Feasibility analysis for the development of a video-assisted thoracoscopic (VATS) lobectomy 23-hour recovery pathway
Bibliographic record
Abstract
Background: Video-assisted thoracoscopic (VATS) lobectomy has been demonstrated to offer several benefits over open surgery. The purpose of this study was to assess the feasibility and safety of an ultra-fast-track 23-hour recovery pathway for VATS lobectomy. Methods: A prospectively maintained institutional database was queried for patients who underwent VATS lobectomy from 2006 to 2016 at the McGill University Health Centre in Montreal, Quebec, and data were supplemented with focused chart review. Patients discharged with a length of stay (LOS) of 23 hours or less were compared with those with an LOS of 2 days or more. Logistic regression was performed to identify predictors of LOS of 23 hours or less. Results: Two hundred and five patients were included in the study. Perioperative 30-day mortality for our cohort was 0% and the major complication rate was 8.3%. The median LOS was 3 days (interquartile range [IQR] 2-4 d). Thirty-four patients were discharged within 23 hours and none of them required readmission; 171 patients were discharged on postoperative day 2 or later and 9 of them (5.3%) required readmission (p = 0.36). The proportion of patients discharged within 23 hours increased in 2016 compared with previous years (25.8% v. 12.0%, p = 0.05). Patients discharged within 23 hours had shorter chest tube duration (odds ratio [OR] 0.20, 95% confidence interval [CI] 0.09-0.46, p < 0.001), lower clinical stage disease (stages II-III v. stage I OR 0.07, 95% CI 0.01-0.52, p = 0.011), lower pathologic stage lesions (stages II-III v. stage I OR 0.26, 95% CI 0.07-0.91, p = 0.035), fewer surgical complications (OR 0.04, 95% CI 0.01-0.30, p = 0.002) and shorter operative time (surgery duration > 120 min OR 0.42, 95% CI 0.18-0.95, p = 0.04). Our exploratory prediction modelling showed that chest tube duration, clinical stage and surgeon were the most influential predictors of discharge within 23 hours. Conclusion: The only preoperative factors that predicted shorter LOS in our cohort were clinical stage and surgeon. A significant proportion of patients can be discharged safely by adopting a VATS lobectomy 23-hour enhanced recovery pathway.
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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 | 0.006 | 0.028 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".