No association between metformin initiation and incident dementia in older adults newly diagnosed with diabetes
Bibliographic record
Abstract
Abstract Background Metformin has been suggested to reduce dementia risk; however, most epidemiologic studies have been limited by immortal time bias or confounding due to disease severity. Objectives To investigate the association of metformin initiation with incident dementia using strategies that mitigate these important sources of bias. Methods Residents of Ontario, Canada ≥66 years newly diagnosed with diabetes from January 1, 2008 to December 31, 2017 entered this retrospective population‐based cohort. To consider the indication for metformin monotherapy initiation, people with hemoglobin A1c of 6.5%–8.0% and estimated glomerular filtration rate ≥45 mL/min/1.73 m 2 were selected. Using the landmark method to address immortal time bias, exposure was grouped into “metformin monotherapy initiation within 180 days after new diabetes diagnosis” or “no glucose‐lowering medications within 180 days.” To address disease latency, 1‐year lag time was applied to the end of the 180‐day landmark period. Incident dementia was defined using a validated algorithm for Alzheimer's disease and related dementias. Adjusted hazard ratios (aHR) and confidence intervals (CIs) were estimated from propensity‐score weighted Cox proportional hazard models. Results Over mean follow‐up of 6.77 years from cohort entry, metformin initiation within 180 days after new diabetes diagnosis ( N = 12,331; 978 events; 65,762 person‐years) showed no association with dementia risk (aHR [95% CI] = 1.05 [0.96–1.15]), compared to delayed or no glucose‐lowering medication initiation ( N = 22,369; 1768 events; 117,415 person‐years). Conclusion Early metformin initiation was not associated with incident dementia in older adults newly diagnosed with diabetes. The utility of metformin to prevent dementia was not supported.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".