[Primary central nervous system lymphoma in immunocompetent patients].
Bibliographic record
Abstract
Primary central nervous system lymphoma has been traditionally described in patients with immunodeficiency syndromes; however, there is an increasing number of immunocompetent patients with this type of tumor that have been reported recently. In this paper we have retrospectively analyzed 22 immunocompetent patients with a confirmed diagnosis of primary lymphoma of the brain. The mean age in this group was 65 years with a similar male/female ratio. The time of evolution of the clinical course was 80.4 days and it was mainly characterized by headache and focal neurological deficit. In four patients multiple lesions were observed, while the remaining presented single lesions mainly located in the periventricular area of the cerebral hemispheres. All patients were initially administered steroids and a stereotactic biopsy was performed. The majority of tumors were histologically classified as diffuse large cells and all of them showed a positive reaction to B-cells antigens on immunohistochemistry. All patients were treated with radiotherapy and in 10 of them, chemotherapy with methotrexate was also indicated. The mean survival rate was II months among patients treated with radiotherapy alone and increased to 36 months when chemotherapy was added.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.006 | 0.001 |
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".