Evidence map›Paper›PMID 34636505›Full record

ArticleJournal of Korean medical science2021

Estimation of Excess All-cause Mortality during COVID-19 Pandemic in Korea.

Min Sun Shin, Boram Sim, Won Mo Jang, Jin Yong Lee

Abstract 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 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  4. Excess Deaths in Korea During the COVID-19 Pandemic: 2020-2022.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2024
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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

4 authors.

Min Sun Shin *Division of Evidence-Based Research, HIRA Research Institute, Health Insurance Review and Assessment Service (HIRA), Wonju, Korea.ORCID https://orcid.org/0000-0002-6879-8915
Boram Sim *Division of Healthcare Resource Policy Research, HIRA Research Institute, Health Insurance Review and Assessment Service (HIRA), Wonju, Korea.ORCID https://orcid.org/0000-0003-0981-5102
Won Mo JangDepartment of Public Health and Community Medicine, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, Korea. thomasjang.ph@gmail.com.ORCID https://orcid.org/0000-0003-3277-7706
Jin Yong LeeHIRA Research Institute, Health Insurance Review and Assessment Service (HIRA), Wonju, Korea.ORCID https://orcid.org/0000-0002-7752-2697

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundExcess all-cause mortality is helpful to assess the full extent of the health impact, including direct and indirect deaths of coronavirus disease 2019 (COVID-19). The study aimed to estimate overall and regional excess all-cause mortality during the pandemic in Korea.

methodsWe obtained all-cause death data and population statistics from January 2010 to December 2020. The expected mortality in 2020 was estimated using a quasi-Poisson regression model. The model included death year, seasonal variation, cold wave (January), average death counts in the previous month, and population. Excess mortality was defined as the difference between the observed mortality and the expected mortality. Regions were classified into three areas according to the numbers of COVID-19 cases.

resultsThere was no annual excess all-cause mortality in 2020 at the national and regional level compared to the average death for the previous ten years. The observed mortality in 2020 was 582.9 per 100,000 people, and the expected mortality was 582.3 per 100,000 people (95% confidence interval, 568.3-596.7). However, we found monthly and regional variations depending on the waves of the COVID-19 pandemic in Korea. While the mortality in August, October, and November exceeded the expected range, the mortality in September was lower than the expected range. The months in which excess deaths were identified differed by region.

conclusionOur results show that the mortality in 2020 was similar to the historical trend. However, in the era of the COVID-19 pandemic, it would be necessary to regularly investigate COVID-19-related mortality and determine its direct and indirect causes.

Indexed as

SARS-CoV-2Cause of DeathCOVID-19HumansRepublic of KoreaCause of DeathCOVID-19Excess MortalityKoreaMortalitySARS-CoV-2

Identifiers

PMID34636505
PMCPMC8506417

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Registered trials

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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.