Venous thromboembolism in emergency general surgery patients: a single-centre retrospective cohort study
Bibliographic record
Abstract
Background: There is limited literature on the risk of venous thromboembolism (VTE) in emergency general surgery (EGS) patients. We undertook this study to identify the rate of symptomatic VTE for patients undergoing EGS operations. Methods: We conducted a retrospective cohort study evaluating EGS patients who underwent operative intervention between March and December 2014. Data collected included patient demographics, type of procedure, risk of VTE, VTE prophylaxis, development of symptomatic VTE, and mortality. Results: We included 767 patients in our analysis. The mean age was 53 ± 19.7 years, and 52.2% of patients were female. Eighteen patients (2.3%) experienced VTE in hospital and 12 (1.6%) experienced VTE after discharge. Only 66% of patients received appropriate VTE prophylaxis. High-risk patients had a higher VTE rate (7.4% v. 2.3%, p < 0.001) and higher mortality (17.6% v. 4.0%, p < 0.001) than lowto moderate-risk patients. Conclusion: The risk of VTE in patients requiring EGS is significant and persists after hospital discharge. Further studies on quality improvement with VTE prophylaxis are warranted.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".