Central nervous system metastasis secondary to colorectal cancer: a retrospective cohort study of 20 cases
Bibliographic record
Abstract
INTRODUCTION: Involvement of the central nervous system (CNS) secondary to colorectal cancer is infrequent and associated with a poor prognosis. Its treatment is extrapolated from metastases of other origins as the information available on this scenario is limited. The goal of this study is to assess the clinical characteristics of a series of patients and determine the results in terms of progression-free survival (PFS) and global survival. METHOD: The records of patients with CNS metastasis of colorectal origin who were treated in this facility between the years 2001 and 2016 were reviewed retrospectively. RESULTS: 20 patients with CNS lesions of this origin were identified. Of these, 45% were male and 55% were female (average age 65.5 years). The histology corresponded to tubular adenocarcinoma in 95% of cases. Around 85% of the patients showed a neurological deficit, and their recursive partitioning analysis (RPA) classifications were 1 in 20%, 2 in 55%, and 3 in 25% of the cases studied. The treatments provided were: holocerebral radiotherapy (45%), stereotactic radiosurgery (25%), surgery followed by holocerebral radiotherapy (25%), and exclusively palliative care (5%). The PFS was 2.6 months from treatment of the CNS lesion, while the median survival was 3.8 months. The survival times for patients receiving different treatments were as follows: surgery plus holocerebral radiotherapy 16.2 months, stereotactic radiotherapy 12 months, and holocerebral radiotherapy 2.4 months (p = 0.003). CONCLUSION: The prognosis for patients with metastasis of colorectal origin is poor. The patients treated with surgery or stereotactic radiotherapy can have a greater survival.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".