Clinicopathological characteristics and long‐term outcomes of plasmablastic lymphoma in British Columbia
Bibliographic record
Abstract
Plasmablastic lymphoma (PBL) is an aggressive and rare subtype of non-Hodgkin lymphoma with no standard-of-care therapy. We reviewed all patients diagnosed with histologically confirmed PBL in British Columbia, Canada between 1997 and 2019. Overall, 42 patients were identified, including 15 (36%) positive for HIV and nine (21%) on chronic immunosuppression. Curative-intent treatment consisting primarily of cyclophosphamide, doxorubicin, vincristine and prednisone was administered to 31 patients, of which 74% achieved response, however 61% relapsed after a median of 7.5 months. At a median follow-up of eight years for the whole cohort, five-year progression-free survival (PFS) and overall survival (OS) were 18% [95% confidence interval (CI): 6%, 30%] and 22% (95% CI: 8%, 36%) with median eight and 15 months respectively. There were no differences in relapse rate (p = 0.962), PFS (p = 0.228) or OS (p = 0.340) according to immune status. For those treated with curative intent, five-year PFS and OS were 24% (95% CI: 8%, 40%) and 31% (95% CI: 13%, 49%) with median 18 and 27 months respectively. In this population-based cohort of PBL patients spanning 20 years, survival outcomes were poor. Ultimately, further research is needed to develop more effective treatment strategies and to improve survival for patients.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| 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".