Efficacy of Interventions for Newly Diagnosed Multiple Myeloma: An Umbrella Review

Yimeng Li1, Mengmeng Ji2, Mark A Fiala3

  • 1Department of Chronic Disease Epidemiology, Yale School of Public Health, USA.

Journal of Clinical & Experimental Oncology
|January 28, 2026
PubMed
Abstract

Insights

This umbrella review of systematic reviews on newly diagnosed multiple myeloma (NDMM) found evidence for several treatments but identified significant weaknesses in existing reviews, highlighting the need for improved quality in published research.

Area of Science:

  • Hematology
  • Oncology
  • Evidence Synthesis

Background:

  • Multiple systematic reviews exist on treatment efficacy for newly diagnosed multiple myeloma (NDMM).
  • An umbrella review synthesizes existing systematic reviews to provide a broad overview of evidence and identify research gaps.
  • Evaluating the quality of existing systematic reviews is crucial for reliable clinical decision-making.

Purpose of the Study:

  • To conduct an umbrella review of systematic reviews on NDMM treatment efficacy.
  • To assess the current body of evidence at the review level.
  • To identify weaknesses and potential biases in existing systematic reviews.

Main Methods:

  • Systematic search for systematic reviews on NDMM interventions across multiple databases (1990-2023).
  • Assessment of review quality, data abstraction, meta-analytic approaches, and study selection.
  • Identification of concerning issues that may compromise review validity.

Main Results:

  • Eighty-seven systematic reviews were included; only seven assessed evidence strength.
  • Moderate to high evidence supports bortezomib-based induction, daratumumab, and lenalidomide maintenance.
  • No reviews evaluated CAR T-cell therapy or bispecific antibodies; five concerning issues were identified in existing reviews.

Conclusions:

  • Existing systematic reviews on NDMM treatment efficacy have notable weaknesses.
  • Further scrutiny of systematic reviews in multiple myeloma is warranted.
  • The quality of evidence synthesis in NDMM requires improvement to ensure reliable findings.

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