Evidence map›Paper›PMID 33032999›Full record

ArticleAnnals of the rheumatic diseases2021

Burden and trajectory of multimorbidity in rheumatoid arthritis: a matched cohort study from 2006 to 2015.

Bryant R England, Punyasha Roul, Yangyuna Yang, Harlan Sayles, Fang Yu, Kaleb Michaud, Fenglong Xie, Jeffrey R Curtis, Ted R Mikuls

Open access · greenAbstract read
In one paragraph

Article in Annals of the rheumatic diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
4.7field-weighted citation impact, top 4% 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

41 citing papers in PubMed, 64 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.

Bryant R EnglandDivision of Rheumatology & Immunology, University of Nebraska Medical Center, Omaha, Nebraska, USA bryant.england@unmc.edu.ORCID 0000-0002-9649-3588
Punyasha RoulDivision of Rheumatology & Immunology, University of Nebraska Medical Center, Omaha, Nebraska, USA.
Yangyuna YangDivision of Rheumatology & Immunology, University of Nebraska Medical Center, Omaha, Nebraska, USA.
Harlan SaylesDepartment of Biostatistics, University of Nebraska Medical Center, Omaha, Nebraska, USA.
Fang YuDepartment of Biostatistics, University of Nebraska Medical Center, Omaha, Nebraska, USA.
Kaleb MichaudDivision of Rheumatology & Immunology, University of Nebraska Medical Center, Omaha, Nebraska, USA.ORCID 0000-0002-5350-3934
Fenglong XieImmunology and Rheumatology, University of Alabama at Birmingham, Birmingham, Alabama, USA.
Jeffrey R CurtisImmunology and Rheumatology, University of Alabama at Birmingham, Birmingham, Alabama, USA.
Ted R MikulsDivision of Rheumatology & Immunology, University of Nebraska Medical Center, Omaha, Nebraska, USA.ORCID 0000-0002-0897-2272
University of Nebraska Medical Center · USUniversity of Alabama at Birmingham · USNebraska Medical Center · USThe National Databank for Rheumatic Diseases · USVA Nebraska Western Iowa Health Care System · US

Funding

Tracking and Evaluation CoreU54GM115458 · NIGMS · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI RIZZO, MATTHEW · 2016 to 2025
$42.8M
UNMC Summer Undergraduate Alcohol Research ProgramR25AA020818 · NIAAA · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI Kristina L Bailey · 2012 to 2026
$931k
NIAAA NIH HHS R25 AA020818NIGMS NIH HHS U54 GM115458
6 · The paper itself

Abstract

objectivesTo compare the onset and trajectory of multimorbidity between individuals with and without rheumatoid arthritis (RA).

methodsA matched, retrospective cohort study was completed in a large, US commercial insurance database (MarketScan) from 2006 to 2015. Using validated algorithms, patients with RA (overall and incident) were age-matched and sex-matched to patients without RA. Diagnostic codes for 44 preidentified chronic conditions were selected to determine the presence (≥2 conditions) and burden (count) of multimorbidity. Cross-sectional comparisons were completed using the overall RA cohort and conditional logistic and negative binomial regression models. Trajectories of multimorbidity were assessed within the incident RA subcohort using generalised estimating equations.

resultsThe overall cohort (n=277 782) and incident subcohort (n=61 124) were female predominant (76.5%, 74.1%) with a mean age of 55.6 years and 54.5 years, respectively. The cross-sectional prevalence (OR 2.29, 95% CI 2.25 to 2.34) and burden (ratio of conditions 1.68, 95% CI 1.66 to 1.70) of multimorbidity were significantly higher in RA than non-RA in the overall cohort. Within the incident RA cohort, patients with RA had more chronic conditions than non-RA (β 1.13, 95% CI 1.10 to 1.17), and the rate of accruing chronic conditions was significantly higher in RA compared with non-RA (RA × follow-up year, β 0.21, 95% CI 0.20 to 0.21, p<0.001). Results were similar when including the pre-RA period and in several sensitivity analyses.

conclusionsMultimorbidity is highly prevalent in RA and progresses more rapidly in patients with RA than in patients without RA during and immediately following RA onset. Therefore, multimorbidity should be aggressively identified and targeted early in the RA disease course.

Indexed as

Arthritis, RheumatoidMultimorbidityCohort StudiesCross-Sectional StudiesFemaleHumansMaleMiddle AgedRetrospective Studiesarthritisepidemiologyhealth careoutcome assessmentrheumatoid

Identifiers

PMID33032999
PMCPMC10658760
OpenAlexW3092495857

What OpenQuestion holds

Textmetadata
LicenceTDM
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.