The attributive value of comprehensive surgical staging in clinically early-stage epithelial ovarian carcinoma: A systematic review and meta-analysis
Bibliographic record
Abstract
BACKGROUND: Tumor positivity and upstaging rates from various surgical staging steps performed in clinically early-stage epithelial ovarian carcinoma (EOC) vary widely in literature. AIM: To quantify tumor positivity and upstaging rates for all staging surgery steps in EOC patients. Differences between subgroups based on their clinical and histological characteristics are explored. METHODS: A systematic search using synonyms of 'ovarian cancer', 'neoplasm staging', and 'neoplasm metastasis' was conducted in PubMed, Embase, and the Cochrane Library. Meta-analysis was performed on 23 included studies, comprising 5194 clinical stage I or II EOC patients who underwent comprehensive surgical staging. Studies were assessed using the Newcastle-Ottawa Scale risk-of-bias tool. Pooled proportions and 95% confidence intervals were calculated using an inverse variance weighted random-effects model. RESULTS: Overall upstaging rate of clinically early-stage EOC patients was 18.7% (95%CI: 14.1-23.4%). Serous histology or high grade EOC showed the highest upstaging rate at 35.3% (95%CI: 21.8-48.7%) and 40.9% (95%CI: 35.6-46.2%). Lymph node involvement resulted in an upstaging rate of 8.7% (95%CI: 6.2-11.3%). Tumor was identified in uterus, cytology, peritoneal biopsies, omentum and appendix in 6.2% (95%CI: 1.8-10.7%), 18.4% (95%CI: 13.8-22.9%), 9.7% (95%CI: 3.8-15.6%), 5.2% (95%CI: 1.7-8.8%) and 3.6% (95%CI: 0.0-7.5%) of EOC patients. The corresponding upstaging rates were 5.9% (95%CI: 1.4-10.4%), 8.5% (95%CI: 1.8-15.2%), 3.5% (95%CI: 1.0-6.0%), 3.9% (95%CI: 1.4-6.3%) and 1.6% (95%CI: 0.0-3.4%), respectively. CONCLUSION: The attributive value of comprehensive surgical staging in clinically early-stage EOC patients remains substantial, particularly in serous and high grade tumors.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.021 | 0.004 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".