Balancing relapses versus cognitive impairment in primary central nervous system lymphoma: a single<b>-</b>center experience
Bibliographic record
Abstract
OBJECTIVES: The outcomes of primary central nervous system lymphoma (PCNSL) are much improved with multi-modality regimens. Unfortunately, in limited-resource countries, chemo-radiotherapy is the only option of curative-intent treatment. This study aimed to evaluate the effects of low-dose whole brain radiotherapy (WBRT) as a consolidation on disease control and long-term neurocognitive functions. METHODS: We conducted a retrospective single-center study enrolling PCNSL patients from 2011 to May 2016 to evaluate the real-life treatment outcome and neurotoxicity from treatment especially radiotherapy. RESULTS: Thirty-seven newly diagnosed immunocompetent PCNSL patients were treated with a high-dose methotrexate-based regimen with or without WBRT. The median age was 56 (range 16-78) years old. After chemotherapy, the overall response and complete response (CR) rates were 59.5% and 43.2%, respectively. All 6 partial response (PR) patients and 6 of 16 CR patients underwent radiotherapy. In 22 patients who achieved CR, the progression-free survival (PFS) of patients without WBRT was significantly inferior to the WBRT group with the hazard ratio of 4.7 (95% confidence interval 1.14-19.82, p = 0.03). The 3-year PFS were 35% and 78.75%, respectively, but there was no difference in overall survival. The serial Montreal Cognitive Assessment evaluations (20-72 months post chemotherapy) of 10 long-term CR patients revealed one dementia among three patients without WBRT and five mild cognitive impairments in seven patients with WBRT. Except for the dementia case, all the other patients can perform daily activities without assistance. CONCLUSION: The low-dose WBRT consolidation is associated with lower PCNSL relapses with only mild neurocognitive toxicity.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.001 | 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 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".