Evidence map›Paper›PMID 33975399›Full record

ArticleJournal of Korean medical science2021

Risk Factors of Outcomes of COVID-19 Patients in Korea: Focus on Early Symptoms.

Su Yeon Jang, Jeong Yeon Seon, Baik Lin Eun, Seong Beom Koh, Jin Hong Yoo, Woo Yong Lee, Ho Kee Yum, Seok Jun Yoon, In Hwan Oh, Sang Cheol Bae and 1 more

Open access · goldAbstract read
In one paragraph

Article in Journal of Korean medical science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

10 citing papers in PubMed, 16 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

11 authors at 6 institutions in 1 country.

Su Yeon Jang *Department of Preventive Medicine, Kyung Hee University School of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0001-7545-3168
Jeong Yeon Seon *Department of Preventive Medicine, Kyung Hee University School of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-0080-168X
Baik Lin EunDepartment of Pediatrics, Korea University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0001-8735-292X
Seong Beom KohDepartment of Neurology, Korea University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-9411-4863
Jin Hong YooDivision of Infectious Diseases, Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea.ORCID https://orcid.org/0000-0003-2611-3399
Woo Yong LeeSamsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-9558-9019
Ho Kee YumRespiratory and Critical Care Medicine, Inje University Seoul Paik Hospital, Seoul, Korea.ORCID https://orcid.org/0000-0002-7929-0906
Seok Jun YoonDepartment of Preventive Medicine, Korea University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0003-3297-0071
In Hwan OhDepartment of Preventive Medicine, Kyung Hee University School of Medicine, Seoul, Korea. parenchyme@gmail.com.ORCID https://orcid.org/0000-0002-5450-9887
Sang Cheol BaeDepartment of Rheumatology, Hanyang University Hospital for Rheumatic Diseases, Seoul, Korea.ORCID https://orcid.org/0000-0003-4658-1093
Sung Goo ChangDepartment of Urology, Kyung Hee University School of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0003-0733-7266
Kyung Hee University · KRKorea University · KRCatholic University of Korea · KRHanyang University Seoul Hospital · KRInje University Seoul Paik Hospital · KRSamsung Medical Center · KR

Funding

Korean Academy of Medical Sciences
6 · The paper itself

Abstract

backgroundCoronavirus disease 2019 (COVID-19) has spread around the globe, and it is important to determine the risk factors of death in the general population. Our study aimed to determine the risk factors of death and severe illness requiring supplemental oxygen therapy based on the demographic and clinical characteristics of COVID-19 patients in Korea.

methodsIn this study, we used data provided by the Korea Disease Control and Prevention Agency (KDCA) and analyzed a total of 5,068 patients with COVID-19, excluding 19 pregnant women and 544 individuals with missing data. We performed logistic regression analysis to determine the impact of early symptoms on survival and severe disease. Logistic regression models included sex, age, number of comorbidities, symptoms on admission, blood pressure, heart rate, and body temperature as explanatory variables, and death and oxygen therapy as outcome variables.

resultsLogistic regression analyses revealed that the male sex, older age (≥ 60 years), higher number of comorbidities, presence of symptoms on admission, heart rate ≥ 120 bpm, and body temperature ≥ 37.5°C presented with higher risk of in-hospital death and oxygen therapy requirement. Conversely, rhinorrhea and headache were associated with a low risk of death and oxygen therapy requirement. The findings showed that cough, sputum, and fever were the most common symptoms on admission, while 25.3% of patients with COVID-19 were asymptomatic.

conclusionCOVID-19 patients with high-risk early symptoms on admission, such as dyspnea and altered mental status, and those without low-risk symptoms of rhinorrhea and headache should be included in priority treatment groups.

Indexed as

Treatment OutcomeAdolescentAdultAgedAged, 80 and overComorbidityCOVID-19Databases, FactualDyspneaExtracorporeal Membrane OxygenationFemaleFeverHumansLogistic ModelsMaleMiddle AgedCOVID-19KoreaRisk FactorsSARS-CoV-2Signs and Symptoms

Identifiers

PMID33975399
PMCPMC8111043
OpenAlexW3158292282

What OpenQuestion 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 OpenQuestion graph.