Evidence map›Paper›PMID 32808515›Full record

ArticleJournal of Korean medical science2020

Years of Life Lost Attributable to COVID-19 in High-incidence Countries.

In Hwan Oh, Minsu Ock, Su Yeon Jang, Dun Sol Go, Young Eun Kim, Yoon Sun Jung, Ki Beom Kim, Hyesook Park, Min Woo Jo, Seok Jun Yoon

Abstract read
In one paragraph

Article in Journal of Korean medical science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 5 pooled it
–field-weighted citation impact
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

26 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
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  5. Economic evaluation of programs against COVID-19: A systematic review.International journal of surgery (London, England) · 2021
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  9. Updating Korean Disability Weights for Causes of Disease: Adopting an Add-on Study Method.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2023
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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

10 authors.

In Hwan Oh *Department of Preventive Medicine, School of Medicine, Kyung Hee University, Seoul, Korea.ORCID https://orcid.org/0000-0002-5450-9887
Minsu Ock *Department of Preventive Medicine, University of Ulsan College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0001-9949-9224
Su Yeon JangDepartment of Preventive Medicine, School of Medicine, Kyung Hee University, Seoul, Korea.ORCID https://orcid.org/0000-0001-7545-3168
Dun Sol GoDepartment of Health Care Policy Research, Korea Institute for Health and Social Affairs, Sejong, Korea.ORCID https://orcid.org/0000-0002-9025-7760
Young Eun KimBig Data Department, National Health Insurance Service, Wonju, Korea.ORCID https://orcid.org/0000-0003-0694-6844
Yoon Sun JungDepartment of Public Health, Graduate School, Korea University, Seoul, Korea.ORCID https://orcid.org/0000-0002-9379-4908
Ki Beom KimDepartment of Public Health, Graduate School, Korea University, Seoul, Korea.ORCID https://orcid.org/0000-0001-7613-0125
Hyesook ParkDepartment of Preventive Medicine, Ewha Womans University School of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-9359-6522
Min Woo JoDepartment of Preventive Medicine, University of Ulsan College of Medicine, Seoul, Korea. mdjominwoo@gmail.com.ORCID https://orcid.org/0000-0002-4574-1318
Seok Jun YoonDepartment of Preventive Medicine, Korea University College of Medicine, Seoul, Korea. yoonsj02@korea.ac.kr.ORCID https://orcid.org/0000-0003-3297-0071

Funding

Korea Health Industry Development Institute HI18C0446
6 · The paper itself

Abstract

backgroundThe coronavirus disease 2019 (COVID-19) pandemic is a major public health problem of international concern. It is important to estimate its impact of COVID-19 for health policy decision-making. We estimated the years of life lost (YLLs) due to COVID-19 in high-incidence countries.

methodsWe collected the YLLs due to COVID-19 in 30 high-incidence countries as of April 13, 2020 and followed up as of July 14, 2020. Incidence and mortality were collected using each country's formal reports, articles, and other electronic sources. The life expectancy of Japanese females by age and the UN population data were used to calculate YLLs in total and per 100,000.

resultsAs of April 22, 2020, there were 1,699,574 YLLs due to COVID-19 in 30 high-incidence countries. On July 14, 2020, this increased to 4,072,325. Both on April 22 and July 14, the total YLLs due to COVID-19 was highest in the USA (April 22, 534,481 YLLs; July 14, 1,199,510 YLLs), and the YLLs per 100,000 population was highest in Belgium (April 22, 868.12 YLLs/100,000; July 14, 1,593.72 YLLs/100,000). YLLs due to COVID-19 were higher among males than among females and higher in those aged ≥ 60 years than in younger individuals. Belgium had the highest proportion of YLLs attributable to COVID-19 as a proportion of the total YLLs and the highest disability-adjusted life years per 100,000 population.

conclusionThis study estimated YLLs due to COVID-19 in 30 countries. COVID-19 is a high burden in the USA and Belgium, among males and the elderly. The YLLs are very closely related with the incidence as well as the mortality. This highlights the importance of the early detection of incident case that minimizes severe acute respiratory syndrome coronavirus-2 fatality.

Indexed as

BetacoronavirusAdolescentAdultAgedAged, 80 and overChildChild, PreschoolCoronavirus InfectionsCost of IllnessCOVID-19FemaleHumansIncidenceInfantInfant, NewbornMaleBurden of DiseaseCOVID-19Disability-Adjusted Life YearsSARS-CoV-2Years of Life Lost

Identifiers

PMID32808515
PMCPMC7431288

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.