Robotic gastrectomy with transvaginal specimen extraction for female gastric cancer patients
Bibliographic record
Abstract
AIM: To describe the application of complete robotic gastrectomy with transvaginal specimen extraction (TVSE) for gastric cancer patients. METHODS: Between July and November 2014, eight female patients who were diagnosed with gastric adenocarcinoma underwent a TVSE following a full robot-sewn gastrectomy. According to the tumor location, the patients were allocated to two different groups; two patients received robotic total gastrectomy with TVSE and the other six received robotic distal gastrectomy with TVSE. RESULTS: Surgical procedures were successfully performed in all eight cases without conversion. The mean age was 55.3 (range, 42-69) years, and the mean body mass index was 23.2 (range, 21.6-26.0) kg/m(2). The mean total operative time and blood loss were 224 (range, 200-298) min and 62.5 (range, 50-150) mL, respectively. The mean postoperative hospital stay was 3.6 (range, 3-5) d. The mean number of lymph nodes resected was 23.6 (range, 17-27). None was readmitted within 30 d of postoperation. During the follow-up, no stricture developed nor was any anastomotic leakage detected. CONCLUSION: It is possible to perform a TVSE following a full robot-sewn gastrectomy with standard D2 lymph node resection for female gastric cancer patients.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.001 | 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".