Comparison of Up-Front Minimally Invasive Esophagectomy versus Open Esophagectomy on Quality of Life for Esophageal Squamous Cell Cancer
Bibliographic record
Abstract
This study investigates whether minimally invasive esophagectomy (MIE) is a safe and effective way for patients with resectable esophageal cancer by comparing the short-term quality of life (QOL) after minimally invasive esophagectomy and open esophagectomy (OE). A total number of 104 patients who underwent esophagectomy from January 2013 to March 2014 were enrolled in this study. These patients were divided into two groups (MIE and OE group). Three scoring scales of quality of life were used to evaluate QOL before the operation and at the first, third, sixth and twelfth months after MIE or OE, which consist of Karnofshy performance scale (KPS), the European Organization for Research and Treatment questionnaire QLQC-30 (EORTC QLQC-30) and esophageal cancer supplement scale (OES-18). The MIE group was higher than the OE group in one-year survival rate (92.54% vs. 72.00%). Significant differences between the two groups were observed in intraoperative bleeding volume (158.53 ± 91.07 mL vs. 228.97 ± 109.33 mL, p = 0.001), and the incidence of postoperative pneumonia (33.33% vs. 58.62%, p = 0.018). The KPS of MIE group was significantly higher than the OE group at the first (80 vs. 70, p = 0.004 < 0.05), third (90 vs. 80, p = 0.006 < 0.05), sixth (90 vs. 80, p = 0.007 < 0.05) and twelfth months (90 vs. 80, p = 0.004 < 0.05) after surgery. The QLQC-30 score of MIE group was better than OE group at first and twelfth months after the operation. The OES-18 score of MIE group was significantly better than OE group at first, sixth and twelfth months after surgery. The short-term quality of life in MIE group was better than OE group.
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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 | 0.001 |
| 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".