KEYNOTE-013 4-year follow-up of pembrolizumab in classical Hodgkin lymphoma after brentuximab vedotin failure
Bibliographic record
Abstract
The KEYNOTE-013 study was conducted to evaluate pembrolizumab monotherapy in hematologic malignancies; classical Hodgkin lymphoma (cHL) was an independent expansion cohort. We present long-term results based on >4 years of median follow-up for the cHL cohort. The trial enrolled cHL patients who experienced relapse after, were ineligible for, or declined autologous stem cell transplantation and experienced progression with or did not respond to brentuximab vedotin. Patients received IV pembrolizumab 10 mg/kg every 2 weeks for up to 2 years or until confirmed progression or unacceptable toxicity. Primary end points were safety and complete response (CR) rate by central review. Enrolled patients (N = 31) had received a median of 5 therapies (range, 2 to 15). After a median follow-up of 52.8 months (range, 7.0 to 57.6 months), CR rate was 19%, and median duration of response (DOR) was not reached; 24-month and 36-month DOR rates were both 50% by the Kaplan-Meier method. Median overall survival was not reached; 36-month overall survival was 81%. Six patients (19%) experienced grade 3 treatment-related adverse events (AEs); there were no grade 4 or 5 treatment-related AEs. With long-term follow-up among a heavily pretreated cohort, pembrolizumab had a favorable safety profile; some patients maintained long-term response with pembrolizumab years after end of treatment. This trial was registered at www.clinicaltrials.gov as #NCT01953692.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".