Metformin Does Not Affect Clinically Relevant Outcomes in Patients with Idiopathic Pulmonary Fibrosis
Bibliographic record
Abstract
BACKGROUND: Diabetes mellitus is a possible risk factor for the development of idiopathic pulmonary fibrosis (IPF), yet the effect of antidiabetic therapy on the course of IPF is unknown. OBJECTIVES: This post hoc analysis assessed the effect of metformin on clinically relevant outcomes in patients with IPF. METHODS: For the primary analysis, patients randomized to placebo (n = 624) in 3 phase 3, double-blind, controlled trials of pirfenidone (CAPACITY [NCT00287716 and NCT00287729]; ASCEND [NCT01366209]) were categorized by baseline metformin use. The primary outcome was disease progression (forced vital capacity [FVC] decline ≥10%, 6-min walking distance [6MWD] decline ≥50 m, or death). Other outcomes included mortality, hospitalization, FVC decline (≥10 and ≥5%), and 6MWD decline. Outcomes were also assessed in patients with diabetes and/or hyperglycemia (impaired glucose tolerance [IGT] and diabetes population [IGT-diabetes population]) and all patients included in the 3 studies (intention-to-treat [ITT] population). RESULTS: Overall, 71 (11.4%) patients were metformin users and 553 (88.6%) were nonmetformin users. Baseline data were similar between groups, except for a higher percentage of males (84.5 vs. 73.2%) and a history of diabetes (98.6 vs. 11.6%) in metformin users versus nonmetformin users. The unadjusted 1-year analyses demonstrated no significant differences in disease progression or other outcomes. A higher proportion of metformin users compared with nonmetformin users had a relative FVC decline of ≥5% (63.4 vs. 50.6%, p = 0.043). Results were similar for the IGT-diabetes population and for the ITT population. Multivariable analyses yielded similar results. CONCLUSIONS: Metformin has no effect on clinically relevant outcomes in patients with IPF.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".