Evidence map›Paper›PMID 30713716›Full record

ArticleRMD open2019

Predicting adherence to therapy in rheumatoid arthritis, psoriatic arthritis or ankylosing spondylitis: a large cross-sectional study.

Josef S Smolen, Dafna Gladman, H Patrick McNeil, Philip J Mease, Joachim Sieper, Maja Hojnik, Pascal Nurwakagari, John Weinman

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in RMD open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
7.4field-weighted citation impact, top 2% of its field
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

34 citing papers in PubMed, 1 synthesis or guideline pooled it, 66 citations in OpenAlex.

  1. Guideline
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  7. Medication adherence and real-world factors of first line induction treatment selection in ANCA-associated vasculitis.Sarcoidosis, vasculitis, and diffuse lung diseases : official journal of WASOG · 2025
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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

8 authors at 7 institutions in 6 countries.

Josef S SmolenDivision of Rheumatology, Department of Medicine III, Medical University of Vienna and Hietzing Hospital, Vienna, Austria.
Dafna GladmanDepartment of Medicine, Toronto Western Hospital, Toronto, Ontario, Canada.
H Patrick McNeilDepartment of Clinical Medicine, Faculty of Medicine and Health Sciences, Macquarie University, Sydney, New South Wales, Australia.
Philip J MeaseDepartment of Rheumatology, Swedish Medical Center and University of Washington, Seattle, Washington, USA.
Joachim SieperDepartment of Rheumatology, Charité Universitätsmedizin Berlin, Berlin, Germany.
Maja HojnikGlobal Medical Affairs Rheumatology, AbbVie s.r.o., Ljubljana, Slovenia.
Pascal NurwakagariMedical Department, AbbVie Deutschland GmbH & Co. KG, Wiesbaden, Germany.
John WeinmanInstitute of Pharmaceutical Science, King's College London, London, UK.
AbbVie (Germany) · DECharité - Universitätsmedizin Berlin · DEKing's College London · GBMacquarie University · AUMedical University of Vienna · ATSwedish Medical Center · USToronto Western Hospital · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This analysis explored the association of treatment adherence with beliefs about medication, patient demographic and disease characteristics and medication types in rheumatoid arthritis (RA), psoriatic arthritis (PsA) or ankylosing spondylitis (AS) to develop adherence prediction models. Methods: The population was a subset from ALIGN, a multicountry, cross-sectional, self-administered survey study in adult patients (n=7328) with six immune-mediated inflammatory diseases who were routinely receiving systemic therapy. Instruments included Beliefs about Medicines Questionnaire (BMQ) and 4-item Morisky Medication Adherence Scale (MMAS-4 Results: A total of 3390 rheumatological patients were analysed (RA, n=1943; PsA, n=635; AS, n=812). Based on the strongest significant associations, the adherence prediction models included type of treatment, age, race (RA and AS) or disease duration (PsA) and medication beliefs (RA and PsA, BMQ-General Conclusions: For the first time, simple medication adherence prediction models for patients with RA, PsA and AS are available, which may help identify patients at high risk of non-adherence to systemic therapies. Trial registration number: ACTRN12612000977875.

Indexed as

Drug MonitoringAdultAgedAntirheumatic AgentsArthritis, PsoriaticArthritis, RheumatoidCross-Sectional StudiesFemaleHealth Knowledge, Attitudes, PracticeHumansMaleMiddle AgedModels, StatisticalPrognosisPublic Health SurveillanceSelf ReportAntirheumatic Agentsadherenceankylosing spondylitisdisease-modifying antirheumatic drugspsoriatic arthritisrheumatoid arthritis

Identifiers

PMID30713716
PMCPMC6340591
OpenAlexW2909892789

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.