Surgical management of brain metastasis from ovarian cancer: a systematic review and case series
Bibliographic record
Abstract
OBJECTIVE: Ovarian cancer is a rare origin of brain metastasis (BM), with an incidence of only 1%-3%. Consequently, the literature is sparse, and no treatment consensus guideline is available for ovarian BM. The authors conducted a systematic review of ovarian BM and performed a combined pooled cohort survival analysis with their case series. METHODS: A systematic review of PubMed, Scopus, and Web of Science consistent with PRISMA guidelines along with an institutional retrospective chart review was conducted. Inclusion criteria for the systematic review included patients with confirmed BM and primary ovarian cancer, reported perioperative complications and outcomes, differentiated histology, and explicitly reported individual patient data. Reviews, commentaries, technical notes, and articles without English-language translations were excluded. The Newcastle-Ottawa Quality Assessment Scale was used independently by the first and second authors to assess the quality of each article. The authors performed univariate and multivariate analyses of several survival prognostic factors. Kaplan-Meier curves were generated for significant prognostic factors in the univariate analysis. RESULTS: A total of 48 patients with individual data across 34 studies and 8 patients from the authors' institution were included. All patients (n = 56) underwent resection for BM; 83.9% received adjuvant radiotherapy following surgery and 41.1% of patients received adjuvant chemotherapy. The median progression-free survival was 12 months (range 2-43 months). The median overall survival was 9 months (range 1-49 months). On univariate analysis, a single BM and no extracranial metastasis conferred a survival benefit, while clear cell carcinoma as the primary histology corresponded to worsened OS. Multivariable analysis showed that age > 50 years (p = 0.002) and > 1 BM (p < 0.001) were risk factors for poor prognosis. Protective factors included the addition of the following multimodal adjuvant therapy with surgery: radiotherapy (p = 0.002), chemotherapy and radiotherapy (p = 0.005), and stereotactic radiosurgery (p = 0.002). CONCLUSIONS: Although the scarcity of published individual patient data hinders the determination of optimal management, the authors' analysis highlights that multimodal therapies, a single cranial lesion, and age < 50 years are associated with increased survival for patients with ovarian BMs.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.007 | 0.009 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| 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".