Evidence map›Paper›PMID 35042730›Full record

ArticleRMD open2022

Comprehensive assessment of multimorbidity burden in a population-based cohort of patients with rheumatoid arthritis.

Cynthia S Crowson, Tina M Gunderson, Hayley J Dykhoff, Elena Myasoedova, Elizabeth J Atkinson, Vanessa L Kronzer, Caitrin M Coffey, John M Davis Iii

Open access · goldAbstract read
In one paragraph

Article in RMD open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
4.2field-weighted citation impact, top 5% 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

25 citing papers in PubMed, 29 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

8 authors at 3 institutions in 1 country.

Cynthia S CrowsonDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA crowson@mayo.edu.ORCID 0000-0001-5847-7475
Tina M GundersonDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA.
Hayley J DykhoffMayo Clinic Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, Minnesota, USA.
Elena MyasoedovaDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA.ORCID 0000-0003-2006-1436
Elizabeth J AtkinsonDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA.
Vanessa L KronzerDivision of Rheumatology, Department of Internal Medicine, Mayo Clinic, Rochester, Minnesota, USA.ORCID 0000-0002-7489-3134
Caitrin M CoffeyDivision of Rheumatology, Department of Internal Medicine, Mayo Clinic, Rochester, Minnesota, USA.
John M Davis IiiDivision of Rheumatology, Department of Internal Medicine, Mayo Clinic, Rochester, Minnesota, USA.
Mayo Clinic · USMayo Clinic in Florida · USMayo Clinic in Arizona · US

Funding

HEART DISEASE IN RHEUMATOID ARTHRITISR01AR046849 · NIAMS · MAYO CLINIC ROCHESTER · PI CROWSON, CYNTHIA S · 2000 to 2022
$11.3M
Rochester Epidemiology ProjectR01AG034676 · NIA · MAYO CLINIC ROCHESTER · PI ROCCA, WALTER A, ST SAUVER, JENNIFER LYNN · 2010 to 2019
$9.5M
Role of Systemic Inflammation in Cognitive Decline: Rheumatoid Arthritis as a PrototypeR01AG068192 · NIA · MAYO CLINIC ROCHESTER · PI Elena Myasoedova · 2020 to 2026
$4.4M
Interdisciplinary Infrastructure for Aging Research: Rochester Epidemiology ProjectR33AG058738 · NIA · MAYO CLINIC ROCHESTER · PI LEBRASSEUR, NATHAN K, OLSON, JANET E · 2020 to 2022
$2.4M
Interdisciplinary Infrastructure for Aging Research: Rochester Epidemiology ProjectR21AG058738 · NIA · MAYO CLINIC ROCHESTER · PI LEBRASSEUR, NATHAN K, OLSON, JANET E · 2018 to 2019
$437k
NIAMS NIH HHS R01 AR046849NIA NIH HHS R01 AG034676NIA NIH HHS R01 AG068192NIA NIH HHS R21 AG058738NIA NIH HHS R33 AG058738
6 · The paper itself

Abstract

objectiveTo comprehensively assess multimorbidity burden in patients with rheumatoid arthritis (RA) in order to unify the multimorbidity definition for RA research and clinical practice.

methodsIn this population-based study, residents of eight Minnesota counties with prevalent RA on 1 January 2015 were identified. Age, sex and county-matched non-RA comparators were selected from the same population. Diagnostic codes were retrieved for 5 years before 1 January 2015. Using two codes ≥30 days apart, 44 previously defined morbidities and 78 non-overlapping chronic disease categories based on Clinical Classification Software were defined. Prevalence of each morbidity in the RA versus non-RA cohorts was compared using false discovery rate to adjust for multiple comparisons. Morbidities more common in RA than non-RA and those with prevalence ≥5% were retained.

results1643 patients with RA and 1643 non-RA subjects (72% women; mean age 63.1 years) were studied. Using the 44 morbidities, multimorbidity (defined as 2+ morbidities) was present in 1411 (86%) of RA and 1164 (71%) of non-RA subjects (p<0.001) with 5+ morbidities present in 907 (55%) of RA and 619 (38%) of non-RA (p<0.001). Patients with RA had significantly higher prevalence of 24 of the 44 morbidities compared with non-RA, especially interstitial lung disease, fibromyalgia, osteoarthritis and osteoporosis. Among the additional 78 categories, 7 were significantly higher in RA than non-RA, including organic sleep disorders, vitamin D deficiency and foot ulcers.

conclusionPatients with RA have a higher prevalence of multimorbidity compared with non-RA subjects. These results confirm the list of 44 morbidities and add several other morbidities of interest in RA.

Indexed as

Arthritis, RheumatoidOsteoarthritisCohort StudiesFemaleHumansMaleMiddle AgedMultimorbidityPrevalencecardiovascular diseasesepidemiologyrheumatoid arthritis

Identifiers

PMID35042730
PMCPMC8768925
OpenAlexW4206148515

What OpenQuestion holds

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LicenceCC BY-NC
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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.