A comparison of postoperative outcomes between robotic-assisted and laparoscopic-assisted total gastrectomy: a comprehensive meta-analysis and systematic review
Bibliographic record
Abstract
BACKGROUND: The application of robot-assisted technology in gastric cancer surgery is gradually gaining attention from surgeons. In this meta-analysis, our main objective was to assess whether robot-assisted techniques are more advantageous than laparoscopic-assisted technology in total gastrectomy. METHODS: We searched Pubmed, Embase, Web of Science, and Cochrane Library databases for clinical studies published before October 2023 comparing robotic-assisted total gastrectomy (RATG) and laparoscopic-assisted total gastrectomy (LATG) for gastric cancer. Non-clinical studies, data unavailability, or fewer than 50 included cases were excluded. The Newcastle-Ottawa Scale was used to assess the risk of bias by determining the quality of the observational studies. Statistical meta-analysis and drawing were performed using the Software Review Manager version 5.3 and Stata version 16.0. P < 0.05 was considered significant. RESULTS: Nine studies that included 1,864 patients with gastric cancer were included, published between 2012 and 2023. The results of the analysis showed that RATG has advantages in the following aspects: intraoperative blood loss was 17.69 ml lower in the RATG group than in the LATG group (WMD: -17.69,95% CI:-20.90 ∼ -14.49; P < 0.05); In terms of the number of resected lymph nodes, the RATG group had 2.65 more than the LATG group (WMD: 2.65,95% CI:0.88 ∼ -4.42); P < 0.05); the time to start liquid and postoperative hospital stays were 0.62 and 0.90 days shorter in the RATG group than in the LATG group, respectively (WMD: -0.62,95%CI: -1.06 ∼ -0.19; P < 0.05), (WMD: -0.90,95%CI: -1.43 ∼ -0.37; P < 0.05)); the incidence of major complications and pancreas fistula in the RATG group was 0.59% and 0.17% lower than in the LATG group, respectively (OR: 0.59,95% CI: 0.38 ∼ 0.93; P < 0.05), (OR: 0.17,95% CI: 0.03 ∼ 0.94; P < 0.05). However, the analysis showed that the operative time in the RATG group was 30.96 min longer than in the LATG group (WMD: 30.96,95% CI: 21.24 ∼ 40.69; P < 0.05). CONCLUSIONS: Based on the results of this meta-analysis, we concluded that robotic-assisted technology may be a worthwhile technique to apply in the surgical treatment of total gastrectomy. However, this meta-analysis has the limitations that the included studies were all non-randomized controlled trials and published in Asian countries, and more high-quality randomized controlled trials are needed for further validation in the future. THE REGISTERED NAME AND REGISTRATION NUMBER: The study protocol for this meta-analysis is registered on the PROSPERO website under registration number CRD42024500512.
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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 | 0.013 | 0.034 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.017 | 0.039 |
| Bibliometrics | 0.008 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| 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".