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Progression-free survival and safety at 3.5 years of follow-up: results from the randomized phase 3 PRIMA/ENGOT-OV26/GOG-3012 trial of niraparib maintenance treatment in patients with newly diagnosed ovarian cancer – a plain language summary

A. González-Martín, B. Pothuri, I. Vergote, W. Graybill, D. Lorusso, C. Mccormick, G. Freyer, F. Backes et al.

Future Oncology, 2024

7 citations

Abstract

Plain Language Summary What is this summary about? This PLSP provides a short summary of an original scientific article that presented results from the PRIMA study after 3.5 years of follow-up time. The original article was published in the European Journal of Cancer in 2023. The PRIMA study included adult patients with newly diagnosed advanced high-risk ovarian cancer whose tumors shrunk or became undetectable after treatment with chemotherapy with or without surgery. The PRIMA study evaluated how well the drug niraparib, also known as Zejula, worked at delaying or preventing ovarian cancer from coming back (recurring) or getting worse (progressing) compared with placebo (a substance with no effects that a doctor gives to a patient instead of a drug). The first results from the PRIMA study were published in 2019, when patients had participated in the PRIMA study for about 1.2 years. The article this PLSP is based on reports longer-term data from the PRIMA study, when patients had participated in the PRIMA study for about 3.5 years. Patients were monitored (or followed) for a longer time to understand how well niraparib continued to work and to evaluate whether the safety of niraparib changed with additional time being monitored. What were the results? Patients who took niraparib had more time before their cancer came back or got worse than patients who took placebo. In terms of safety, no new types of side effects with niraparib treatment were observed with additional time…

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Evidence Hub reads this as a randomized trial, done in people. Its evidence level is 2 of 5 (High · randomized trial). Randomized trials of a reasonable size are the strongest single-study design.

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