Evidence map›Paper›PMID 31742642›Full record

ArticleRheumatology (Oxford, England)2020

Longitudinal clusters of pain and stiffness in polymyalgia rheumatica: 2-year results from the PMR Cohort Study.

Sara Muller, Rebecca Whittle, Samantha L Hider, John Belcher, Toby Helliwell, Chris Morton, Emily Hughes, Sarah A Lawton, Christian D Mallen

Open access · hybridAbstract read
In one paragraph

Article in Rheumatology (Oxford, England), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.7field-weighted citation impact, top 14% 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

13 citing papers in PubMed, 20 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 4 institutions in 1 country.

Sara MullerPrimary Care Centre Versus Arthritis, School for Primary, Community and Social Care, Keele University, Keele, UK.
Rebecca WhittlePrimary Care Centre Versus Arthritis, School for Primary, Community and Social Care, Keele University, Keele, UK.
Samantha L HiderPrimary Care Centre Versus Arthritis, School for Primary, Community and Social Care, Keele University, Keele, UK.
John BelcherEducation Research Centre, Wythenshawe Hospital, Manchester University NHS Foundation Trust, Manchester, UK.
Toby HelliwellPrimary Care Centre Versus Arthritis, School for Primary, Community and Social Care, Keele University, Keele, UK.
Chris MortonPrimary Care Centre Versus Arthritis, School for Primary, Community and Social Care, Keele University, Keele, UK.
Emily HughesKeele Clinical Trials Unit, School for Primary, Community and Social Care, Keele University, Keele, UK.
Sarah A LawtonPrimary Care Centre Versus Arthritis, School for Primary, Community and Social Care, Keele University, Keele, UK.
Christian D MallenPrimary Care Centre Versus Arthritis, School for Primary, Community and Social Care, Keele University, Keele, UK.
Arthritis UK · GBKeele University · GBManchester University NHS Foundation Trust · GBMidlands Partnership NHS Foundation Trust · GB

Funding

Department of Health RP_2014-04-026Department of Health RP-PG-0617-20005Versus Arthritis 19634
6 · The paper itself

Abstract

objectivesTo investigate potential subgroups of primary care-diagnosed patients with PMR based on self-reported pain and stiffness severity over time.

methodsA total of 652 people with an incident PMR diagnosis were recruited from English general practices and completed a baseline postal questionnaire. They were followed up with a further six questionnaires over a 2 year period. A total of 446 people completed the 2 year follow-up. Pain and stiffness were reported on a 0-10 numerical rating scale. Latent class growth analysis was used to estimate the joint trajectories of pain and stiffness over time. A combination of statistical and clinical considerations was used to choose the number of clusters. Characteristics of the classes were described.

resultsFive clusters were identified. One cluster represented the profile of 'classical' PMR symptoms and one represented sustained symptoms that may not be PMR. The other three clusters displayed a partial recovery, a recovery followed by worsening and a slow, but sustained recovery. Those displaying classical PMR symptoms were in better overall health at diagnosis than the other groups.

conclusionPMR is a heterogeneous condition, with a number of phenotypes. The spectrum of presentation, as well as varying responses to treatment, may be related to underlying health status at diagnosis. Future research should seek to stratify patients at diagnosis to identify those likely to have a poor recovery and in need of an alternative treatment pathway. Clinicians should be aware of the different experiences of patients and monitor symptoms closely, even where there is initial improvement.

Indexed as

AgedAged, 80 and overFemaleHumansMaleMiddle AgedPainPolymyalgia RheumaticaPrognosisSurveys and Questionnairesclusterspainpolymyalgia rheumaticaprognosisstiffness

Identifiers

PMID31742642
PMCPMC7382596
OpenAlexW2991426373

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.