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Risk of fatigue and anemia in patients with advanced cancer treated with olaparib: A meta-analysis of randomized
Viviane C Ruiz-Schutz1, Larissa M Gomes2, Rodrigo C Mariano2
1Faculdade de Medicina da Universidade de Sao Paulo, Sao Paulo - SP, Brazil.
Introduction:
PARP inhibitors are a new class of drugs that are currently being studied in several malignancies. Olaparib is FDA-approved for advanced breast cancer and advanced ovarian cancer patients. Fatigue and anemia are among the most common cancer and treatment-related symptoms. Therefore, we conducted a meta-analysis of randomized controlled trials (RCT) to characterize the incidence and relative risks (RRs) of fatigue and anemia associated with olaparib.
Methods:
PubMed, Cohrane, Embase and abstracts presented at the annual meeting of the American Society of Clinical Oncology (ASCO) were searched for articles published from 2000 to June 2018. The eligible studies were phase II and III RCT of olaparib. Safety profile from each selected study was evaluated for all-grade and high-grade fatigue and anemia adverse events. Summary incidences and the RR, with 95% confidence intervals, of all-grade and high-grade events were calculated using random-effects or fixed-effects model based on the heterogeneity of selected studies.
Results:
A total of 9 trials were selected, and included 2074 patients with advanced ovarian, gastric, prostate, lung or breast cancer. 908 patients received placebo/control treatments and 1166 received olaparib alone or combination with other active cancer treatments. The RR of all-grade and high fatigue was 1.24 (95% CI, 1.10-1.39) and 1.71 (95% CI, 1.06-2.77), respectively. The RR of all-grade and high-grade anemia was 2.10 (95% CI, 1.48-2.98) and 3.15 (95% CI, 1.73-5.71), respectively.
Conclusion:
Our findings suggest that the olaparib treatment is associated with an increased risk of fatigue and anemia. Since fatigue and anemia are very common treatment related adverse events, and both can impair the quality of life of patients, it is important to identify them early and manage it accordingly in order to optimize the overall treatment.
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