Laparoscopic versus open resection for gastric gastrointestinal stromal tumors: an updated systematic review and meta-analysis
Bibliographic record
Abstract
BACKGROUND: In past decades, laparoscopic surgery has been introduced for the treatment of gastrointestinal stromal tumors (GISTs). Recently, additional studies comparing laparoscopic versus open surgery for gastric GISTs have been published, and an updated meta-analysis of this subject is necessary. METHODS: A systematic search was conducted in PubMed, Embase, Cochrane Library, and Web of Science. Comparative studies of laparoscopic and open surgery for gastric GISTs published before June 2014 were identified from databases. The Newcastle-Ottawa Quality Assessment Scale was used to perform quality assessment and original data were extracted. The statistical software STATA (version 12.0) was used for the meta-analysis. RESULTS: Finally, 22 studies, including a total of 1,166 cases, meet the inclusion criteria for meta-analysis. The operation time was similar between laparoscopic and open surgery. Compared to open surgery, laparoscopic resection was associated withless blood loss (WMD = -58.91 ml; 95% CI, -84.60 to -33.22 ml; P <0.01); earlier time to flatus (WMD = -1.31 d; 95% CI, -1.56 to -1.06, P <0.01) and oral diet (WMD = -1.75 d; 95% CI, -2.12 to -1.39; P <0.01); shorter hospital stay (WMD = -3.68 d; 95% CI, -4.47 to -2.88; P <0.01); and decreased overall complications (relative risk = 0.57; 95% CI, 0.37 to 0.89; P = 0.01). For long-term outcomes, there were no significant differences between two surgical procedures on recurrence. CONCLUSION: Laparoscopic surgery for gastric GISTs is acceptable for selective patients with better short-term outcomes compared with open surgery. The long-term survival situation of patients mainly depends on the nature of tumor itself, and laparoscopic surgery was not associated with worse oncological outcomes.
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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 | 0.014 | 0.032 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.019 | 0.043 |
| Bibliometrics | 0.009 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| 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".