Evidence map›Paper›PMID 36177413›Full record

ArticleJournal of education and health promotion2022

Evaluation of coronavirus diseases (COVID-19) in terms of epidemiological and clinical features, comorbidities, diagnostic methods, treatment, and mortality.

Nedim Çekmen, Zeynep Ersoy, Yağız Ilteriş Günay, Amir Aslan Ghavam, Muhammed Yavuz Selim Tufan, İbrahim Mete Şahin

Abstract read
In one paragraph

Article in Journal of education and health promotion, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

6 citing papers in PubMed.

  1. Observational
  2. Article
  3. Article
  4. Article
  5. Review
  6. Relevance ofFrontiers in immunology · 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

6 authors.

Nedim ÇekmenDepartment of Anesthesiology and Intensive Care, Faculty of Medicine, Baskent University, Ankara, Turkey.
Zeynep ErsoyDepartment of Anesthesiology and Intensive Care, Faculty of Medicine, Baskent University, Ankara, Turkey.
Yağız Ilteriş GünayFaculty of Medicine, Baskent University, Ankara, Turkey.
Amir Aslan GhavamFaculty of Medicine, Baskent University, Ankara, Turkey.
Muhammed Yavuz Selim TufanFaculty of Medicine, Baskent University, Ankara, Turkey.
İbrahim Mete ŞahinFaculty of Medicine, Baskent University, Ankara, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSevere acute respiratory syndrome coronavirus-2 (SARS-CoV-2) causes COVID-19. On March 11, 2020, the WHO declared it a pandemic. SARS-CoV-2 indicates that it poses a significant threat to public health and global economy. The aim of the study was to determine (a) patient characteristics, (b) demographic characteristics, (c) comorbidities, diagnostic methods used, treatment, and outcomes, and (d) mortality rates of patients. MATERIALS AND

methodsThis retrospective cohort study included 352 hospitalized adult patients from Baskent University Hospital in Ankara who were confirmed cases of COVID-19 between March 2020 and March 2021. SPSS v. 14.0 was used for statistical analysis.

resultsOut of 352 patients, 55 died (males: 37, females: 18), while 297 survived (males: 162, females: 135). The most common comorbidities were hypertension (HT), diabetes mellitus (DM), coronary artery disease (CAD), cancer, Vitamin D deficiency, and chronic obstructive pulmonary disease. Comorbidities associated with mortality rate were obesity (33%) (

conclusionsOur study shows that male gender, advanced age, and presence of comorbidities in COVID 19 patients are at higher risk for severe disease, ICU admission, and death. We emphasize that morbidity and mortality can be reduced by early and comprehensive identification of risk factors and the warning systems that will meet the ICU needs of these patients.

Indexed as

ComorbiditiesCOVID-19demographyearly identificationmorbiditymortality

Identifiers

PMID36177413
PMCPMC9514254

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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.