Survival After Minimally Invasive vs Open Radical Hysterectomy for Early-Stage Cervical Cancer
Bibliographic record
Abstract
Importance: Minimally invasive techniques are increasingly common in cancer surgery. A recent randomized clinical trial has brought into question the safety of minimally invasive radical hysterectomy for cervical cancer. Objective: To quantify the risk of recurrence and death associated with minimally invasive vs open radical hysterectomy for early-stage cervical cancer reported in observational studies optimized to control for confounding. Data Sources: Ovid MEDLINE, Ovid Embase, PubMed, Scopus, and Web of Science (inception to March 26, 2020) performed in an academic medical setting. Study Selection: In this systematic review and meta-analysis, observational studies were abstracted that used survival analyses to compare outcomes after minimally invasive (laparoscopic or robot-assisted) and open radical hysterectomy in patients with early-stage (International Federation of Gynecology and Obstetrics 2009 stage IA1-IIA) cervical cancer. Study quality was assessed with the Newcastle-Ottawa Scale and included studies with scores of at least 7 points that controlled for confounding by tumor size or stage. Data Extraction and Synthesis: The Meta-analysis of Observational Studies in Epidemiology (MOOSE) checklist was used to abstract data independently by multiple observers. Random-effects models were used to pool associations and to analyze the association between surgical approach and oncologic outcomes. Main Outcomes and Measures: Risk of recurrence or death and risk of all-cause mortality. Results: Forty-nine studies were identified, of which 15 were included in the meta-analysis. Of 9499 patients who underwent radical hysterectomy, 49% (n = 4684) received minimally invasive surgery; of these, 57% (n = 2675) received robot-assisted laparoscopy. There were 530 recurrences and 451 deaths reported. The pooled hazard of recurrence or death was 71% higher among patients who underwent minimally invasive radical hysterectomy compared with those who underwent open surgery (hazard ratio [HR], 1.71; 95% CI, 1.36-2.15; P < .001), and the hazard of death was 56% higher (HR, 1.56; 95% CI, 1.16-2.11; P = .004). Heterogeneity of associations was low to moderate. No association was found between the prevalence of robot-assisted surgery and the magnitude of association between minimally invasive radical hysterectomy and hazard of recurrence or death (2.0% increase in the HR for each 10-percentage point increase in prevalence of robot-assisted surgery [95% CI, -3.4% to 7.7%]) or all-cause mortality (3.7% increase in the HR for each 10-percentage point increase in prevalence of robot-assisted surgery [95% CI, -4.5% to 12.6%]). Conclusions and Relevance: This systematic review and meta-analysis of observational studies found that among patients undergoing radical hysterectomy for early-stage cervical cancer, minimally invasive radical hysterectomy was associated with an elevated risk of recurrence and death compared with open surgery.
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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 | 0.017 | 0.049 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.020 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| 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".