Protocol-Stipulated Dose Modification to Manage Chemotherapy-Induced Peripheral Neuropathy in Children, Adolescents, and Young Adults With High-Risk Hodgkin Lymphoma
Bibliographic record
Abstract
PURPOSE: Brentuximab vedotin (BV) incorporation into frontline chemotherapy regimens improved outcomes for classic Hodgkin lymphoma (cHL). The shared mechanism of action of BV and vinca alkaloids as microtubulin inhibitors increased the potential risk of chemotherapy-induced peripheral neuropathy (CIPN). Rates of CIPN and use of protocol-stipulated dose modifications of a microtubulin inhibitor were examined on the Children's Oncology Group AHOD1331 study, which compared BV, doxorubicin, vincristine (VCR), etoposide, prednisone, cyclophosphamide (BV-AVE-PC; BV arm) with bleomycin containing doxorubicin, bleomycin, vincristine, etoposide, prednisone, cyclophosphamide (ABVE-PC; standard arm) in patients with high-risk cHL ages 2-21 years. METHODS: AHOD1331 required clinician grading and reporting of ≥grade 2 CIPN. Protocol-stipulated dose modifications of VCR preceded modification of BV for ≥grade 2 CIPN in the BV arm, but only required modification of VCR for ≥grade 3 in the standard arm. Outcomes included CIPN rates, dose modification of microtubulin inhibitors by study arm, clinical factors associated with dose modifications, and event-free survival (EFS) by the presence of dose modification. RESULTS: = .001); however, most patients with CIPN on the BV arm received full-dose BV. EFS did not differ by the presence of dose modifications after accounting for study arm, age, sex, and stage, although older age was significantly associated with the risk of VCR dose modifications for CIPN. CONCLUSION: A staged dose modification plan for vinca alkaloids and BV as administered in AHOD1331 minimized the effect of incorporating a second microtubulin inhibitor on CIPN without compromising treatment efficacy in the BV arm.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".