Outcomes in vascular surgical patients with isolated postoperative troponin leak: a meta‐analysis
Bibliographic record
Abstract
Although peri-operative myocardial infarction remains a significant cause of morbidity and mortality following vascular surgery, the significance of an isolated troponin leak is uncertain. This is an elevation of troponin below the diagnostic threshold for a peri-operative myocardial infarction, without symptoms or ischaemic electrocardiography changes or echocardiography signs such as new regional wall motion abnormalities. This meta-analysis aimed to determine the early (< 30 days) and intermediate (< 180 days) outcomes of vascular surgical patients with an isolated troponin leak. A full literature search up to December 2010 identified 593 studies, of which nine (consisting of eight distinct patient cohorts) underwent analysis. An isolated troponin leak was strongly predictive of all-cause mortality at 30 days (OR 5.03, 95% CI 2.88-8.79, p < 0.00001). The associated 30-day mortality in patients with no troponin elevation, an isolated troponin leak or peri-operative myocardial infarction was 2.3%, 11.6% and 21.6%, respectively (p = 0.000001). Insufficient data were available to analyse intermediate-term outcomes. An isolated troponin leak following vascular surgery is strongly associated with short-term mortality.
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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 | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.009 | 0.020 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 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".