched live from OpenAlex

BACKGROUND/OBJECTIVE: We examine whether midlife vascular risk factors (VRFs) are associated with increased risk of incident Alzheimer's disease (AD) in a systematic review and meta-analysis of published cohort studies. METHODS: Original cohort studies were included if they reported adjusted combined odds ratio (COR) and corresponding 95% confidence intervals (CIs) or enough information to quantify the association between risk for AD in late-life and baseline VRFs of midlife. RESULTS: There were positive and significant associations between high blood pressure (COR 1.31; 95% CI: 1.01-1.70), hypercholesterolemia (COR 1.72; 95% CI: 1.32-2.24), obesity (COR 1.88; 95% CI: 1.32-2.69), and diabetes mellitus in midlife (COR 1.4; 95% CI: 1.25-1.57). Smoking and hyperhomocysteinemia (although only one high-quality paper) were also associated with an increased risk of AD generally. CONCLUSIONS: These results strengthen the epidemiological evidence that VRFs of midlife significantly increase risk for AD.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.009
metaresearch head score (Gemma)0.024
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.013
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.024
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0130.021
Bibliometrics0.0060.007
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.063
GPT teacher head0.366
Teacher spread0.303 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations144
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Alzheimer s DiseaseSame topicDementia and Cognitive Impairment ResearchFrench-language works237,207