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ArticleRheumatology international2026

Global inequities in biologic and targeted DMARD use in rheumatoid arthritis: cross-sectional data from the international COVAD-2 cohort.

Nelly Ziade, Ihsane Hmamouchi, Marc Moussallem, Bendy Lemon Salameh, Praggya Yaadav, Ashima Makol, Marcin Milchert, Tsvetelina Velikova, Ioannis Parodis, Elena Nikiphorou and 3 more

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Article in Rheumatology international, 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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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Nelly Ziade *Rheumatology, Saint-Joseph University, Beirut, Lebanon. nelly.zoghbi@usj.edu.lb.ORCID http://orcid.org/0000-0002-4479-7678
Ihsane HmamouchiFaculty of Medicine, Health Sciences Research Center (CReSS), International University of Rabat (UIR), Rabat, Morocco.ORCID http://orcid.org/0000-0003-4402-5034
Marc MoussallemRheumatology, Saint-Joseph University, Beirut, Lebanon.
Bendy Lemon SalamehRheumatology, Saint-Joseph University, Beirut, Lebanon.
Praggya YaadavMaharashtra Institute of Medical Sciences and Research, Latur, Maharashtra, India.ORCID http://orcid.org/0000-0003-4372-2540
Ashima MakolDivision of Rheumatology, Mayo Clinic, Rochester, MN, USA.ORCID http://orcid.org/0000-0002-8748-898X
Marcin MilchertDepartment of Internal Medicine, Rheumatology, Diabetology, Geriatrics and Clinical Immunology with Gastroenterology, Pomeranian Medical University, Szczecin, Poland.ORCID http://orcid.org/0000-0002-0943-8768
Tsvetelina VelikovaLaboratory of Clinical Immunology, Faculty of Medicine, Lozenetz University Hospital, St. Kliment Ohridski University, Sofia, Bulgaria.ORCID http://orcid.org/0000-0002-0593-1272
Ioannis ParodisDivision of Rheumatology, Department of Medicine, Solna, Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden.ORCID http://orcid.org/0000-0002-4875-5395
Elena NikiphorouCentre for Rheumatic Diseases, Rheumatology Department, King's College London, King's College Hospital, London, UK.ORCID http://orcid.org/0000-0001-6847-3726
Vikas Agarwal *Department of Clinical Immunology and Rheumatology, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, India.ORCID http://orcid.org/0000-0002-6189-340X
Latika GuptaDepartment of Rheumatology, Royal Wolverhampton Hospitals NHS Trust, Wolverhampton, UK.ORCID http://orcid.org/0000-0003-2753-2990
COVAD Study Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDespite improvement in treatment, rheumatoid arthritis (RA) management remains inconsistent.

aimsTo evaluate the worldwide disparities in the use of biological and targeted molecules (advanced) RA therapies, focusing on differences across continents and socioeconomic strata, and to identify factors associated with their utilisation.

methodsCross-sectional analysis of the international COVAD-2 cohort, including demographics, socioeconomic factors, disease characteristics, patient-reported outcomes, and treatments. Primary outcomes assessed treatment distribution by continent, secondary outcomes evaluated distribution by Human Development Index (HDI), with predictors analysed using multivariable logistic regression.

resultsAt the time of analysis, COVAD2 included 10,739 participants; 2007 had RA, 1997 with geographical data included in this study (mean age 50.9 years, 88.1% women). Most patients came from Europe (39.4%) and Asia (24.8%); 61.3% and 23.7% were from very high- and high-HDI countries, respectively. Overall, 29.6% of patients used advanced therapies, with the highest rate in Europe (44.0%), followed by North America and Oceania (33.9%), South America (31.1%), Asia (11.7%), and Africa (5.3%) (p < 0.001). Usage correlated strongly with HDI: 2.7% in low-HDI to 38.8% in very-high-HDI countries (Compared to very-high income, Odds Ratio for high 0.561 (95% CI 0.403;0.782), for medium 0.288 (95% CI 0.153;0.539), and for low income 0.275 (95% CI 0.034;2.199); p < 0.001). Regions with limited access relied more on glucocorticoids. Disparities across continents and HDI categories remained after adjusting for confounders(demographic characteristics, disease activity, comorbidities, and patient-reported outcomes.

conclusionMarked continent- and HDI-based inequities in biologic and targeted DMARD use persist globally, demanding coordinated action from the rheumatology community to ensure equitable RA care across resource settings.

Indexed as

Antirheumatic AgentsArthritis, RheumatoidBiological ProductsHealthcare DisparitiesAdultCross-Sectional StudiesFemaleGlobal HealthHumansMaleMiddle AgedSocioeconomic Disparities in HealthSocioeconomic FactorsAntirheumatic AgentsBiological ProductsAntirheumatic agentsArthritis, rheumatoidAutoimmune diseasesBiological productsGlobal healthHealth policyHealth services accessibilitySocioeconomic factors, cross-sectional studiesTherapy, equity, healthcare disparities

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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.