Post‐operative survival in head and neck cancer patients with elevated troponins
Bibliographic record
Abstract
OBJECTIVES: The strenuous demands of head and neck cancer surgery (HNS) place patients at increased risk of myocardial injury. Troponin positivity (TP) post-operatively is a predictor of increased complications and mortality. The present study is the first to investigate the effects of TP on potential delays in adjuvant treatment and disease-specific survival. DESIGN, SETTING, PARTICIPANTS AND MAIN OUTCOME MEASURES: All patients undergoing HNS from 2014 to 2016 had troponins measured at a single academic centre. Relevant patient data was extracted on retrospective chart review. The main outcome measures were the impact of TP on timing of adjuvant treatment and disease-specific survival. RESULTS: Of 166 patients, 26 (15.6%) developed TP post-operatively. There was no significant difference between cohorts for baseline characteristics except for age. Overall and disease-specific survival for TP patients were respectively 45.9% and 57.4% at 3 years. There was no significant difference between cohorts for overall and disease-specific survival, and time to adjuvant therapy. CONCLUSION: No significant association was found between TP and overall and disease-specific survival, and time to adjuvant therapy.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".