Safety and Efficacy of Chop for Treatment of Diffuse Large B-Cell Lymphoma with Different Combination Antiretroviral Therapy Regimens: Sculpt Study
Bibliographic record
Abstract
BACKGROUND: Use of combination antiretroviral therapy (cART) and cyclophosphamide, doxorubicin, vincristine and prednisone (CHOP) with or without rituximab for treatment of diffuse large B-cell lymphoma (DLBCL) in HIV substantially increases response rates but may also increase toxicity, possibly due to antiretroviral-antineoplastic drug interactions. The objective of this study was to evaluate the frequency of complete remission (CR) of DLBCL in patients treated with CHOP while receiving a protease inhibitor (PI) versus a non-PI-based cART. METHODS: A retrospective multicentre pilot study was conducted in HIV-infected patients on cART treated for DLBCL with CHOP between 2002-2010 in three academic hospitals. RESULTS: A total of 34 patients were included with 65% and 35% of patients receiving a PI and non-PI-based cART, respectively. Baseline characteristics between groups were similar; overall 85% were male, median age was 43 years, 50% had an International Prognostic Index (IPI) of 2-3 and median CD4(+) T-cell count was 225 cells/mm(3). CR was achieved in 77% and 58% of patients in the PI and non-PI groups, respectively (P=0.21), with 65% and 63% of patients achieving 2-year overall survival (P=1.00). A multivariate analysis showed that lower IPI score alone was significantly associated with higher CR rates (P=0.05). Toxicity was similar between both groups. CONCLUSIONS: Similar efficacy and toxicity of CHOP was observed in patients receiving a PI and non-PI-based cART.
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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 | 0.000 | 0.000 |
| 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".