Evidence map›Paper›PMID 42476631›Full record

ArticleRMD open2026

Medication adherence in Behçet's syndrome: real-world data from a tertiary referral cohort.

Rosaria Talarico, Federica Di Cianni, Antonello Sulis, Giulia Lubrano Lavadera, Diana Marinello, Marta Mosca

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Article in RMD open, 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

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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

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3 · Its place in the literature

Who cites it

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Rosaria TalaricoRheumatology Unit, Azienda Ospedaliero-Universitaria Pisana, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy sara.talarico76@gmail.com.ORCID http://orcid.org/0000-0003-4268-9611
Federica Di CianniRheumatology Unit, Azienda Ospedaliero-Universitaria Pisana, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.
Antonello SulisRheumatology Unit, Azienda Ospedaliero-Universitaria Pisana, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.
Giulia Lubrano LavaderaRheumatology Unit, Azienda Ospedaliero-Universitaria Pisana, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.
Diana MarinelloRheumatology Unit, Azienda Ospedaliero-Universitaria Pisana, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.ORCID http://orcid.org/0000-0002-5537-6043
Marta MoscaRheumatology Unit, Azienda Ospedaliero-Universitaria Pisana, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.ORCID http://orcid.org/0000-0001-5937-4574

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesMedication adherence is a key determinant of treatment effectiveness in chronic inflammatory diseases but data in Behçet's syndrome (BS) remain limited. This study evaluated medication adherence in a real-world cohort of patients with BS and explored demographic and clinical factors associated with reduced adherence.

methodsWe conducted a monocentric cross-sectional study including 125 patients with BS followed at a tertiary referral centre. Adherence was assessed using the validated 8-item Morisky Medication Adherence Scale (MMAS-8). Patients were classified as having high (score=8), intermediate (score 6-<8) or low adherence (score<6). Disease activity was evaluated using the Behçet's Disease Current Activity Form and the Behçet's Disease Activity Index. Associations between adherence and clinical variables were analysed using Spearman correlation and non-parametric tests.

resultsThe mean MMAS-8 Score was 6.82±1.32. High adherence was observed in 29.6% of patients, intermediate adherence in 48.8% and low adherence in 21.6%. Lower adherence was more frequent among patients in the lower age quartiles. No significant associations were observed between adherence and sex, disease duration, disease activity indices or treatment class.

conclusionMedication adherence in BS appeared generally satisfactory, although a relevant proportion of patients reported suboptimal adherence. These findings confirm, in a BS-specific real-world setting, previously reported associations between age and medication adherence observed in chronic diseases. Routine adherence assessment may help identify patients at higher risk of poor treatment compliance and support personalised management strategies.

Indexed as

Behcet SyndromeDrug MonitoringImmunosuppressive AgentsMedication AdherenceAdultCross-Sectional StudiesFemaleHumansMaleMiddle AgedTertiary Care CentersImmunosuppressive AgentsBehcet SyndromeOutcome Assessment, Health CareRare DiseasesTreatment

Identifiers

PMID42476631
PMCPMC13386071

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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.