Evidence map›Paper›PMID 33708838›Full record

ArticleAnnals of translational medicine2021

Risk factors for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections: a nationwide population-based study.

Seon Cheol Park, Sun Young Won, Na Hye Kim, Heun Choi, Tae Mi Youk, Hyun Jung Lee, Han Ho Jeon

Open access · diamondAbstract read
In one paragraph

Article in Annals of translational medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 31% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
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  3. Article
  4. Review
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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

7 authors at 3 institutions in 1 country.

Seon Cheol ParkDepartment of Internal Medicine, National Health Insurance Service Ilsan Hospital, Goyang, Republic of Korea.
Sun Young WonDepartment of Internal Medicine, National Health Insurance Service Ilsan Hospital, Goyang, Republic of Korea.
Na Hye KimDepartment of Internal Medicine, National Health Insurance Service Ilsan Hospital, Goyang, Republic of Korea.
Heun ChoiDepartment of Internal Medicine, National Health Insurance Service Ilsan Hospital, Goyang, Republic of Korea.
Tae Mi YoukResearch Institute, National Health Insurance Service Ilsan Hospital, Goyang, Republic of Korea.
Hyun Jung LeeDepartment of Internal Medicine and Liver Research Institute, Seoul National University College of Medicine, Seoul, Republic Korea.
Han Ho JeonDepartment of Internal Medicine, National Health Insurance Service Ilsan Hospital, Goyang, Republic of Korea.
National Health Insurance Service · KRNational Health Insurance Service Ilsan Hospital · KRSeoul National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe coronavirus disease 2019 (COVID-19) has rapidly turned into a public health emergency worldwide; however, the risk factors for infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) have not been well-described. We aimed to identify the clinical risk factors for SARS-CoV-2 infections in Korea, where social distancing and face masks have been strongly recommended.

methodsThe data of individuals who underwent the reverse transcription polymerase chain reaction test for SARS-CoV-2 between January 3 and May 31, 2020 were retrieved from the Health Insurance Review and Assessment Service dataset. We used multivariable logistic regression models to identify the risk factors for SARS-CoV-2 infections in the population.

resultsWe retrieved the results of 219,729 SARS-CoV-2 tests, of which 7,333 were positive results. In the multivariable analysis, female sex was associated with a higher risk of testing positive for SARS-CoV-2 [odds ratio (OR) =1.30, 95% confidence interval (CI): 1.24-1.37, P<0.0001]. Additionally, populations living in areas that had large outbreaks of COVID-19 were at an increased risk of testing positive for SARS-CoV-2 (OR =6.87, 95% CI: 6.55-7.21, P<0.0001). The odds of a positive test were greater for the Medical Aid beneficiaries (OR =1.99, 95% CI: 1.82-2.18, P<0.0001) than for the National Health Insurance beneficiaries. Individuals with diabetes mellitus (DM) were more likely to test positive (OR =1.15, 95% CI: 1.07-1.24, P=0.0002).

conclusionsWomen, individuals living in areas with large outbreaks of COVID-19, Medical Aid beneficiaries, and individuals with DM might have greater risks of contracting SARS-CoV-2 infections despite practicing social distancing and using face masks.

Indexed as

coronavirus disease 2019 (COVID-19)risk factorsSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)

Identifiers

PMID33708838
PMCPMC7940880
OpenAlexW3123528758

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.