Evidence map›Paper›PMID 37183329›Full record

ArticleOsong public health and research perspectives2023

Risk factors for deaths associated with COVID-19 according to the cause of death classification in Republic of Korea.

Na-Young Kim, Seong-Sun Kim, Hyun Ju Lee, Dong Hwi Kim, Boyeong Ryu, Eunjeong Shin, Donghyok Kwon

Open access · diamondAbstract read
In one paragraph

Article in Osong public health and research perspectives, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 34% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

7 authors at 1 institution in 1 country.

Na-Young KimCentral Disease Control Headquarters, Korea Disease Control and Prevention Agency, Cheongju, Republic of Korea.
Seong-Sun KimCentral Disease Control Headquarters, Korea Disease Control and Prevention Agency, Cheongju, Republic of Korea.
Hyun Ju LeeCentral Disease Control Headquarters, Korea Disease Control and Prevention Agency, Cheongju, Republic of Korea.
Dong Hwi KimCentral Disease Control Headquarters, Korea Disease Control and Prevention Agency, Cheongju, Republic of Korea.
Boyeong RyuCentral Disease Control Headquarters, Korea Disease Control and Prevention Agency, Cheongju, Republic of Korea.
Eunjeong ShinCentral Disease Control Headquarters, Korea Disease Control and Prevention Agency, Cheongju, Republic of Korea.
Donghyok KwonCentral Disease Control Headquarters, Korea Disease Control and Prevention Agency, Cheongju, Republic of Korea.
Korea Disease Control and Prevention Agency · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aimed to classify coronavirus disease 2019 (COVID-19)-related deaths according to whether COVID-19 was listed as the cause of death, and to investigate the differences in demographic characteristics and risk factors for COVID-19 death classifications.

methodsA total of 5,625 deaths in South Korea among patients with confirmed COVID-19 from January 20, 2020 to December 31, 2021 were selected. Excluding false reports and unnatural deaths, 5,597 deaths were analyzed. Based on death report data, deaths were classified according to whether the cause of death was listed as COVID-19 (CD) or not (NCD). The epidemiological characteristics and causes of deaths were investigated using descriptive, univariate, and multivariate statistical analyses. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated to analyze the risk factors.

resultsThe case fatality ratio was 0.89% and increased with age. Additionally, 96.4% of the subjects had an underlying disease, and 53.4% died in winter. The proportion of NCDs was 9.3%, of whom 19.1% died at home and 39.0% were confirmed to have COVID-19 after death. Malignant neoplasms (102/416 vs. 637/4,442; OR, 1.71; 95% CI, 1.36-2.16; p<0.001) were significantly associated with NCD.

conclusionThis is the first study to analyze risk factors by cause of death using COVID-19 death report data in South Korea. These results are expected to be used as evidence for establishing a death monitoring system that can collect timely information in a new infectious disease pandemic.

Indexed as

COVID-19DeathRepublic of KoreaRisk factors

Identifiers

PMID37183329
PMCPMC10211456
OpenAlexW4366136597

What OpenQuestion holds

Textmetadata
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.