Incidence of venous thromboembolic events following major pelvic and abdominal surgery for cancer.
Bibliographic record
Abstract
478 Background: The recommendation to administer extended-duration (28 days) venous thromboembolic events (VTE) prophylaxis with low molecular weight heparin in patients undergoing abdominal and pelvic surgery for cancer has not been widely implemented mainly because most studies focus on asymptomatic events with unknown clinical significance. The objective of this study was to determine the post-hospital discharge VTE incidence in these patients who do not receive post-hospital discharge prophylaxis. Methods: Prospective cohort study of patients undergoing abdominal and pelvic operations for cancer within the gastrointestinal tract, hepatobiliary (HPB) system or gynecological organs, with surgery lasting > 1 hour, post-operative stay < 28 days, and not undergoing anticoagulant therapy. Patients were evaluated at 1, 3 and 6 months from index operation for the presence of VTE by means of a screening ultrasound at 28 days and a questionnaire at each follow-up. The proportion with 95% confidence interval (CI) of VTE was calculated. Multivariable logistical regression was performed. Results: Of 284 patients, there were 79 (28%) colorectal, 97 (35%) HPB and 100 (35%) gynecology. All patients received pre- and post-operative in-patient prophylaxis. The proportion of VTE at 6 months was 7%, 95% CI 4.4-10.7 (20 events). Most events occurred between 3-6 months, 4.6%, 95% CI 2.46 – 7.7. Only one event occurred at one month after surgery (0.35%, 95% CI 0.06-1.97). 50% of the cohort had screening ultrasound, all of which were negative. Events were evenly distributed according to the type of surgery. The proportion of patients who died was 6.6%, 95% CI 3.5 – 9.4 (17 patients, 2 of which had a VTE-related death). In the multivariable analysis, post-operative chemotherapy was significantly associated with VTE, odds ratio (OR) 2.74, 95% CI 1.07-6.99. Caprini score was also associated with VTE but was not significant when included in the multivariable analysis, OR 1.19, 95% CI 0.99-1.42. Conclusions: Incidence of VTE following abdominal cancer surgery is low. Most events occur between 3-6 months from surgery. Post-operative chemotherapy is significantly associated with post-hospital discharge VTE.
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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 | 0.000 | 0.002 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".