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Evaluation of Information Theoretic Network Meta-analysis to Rank First-Line Anticancer Regimens for Hormone Receptor–Positive, ERBB2-Negative Metastatic Breast Cancer

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Key Points Question Can information theoretic network meta-analysis (IT-NMA) rank the estimated efficacy of regimens for hormone receptor–positive, ERBB2-negative metastatic breast cancer (HR-positive, ERBB2-negative MBC)? Findings In this network meta-analysis… Click to show full abstract

Key Points Question Can information theoretic network meta-analysis (IT-NMA) rank the estimated efficacy of regimens for hormone receptor–positive, ERBB2-negative metastatic breast cancer (HR-positive, ERBB2-negative MBC)? Findings In this network meta-analysis study, a combination of targeted and endocrine therapy, ie, letrozole and palbociclib, had the highest ranking. Rarely used regimens’ rank scores gravitated to indeterminacy, while monotherapies that compared unfavorably with novel agents or combinations in recent trials, such as anastrozole, had low rankings. Meaning In this study, combination therapies were ranked more highly than monotherapies for treating HR-positive, ERBB2-negative MBC.

Keywords: positive erbb2; erbb2 negative; meta analysis; network meta

Journal Title: JAMA Network Open
Year Published: 2022

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