P.109 Isolated central nervous system lymphoma in the inpatient setting: a case series
Bibliographic record
Abstract
Background: Isolated central nervous system lymphomas (CNS-L) has non-specific clinical presentations causing delays in diagnosis and treatment. This retrospective case series aims to characterize these challenges in the inpatient setting. Methods: Chart review of biopsy-proven CNS-L cases (n=10) presenting to Vancouver General Hospital from 2018-2020: diffuse (8/10) and intravascular (2/10) large B-cell lymphomas were included. Results: Median age was 69 years (31-83); 50% were female; 9/10 immunocompetent, 1/10 had well-controlled HIV. Neurologic symptoms at presentation: ataxia (7/10), paresis (4/10), dysphagia (4/10), dysarthria (2/10), and cognitive decline (4/10). Median time from symptom onset to admission with paresis, ataxia, dysphagia, or dysarthria was 3 days (1-14), compared to 84 days (28-384) with transient/vague symptoms. Median time from admission to biopsy was 25 days (5-148). 4/10 received steroid prior to biopsy. 1/10 had solitary lesion on MRI, 8/10 had ≥2 lesions. Diagnosed on lumbar puncture (0/10), skin biopsy (1/10), vitreous biopsy (1/10), brain biopsy (8/10), autopsy (1/10). 4/10 survived, 6/10 died; median time from admission to mortality was 133 days (61-342). Conclusions: Many factors lead to delays in diagnosis and treatment of CNS-L, including non-specific clinical presentations and time to brain biopsy for definitive diagnosis. Earlier recognition and reducing biopsy delays may help achieve earlier diagnosis.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".