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FLT3 inhibitors in acute myeloid leukemia: A network meta-analysis of phase III trials

S. Bhimani, Taimoor Nasir, Aniqa Baloch, S. Surpur, S. Ahuja, Waleed Iftikhar, M. U. Anjum, Douglas Klamp

Journal of Clinical Oncology, 2026

1,600 participants

Abstract

e18505

Background:

FLT3 inhibitors improve outcomes in FLT3-mutated acute myeloid leukemia (AML); however, no head-to-head phase III comparisons exist among available agents. Updated randomized data from RATIFY (midostaurin), QUANTUM-First (quizartinib), and ADMIRAL (gilteritinib) enable indirect comparative effectiveness assessment of FLT3-directed therapy across treatment settings.

Methods:

A frequentist network meta-analysis was performed using phase III randomized trials enrolling FLT3-mutated AML patients. Reported hazard ratios (HRs) for overall survival (OS) and event-free survival (EFS) were extracted. Random-effects network models estimated treatment effects versus chemotherapy and ranking probabilities (P-scores). The evidence network was anchored through shared chemotherapy control arms. Frontline survival comparisons included RATIFY and QUANTUM-First; ADMIRAL was analyzed separately due to relapse/refractory (R/R) population differences.

Results:

Across five comparisons (~1,600 patients), midostaurin (HR 0.78; 95% CI 0.63–0.96) and quizartinib (HR 0.78; 95% CI 0.62–0.98) each significantly reduced mortality versus placebo in frontline AML. Indirect comparison demonstrated no detectable difference between the two agents (HR 1.00; 95% CI 0.73–1.36). Ranking analysis assigned near-identical P-scores to midostaurin and quizartinib (0.74 vs 0.74), supporting equivalent likelihood of benefit in the frontline setting. In the R/R population, gilteritinib significantly…

How strong is the evidence?

Evidence Hub reads this as a meta-analysis, done in people. Its evidence level is 1 of 5 (Highest · pooled evidence). Pooled evidence from several studies sits at the top of the evidence pyramid. Reported size: 1,600 participants or records.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

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