Evidence map›Paper›PMID 42614964›Full record

ReviewRheumatology advances in practice2026

Patient-reported outcome measures (PROMs) and clinical decision-making in inflammatory rheumatic conditions: a systematic review.

Jake Grange, James A Prior, Jon Packham, Max Somer, Helen Parsons, Kirstie L Haywood

Abstract readReview
In one paragraph

Review in Rheumatology advances in practice, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

6 authors.

Jake GrangeWarwick Medical School, University of Warwick, Coventry, UK.ORCID https://orcid.org/0009-0000-5715-1342
James A PriorDepartment of Rheumatology, Haywood Hospital, Midlands Partnership University NHS Foundation Trust, Staffordshire, UK.ORCID https://orcid.org/0000-0001-9213-2796
Jon PackhamDepartment of Rheumatology, Haywood Hospital, Midlands Partnership University NHS Foundation Trust, Staffordshire, UK.ORCID https://orcid.org/0000-0001-5531-1680
Max SomerWarwick Medical School, University of Warwick, Coventry, UK.ORCID https://orcid.org/0009-0000-7458-4473
Helen ParsonsWarwick Medical School, University of Warwick, Coventry, UK.ORCID https://orcid.org/0000-0002-2765-3728
Kirstie L HaywoodWarwick Medical School, University of Warwick, Coventry, UK.ORCID https://orcid.org/0000-0002-5405-187X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To examine the role of patient-reported outcome measures (PROMs) in clinical decision-making across three inflammatory arthritides: RA, PsA and axial SpA (axSpA). Methods: We conducted a systematic review of four online medical literature databases (MEDLINE, Embase, CINAHL, Cochrane Central) from inception to February 2025. Abstracts and full texts were independently double-assessed. Articles examining the use and influence of PROMs on RA, PsA and axSpA clinical decision-making were included, with extracted data narratively synthesised (PROSPERO registration: CRD42024550525). Results: From 16 950 identified studies, 29 were included ( Conclusion: PROMs capture valuable patient data and show potential to support clinical decision-making, particularly in RA patients. Current PROM implementation methods are varied. Standardisation could maximise the clinical value of PROM data that, if acted upon, could enhance patient care and outcomes. However, service and clinician barriers, combined with poor standardisation, currently risk these data being underutilised.

Indexed as

axSpAclinical decision-makingpatient-reported outcome measures (PROMs)PsARAreview

Identifiers

PMID42614964
PMCPMC13484879

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Registered trials

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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.