Evidence map›Paper›PMID 36061633›Full record

ArticleThe Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale2022

Relationship between Metabolic Syndrome Components and COVID-19 Disease Severity in Hospitalized Patients: A Pilot Study.

Hande Erman, Banu Boyuk, Meltem Sertbas, Ali Ozdemir

Abstract read
In one paragraph

Article in The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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.

Hande ErmanDepartment of Internal Medicine, University of Health Science, Kartal Dr Lutfi Kirdar City Hospital, Istanbul, Turkey.ORCID https://orcid.org/0000-0001-7213-9624
Banu BoyukDepartment of Internal Medicine, University of Health Science, Kartal Dr Lutfi Kirdar City Hospital, Istanbul, Turkey.ORCID https://orcid.org/0000-0001-7794-4411
Meltem SertbasDepartment of Internal Medicine, University of Health Science, Fatih Sultan Mehmet Education and Research Hospital, Istanbul, Turkey.ORCID https://orcid.org/0000-0001-8987-7199
Ali OzdemirDepartment of Internal Medicine, University of Health Science, Fatih Sultan Mehmet Education and Research Hospital, Istanbul, Turkey.ORCID https://orcid.org/0000-0002-8087-9654

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Preliminary data suggest that patients with comorbidities are more susceptible to severe COVID-19 infection. However, data regarding the presence of metabolic syndrome (MetS) in patients with COVID-19 are scarce. Aim: In the present study, we aim to investigate the association between MetS components and disease severity in hospitalized COVID-19 patients. Methods: We conducted a prospective observational study of 90 hospitalized patients with COVID-19 pneumonia at a tertiary hospital. The study population consisted of inpatients who tested positive by the reverse transcription polymerase chain reaction (RT-PCR) for SARS-CoV-2. Patients with critical COVID-19 disease on admission were excluded. Adult Treatment Panel III of the National Cholesterol Education Program (NCEP-ATP III) criteria were used to define MetS. Laboratory analysis and thorax CT were performed on admission. Results: 90 patients, 60 moderate and 30 severe COVID-19 patients, included in the study. The percentage of MetS cases was higher among severe COVID-19 patients ( Conclusion: Severe COVID-19 patients have higher rates of MetS. Serum triglycerides, HDL-C, and WC have an impact on disease severity in COVID-19.

Identifiers

PMID36061633
PMCPMC9433267

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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.