| Literature DB >> 29767688 |
J S Berek1, U A Matulonis2, U Peen3, P Ghatage4, S Mahner5, A Redondo6, A Lesoin7, N Colombo8, I Vergote9, O Rosengarten10, J Ledermann11, M Pineda12, S Ellard13, J Sehouli14, A Gonzalez-Martin15, D Berton-Rigaud16, R Madry17, A Reinthaller18, S Hazard19, W Guo20, M R Mirza21.
Abstract
Background: Niraparib is a poly(ADP-ribose) polymerase inhibitor approved in the USA and Europe for maintenance treatment of adult patients with recurrent epithelial ovarian, fallopian tube, or primary peritoneal cancer who are in complete or partial response to platinum-based chemotherapy. In the pivotal ENGOT-OV16/NOVA trial, the dose reduction rate due to treatment-emergent adverse event (TEAE) was 68.9%, and the discontinuation rate due to TEAE was 14.7%, including 3.3% due to thrombocytopenia. A retrospective analysis was carried out to identify clinical parameters that predict dose reductions. Patients and methods: All analyses were carried out on the safety population, comprising all patients who received at least one dose of study drug. Patients were analyzed according to the study drug consumed (i.e., as treated). A predictive modeling method (decision trees) was used to identify important variables for predicting the likelihood of developing grade ≥3 thrombocytopenia within 30 days after the first dose of niraparib and determine cut-off points for chosen variables.Entities:
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Year: 2018 PMID: 29767688 DOI: 10.1093/annonc/mdy181
Source DB: PubMed Journal: Ann Oncol ISSN: 0923-7534 Impact factor: 32.976