Primary Cerebral Lymphoma Causing Remitting and Relapsing Neurological Symptoms
Bibliographic record
Abstract
Primary CNS lymphoma is a rare variant of non-Hodgkin’s lymphoma. Incidence has increased over the past 3 decades, but the optimum treatment protocol is yet to be established. We report a 44-year old man who presented with left-sided numbness. Magnetic resonance imaging of the brain revealed a right hemisphere ill-defined mass. Within four months the patient experienced a spontaneous near-full recovery. From this time the patient deteriorated with increasing left hemiparesis. After several months, the patient developed lethargy and dyspnoea, with episodes of epistaxis and per rectal bleeding. Full blood count revealed a pancytopaenia. Trephine biopsy demonstrated evidence of marrow involvement by diffuse large B-cell lymphoma. The patient was diagnosed with primary CNS lymphoma with systemic involvement. We conclude that the spontaneous remission of symptoms should not discourage a diagnosis of PCNSL if consistent with clinical and radiological findings. doi: http://dx.doi.org/10.4021/jmc1159e
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".