Recurrence Rates in Patients With Cervical Cancer Treated With Abdominal Versus Minimally Invasive Radical Hysterectomy: A Multi-Institutional Retrospective Review Study
Bibliographic record
Abstract
PURPOSE To compare the disease-free survival (DFS) between open and minimally invasive radical hysterectomies (RH) performed in academic medical institutions METHODS Retrospective multi-institutional review of patients undergoing RH for stage IA1 (with lymphovascular invasion), IA2, and IB1 squamous, adenocarcinoma, or adenosquamous carcinoma between January 1, 2010 and December 31, 2017. RESULTS Of 815 patients, open RH was performed in 255 cases (29.1%) and minimally invasive RH in 560 cases (70.9%). There were 19 (7.5%) recurrences in the open RH and 51 (9.1%) recurrences in the minimally invasive group ( P = .43). Risk-adjusted analysis revealed that minimally invasive RH was independently associated with an increased hazard of recurrence (aHR, 1.88; 95% CI, 1.04 to 3.25). Other factors independently associated with an increased hazard of recurrence included tumor size, grade, and adjuvant radiation. Conization before surgery was associated with lower recurrence risk (aHR, 0.4; 95% CI, 0.23 to 0.71). There was no difference in OS in the unadjusted analysis (HR, 1.14; 95% CI, 0.61 to 2.11) or after risk adjustment (aHR, 1.01; 95% CI, 0.5 to 2.2). Of 264 patients with tumors ≤ 2 cm on final pathology (excluding those with no residual tumor on final pathology), 2/82 (2.4%) recurred in the open RH group and 16/182 (8.8%) in the minimally invasive RH group ( P = .058). In propensity score matching analysis, 7/159 (4.4%) recurrences were noted in the open RH group and 18/156 (11.5%) in the minimally invasive RH group ( P = .019). Survival analysis revealed an increased risk of recurrence in the minimally invasive group in propensity-matched cohort (HR, 2.83; 95% CI, 1.1 to 7.18) CONCLUSION In this retrospective series, patients undergoing minimally invasive radical hysterectomy, including those with tumor size ≤ 2 cm on final pathology, had inferior DFS but not overall survival in the entire cohort.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".