Evidence map›Paper›PMID 36229868›Full record

ArticleArthritis research & therapy2022

Comorbidity phenotypes and risk of mortality in patients with osteoarthritis in the UK: a latent class analysis.

Dawit T Zemedikun, Helena Lee, Krishnarajah Nirantharakumar, Karim Raza, Joht Singh Chandan, Janet M Lord, Thomas A Jackson

Open access · goldAbstract read
In one paragraph

Article in Arthritis research & therapy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 13% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

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  4. Observational
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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

7 authors at 3 institutions in 1 country.

Dawit T Zemedikun *Institute of Applied Health Research, University of Birmingham, Birmingham, UK.ORCID 0000-0003-3642-0456
Helena Lee *MRC-Versus Arthritis Centre for Musculoskeletal Ageing Research, Institute of Inflammation and Ageing, College of Medical and Dental Sciences, University of Birmingham, Queen Elizabeth Hospital, Edgbaston, Birmingham, B15 2WB, UK.ORCID 0000-0002-3178-9265
Krishnarajah NirantharakumarInstitute of Applied Health Research, University of Birmingham, Birmingham, UK.
Karim RazaMRC-Versus Arthritis Centre for Musculoskeletal Ageing Research, Institute of Inflammation and Ageing, College of Medical and Dental Sciences, University of Birmingham, Queen Elizabeth Hospital, Edgbaston, Birmingham, B15 2WB, UK.ORCID 0000-0003-1570-1232
Joht Singh ChandanInstitute of Applied Health Research, University of Birmingham, Birmingham, UK.ORCID 0000-0002-9561-5141
Janet M LordMRC-Versus Arthritis Centre for Musculoskeletal Ageing Research, Institute of Inflammation and Ageing, College of Medical and Dental Sciences, University of Birmingham, Queen Elizabeth Hospital, Edgbaston, Birmingham, B15 2WB, UK.ORCID 0000-0003-1030-6786
Thomas A JacksonMRC-Versus Arthritis Centre for Musculoskeletal Ageing Research, Institute of Inflammation and Ageing, College of Medical and Dental Sciences, University of Birmingham, Queen Elizabeth Hospital, Edgbaston, Birmingham, B15 2WB, UK. T.Jackson@bham.ac.uk.
Arthritis UK · GBUniversity of Birmingham · GBSandwell & West Birmingham Hospitals NHS Trust · GB

Funding

Department of HealthMedical Research Council MR/P021220/1
6 · The paper itself

Abstract

backgroundOsteoarthritis (OA) is a common chronic condition but its association with other chronic conditions and mortality is largely unknown. This study aimed to use latent class analysis (LCA) of 30 comorbidities in patients with OA and matched controls without OA to identify clusters of comorbidities and examine the associations between the clusters, opioid use, and mortality.

methodsA matched cohort analysis of patients derived from the IQVIA Medical Research Data (IMRD-UK) database between 2000 and 2019. 418,329 patients with newly diagnosed OA were matched to 243,170 patients without OA to identify comorbidity phenotypes. Further analysis investigated the effect of opioid use on mortality in individuals with OA and their matched controls.

resultsThe median (interquartile range (IQR)) number of comorbidities was 2 (1-4) and 1 (0-3) in the OA and control groups respectively. LCA identified six comorbidity phenotypes in individuals with and without OA. Clusters with a high prevalence of comorbidities were characterised by hypertension, circulatory, and metabolic diseases. We identified a comorbidity cluster with the aforementioned comorbidities plus a high prevalence of chronic kidney disease, which was associated with twice the hazard of mortality in hand OA with a hazard ratio (HR) (95% CI) of 2.53 (2.05-3.13) compared to the hazard observed in hip/knee OA subtype 1.33 (1.24-1.42). The impact of opioid use in the first 12 months on hazards of mortality was significantly greater for weak opioids and strong opioids across all groups HR (95% CI) ranging from 1.11 (1.07-11.6) to 1.80 (1.69-1.92)). There was however no evidence of association between NSAID use and altered risk of mortality.

conclusionThis study identified six comorbidity clusters in individuals with OA and matched controls within this cohort. Opioid use and comorbidity clusters were differentially associated with the risk of mortality. The analyses may help shape the development of future interventions or health services that take into account the impact of these comorbidity clusters.

Indexed as

Analgesics, OpioidOsteoarthritis, KneeAnti-Inflammatory Agents, Non-SteroidalComorbidityHumansLatent Class AnalysisPhenotypeUnited KingdomAnalgesics, OpioidAnti-Inflammatory Agents, Non-SteroidalComorbidityElectronic health recordsLatent class analysisOsteoarthritisPrimary care

Identifiers

PMID36229868
PMCPMC9559033
OpenAlexW4304890880

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.