Evidence map›Paper›PMID 34162435›Full record

ArticleBMC rheumatology2021

Central Aspects of Pain in Rheumatoid Arthritis (CAP-RA): protocol for a prospective observational study.

Onosi S Ifesemen, Daniel F McWilliams, Eamonn Ferguson, Richard Wakefield, Kehinde Akin-Akinyosoye, Deborah Wilson, Dorothy Platts, Susan Ledbury, David A Walsh

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in BMC rheumatology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04515589 (Central Aspects of Pain in Rheumatoid Arthritis), which is not on this map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.5field-weighted citation impact, top 34% 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.

NCT04515589 completednot on this map

Central Aspects of Pain in Rheumatoid Arthritis

TypeobservationalSponsorUniversity of NottinghamRan2021 to 2023Enrolled95ConditionsRheumatoid Arthritis
3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 8 citations in OpenAlex.

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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

9 authors at 5 institutions in 1 country.

Onosi S IfesemenDivision of Rheumatology, Orthopaedics and Dermatology, School of Medicine, University of Nottingham, Nottingham, UK. mbxosi@nottingham.ac.uk.ORCID http://orcid.org/0000-0002-4234-7905
Daniel F McWilliamsDivision of Rheumatology, Orthopaedics and Dermatology, School of Medicine, University of Nottingham, Nottingham, UK.
Eamonn FergusonPain Centre Versus Arthritis, University of Nottingham, Nottingham, UK.
Richard WakefieldLeeds Institute of Rheumatic and Musculoskeletal Medicine and NIHR Leeds Biomedical Research Centre, University of Leeds, and Leeds NHS Teaching Hospitals Trust, Leeds, UK.
Kehinde Akin-AkinyosoyeCentre for Epidemiology Versus Arthritis, Centre for Musculoskeletal Research, Division of Musculoskeletal and Dermatological Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.
Deborah WilsonRheumatology, Sherwood Forest Hospital NHS Foundation Trust, Sutton-in -Ashfield, Nottinghamshire, UK.
Dorothy PlattsIndependent Consultant, Nottingham, United Kingdom.
Susan LedburyIndependent Consultant, Nottingham, United Kingdom.
David A WalshDivision of Rheumatology, Orthopaedics and Dermatology, School of Medicine, University of Nottingham, Nottingham, UK.
Nottingham University Hospitals NHS Trust · GBUniversity of Nottingham · GBSherwood Forest Hospitals NHS Foundation Trust · GBUniversity of Leeds · GBUniversity of Manchester · GB

Funding

Medical Research Council MC_PC_19095Pfizer UK 51708879Versus Arthritis 22462
6 · The paper itself

Abstract

backgroundPain and fatigue are persistent problems in people with rheumatoid arthritis. Central sensitisation (CS) may contribute to pain and fatigue, even when treatment has controlled inflammatory disease. This study aims to validate a self-report 8-item questionnaire, the Central Aspects of Pain in Rheumatoid Arthritis (CAP-RA) questionnaire, developed to measure central pain mechanisms in RA, and to predict patient outcomes and response to treatment. A secondary objective is to explore mechanisms linking CS, pain and fatigue in people with RA. METHODS/

designThis is a prospective observational cohort study recruiting 250 adults with active RA in secondary care. The CAP-RA questionnaire, demographic data, medical history, and patient reported outcome measures (PROMs) of traits associated with central sensitization will be collected using validated questionnaires. Quantitative sensory testing modalities of pressure pain detection thresholds, temporal summation and conditioned pain modulation will be indices of central sensitization, and blood markers, swollen joints and ultrasound scans will be indices of inflammation. Primary data collection will be at baseline and 12 weeks. The test-retest reliability of CAP-RA questionnaire will be determined 1 week after the baseline visit. Pain and fatigue data will be collected weekly via text messages for 12 weeks. CAP-RA psychometric properties, and predictive validity for outcomes at 3 months will be evaluated. DISCUSSION: This study will validate a simple self-report questionnaire against psychophysical indices of central sensitization and patient reported outcome measures of traits associated with CS in a population of individuals with active RA. The application of this instrument in the clinical environment could provide a mechanism-based stratification tool to facilitate the provision of targeted therapy to individuals with pain and fatigue in RA, alongside treatments that target joint inflammation.

trial registrationClinicaltrials.gov NCT04515589 . Date of registration 17 August 2020.

Indexed as

Central sensitizationFatigueInflammationPainRheumatoid arthritis

Identifiers

PMID34162435
PMCPMC8223274
OpenAlexW3174337621

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.