A Protocol for a Systematic Review and Meta-Analysis of Hospital Readmissions Following Acute Upper Gastrointestinal Bleeding
Bibliographic record
Abstract
This protocol outlines the planned methodology for a systematic review and meta-analysis. The primary objective of the review is to identify all-cause readmission rates for individuals hospitalized for an upper GI bleed (UGIB). Secondary objectives will include GI bleed-specific readmission rates, mortality (all-cause and GI bleed-specific), readmission diagnosis, and length of stay on readmission visit. High-risk subgroups will also be explored including age, sex, type of GI bleed (e.g., variceal or not), anti-coagulation status, and comorbidity status. Through this review, the research team aims to describe an important quality indicator, which has implications for both patient safety post-discharge after an UGIB and healthcare resource utilization.
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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 | 0.081 | 0.163 |
| Meta-epidemiology (narrow) | 0.004 | 0.005 |
| Meta-epidemiology (broad) | 0.008 | 0.016 |
| Bibliometrics | 0.011 | 0.012 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.004 | 0.005 |
| Research integrity | 0.006 | 0.008 |
| Insufficient payload (model declined to judge) | 0.192 | 0.025 |
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".