Evidence map›Paper›PMID 34173605›Full record

ArticleThe Lancet regional health. Western Pacific2020

Presenting characteristics and clinical outcome of patients with COVID-19 in South Korea: A nationwide retrospective observational study.

Hyun-Young Park, Jung Hyun Lee, Nam-Kyoo Lim, Do Sang Lim, Sung Ok Hong, Mi-Jin Park, Seon Young Lee, Geehyuk Kim, Jae Kyung Park, Dae Sub Song and 6 more

Open access · goldAbstract read
In one paragraph

Article in The Lancet regional health. Western Pacific, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 22% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 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

16 authors at 1 institution in 1 country.

Hyun-Young ParkCOVID-19 National Emergency Response Center, Korea Centers for Disease Control and Prevention, Cheongju city 28159, South Korea.
Jung Hyun LeeCOVID-19 National Emergency Response Center, Korea Centers for Disease Control and Prevention, Cheongju city 28159, South Korea.
Nam-Kyoo LimCOVID-19 National Emergency Response Center, Korea Centers for Disease Control and Prevention, Cheongju city 28159, South Korea.
Do Sang LimCOVID-19 National Emergency Response Center, Korea Centers for Disease Control and Prevention, Cheongju city 28159, South Korea.
Sung Ok HongCOVID-19 National Emergency Response Center, Korea Centers for Disease Control and Prevention, Cheongju city 28159, South Korea.
Mi-Jin ParkCOVID-19 National Emergency Response Center, Korea Centers for Disease Control and Prevention, Cheongju city 28159, South Korea.
Seon Young LeeCOVID-19 National Emergency Response Center, Korea Centers for Disease Control and Prevention, Cheongju city 28159, South Korea.
Geehyuk KimCOVID-19 National Emergency Response Center, Korea Centers for Disease Control and Prevention, Cheongju city 28159, South Korea.
Jae Kyung ParkCOVID-19 National Emergency Response Center, Korea Centers for Disease Control and Prevention, Cheongju city 28159, South Korea.
Dae Sub SongCOVID-19 National Emergency Response Center, Korea Centers for Disease Control and Prevention, Cheongju city 28159, South Korea.
Hee Youl ChaiCOVID-19 National Emergency Response Center, Korea Centers for Disease Control and Prevention, Cheongju city 28159, South Korea.
Sung Soo KimCOVID-19 National Emergency Response Center, Korea Centers for Disease Control and Prevention, Cheongju city 28159, South Korea.
Yeon-Kyeng LeeCOVID-19 National Emergency Response Center, Korea Centers for Disease Control and Prevention, Cheongju city 28159, South Korea.
Hye Kyung ParkCOVID-19 National Emergency Response Center, Korea Centers for Disease Control and Prevention, Cheongju city 28159, South Korea.
Jun-Wook KwonCOVID-19 National Emergency Response Center, Korea Centers for Disease Control and Prevention, Cheongju city 28159, South Korea.
Eun Kyeong JeongCOVID-19 National Emergency Response Center, Korea Centers for Disease Control and Prevention, Cheongju city 28159, South Korea.
Korea Disease Control and Prevention Agency · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMore than 13,000 cases were reported to be infected with COVID-19 by RT-PCR in South Korea. Most studies report clinical characteristics of hospitalized patients with COVID-19; the full spectrum of disease severity has thus not yet been well described.

methodsUsing retrospective observational methods, this study analyzed factors affecting early clinical symptoms, clinical progress, and severity of disease for COVID-19 positive patients released from quarantine to provide information on establishing optimized care for new patients. The medical data of 7803 laboratory-confirmed patients who had been discharged or died by April 30, 2020 were analyzed using multivariate logistic regression analysis.

findingsOn admission, 7383 (94•5%) patients were asymptomatic or showed mild illness, and 372 (4•8%) patients were severe illness. Also, 48 (0 0•6%) were hospitalized with critically ill when diagnosed. Most patients with asymptomatic or mild illness on admission remained mild until discharge, 253 (3•4%) progressed to severe illness, and 83 (1•1%) died in hospital. However, the case fatality were 29•8% and 62•5% in severe and critically ill patients, respectively. At admission, 73•0% of hospitalized patients had symptoms; most common were cough (42•5%), sputum (28•8%), and fever (20•1%). Only 35•2% of laboratory confirmed patients admitted to the temporary care facility complained of symptoms. Increasing odds of being critically ill was associated with older age (OR 28•93, 95% CI 13•34-62•75 for age >70y, vs. age <50 y;

interpretationMost cases were discharged as asymptomatic or recovered from mild illness, and only 9•7% developed severe disease requiring oxygen therapy or more. Case fatality rate was 2•9%, and markedly increased in those over age 50. Risk factors such as age, sex, fever, shortness of breath, and underlying disease can be useful in predicting future clinical severity. Additionally, the number of confirmed asymptomatic COVID-19 patients significantly contribute to continued spread.

fundingnone.

Identifiers

PMID34173605
PMCPMC7691821
OpenAlexW3107594285

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.