Evidence map›Paper›PMID 38288538›Full record

Observational studyJournal of Korean medical science2024

The Risk of COVID-19 and Its Outcomes in Korean Patients With Gout: A Multicenter, Retrospective, Observational Study.

Min Jung Kim, Borim Ryu, Eun-Gee Park, Siyeon Yi, Kwangsoo Kim, Jun Won Park, Kichul Shin

Abstract readObservational StudyMulticenter Study
In one paragraph

Observational study in Journal of Korean medical science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Min Jung Kim *Division of Rheumatology, Department of Internal Medicine, Seoul Metropolitan Government-Seoul National University Hospital Boramae Medical Center, Seoul, Korea.ORCID https://orcid.org/0000-0002-2618-1415
Borim Ryu *Center for Data Science, Biomedical Research Institute, Seoul Metropolitan Government-Seoul National University Hospital Boramae Medical Center, Seoul, Korea.ORCID https://orcid.org/0000-0002-2000-4565
Eun-Gee ParkCenter for Data Science, Biomedical Research Institute, Seoul Metropolitan Government-Seoul National University Hospital Boramae Medical Center, Seoul, Korea.ORCID https://orcid.org/0000-0001-9408-9584
Siyeon YiBiomedical Research Institute, Seoul National University Hospital, Seoul, Korea.ORCID https://orcid.org/0000-0002-6173-8856
Kwangsoo KimDepartment of Transdisciplinary Medicine, Institute of Convergence Medicine with Innovative Technology, Seoul National University Hospital, Seoul, Korea.ORCID https://orcid.org/0000-0002-4586-5062
Jun Won ParkDivision of Rheumatology, Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea.ORCID https://orcid.org/0000-0002-8624-2582
Kichul ShinDivision of Rheumatology, Department of Internal Medicine, Seoul Metropolitan Government-Seoul National University Hospital Boramae Medical Center, Seoul, Korea.ORCID https://orcid.org/0000-0002-6749-7598

Funding

NIEHS NIH HHS 27307C0010
6 · The paper itself

Abstract

This retrospective cohort study aimed to compare coronavirus disease 2019 (COVID-19)-related clinical outcomes between patients with and without gout. Electronic health record-based data from two centers (Seoul National University Hospital [SNUH] and Boramae Medical Center [BMC]), from January 2021 to April 2022, were mapped to a common data model. Patients with and without gout were matched using a large-scale propensity-score algorithm based on population-level estimation methods. At the SNUH, the risk for COVID-19 diagnosis was not significantly different between patients with and without gout (hazard ratio [HR], 1.07; 95% confidence interval [CI], 0.59-1.84). Within 30 days after COVID-19 diagnosis, no significant difference was observed in terms of hospitalization (HR, 0.57; 95% CI, 0.03-3.90), severe outcomes (HR, 2.90; 95% CI, 0.54-13.71), or mortality (HR, 1.35; 95% CI, 0.06-16.24). Similar results were obtained from the BMC database, suggesting that gout does not increase the risk for COVID-19 diagnosis or severe outcomes.

Indexed as

COVID-19GoutCOVID-19 TestingHumansRepublic of KoreaRetrospective StudiesSARS-CoV-2COVID-19GoutObservational StudySARS-CoV-2

Identifiers

PMID38288538
PMCPMC10825458

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.