Minimally invasive surgery and abdominal radical hysterectomy in patients with early‐stage cervical cancer: A meta‐analysis
Bibliographic record
Abstract
OBJECTIVE: To compare risk of recurrence and death related to minimally invasive surgery (MIS) and abdominal radical hysterectomy (ARH) in early-stage cervical cancer (CC) patients. METHODS: All relevant literatures in databases were retrieved from the built time of databases to October 2020. Observational studies comparing MIS and ARH in early-stage CC patients were involved. Newcastle-Ottawa Scale was used for quality assessment, including studies with a score of at least 6. Main outcomes involved overall survival (OS) and disease-free survival (DFS). RESULTS: Twenty-two studies were involved, including 14 894 patients, among which 7213 (48.6%) underwent MIS. The OS (hazard ratio [HR] 1.23, 95% confidence interval [CI] 1.03-1.43) and DFS (HR 1.25, 95% CI 1.07-1.42) of patients undergoing MIS was obviously shortened compared with those of patients undergoing ARH. Subgroup analysis revealed that OS (HR 1.42, 95% CI 1.10-1.74) and DFS (HR 1.46, 95% CI 1.18-1.74) of patients with a tumor ≥2 cm in diameter were significantly reduced by MIS. CONCLUSION: Overall survival and DFS after MIS for early-stage CC treatment were worse than those after ARH, especially for patients with a tumor ≥2 cm in diameter.
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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 | 0.006 | 0.012 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.008 | 0.032 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".