Natriuretic peptides and troponins in pulmonary embolism: a meta-analysis
Bibliographic record
Abstract
BACKGROUND: The role of biomarkers such as B-type natriuretic peptides (BNP and NT-proBNP) and troponins in risk stratification of acute pulmonary embolism (APE) is still debated. A meta-analysis was performed to assess the association between raised natriuretic peptide levels, alone or in conjunction with troponins, and all-cause and APE-related mortality, serious adverse events and echographic right ventricular dysfunction. METHODS: MEDLINE and EMBASE databases were searched and conference abstracts were hand searched up to February 2008. Studies were included if a 2x2 table could be constructed based on natriuretic peptide results and at least one of the outcomes. RESULTS: Twenty-three studies were included (1127 patients). Raised natriuretic peptide levels were significantly associated with all-cause mortality (odds ratio (OR) 6.2; 95% confidence interval (CI) 3.0 to 12.7), APE-related mortality (OR 5.0; 95% CI 2.2 to 11.5) and serious adverse events (OR 6.7; 95% CI 3.9 to 11.6), with homogeneity across studies. Among patients with raised natriuretic peptide levels, increased serum troponins were associated with a further increase in the risk of adverse outcomes. Analysis of the accuracy of natriuretic peptides in detecting right ventricular dysfunction was limited by heterogeneity across studies. BNP appeared to have better sensitivity and specificity than NT-proBNP in detecting right ventricular dysfunction. CONCLUSIONS: Raised levels of B-type natriuretic peptides identified a subset of patients with APE at higher risk of adverse outcomes. Among patients with raised natriuretic peptide levels, increased troponins were found to be an independent prognostic marker. The results of this meta-analysis may have important clinical implications in the management of APE.
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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 | 0.013 | 0.024 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.013 | 0.046 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".