A prospective evaluation of venous thromboembolism in patients undergoing cytoreductive surgery and hyperthermic intraperitoneal chemotherapy.
Bibliographic record
Abstract
BACKGROUND: We sought to investigate the incidence of perioperative venous thromboembolism (VTE)--pulmonary embolism, superior mesenteris vein thrombosis and deep vein thrombosis--in patients with peritoneal carcinomatosis after cytoreductive surgery combined with hyperthermic intraperitoneal chemotherapy. METHODS: We performed cytoreductive surgery and hyperthermic intraperitoneal chemotherapy on 60 consecutive patients with a mean age of 52 (range 24-76) years. We reviewed a prospective database recording complications and patient, tumour and surgical characteristics to determine the incidence of VTE. We reviewed hospital charts of patients with VTE to obtain clinical information including vital signs, risk factors, presence of comorbid conditions, VTE prophylaxis and subjective clinical symptoms. RESULTS: A total of 6 of 60 patients (10%) who had cytoreductive surgery and hyperthermic intraperitoneal chemotherapy experienced VTE. All patients with VTE had extensive peritoneal disease and long durations of surgery: the median duration was 431 (range 330-683) minutes. Tachycardia (mean 104 beats/min) was the only consistent abnormal vital sign recorded, with only 33% of patients experiencing clinical symptoms. CONCLUSION: This prospective study demonstrates a high rate of VTE in this patient population. Unfortunately, clinical signs and symptoms are a poor predictor of VTE. Therefore, routine screening of this specific population at high risk for VTE is 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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".