944-P: HbA1c Change Is Associated with Retinopathy Outcomes during GLP-1RA CVOT Follow-Up
Bibliographic record
Abstract
Long-term glucose control reduces retinopathy risk. We examine the association between HbA1c change and retinopathy in the first year or at final follow-up in GLP-1 RA cardiovascular outcomes trials (CVOTs). A random-effects model meta-analysis included 6 CVOTs reporting retinopathy events, using within-trial event definitions. Univariate meta-regression analyses describe the association between HbA1c change and retinopathy events. Meta-analysis showed no significant effect of GLP-1 RA on retinopathy risk (odds ratio [OR] 1.10; 95% CI 0.93, 1.30), with moderate heterogeneity between studies (I2=52.2%; Q-statistic p-value=0.063). HbA1c change and retinopathy were significantly associated at 1-year (slope=1.40, p-value=0.002) and overall (Figure), with 0.1% HbA1c reduction associated with 15% increased OR in the first year, declining to 8.0% increase over longer follow-up. In these studies of varying duration (1.3 to 5.4 years), GLP-1 RA treatment was not significantly associated with increased retinopathy risk. HbA1c reduction rate is correlated with risk for retinopathy in people with diabetes and additional CV risk factors. Clinicians should consider retinopathy status when initiating any therapy that rapidly lowers HbA1c. Disclosure A. Bethel: Employee; Self; Eli Lilly and Company. R. Diaz: None. N. Castellana: None. H.C. Gerstein: Advisory Panel; Self; Abbott, AstraZeneca, Boehringer Ingelheim (Canada) Ltd., Eli Lilly and Company, Merck & Co., Inc., Novo Nordisk Inc., Sanofi. Consultant; Self; Kowa Pharmaceuticals America, Inc. Research Support; Self; AstraZeneca, Boehringer Ingelheim (Canada) Ltd., Eli Lilly and Company, Merck & Co., Inc., Novo Nordisk Inc., Sanofi. Other Relationship; Self; Boehringer Ingelheim (Canada) Ltd., Eli Lilly and Company, Sanofi. M. Lakshmanan: Employee; Self; Eli Lilly and Company. Stock/Shareholder; Self; Eli Lilly and Company. Stock/Shareholder; Spouse/Partner; Eli Lilly and Company. Funding Eli Lilly and Company
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.029 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.015 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.018 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".