Outcomes of medial to lateral vs. lateral to medial approaches in laparoscopic colorectal cancer resections
Bibliographic record
Abstract
Introduction: Bowel cancer is a significant global health concern, ranking as the third most prevalent cancer worldwide. Laparoscopic resections have become a standard treatment modality for resectable colorectal cancer. This study aimed to compare the clinical and oncological outcomes of medial to lateral (ML) vs lateral to medial (LM) approaches in laparoscopic colorectal cancer resections. Methods: A retrospective cohort study was conducted at a UK district general hospital from 2015 to 2019, including 402 patients meeting specific criteria. Demographic, clinical, operative, postoperative, and oncological data were collected. Participants were categorised into LM and ML groups. The primary outcome was 30-day complications, and secondary outcomes included operative duration, length of stay, lymph node harvest, and 3-year survival. Results: A total of 402 patients (55.7% males) were included: 102 (51.6% females) in the lateral mobilisation (LM) group and 280 (58.9% males) in the medial mobilisation (ML) group. Right hemicolectomy ( n =157, 39.1%) and anterior resection ( n =150, 37.3%) were the most performed procedures. The LM group had a shorter operative time for right hemicolectomy (median 165 vs. 225 min, P <0.001) and anterior resection (median 230 vs. 300 min, P <0.001). There was no significant difference between the two groups in terms of wound infection ( P =0.443), anastomotic leak ( P =0.981), postoperative ileus ( P =0.596), length of stay ( P =0.446), lymph node yield ( P =0.848) or 3-year overall survival rate (Log-rank 0.759). Discussion: The study contributes to the limited evidence on ML vs LM approaches. A shorter operative time in the LM group was noted in this study, contrary to some literature. Postoperative outcomes were comparable, with a non-significant increase in postoperative ileus in the LM group. The study emphasises the safety and feasibility of both approaches.
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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 | 0.001 |
| 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".