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Record W4390191629 · doi:10.1002/alz.082663

Early metformin initiation was not associated with incident dementia: a population‐based cohort study

2023· article· en· W4390191629 on OpenAlexaffabout
Che‐Yuan Wu, Christa Wang, Refik Saskin, Walter Swardfager

Bibliographic record

VenueAlzheimer s & Dementia · 2023
Typearticle
Languageen
FieldMedicine
TopicDiabetes Treatment and Management
Canadian institutionsToronto Rehabilitation InstituteSunnybrook HospitalUniversity of Toronto
Fundersnot available
KeywordsMedicineMetforminType 2 diabetesDementiaCohortDiabetes mellitusHazard ratioInternal medicinePopulationCohort studyConfoundingRetrospective cohort studyDiseaseEndocrinologyEnvironmental healthConfidence interval

Abstract

fetched live from OpenAlex

Abstract Background Metformin is the first‐line pharmacotherapy for type 2 diabetes. Although metformin was previously suggested to prevent dementia, most existing epidemiologic studies did not adequately address immortal time bias or confounding due to disease severity. We aim to determine the association of metformin with dementia risk using various bias mitigation strategies. Method This population‐based retrospective cohort study utilized data housed at ICES (https://www.ices.on.ca/). Using a validated algorithm for diabetes (Specificity = 99.1%, PPV = 91.4%), residents of Ontario, Canada ≥66 years newly diagnosed with diabetes from January 1, 2008 to December 31, 2017 entered the cohort. We excluded potential type 1 diabetes or advanced diabetes cases by excluding people with insulin as the first received glucose‐lowering medication. To select people at an early disease stage who could either initiate metformin or start lifestyle interventions alone, we excluded people with hemoglobin A1c <6.5% or ≥8.0% or estimated glomerular filtration rate (eGFR) <45 mL/min/1.73m2. Using a landmark analysis to address immortal time bias, the exposure was classified into “metformin monotherapy initiation within 180 days after new diabetes diagnosis” or “no glucose‐lowering medications within 180 days”. To mitigate reverse causality, a 1‐year lag period was applied to the end of the 180‐day landmark period, and therefore follow‐up started 1.5 year after cohort entry. Incident dementia was ascertained using a validated algorithm for Alzheimer’s disease and related dementias (Sensitivity = 79.3%, Specificity = 99.1%). Adjusted hazard ratios (aHR) and confidence intervals (CI) were obtained from propensity‐score weighted Cox proportional hazard models. Result Compared to no or delayed metformin initiation (N = 22,369; 1,768 events; 117,414 person‐years), metformin initiation within 180 days (N = 12,331; 978 events; 65,761 person‐years) showed no association (aHR [95% CI] = 1.047 [0.956‐1.147]) with dementia risk over mean follow‐up of 5.28 years. The sensitivity analysis with a 1‐year landmark period also showed no association (aHR [95% CI] = 1.040 [0.942‐1.148]) when comparing metformin initiation within 1 year (N = 13,902; 1,047 events; 68,404 person‐years) to no or delayed initiation (N = 19,078; 1,433 events; 91,917 person‐years). Conclusion Early metformin initiation was not associated with a lower dementia risk. The present study does not support metformin as a drug to prevent dementia.

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)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.082
Threshold uncertainty score0.164

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
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 head0.032
GPT teacher head0.282
Teacher spread0.250 · 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 designObservational
Domainnot available
GenreEmpirical

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

Citations0
Published2023
Admission routes2
Has abstractyes

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