International Primary Central Nervous System Lymphoma Collaborative Group (IPCG) Study on Low-Grade Primary Central Nervous System Lymphoma in Immunocompetent Patients.
Bibliographic record
Abstract
Abstract Low-grade primary central nervous system lymphoma is a very rare subtype of primary central nervous system lymphoma (PCNSL), for which almost no data is currently available. The purpose of this retrospective study was to characterize the clinical presentation, course and outcome of patients with low-grade PCNSL. Forty patients (18 male, 22 female) from 18 cancer centers in five countries were identified with a median age of 58 (range, 19–78) years and a median Eastern Cooperative Oncology Group (ECOG) performance status of 1 (range, 0–4). The mean time to diagnosis was 14.8 months (range, 0.25–84). Thirty-two patients (80%) had a B-cell and eight a T-cell lymphoma. Thirty-seven patients (92.5%) showed involvement of a cerebral hemisphere or deeper brain structures, while two evidenced only leptomeningeal involvement, and one patient had spinal cord disease. Treatment was performed in 39 patients: chemotherapy and radiotherapy in 15 (38%), radiotherapy alone in 12 (30%), chemotherapy alone in 10 (25%), and tumor resection alone in two. The median progression-free survival (PFS), disease-specific survival (DSS) and overall survival (OAS) were 61.5 (range, 0–204), 130 (range, 1–204), and 79 (range, 1–204) months, respectively. An age ≥60 years was associated with a shorter PFS (P = .009), DSS (P = .015) and OAS (P = .001) in multivariate analysis. Low-grade PCNSL differ from the high-grade subtype in pathological, clinical and radiological features. In this study, the long-term outcome was better as compared to the results obtained in PCNSL in general with age ≥60 years adversely affecting survival.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".