Evidence map›Paper›PMID 33305058›Full record

ArticleArchives of medical sciences. Atherosclerotic diseases2020

A preliminary study of coronavirus disease 2019 in China: the impact of cardiovascular disease on death risk.

Irene Rethemiotaki

Open access · diamondAbstract read
In one paragraph

Article in Archives of medical sciences. Atherosclerotic diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.2field-weighted citation impact, top 39% 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

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

  1. Pooled it
  2. Ethnicity and other COVID-19 death risk factors in Mexico.Archives of medical science : AMS · 2022
    Article
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

1 author at 1 institution in 1 country.

Irene RethemiotakiDepartment of Production Engineering and Management, Technical University of Crete, Chania, Greece.
Technical University of Crete · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe primary purpose of this work is to study coronavirus disease 2019 (COVID-19) in China and to identify the prognostic characteristics of patients with the highest death risk. MATERIAL AND

methodsThe statistical methods used to derive the results of this work are the chi-square test and one-way analysis of variance (ANOVA) to examine the characteristics of COVID-19 associated deaths. A multiple logistic regression analysis was used with the odds ratio (OR) to find statistically significant prognostic factors with the highest death risk for this type of disease.

resultsAccording to multiple logistic regression analyses, males (OR = 1.68; 95% CI: 1.48-1.91) who are over 50 years old (OR = 7.2; 95% CI: 1.01-51.6) from Hubei (OR = 7.73; 95% CI: 5.71-10.47) have the highest risk of death from this type of disease. Moreover, individuals who are retirees (OR = 2.83; 95% CI: 2.47-3.25) and had a Wuhan-related exposure (OR = 2.17; 95% CI: 1.68-2.79) have two times higher risk of death from COVID-19, while the risk is thirteen times higher with the comorbid condition "cardiovascular disease" (OR = 13.6; 95% CI: 10.3-17.9).

conclusionsThe results of this study describe for the first time the importance of cardiovascular disease as a primary prognostic risk factor for death from coronavirus disease 2019.

Indexed as

cardiovascular diseaseCOVID-19prognostic factors

Identifiers

PMID33305058
PMCPMC7717451
OpenAlexW3086336594

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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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.