Outcomes of minimal access cytoreductive surgery (M-CRS) and HIPEC/EPIC vs. open cytoreductive surgery (O-CRS) and HIPEC/EPIC in patients with peritoneal surface malignancies: a meta-analysis
Bibliographic record
Abstract
Introduction: Minimal Access Surgery (MAS) has shown better peri-operative outcomes with equivalent oncological outcomes in gastrointestinal and thoracic oncology. Open CRS (O-CRS) procedure accompanies inevitable and significant surgical morbidity in patients. The aim of the review article is to compare outcomes of M-CRS and HIPEC/EPIC with open procedure in peritoneal surface malignancies. Content: Comprehensive search of databases was done and total 2,807 articles were found (2793-PubMed and 14-Cochrane review). PRISMA flow chart was prepared and 14 articles were selected. Meta-analysis was performed according to PRISMA guidelines using random-effects model (DerSimonian Laird) and fixed effect model. Publication bias was tested with Funnel plot and Egger's regression test. Quality of studies was assessed by Newcastle-Ottawa scale. Summary and Outlook: Patients in both groups [total (732), M-CRS(319), O-CRS(413)] were similar in demographic characteristics. Peri-operative outcomes were significantly better in M-CRS group in terms of blood loss SMD=-2.379, p<0.001 (95 % CI -2.952 to -1.805), blood transfusion RR=0.598, p=0.011 (95 % CI 0.402 to 0.889), bowel recovery SMD=-0.843, p=0.01 (95 % CI -1.487 to -0.2), hospital stay SMD=-2.348, p<0.001 (95 % CI -3.178 to -1.519) and total morbidity RR=0.538, p<0.001 (95 % CI 0.395 to 0.731). Duration of surgery SMD=-0.0643 (95 % CI -0.993 to 0.865, p=0.892) and CC0 score RR=1.064 (95 % CI 0.992 to 1.140, p=0.083) had no significant difference. Limited studies which evaluated survival showed similar outcomes. This meta-analysis shows that M-CRS and HIPEC/EPIC is feasible and has better peri-operative outcomes compared to open procedure in patients with limited peritoneal carcinoma index (PCI) peritoneal surface malignancies. Survival outcomes were not calculated. Further studies are warranted in this regard.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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".