Evidence map›Paper›PMID 38904124›Full record

Observational studyBMJ open2024

10-year multimorbidity patterns among people with and without rheumatic and musculoskeletal diseases: an observational cohort study using linked electronic health records from Wales, UK.

Farideh Jalali-Najafabadi, Rowena Bailey, Jane Lyons, Ashley Akbari, Thamer Ba Dhafari, Narges Azadbakht, James Rafferty, Alan Watkins, Glen Philip Martin, John Bowes and 3 more

Abstract readObservational Study
In one paragraph

Observational study in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

13 authors.

Farideh Jalali-NajafabadiCentre for Genetics and Genomics Versus Arthritis, Centre for Musculoskeletal Research, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK farideh.jalali@manchester.ac.uk.ORCID 0000-0003-4895-4578
Rowena BaileyPopulation Data Science, Swansea University Medical School, Swansea, UK.
Jane LyonsPopulation Data Science, Swansea University Medical School, Swansea, UK.ORCID 0000-0002-4407-770X
Ashley AkbariPopulation Data Science, Swansea University Medical School, Swansea, UK.ORCID 0000-0003-0814-0801
Thamer Ba DhafariDivision of Informatics, Imaging and Data Science, School of Health Science, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.
Narges AzadbakhtDivision of Informatics, Imaging and Data Science, School of Health Science, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.
James RaffertyPopulation Data Science, Swansea University Medical School, Swansea, UK.
Alan WatkinsPopulation Data Science, Swansea University Medical School, Swansea, UK.ORCID 0000-0003-3804-1943
Glen Philip MartinDivision of Informatics, Imaging and Data Science, School of Health Science, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.ORCID 0000-0002-3410-9472
John BowesCentre for Genetics and Genomics Versus Arthritis, Centre for Musculoskeletal Research, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK.
Ronan A LyonsPopulation Data Science, Swansea University Medical School, Swansea, UK.ORCID 0000-0001-5225-000X
Anne BartonCentre for Genetics and Genomics Versus Arthritis, Centre for Musculoskeletal Research, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK.ORCID 0000-0003-3316-2527
Niels PeekDivision of Informatics, Imaging and Data Science, School of Health Science, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.

Funding

Medical Research Council MR/V028367/1Wellcome Trust
6 · The paper itself

Abstract

objectivesTo compare the patterns of multimorbidity between people with and without rheumatic and musculoskeletal diseases (RMDs) and to describe how these patterns change by age and sex over time, between 2010 and 2019.

participants103 426 people with RMDs and 2.9 million comparators registered in 395 Wales general practices (GPs). Each patient with an RMD aged 0-100 years between January 2010 and December 2019 registered in Clinical Practice Research Welsh practices was matched with up to five comparators without an RMD, based on age, gender and GP code. PRIMARY OUTCOME MEASURES: The prevalence of 29 Elixhauser-defined comorbidities in people with RMDs and comparators categorised by age, gender and GP practices. Conditional logistic regression models were fitted to calculate differences (OR, 95% CI) in associations with comorbidities between cohorts.

resultsThe most prevalent comorbidities were cardiovascular risk factors, hypertension and diabetes. Having an RMD diagnosis was associated with a significantly higher odds for many conditions including deficiency anaemia (OR 1.39, 95% CI (1.32 to 1.46)), hypothyroidism (OR 1.34, 95% CI (1.19 to 1.50)), pulmonary circulation disorders (OR 1.39, 95% CI 1.12 to 1.73) diabetes (OR 1.17, 95% CI (1.11 to 1.23)) and fluid and electrolyte disorders (OR 1.27, 95% CI (1.17 to 1.38)). RMDs have a higher proportion of multimorbidity (two or more conditions in addition to the RMD) compared with non-RMD group (81% and 73%, respectively in 2019) and the mean number of comorbidities was higher in women from the age of 25 and 50 in men than in non-RMDs group.

conclusionPeople with RMDs are approximately 1.5 times as likely to have multimorbidity as the general population and provide a high-risk group for targeted intervention studies. The individuals with RMDs experience a greater load of coexisting health conditions, which tend to manifest at earlier ages. This phenomenon is particularly pronounced among women. Additionally, there is an under-reporting of comorbidities in individuals with RMDs.

Indexed as

Electronic Health RecordsMultimorbidityMusculoskeletal DiseasesRheumatic DiseasesAdolescentAdultAgedAged, 80 and overChildChild, PreschoolCohort StudiesFemaleHumansInfantInfant, NewbornMaleElectronic Health RecordsEpidemiologyRHEUMATOLOGY

Identifiers

PMID38904124
PMCPMC11191776

What OpenQuestion holds

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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.