Evidence map›Paper›PMID 33398946›Full record

ArticleJournal of Korean medical science2021

Clinical Characteristics and Outcomes of COVID-19 Cohort Patients in Daegu Metropolitan City Outbreak in 2020.

Shin Woo Kim, Seung Mee Kim, Yu Kyung Kim, Jong Yeon Kim, Yu Mi Lee, Bong Ok Kim, Suhyun Hwangbo, Taesung Park

Open access · goldAbstract readMulticenter Study
PubMed Full text at PMC Publisher
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 39 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 4 pooled it
1.3field-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

39 citing papers in PubMed, 4 syntheses or guidelines pooled it, 62 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

8 authors at 4 institutions in 1 country.

Shin Woo KimDepartment of Internal Medicine, School of Medicine, Kyungpook National University, Daegu, Korea. ksw2kms@knu.ac.kr.ORCID https://orcid.org/0000-0002-3755-8249
Seung Mee KimDaegu Medical Center, Daegu, Korea.ORCID https://orcid.org/0000-0003-0899-0208
Yu Kyung KimDepartment of Clinical Pathology, School of Medicine, Kyungpook National University, Daegu, Korea.ORCID https://orcid.org/0000-0002-4699-8502
Jong Yeon KimDepartment of Public Health, Kyungpook National University Hospital, Daegu, Korea.ORCID https://orcid.org/0000-0002-4478-6127
Yu Mi LeeDepartment of Preventive Medicine, School of Medicine, Kyungpook National University, Daegu, Korea.ORCID https://orcid.org/0000-0003-3206-7894
Bong Ok KimKorea Workers' Compensation & Welfare Services Daegu Hospital, Daegu, Korea.ORCID https://orcid.org/0000-0002-5813-1754
Suhyun HwangboInterdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Korea.ORCID https://orcid.org/0000-0001-9294-1518
Taesung ParkInterdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Korea.ORCID https://orcid.org/0000-0002-8294-590X
Kyungpook National University · KRSeoul National University · KRDaegu Fatima Hospital · KRKyungpook National University Hospital · KR

Funding

Daegu Metropolitan CityKorea Centers for Disease Control and Prevention 2020-ER5308-00
6 · The paper itself

Abstract

backgroundA coronavirus disease 2019 (COVID-19) outbreak started in February 2020 and was controlled at the end of March 2020 in Daegu, the epicenter of the coronavirus outbreak in Korea. The aim of this study was to describe the clinical course and outcomes of patients with COVID-19 in Daegu.

methodsIn collaboration with Daegu Metropolitan City and Korean Center for Diseases Control, we conducted a retrospective, multicenter cohort study. Demographic, clinical, treatment, and laboratory data, including viral RNA detection, were obtained from the electronic medical records and cohort database and compared between survivors and non-survivors. We used univariate and multi-variable logistic regression methods and Cox regression model and performed Kaplan-Meier analysis to determine the risk factors associated with the 28-day mortality and release from isolation among the patients.

resultsIn this study, 7,057 laboratory-confirmed patients with COVID-19 (total cohort) who had been diagnosed from February 18 to July 10, 2020 were included. Of the total cohort, 5,467 were asymptomatic to mild patients (77.4%) (asymptomatic 30.6% and mild 46.8%), 985 moderate (14.0%), 380 severe (5.4%), and 225 critical (3.2%). The mortality of the patients was 2.5% (179/7,057). The Cox regression hazard model for the patients with available clinical information (core cohort) (n = 2,254) showed the risk factors for 28-day mortality: age > 70 (hazard ratio [HR], 4.219,

conclusionOverall, asymptomatic to mild patients were approximately 77% of the total cohort (asymptomatic, 30.6%). The case fatality rate was 2.5%. Risk factors, including older age, need for O₂ supply, dementia, and neurological disorder at admission, could help clinicians to identify COVID-19 patients with poor prognosis at an early stage.

Indexed as

SARS-CoV-2AdolescentAdultAgedAged, 80 and overAsymptomatic InfectionsChildChild, PreschoolCOVID-19Disease OutbreaksFemaleHumansInfantInfant, NewbornMaleMiddle AgedCase Fatality RateCOVID-19MortalityOutbreakOutcome

Identifiers

PMID33398946
PMCPMC7781854
OpenAlexW3114016664

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.