Additional file 2: of Percutaneous closure versus medical therapy for stroke with patent foramen Ovale: a systematic review and meta-analysis
Bibliographic record
Abstract
Figure S1. Flow diagram of study selection. Table S1. Main inclusion and exclusion criteria of included randomized trials. Table S2. Definitions of degree of shunting and atrial septal aneurysm in randomized trials. Table S3. Primary and secondary endpoints of included randomized trials. Table S4. Definitions of composite outcome, major bleeding, recurrent stroke and TIA in randomized trials. Table S5. Risk of bias of included randomized trials. Table S6. Study quality of included comparative observational studies using the Newcastle-Ottawa scale. Figure S2. The composite outcome of recurrent stroke, TIA and all-cause death with device closure versus medical therapy from randomized controlled trials and adjusted observational studies. Table S7. Subgroup analysis of the major outcomes based on study designs, number of patients and duration of follow-up. Table S8. Subgroup analysis of the composite outcome in randomized trials. Table S9. Subgroup analysis of recurrent ischemic stroke in randomized trials. Table S10. Meta-regression analysis in randomized trials exploring the potential for effect modification by multiple variables, including Moderate to severe PFO, atrial septal aneurysm, index event of stroke, and anticoagulation in medical treatment. (DOCX 594 kb)
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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 | 0.060 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.006 |
| Bibliometrics | 0.006 | 0.009 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.760 | 0.027 |
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".