Upfront thiotepa, busulfan, cyclophosphamide, and autologous stem cell transplantation for primary CNS lymphoma: a single centre experience
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Treatment of primary central nervous system lymphoma (PCNSL) with high-dose methotrexate-based chemotherapy and whole-brain radiotherapy (WBRT) is associated with high rates of relapse and severe neurotoxicity. In an attempt to improve upon these poor results, we treated 21 patients with PCNSL aged 34-69 years (median 56) with high-dose thiotepa, busulfan, cyclophosphamide (TBC) and autologous stem cell transplant (ASCT) as part of front-line therapy, without WBRT. Patient characteristics included: Karnofsky performance status (KPS) <70% (n = 17), age >60 years (n = 8), deep brain involvement (n = 16). Treatment-induced neurotoxicity was not observed in any of these patients. Currently, 11 of 21 patients (52%) are alive and progression-free at a median follow-up of 60 (7-125) months post-ASCT. Causes of death included progressive PCNSL (n = 4), progressive systemic lymphoma (n = 1), early treatment-related mortality (TRM, n = 3) and two late deaths from pneumonia 3 years post-ASCT. All patients who died of TRM were over 60 years of age and had poor performance status. In conclusion, TBC/ASCT offers potential long-term progression-free survival without neurotoxicity when used as part of upfront therapy for PCNSL. However, efforts to reduce TRM through improved patient selection and possibly through decreased intensity of the TBC regimen for older or less fit patients are recommended.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it