Evidence map›Paper›PMID 42115579›Full record

ArticleClinical rheumatology2026

Assessing rheumatoid arthritis prevalence from 1990 to 2040: viewing global inequities through the lens of sociodemographic development.

Amir Khanmirzaei, Meysam Olfatifar, Gelareh Azarinoush, Mohammadreza Azizkhani, Kimia Jazi, Mohammad Aghaali, Maryam Masoumi

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Article in Clinical rheumatology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Amir KhanmirzaeiSchool of Medicine, Shahroud University of Medical Sciences, Shahroud, Iran.
Meysam OlfatifarGastroenterology and Hepatology Diseases Research Center, Qom University of Medical Sciences, Qom, Iran. ol.meysam92@gmail.com.ORCID http://orcid.org/0000-0001-5011-1380
Gelareh AzarinoushClinical Research and Development Unit, Shahid Beheshti Hospital, Qom University of Medical Sciences, Qom, Iran.
Mohammadreza AzizkhaniClinical Research and Development Unit, Shahid Beheshti Hospital, Qom University of Medical Sciences, Qom, Iran.
Kimia JaziClinical Research and Development Unit, Shahid Beheshti Hospital, Qom University of Medical Sciences, Qom, Iran.
Mohammad AghaaliDepartment of Family and Community Medicine, School of Medicine, Qom University of Medical Sciences, Qom, Iran.
Maryam MasoumiClinical Research and Development Unit, Shahid Beheshti Hospital, Qom University of Medical Sciences, Qom, Iran. dr.masoumi2017@gmail.com.

Funding

Qom University of Medical Science 3821
6 · The paper itself

Abstract

objectivesRheumatoid arthritis (RA) imposes a substantial global health burden, contributing significantly to chronic disability and escalating healthcare costs. Accurate, long-term prevalence forecasts are essential to inform strategic planning for rheumatology services and health resource allocation.

methodsHence, we developed and calibrated a sex-specific illness-death model (IDM) at global, regional, and national scales using GBD data (1990-2021). To uncover underlying epidemiological patterns, we augmented our projections with a frontier analysis that evaluates the efficiency of RA burden relative to sociodemographic index (SDI).

resultsWe project the global age-standardized prevalence rate (ASPR) will rise by 6.3% to 222.06 per 100,000 (95% CI, 220.49-223.6) by 2040. While females bear a higher absolute prevalence, the growth rate is projected to be faster in males (8.75% vs. 5.67%). Significant disparities exist at regional and national levels: Andean Latin America and Peru are anticipated to have the highest ASPRs, while Oceania and Indonesia are projected to have the lowest. An increasing trend is projected globally, across 18 GBD regions, and in 167 nations. Critically, frontier analysis reveals that higher sociodemographic development frequently coincides with a larger "RA efficiency gap," indicating economic progress alone is insufficient for disease control.

conclusionTherefore, mitigating the projected rise in RA requires strategies that move beyond relying on general economic advancement. Future health policies must actively integrate targeted prevention of modifiable lifestyle risks and bridge healthcare access gaps to effectively curb the coming global burden. Key Points • Projects a 6.3% global increase in RA prevalence by 2040, with faster growth in males. • Identifies an "RA efficiency gap" where higher development correlates with higher burden. • Forecasts severe geographic disparities, with Andean Latin America having the highest burden. • Concludes that targeted prevention, not just economic progress, is needed to curb future burden.

Indexed as

Arthritis, RheumatoidGlobal HealthFemaleHumansMalePrevalenceSocioeconomic Disparities in HealthAge-standardized prevalence rate (ASPR)Epidemiological forecastingFrontier analysisIllness–death model (IDM)Rheumatoid arthritis (RA)

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.