Evidence map›Paper›PMID 35588095›Full record

ArticleArthritis care & research2023

Identification of Multimorbidity Patterns in Rheumatoid Arthritis Through Machine Learning.

Bryant R England, Yangyuna Yang, Punyasha Roul, Christian Haas, Lotfollah Najjar, Harlan Sayles, Fang Yu, Brian C Sauer, Joshua F Baker, Fenglong Xie and 3 more

Open access · greenAbstract read
In one paragraph

Article in Arthritis care & research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
4.8field-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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.

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  14. A survey of artificial intelligence in rheumatoid arthritis.Rheumatology and immunology research · 2023
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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

13 authors at 8 institutions in 3 countries.

Bryant R EnglandVA Nebraska-Western Iowa Health Care System and University of Nebraska Medical Center, Omaha.ORCID 0000-0002-9649-3588
Yangyuna YangUniversity of Nebraska Medical Center, Omaha.
Punyasha RoulUniversity of Nebraska Medical Center, Omaha.
Christian HaasUniversity of Nebraska, Omaha, and Vienna University of Economics and Business, Vienna, Austria.
Lotfollah NajjarUniversity of Nebraska, Omaha.
Harlan SaylesUniversity of Nebraska Medical Center, Omaha.
Fang YuUniversity of Nebraska Medical Center, Omaha.
Brian C SauerUniversity of Utah and Veterans Affairs Salt Lake City, Salt Lake City.ORCID 0000-0002-3546-3051
Joshua F BakerPhiladelphia Veterans Affairs and University of Pennsylvania, Philadelphia.
Fenglong XieUniversity of Alabama, Birmingham.
Kaleb MichaudUniversity of Nebraska Medical Center, Omaha, and FORWARD, The National Databank for Rheumatic Diseases, Wichita, Kansas.
Jeffrey R CurtisUniversity of Alabama, Birmingham.ORCID 0000-0002-8907-8976
Ted R MikulsVA Nebraska-Western Iowa Health Care System and University of Nebraska Medical Center, Omaha.ORCID 0000-0002-0897-2272
University of Nebraska Medical Center · USUniversity of Alabama at Birmingham · USVA Nebraska Western Iowa Health Care System · USDepartment of Veterans Affairs · AUThe National Databank for Rheumatic Diseases · USUniversity of Nebraska at Omaha · USUniversity of Utah · USVienna University of Economics and Business · AT

Funding

Tracking and Evaluation CoreU54GM115458 · NIGMS · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI GUDA, CHITTIBABU · 2016 to 2025
$42.8M
The Effects of Urate Lowering Therapy on Inflammation, Endothelial function, andP50AR060772 · NIAMS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI SINGH, JASVINDER A · 2012 to 2021
$12.8M
Methods and Health Informatics CoreP30AR072583 · NIAMS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI JEFFREY R. CURTIS · 2020 to 2026
$5.7M
UNMC Summer Undergraduate Alcohol Research ProgramR25AA020818 · NIAAA · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI Kristina L Bailey · 2012 to 2026
$931k
Adipokines as Biomarkers of Cachexia and High-Risk Rheumatoid ArthritisI01CX001703 · VA · PHILADELPHIA VA MEDICAL CENTER · PI BAKER, JOSHUA F. · 2019 to 2023
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Improving the Management of Rheumatoid Arthritis-Associated Lung Disease in Veterans Using Real-World DataIK2CX002203 · VA · OMAHA VA MEDICAL CENTER · PI Bryant R England · 2021 to 2026
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A Pragmatic Trial to Determine the Benefit of Behaviorally Enhanced Exercise Incentives and Corticosteroid Injections in Osteoarthritis of the KneeI01RX003644 · VA · PHILADELPHIA VA MEDICAL CENTER · PI BAKER, JOSHUA F. · 2022 to 2025
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BLRD VA IK6 BX004600CSRD VA I01 CX001703CSRD VA IK2 CX002203NIAAA NIH HHS R25 AA020818NIAMS NIH HHS P30 AR072583NIAMS NIH HHS P50 AR060772NIGMS NIH HHS U54 GM115458RRD VA I01 RX003644
6 · The paper itself

Abstract

objectiveRecognizing that the interrelationships between chronic conditions that complicate rheumatoid arthritis (RA) are poorly understood, we aimed to identify patterns of multimorbidity and to define their prevalence in RA through machine learning.

methodsWe constructed RA and age- and sex-matched (1:1) non-RA cohorts within a large commercial insurance database (MarketScan) and the Veterans Health Administration (VHA). Chronic conditions (n = 44) were identified from diagnosis codes from outpatient and inpatient encounters. Exploratory factor analysis was performed separately in both databases, stratified by RA diagnosis and sex, to identify multimorbidity patterns. The association of RA with different multimorbidity patterns was determined using conditional logistic regression.

resultsWe studied 226,850 patients in MarketScan (76% female) and 120,780 patients in the VHA (89% male). The primary multimorbidity patterns identified were characterized by the presence of cardiopulmonary, cardiometabolic, and mental health and chronic pain disorders. Multimorbidity patterns were similar between RA and non-RA patients, female and male patients, and patients in MarketScan and the VHA. RA patients had higher odds of each multimorbidity pattern (odds ratios [ORs] 1.17-2.96), with mental health and chronic pain disorders being the multimorbidity pattern most strongly associated with RA (ORs 2.07-2.96).

conclusionCardiopulmonary, cardiometabolic, and mental health and chronic pain disorders represent predominant multimorbidity patterns, each of which is overrepresented in RA. The identification of multimorbidity patterns occurring more frequently in RA is an important first step in progressing toward a holistic approach to RA management and warrants assessment of their clinical and predictive utility.

Indexed as

Arthritis, RheumatoidCardiovascular DiseasesChronic PainChronic DiseaseFemaleHumansMachine LearningMaleMultimorbidity

Identifiers

PMID35588095
PMCPMC10009900
OpenAlexW4280653165

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.