Outcomes of Patients Undergoing Surgical Resection of a Brain Metastasis: A Cancer Care Nova Scotia Project
Bibliographic record
Abstract
Brain metastases pose a formidable and increasingly common challenge in contemporary cancer care. Current evidence suggests that surgical resection of single brain metastases affords a survival advantage over mainstay treatment of brain metastases with radiotherapy and corticosteroids. Despite advances attained by surgical resection, median survival times remain short, however, and most patients succumb to systemic progression of their cancer within a year following resection. Patients with a single or solitary, tissue-proven brain metastasis obtained by surgical resection were retrospectively reviewed. Of eligible patients that met inclusion criteria, the mean age at diagnosis of the brain metastasis was 57. Lung cancer was the most common type of cancer producing metastasis to the brain. The most common histologies were adenocarcinoma (17/41; 41.5%) and unspecified carcinoma (12/41; 29.3%). Following resection, the overall median survival was 33.3 weeks. Good performance status and small brain metastasis size were favourable prognostic factors for prolonged survival in this series. The median survival times of patients in this series were slightly inferior, yet comparable to more stringently selected patients in randomized control trials of surgical resection of brain metastases. These comparable results add further support for the use of surgical resection in the treatment of a brain metastasis.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 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".