AB080. High-dose methotrexate with and without intra-thecal methotrexate and whole-brain radiotherapy for primary central nervous system lymphoma: a systematic review
Bibliographic record
Abstract
BACKGROUND: Primary central nervous system lymphoma (PCNSL) requires effective & well-tolerated treatment strategies. The use of high-dose methotrexate (HD-MT) with or without intra-thecal methotrexate (IT-MT) and whole-brain radiotherapy (WBRT) has emerged as a prominent approach for PCNSL. This systematic review aims to assess the efficacy and safety of these treatment modalities. METHODS: A comprehensive search strategy identified relevant studies from PubMed, EMBASE, and Cochrane Library. The following search terms were used: "high-dose methotrexate", "primary central nervous system lymphoma", "intra-thecal methotrexate", and "whole-brain radiotherapy". We included randomized controlled trials (RCTs), cohort studies & case-controlled studies evaluating the use of HD-MT with or without IT-MT and whole-brain radiotherapy in the treatment of confirmed PCNSL. Data extraction & quality assessment was conducted by two independent reviewers. Primary outcomes include overall survival (OS), progression-free survival (PFS) & treatment-related adverse events (TRAEs). Secondary outcomes were neurological function and quality of life (QOL) assessments. The risk of bias in individual studies was assessed using the Cochrane Risk of Bias Tool for randomized trials and the Newcastle-Ottawa Scale for observational studies. RESULTS: We identified 5 studies, consisting of 1 RCT, 3 cohort studies, and 1 case-controlled study. Pooled analysis revealed that HD-MT with or without IT-MT and whole-brain radiotherapy significantly improved both OS and PFS compared to other treatment modalities but we found no significant difference between patients who received HD-MT with or without IT-MT. Combination therapy was generally well-tolerated, with manageable TRAE. Subgroup analyses stratified by age, disease stage, and other relevant factors demonstrated consistent efficacy and safety profiles across different patient populations. The risk of bias assessment indicated that the majority of the included studies had low-moderate risk of bias. CONCLUSIONS: There was no significant difference between patients who received HD-MT with or without IT-MT plus radiotherapy, emphasizing the comparable efficacy of these treatment modalities. Combination therapy was generally well-tolerated, with manageable TRAE. This highlights the favourable safety profile of HD-MT with fewer side effects compared with the combination of IT-MT.
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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 | 0.009 | 0.027 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.011 | 0.008 |
| Bibliometrics | 0.010 | 0.011 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 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".