Additional file 1 of Impact of the COVID-19 pandemic on the epidemiology of out-of-hospital cardiac arrest: a systematic review and meta-analysis
Bibliographic record
Abstract
Additional file 1: Appendix I. Expanded Methods. Table S1. Newcastle-Ottawa Scale (NOS) for Risk of Bias Assessment of Studies Included in the Meta-Analysis. Table S2. Summary of Primary and Secondary Outcomes. Table S3. Characteristics of Patients with Out-of-Hospital Cardiac Arrest in the Pre-COVID-19 and COVID-19 Time Periods in the Included Studies. Figure S1. Funnel Plots based on (A) Mortality and (B) Return of Spontaneous Circulation. Figure S2. Influential Diagnostic Plot for Mortality. Figure S3. Baujat Plot for Mortality. Figure S4. Leave-One-Out Analysis For Mortality. Figure S5. Influential Diagnostic Plot for Termination of Resuscitation in the Field. Figure S6. Baujat Plot for Termination of Resuscitation in the Field. Figure S7. Leave-One-Out Analysis for Termination of Resuscitation in the Field. Figure S8. Influential Diagnostic Plot for Return of Spontaneous Circulation. Figure S9. Baujat Plot for Return of Spontaneous Circulation. Figure S10. Leave-One-Out Analysis for Return of Spontaneous Circulation. Figure S11. Influential Diagnostic Plot for Survival to Hospital Admission. Figure S12. Baujat Plot for Survival to Hospital Admission. Figure S13. Leave-One-Out Analysis for Survival to Hospital Admission. Figure S14. Influential Diagnostic Plot for Survival to Hospital Discharge. Figure S15. Baujat Plot for Survival to Hospital Discharge. Figure S16. Leave-One-Out Analysis for Survival to Hospital Discharge. Figure S17. Influential Diagnostic Plot for Shockable Rhythm. Figure S18. Baujat Plot for Shockable Rhythm. Figure S19. Leave-One-Out Analysis for Shockable Rhythm. Figure S20. Influential Diagnostic Plot for Medical Etiology of Out-of-Hospital Cardiac Arrest. Figure S21. Baujat Plot for Medical Etiology of Out-of-Hospital Cardiac Arrest. Figure S22. Leave-One-Out Analysis for Medical Etiology of Out-of-Hospital Cardiac Arrest. Figure S23. Influential Diagnostic Plot for Traumatic Etiology of Out-of-Hospital Cardiac Arrest. Figure S24. Baujat Plot for Traumatic Etiology of Out-of-Hospital Cardiac Arrest. Figure S25. Leave-One-Out Analysis for Traumatic Etiology of Out-of-Hospital Cardiac Arrest. Data S1. PRISMA-P 2020 Checklist.
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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 | 0.005 | 0.071 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.005 |
| Bibliometrics | 0.005 | 0.008 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.781 | 0.036 |
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".