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Establishment of a Human Multiple Myeloma Xenograft Model in the Chicken to Study Tumor Growth, Invasion and Angiogenesis

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Published on: May 1, 2015

Multiple Myeloma in the Global Burden of Disease Study: Statistical Analysis and Trend Forecast From 1990 to 2021

Piaorong Zeng¹, Liucui Chen², Liu Zhen¹

¹Department of Hematology, First Affiliated Hospital of Jinan University, Guangzhou, China.

Public Health Nursing (Boston, Mass.)

|February 25, 2026

Abstract

Introduction:

This study investigates the impact of multiple myeloma (MM) on global health using data from the Global Burden of Disease Study (1990-2021). We aimed to analyze the incidence, prevalence, and mortality rates, and disability-adjusted life years (DALYs) associated with MM across various demographics and regions.

Method:

Advanced statistical techniques, including ARIMA and Bayesian models, age-period-cohort analysis, frontier analysis, decomposition analysis, and joinpoint regression analysis, were conducted to explore these trends.

Results:

The primary study findings indicated a significant rise in incidence and prevalence rates of MM, particularly in older populations, along with notable regional disparities.

Conclusions:

Our study results underscore the urgent need for targeted interventions and resource allocation to mitigate the growing burden of MM, offering policymakers and healthcare providers valuable insights into the potential trends in disease management and prevention strategies.

Keywords:

ARIMA forecasting age‐period‐cohort analysis global burden of disease metabolic risk factors multiple myeloma

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