Additional file 1 of Association of adverse respiratory events with sodium-glucose cotransporter 2 inhibitors versus dipeptidyl peptidase 4 inhibitors among patients with type 2 diabetes in South Korea: a nationwide cohort study
Bibliographic record
Abstract
Additional file 1: Table S1. Codes used in cohort selection and outcome definitions. Table S2. Covariates included in PS model. Table S3. Association between SGLT2is and risk of in-hospital death. Table S4. Association between individual SGLT2is and risk of respiratory events. Table S5. Age-stratified analysis for the association between SGLT2is and risk of respiratory events. Table S6. Sex-stratified analysis for the association between SGLT2is and risk of respiratory events. Table S7. Stratified analysis on asthma history for the association between SGLT2is and risk of respiratory events. Table S8. Stratified analysis on COPD history for the association between SGLT2is and risk of respiratory events. Table S9. Stratified analysis on CVD history for the association between SGLT2is and risk of respiratory events. Table S10. Stratified analysis on heart failure history for the association between SGLT2is and risk of respiratory events. Table S11. Stratified analysis on CKD history for the association between SGLT2is and risk of respiratory events. Table S12. Association between SGLT2is and risk of respiratory events, stratified on follow-up duration. Table S13. Sensitivity analysis using an intention-to-treat definition. Table S14. Sensitivity analysis that treated in-hospital death as a competing event. Table S15. Association between SGLT2is versus DPP4is and risk of negative and positive control outcomes. Table S16. Sensitivity analysis that excluded patients with a history of insulin use alone. Table S17. Sensitivity analysis that varied the grace period duration. Table S18. Sensitivity analysis that used diagnosis codes recorded in the primary position. Table S19. Sensitivity analysis that extended the baseline period. Table S20. Sensitivity analysis that shortened the end of the study period. Table S21. Association between SGLT2is used as monotherapy and risk of respiratory events. Table S22. Association between SGLT2is added on to metformin and risk of respiratory events. Table S23. Association between SGLT2is and risk of pneumonia, according to its etiology. Table S24. Reasons for censoring in the as-treated analysis.
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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 | 0.002 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.673 | 0.039 |
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".