Occult Tubal Carcinoma After Risk-Reducing Salpingo-oophorectomy
Bibliographic record
Abstract
OBJECTIVE: To perform a systematic review of the literature to estimate the prevalence and outcomes of occult tubal carcinoma in BRCA mutation carriers and high-risk patients undergoing risk-reducing salpingo-oophorectomy. DATA SOURCE: A search was done using OVID MEDLINE, EMBASE, and ClinicalTrials.gov between 1946 and March 2019 with keywords and MeSH terms selected by an expert medical librarian and coauthors. METHODS OF STUDY SELECTION: Two independent reviewers performed study selection with an initial screen on abstracts and a second on full articles. Articles were rejected if they were irrelevant to the study question, pertained to a different population or did not report occult tubal neoplasia. Quality was assessed using methodologic index for nonrandomized studies criteria. TABULATION, INTEGRATION, AND RESULTS: Data were extracted and recorded in an Excel database. Forest plots for the prevalence of occult carcinoma were done using STATA. Among 2,402 studies assessed, 27 met the inclusion criteria for qualitative and quantitative analysis. A total of 6,283 patients underwent risk-reducing salpingo-oophorectomy between 2002 and 2019: 2,894 cases were BRCA1, 1,579 BRCA2, and 1,810 high-risk based on family history. Among these, 75 patients were diagnosed with occult tubal carcinoma at the time of surgery. The pooled prevalence was 1.2% (I=7.1%, P=.363) occurring at a median age of 53.2 years (range 42.4-67). In a subanalysis of 18 studies reporting follow-up data, 10 recurrences (18.7%, 95% CI 7.5-53%) and 24 cases of post-risk-reducing salpingo-oophorectomy peritoneal cancer (0.54%, 95% CI 0.4-1.9%) were reported after a median follow-up of 52.5 months. BRCA1, older age, and previous breast cancer were more often associated with occult malignancy. CONCLUSION: Occult tubal carcinomas found at risk-reducing salpingo-oophorectomy in high-risk patients and BRCA mutation carriers have significant potential for recurrence despite the frequent administration of postoperative chemotherapy.
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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 | 0.014 | 0.058 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.009 | 0.007 |
| Bibliometrics | 0.013 | 0.011 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| 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".