LACC Trial: Final Analysis on Overall Survival Comparing Open Versus Minimally Invasive Radical Hysterectomy for Early-Stage Cervical Cancer
Bibliographic record
Abstract
Clinical trials frequently include multiple end points that mature at different times. The initial report, typically based on the primary end point, may be published when key planned co-primary or secondary analyses are not yet available. Clinical Trial Updates provide an opportunity to disseminate additional results from studies, published in JCO or elsewhere, for which the primary end point has already been reported. The aim of this study was to compare overall survival between open and minimally invasive radical hysterectomy with participants followed for 4.5 years. The primary objective was to evaluate whether minimally invasive surgery was noninferior in disease-free survival (DFS) to abdominal radical hysterectomy. Secondary outcomes included overall survival. Sample size was based on DFS of 90% at 4.5 years and 7.2% noninferiority margin for minimally invasive surgery. A total of 631 patients were enrolled: 319 assigned to minimally invasive and 312 to open surgery. Of these, 289 (90.6%) patients underwent minimally invasive surgery and 274 (87.8%) patients open surgery. At 4.5 years, DFS was 85.0% in the minimally invasive group and 96% in the open group (difference of –11.1; 95% CI, –15.8 to –6.3; P = .95 for noninferiority). Minimally invasive surgery was associated with lower rate of DFS compared with open surgery (hazard ratio [HR], 3.91 [95% CI, 2.02 to 7.58]; P < .001). Rate of overall survival at 4.5 years was 90.6% versus 96.2% for the minimally invasive and open surgery groups, respectively (HR for death of any cause = 2.71 [95% CI, 1.32 to 5.59]; P = .007). Given higher recurrence rate and worse overall survival with minimally invasive surgery, an open approach should be standard of care.
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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 | 0.008 | 0.013 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.005 | 0.004 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".