Phase 2 study of avatrombopag in Japanese patients with chronic liver disease and thrombocytopenia
Bibliographic record
Abstract
Abstract Aim Avatrombopag, a thrombopoietin receptor agonist, can reduce the need for platelet transfusions or rescue interventions for bleeding in patients with chronic liver disease (CLD) and thrombocytopenia undergoing scheduled procedures. A model analysis indicated that the effect of avatrombopag on platelet production was reduced in East Asian versus non‐East Asian patients; however, the difference was deemed not clinically significant. Furthermore, a subgroup analysis of pooled Phase 3 trials showed similar avatrombopag efficacy across racial subgroups. The aim of this Phase 2 study was to corroborate the efficacy and safety of avatrombopag in Japanese patients with thrombocytopenia due to CLD. Methods Japanese patients with CLD and thrombocytopenia were randomized to receive placebo or avatrombopag 20, 40, or 60 mg daily for 5 days. The primary endpoint was responder rate in platelet counts at Visit 4 (10–13 days after treatment initiation), defined as the proportion of patients with platelet count ≥50 × 10 9 /L and ≥20 × 10 9 /L increase from baseline. Results Thirty‐nine patients were randomized and completed the study (placebo, n = 11; avatrombopag 20 mg, n = 7; 40 mg, n = 11; 60 mg, n = 10). Avatrombopag treatment was associated with significant increases in responder rate at Visit 4 in the 40 mg (63.6%; p = 0.004) and 60 mg (40%; p = 0.024) groups versus placebo (9.1%). Avatrombopag was well tolerated and no new safety signals were detected. Conclusions Efficacy and safety results from this study were consistent with previous studies in patients with CLD and thrombocytopenia undergoing elective procedures, supporting treatment with avatrombopag in the Japanese population. ClinicalTrials.gov identifier: NCT02227693.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".