Uniportal versus multiportal video-assisted thoracoscopic surgery in the treatment of lung cancer: a Canadian single-centre retrospective study
Bibliographic record
Abstract
Background: Observational studies comparing uniportal and multiportal video-assisted thoracoscopic surgery (VATS) in the treatment of lung cancer have produced conflicting results. We present a Canadian study comparing clinical outcomes of uniportal and multiportal VATS in the treatment of lung cancer. Methods: A retrospective study evaluating patients who underwent multiportal (2012–2014) or uniportal (2014–2016) VATS lobectomies, segmentectomies and wedge resections for lung cancer. Clinical outcomes measured included patient demographics, tumour factors, operative factors, length of hospital stay, postoperative complications, analgesic use, pain scores and mortality. Descriptive statistics were used to compare the 2 groups. Results: Of 185 patients, 65 underwent uniportal and 63 underwent multiportal VATS resection. Patients were similar in terms of their baseline demographics, comorbidies and cancer characteristics. Median operative time was 184 and 185 minutes in the uniportal and multiportal groups, respectively. There were 5 conversions to thoracotomy in the uniportal group and 1 in the multiportal group. Similar lymph node retrieval (median 7 v. 5 nodes) and positive margin rates (6.2% v. 4.8%) were seen in the 2 groups. Median length of stay was 2 days (interquartile range [IQR] 1–3) and 3 days (IQR 2–4) in the uniportal and multiportal groups, respectively. Rates of postoperative complications were similar in the 2 groups (16.9% v. 19.0%, p = 0.76). Patient-controlled analgesia use and pain scores did not differ between the groups. Conclusion: Adoption of uniportal VATS appears to be feasible and safe, without compromising oncologic principles or increasing intraoperative resource utilization. Larger, prospective studies can help confirm these findings.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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".