Evidence map›Paper›PMID 36292294›Full record

ArticleHealthcare (Basel, Switzerland)2022

Sex-Specific Association between Underlying Diseases and the Severity and Mortality Due to COVID-19 Infection: A Retrospective Observational Cohort Analysis of Clinical Epidemiological Information Collected by the Korea Disease Control and Prevention Agency.

Hwayeong Oh, Roeul Kim, Woojin Chung

Open access · goldAbstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 48% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
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

3 authors at 3 institutions in 1 country.

Hwayeong OhNational Evidence-based Healthcare Collaborating Agency, Seoul 04933, Korea.
Roeul KimLabor Welfare Research Institute, Korea Workers' Compensation and Welfare Service, Seoul 07254, Korea.ORCID 0000-0003-4663-4490
Woojin ChungDepartment of Health Policy and Management, Graduate School of Public Health, Yonsei University, Seoul 03722, Korea.ORCID 0000-0003-2090-4851
Korea Workers' Compensation and Welfare Service · KRNational Evidenc- based healthcare Collaborating Agency · KRYonsei University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study is a retrospective observational cohort analysis aiming to explore the relationship between underlying disease and the severity and mortality rate of coronavirus disease (COVID-19) by sex. As sample subjects, 5077 confirmed COVID-19 patients were selected. The dependent variable was each patient's clinical severity, dichotomized into two groups: clinical non-severity group and clinical severity group (including death group). Eleven underlying diseases were considered variables of interest, and each was dichotomized. Binary multivariate logistic regression model analyses were performed. Our results showed that the proportion of male patients (7.1%) in the clinical severity group was significantly higher than that of female patients (4.5%) and that the risk of being in the clinical severity group was higher in patients with specific underlying diseases. The underlying diseases varied: in males, rheumatism and autoimmune (adjusted odds ratio (aOR) = 6.69, 95% confidence interval (CI) = 1.60-27.98), dementia (aOR = 4.09, 95% CI = 2.14-7.82), cancer (aOR = 2.69, 95% CI = 1.27-5.69), and diabetes mellitus (aOR = 1.81, 95% CI = 1.18-2.77); in females, chronic kidney disease (aOR = 5.09, 95% CI = 1.87-13.86), dementia (aOR = 3.08, 95% CI = 1.18-5.23), diabetes mellitus (aOR = 1.87, 95% CI = 1.15-3.02), and hypertension (aOR = 1.73, 95% CI = 1.08-2.78). This study identified certain underlying diseases related to the high risk of being in clinically severe conditions and found that they differ between sexes. Prevention and treatment measure should be developed to reduce severity or mortality in confirmed COVID-19, based on underlying diseases and sex. However, further in-depth research is required to explore whether the findings and suggestions of this study can be generalized to other countries.

Indexed as

COVID-19mortalityseveritysexSouth Koreaunderlying disease

Identifiers

PMID36292294
PMCPMC9602408
OpenAlexW4297198585

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.