Evidence map›Paper›PMID 33011281›Full record

ArticleInternational journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases2020

Delay-adjusted age- and sex-specific case fatality rates for COVID-19 in South Korea: Evolution in the estimated risk of mortality throughout the epidemic.

A T Newall, R N F Leong, A Nazareno, D J Muscatello, J G Wood, W J Kim

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Article in International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

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0cells of the map it votes in
7citing papers in PubMed
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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

7 citing papers in PubMed.

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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

6 authors.

A T NewallSchool of Public Health and Community Medicine, University of NSW, Sydney, NSW, Australia. Electronic address: a.newall@unsw.edu.au.
R N F LeongSchool of Public Health and Community Medicine, University of NSW, Sydney, NSW, Australia. Electronic address: robertneil.leong@unsw.edu.au.
A NazarenoSchool of Public Health and Community Medicine, University of NSW, Sydney, NSW, Australia. Electronic address: a.nazareno@unsw.edu.au.
D J MuscatelloSchool of Public Health and Community Medicine, University of NSW, Sydney, NSW, Australia. Electronic address: david.muscatello@unsw.edu.au.
J G WoodSchool of Public Health and Community Medicine, University of NSW, Sydney, NSW, Australia. Electronic address: james.wood@unsw.edu.au.
W J KimDepartment of Infectious Diseases, Guro Hospital, Korea University College of Medicine, Seoul, South Korea. Electronic address: wjkim@korea.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe aim of this study was to estimate delay-adjusted case fatality rates (CFRs) for COVID-19 in South Korea, and evaluate how these estimates have evolved over time throughout the epidemic.

methodsPublic data from the Korea Centers for Disease Control and Prevention (KCDC) were used to estimate age- and sex-specific CFRs for COVID-19 in South Korea up to June 12, 2020. We applied statistical methods previously developed to adjust for the delay between diagnosis and death, and presented both delay-adjusted and crude (unadjusted) CFRs throughout the epidemic.

resultsThe overall estimated delay-adjusted CFR was 2.39% (3.05% for males and 1.92% for females). Within each age strata where deaths were reported, males were found to have significantly higher CFRs than females. The estimated CFRs increased substantially from age 60 years in males and from 70 years in females. Both the delay-adjusted and crude CFRs were found to have evolved substantially, particularly early in the epidemic, converging only from mid-April 2020.

conclusionsThe CFRs for South Korea provide an estimate of mortality risk in a setting where case ascertainment is likely to be more complete. The evolution in CFRs throughout the epidemic highlights the need for caution when interpreting CFRs calculated at a given time point.

Indexed as

AdolescentAdultAgedAged, 80 and overAge FactorsChildChild, PreschoolCOVID-19FemaleHumansInfantMaleMiddle AgedPandemicsRepublic of KoreaRisk FactorsCase fatality rateCOVID-19deathMortalitySARS-CoV-2

Identifiers

PMID33011281
PMCPMC7529598

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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.