Clinical features, management and prognosis of multifocal primary bone lymphoma: a retrospective study of the international extranodal lymphoma study group (the <scp>IELSG</scp> 14 study)
Bibliographic record
Abstract
'Multifocal bone lymphoma' or 'polyostotic lymphoma' is a neoplasm with exclusive multifocal involvement of the skeleton, without affecting lymph nodes or other soft tissues. Knowledge on this uncommon condition is limited because the related literature is sparse and fragmentary. We reviewed cases of multifocal bone diffuse large B-cell lymphoma (MB-DLBCL) registered in a clinico-pathological database of the International Extranodal Lymphoma Study Group that includes 499 cases of bone lymphoma. Clinical features, management and prognosis of 37 MB-DLBCL patients and 63 'controls' (stage-IV DLBCL and skeletal involvement) were analysed. Presentation and treatment of MB-DLBCL and controls were identical. At a median follow-up of 52 months (10-189), MB-DLBCL patients exhibited a significantly better response rate (92% vs. 65%; P = 0·002), progression-free survival (5-year: 56 ± 9% vs. 34 ± 6%; P = 0·003) and overall survival (5-year: 74 ± 8% vs. 36 ± 7%; P = 0·002). Among MB-DLBCL patients, the use of post-chemo radiotherapy was associated with better overall survival (5-year: 83 ± 12% vs. 55 ± 16%; P = 0·003). Two MB-DLBCL patients (5·4%) with spine and skull involvement experienced central nervous system (CNS) relapse. Thus, MB-DLBCL patients exhibit a significantly better prognosis compared to patients with advanced-stage DLBCL, and should be treated with conventional anthracycline-based chemotherapy, keeping intensified treatment for relapsing cases, considering involved-field radiotherapy, and CNS prophylaxis in high-risk patients.
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.
How this classification was reachedexpand
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".