Outcome after ovarian/adnexal metastectomy in metastatic colorectal carcinoma
Bibliographic record
Abstract
BACKGROUND: Ovarian metastases are reported to occur in 3-8% of women undergoing surgical resection of a primary colorectal adenocarcinoma. Information on clinical outcome after metastectomy for these patients is limited. Patients and Methods A computerized search of the medical record archive at the London Regional Cancer Centre (LRCC) identified 38 patients with metastatic colorectal cancer who underwent ovarian metastectomy between 1984-98. RESULTS: Median age at diagnosis colorectal cancer was 54.5 years (range: 19-76). Nine women were <50 and 29 women were >50 years old at diagnosis of metastases. Ovarian metastases were diagnosed a median of 15 months (range: -2-65) after diagnosis of the primary malignancy. Complete resection was achieved in 19 patients. Nodal status of the primary tumor, presence of synchronous metastases, adjuvant therapy for colorectal cancer as well as interval to diagnosis of ovarian metastases had no significant effect on survival. Median survival for women aged <50 was 34.5 months vs. 17 months for those >50 (P = 0.22). Women with metastases confined to the pelvis survived a median of 31 months (range: 20-42) compared to 14 months for women with disease outside of the pelvis (P = 0.011). Median survival after complete metastectomy was 31 months (range: 24-45) and after palliative debulking was 14 months (range: 7-20) (P = 0.014). CONCLUSIONS: Our results suggest that ovarian metastectomy may significantly improve overall survival in younger women able to undergo complete metastectomy for disease confined to the pelvis. Results also suggest that extent of disease and feasibility of complete resection may significantly impact on prognosis and must be carefully evaluated before 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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 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".