Evidence map›Paper›PMID 34179832›Full record

ArticleThe Lancet. Rheumatology2021

Autoimmune inflammatory rheumatic diseases and COVID-19 outcomes in South Korea: a nationwide cohort study.

Youn Ho Shin, Jae Il Shin, Sung Yong Moon, Hyun Young Jin, So Young Kim, Jee Myung Yang, Seong Ho Cho, Sungeun Kim, Minho Lee, Youngjoo Park and 11 more

Open access · bronzeAbstract read
In one paragraph

Article in The Lancet. Rheumatology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
76citing papers in PubMed, 2 pooled it
7.6field-weighted citation impact, top 2% 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

76 citing papers in PubMed, 2 syntheses or guidelines pooled it, 126 citations in OpenAlex.

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16 more citing papers are in PubMed but not listed here.

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

21 authors at 13 institutions in 6 countries.

Youn Ho ShinDepartment of Pediatrics, CHA Gangnam Medical Center, CHA University School of Medicine, Seoul, South Korea.
Jae Il ShinDepartment of Pediatrics, Yonsei University College of Medicine, Seoul, South Korea.
Sung Yong MoonDepartment of Data Science, Sejong University College of Software Convergence, Seoul, South Korea.
Hyun Young JinDepartment of Data Science, Sejong University College of Software Convergence, Seoul, South Korea.
So Young KimDepartment of Otorhinolaryngology-Head & Neck Surgery, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam, South Korea.
Jee Myung YangDepartment of Ophthalmology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea.
Seong Ho ChoDivision of Allergy-Immunology, University of South Florida Morsani College of Medicine, Tampa, FL, USA.
Sungeun KimYonsei University College of Medicine, Seoul, South Korea.
Minho LeeYonsei University College of Medicine, Seoul, South Korea.
Youngjoo ParkYonsei University College of Medicine, Seoul, South Korea.
Min Seo KimKorea University College of Medicine, Seoul, South Korea.
Hong-Hee WonSamsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center, Seoul, South Korea.
Sung Hwi HongYonsei University College of Medicine, Seoul, South Korea.
Andreas KronbichlerDepartment of Internal Medicine IV (Nephrology and Hypertension), Medical University of Innsbruck, Innsbruck, Austria.
Ai KoyanagiResearch and Development Unit, Parc Sanitari Sant Joan de Déu, CIBERSAM, Barcelona, Spain.
Louis JacobResearch and Development Unit, Parc Sanitari Sant Joan de Déu, CIBERSAM, Barcelona, Spain.
Lee SmithThe Cambridge Centre for Sport and Exercise Sciences, Anglia Ruskin University, Cambridge, UK.
Keum Hwa LeeDepartment of Pediatrics, Yonsei University College of Medicine, Seoul, South Korea.
Dong In SuhDepartment of Pediatrics, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, South Korea.
Seung Won LeeDepartment of Data Science, Sejong University College of Software Convergence, Seoul, South Korea.
Dong Keon YonDepartment of Pediatrics, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, South Korea.
Yonsei University · KRSejong University · KRCHA University · KRSeoul National University Hospital · KRAnglia Ruskin University · GBAsan Medical Center · KRCHA University Gangnam Medical Center · KRInnsbruck Medical University · ATInstitució Catalana de Recerca i Estudis Avançats · ESKorea University · KRSungkyunkwan University · KRUniversité de Versailles Saint-Quentin-en-Yvelines · FRUniversity of South Florida · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundReal-world evidence on the association between autoimmune inflammatory rheumatic diseases, therapies related to these diseases, and COVID-19 outcomes are inconsistent. We aimed to investigate the potential association between autoimmune inflammatory rheumatic diseases and COVID-19 early in the COVID-19 pandemic.

methodsWe did an exposure-driven, propensity score-matched study using a South Korean nationwide cohort linked to general health examination records. We analysed all South Korean patients aged older than 20 years who underwent SARS-CoV-2 RT-PCR testing between Jan 1 and May 30, 2020, and received general health examination results from the Korean National Health Insurance Service. We defined autoimmune inflammatory rheumatic diseases (inflammatory arthritis and connective tissue diseases) based on the relevant ICD-10 codes, with at least two claims (outpatient or inpatient) within 1 year. The outcomes were positive SARS-CoV-2 RT-PCR test, severe COVID-19 (requirement of oxygen therapy, intensive care unit admission, application of invasive ventilation, or death), and COVID-19-related death. Adjusted odds ratios (ORs) with 95% CIs were estimated after adjusting for the potential confounders.

findingsBetween Jan 1 and May 30, 2020, 133 609 patients (70 050 [52·4%] female and 63 559 [47·6%] male) completed the general health examination and were tested for SARS-CoV-2; 4365 (3·3%) were positive for SARS-CoV-2, and 8297 (6·2%) were diagnosed with autoimmune inflammatory rheumatic diseases. After matching, patients with an autoimmune inflammatory rheumatic disease showed an increased likelihood of testing positive for SARS-CoV-2 (adjusted OR 1·19, 95% CI 1·03-1·40; p=0·026), severe COVID-19 outcomes (1·26, 1·02-1·59; p=0·041), and COVID-19-related death (1·69, 1·01-2·84; p=0·046). Similar results were observed in patients with connective tissue disease and inflammatory arthritis. Treatment with any dose of systemic corticosteroids or disease-modifying antirheumatic drugs (DMARDs) were not associated with COVID-19-related outcomes, but those receiving high dose (≥10 mg per day) of systemic corticosteroids had an increased likelihood of a positive SARS-CoV-2 test (adjusted OR 1·47, 95% CI 1·05-2·03; p=0·022), severe COVID-19 outcomes (1·76, 1·06-2·96; p=0·031), and COVID-19-related death (3·34, 1·23-8·90; p=0·017).

interpretationEarly in the COVID-19 pandemic, autoimmune inflammatory rheumatic diseases were associated with an increased likelihood of a positive SARS-CoV-2 PCR test, worse clinical outcomes of COVID-19, and COVID-19-related deaths in South Korea. A high dose of systemic corticosteroid, but not DMARDs, showed an adverse effect on SARS-CoV-2 infection and COVID-19-related clinical outcomes.

fundingNational Research Foundation of Korea.

Identifiers

PMID34179832
PMCPMC8213376
OpenAlexW3177237905

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Registered trials

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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.