Sodium-glucose cotransporter-2 inhibitors and the risk of lung cancer among patients with type 2 diabetes: a retrospective cohort study
Bibliographic record
Abstract
Abstract Objective To determine whether the use of sodium-glucose cotransporter 2 (SGLT-2) inhibitors, compared to dipeptidyl peptidase 4 (DPP-4) inhibitors, is associated with a decreased risk of incident lung cancers among patients with type 2 diabetes. Methods We assembled a new-user, active comparator cohort of SGLT-2 inhibitor and DPP-4 inhibitor users using the United Kingdom Clinical Practice Research Datalink. We fit Cox proportional hazards models with propensity score fine stratification weighting to estimate hazard ratios (HRs) with 95% confidence intervals (CI) for incident lung cancers. Results Crude lung cancer incidence rates were 0.92 and 1.37 per 1,000 person-years among 47,517 SGLT-2 inhibitor and 129,807 DPP-4 inhibitor users, respectively. No reduced risk of lung cancer was observed among SGLT-2 inhibitor users after weighting (HR 1.08, 95% CI 0.78–1.48). Conclusions: In this large cohort study, the use of SGLT-2 inhibitors was not associated with a decreased risk of lung cancer.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".