Methods: A systematic literature search was performed on PubMed, Embase, Cochrane, and Scopus from inception until December 2023. Retrospective cohort studies and randomized-controlled trials with trilaciclib and non-trilaciclib arms were included. The primary outcomes of interest were CIM-related grade ≥3 hematological adverse events, and secondary outcomes included supportive care interventions to remedy CIM. Quantitative meta-analyses were conducted using the random-effects model on STATA v17.
Results: The meta-analysis comprised seven studies, including four clinical trials and three real-world retrospective studies, including 6537 patients with extensive SCLC or locally recurrent or metastatic breast cancer. Chemotherapy regimens in SCLC patients included the combination of etoposide/platinum (E/P), E/P/PD-L1 inhibitors, or topotecan, and gemcitabine/carboplatin in patients with breast cancer. The mean age of the patients was 63.28 ± 5.31 years, and 49.21% were males. Administration of trilaciclib led to a reduction in the incidence of febrile neutropenia (2.41% vs. 7.56% OR = 0.35), severe neutropenia (21.76% vs. 41.91% OR = 0.57), anemia (18.02% vs. 32.41% OR = 0.51), and thrombocytopenia (20.06% vs. 31.25% OR = 0.62). Utilization of cytopenia-supportive therapies, including granulocyte colony-stimulating factor use (40.47% vs. 81.01% OR = 0.61) and RBC transfusions (16.66% vs. 18.25% OR = 0.59) were significantly lower in the trilaciclib cohort as compared to control. The overall response rate (mean difference = 1.09,95% CI = 0.74–1.60) and overall survival (OR = -0.02 95% CI = -0.95-0.92) were similar, and progression-free survival was noted to be longer in the trilaciclib group (mean difference = 1.75, 95% CI = 0.75-2.75).
Conclusions:Trilaciclib use consistently demonstrated efficacy in reducing CIM, thus lowering cytopenia-related healthcare utilization without compromising treatment efficacy in trials and real-world settings. Its novel mechanism of action offers great promise, and further studies with larger sample sizes on various cancers will corroborate existing evidence.
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