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A comparison of relative-efficacy estimate(s) derived from both matching-adjusted indirect comparisons and standard anchored indirect treatment comparisons

journal contribution
posted on 2023-09-11, 13:11 authored by Owen Cassidy, Marie Harte, Lea Trela-Larsen, CATHAL WALSHCATHAL WALSH, Arthur White, Laura McCullagh, Joy Leahy

Objectives

We present an empirical comparison of relative-efficacy estimate(s) from matching-adjusted indirect comparisons (MAICs) with estimates from corresponding standard anchored indirect treatment comparisons.

Methods

A total of 80 comparisons were identified from 17 publications through a systematic rapid review. A standardized metric that used reported relative treatment efficacy estimates and their associated uncertainty was used to compare the methods across different treatment indications and outcome measures.

Results

On aggregate, MAICs presented for connected networks tended to report a more favorable relative-efficacy estimate for the treatment for which individual-level patient data were available relative to the reported indirect treatment comparison estimate.

Conclusions

Although we recognize the importance of MAIC and other population adjustment methods in certain situations, we recommend that results from these analyses are interpreted with caution. Researchers and analysts should carefully consider if MAICs are appropriate where presented and whether MAICs would have added value where omitted.

History

Publication

Value in Health, 2023

Publisher

Elsevier

Also affiliated with

  • Health Research Institute (HRI)
  • MACSI - Mathematics Application Consortium for Science & Industry

Sustainable development goals

  • (3) Good Health and Well-being

Department or School

  • Mathematics & Statistics