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May 30, 2026Journal of Clinical Oncology0 citations

Multiple myeloma incidence, prevalence, and mortality burden in the United States: Retrospective epidemiological trends and burden (1990–2023) with machine learning-based projections to 2050.

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MSM D Abu SayedIKIbrahim KhalilACAnika Chowdhury

Key Points

  • This study aims to analyze the incidence, prevalence, and mortality of multiple myeloma in the US from 1990 to 2023 and project future trends to 2050.
  • Extracted age-standardized rates from Global Burden of Disease database stratified by sex for 1990–2023.
  • Applied estimated annual percentage change (EAPC) and ARIMA forecasting for trend analysis and future projections.
  • Evaluated mortality and incidence trends using linear regression on log-transformed age-standardized rates.
  • Age-standardized DALYs decreased from 74.26 to 55.94 with an EAPC of -1.06% for both sexes, faster in females (-1.19%).
  • Age-standardized death rates dropped from 3.24 to 2.72 (EAPC -0.69%), with females showing a stronger decline (-0.83%).
  • Projected DALYs to decline to ~32.55 by 2050, highlighting gains from therapeutic advancements while addressing the growing population burden.

Abstract

e19546 Background: Multiple myeloma, a plasma cell malignancy, imposes a substantial disease burden in the United States, with improvements in survival driven by novel therapies yet persistent challenges in incidence and long-term outcomes. This study examined age-standardized rates (ASRs) of DALYs, deaths, incidence, and prevalence from 1990 to 2023, quantified trends via estimated annual percentage change (EAPC), and projected future burden to 2050 through ARIMA time-series forecasting. Methods: Age-standardized rates per 100,000 population were extracted from the Global Burden of Disease 2023 database for the United States, stratified by sex (Both, Female, Male). Historical trends (1990–2023) were evaluated using EAPC from linear regression on log-transformed ASRs. Future projections (2024–2050) were generated with ARIMA models fitted to historical time series, providing point estimates and 95% prediction intervals (PI). Results: From 1990 to 2023, age-standardized DALYs (Both sexes) declined from 74.26 (95% UI: 68.16–81.47) to 55.94 (95% UI: 50.99–60.56), with an EAPC of -1.06% (95% CI: -1.18 to -0.94); females showed a steeper reduction (EAPC -1.19%, 95% CI: -1.34 to -1.05) than males (EAPC -1.03%, 95% CI: -1.13 to -0.93). Age-standardized death rates decreased from 3.24 to 2.72 (EAPC -0.69%, 95% CI: -0.80 to -0.58), with stronger declines in females (EAPC -0.83%) than males (EAPC -0.67%). Incidence fell modestly from 4.33 to 3.95 (EAPC -0.47%, 95% CI: -0.63 to -0.30), while prevalence remained nearly stable (EAPC -0.08%, 95% CI: -0.34 to 0.18), reflecting substantial survival gains from therapeutic advances. ARIMA forecasts indicate accelerated declines in age-standardized DALYs (Both: from 55.07 in 2024 toward ~32.55 by 2050, with widening intervals at extended horizons), deaths (to ~1.76), and incidence (to ~2.68), while prevalence shows gradual erosion or stabilization. Conclusions: Age-standardized burden of multiple myeloma in the US decreased substantially from 1990–2023 across DALYs, mortality, and incidence, with more pronounced improvements in females and notable survival-driven gains. Projections to 2050 anticipate continued reductions in key metrics, underscoring the impact of therapeutic innovations, though persistent absolute cases due to aging populations emphasize the need for sustained research into prevention and equitable access to care. Measure Sex EAPC Lower 95%CI Upper 95%CI DALYs Both -1.06 -1.18 -0.94 DALYs Female -1.19 -1.34 -1.05 DALYs Male -1.03 -1.13 -0.93 Deaths Both -0.69 -0.8 -0.58 Deaths Female -0.83 -0.97 -0.69 Deaths Male -0.67 -0.77 -0.58 Incidence Both -0.47 -0.63 -0.3 Incidence Female -0.61 -0.8 -0.42 Incidence Male -0.42 -0.57 -0.27 Prevalence Both -0.08 -0.34 0.18 Prevalence Female -0.28 -0.56 -0.01 Prevalence Male 0.06 -0.2 0.31

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Sayed et al. (2026) studied this question.

synapsesocial.com/papers/6a1a80c00307b78509432b39https://doi.org/10.1200/jco.2026.44.16_suppl.e19546
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