Additional file 1 of Use of extracorporeal membrane oxygenation in adult trauma patients with refractory acute cardiopulmonary failure: guideline from the Chinese society of extracorporeal life support 2025
Bibliographic record
Abstract
Supplementary Material 1. Table S1. Summary of literature retrieval. Table S2. Literature retrieval strategy. Figure S1. Flow diagram of study inclusion. Table S3. Study characteristics. Table S4. Newcastle-Ottawa Quality Assessment Form for Cohort Studies. Table S5. JBI’s tool for assessing case series. Table S6. CASP-case-control-study-checklist. Table S7. Evaluation of the certainty of evidence. Figure S2-30. Subgroup meta-analyses in Domain 1. Figure S31-42. Subgroup meta-analyses in Domain 2. Figure S43-50. Subgroup meta-analyses in Domain 3. Figure S51-52. Subgroup meta-analyses in Domain 4. Table S8. Summary of anticoagulation strategy. Table S9. Statistics of complications. Table S10. Characteristics of the studies on ECMO-related complications. Table S11. Characteristics of the studies on ECMO-related complications in adult trauma patients with or without TBI. Table S12. Evidence to Decision Framework
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.045 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.004 | 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) | 0.833 | 0.101 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".