Evidence map›Paper›PMID 34696368›Full record

SynthesisViruses2021

Prognostic Role of Metabolic Syndrome in COVID-19 Patients: A Systematic Review Meta-Analysis.

Marco Zuin, Gianluca Rigatelli, Claudio Bilato, Carlo Cervellati, Giovanni Zuliani, Loris Roncon

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Viruses, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Observational
  4. Article
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  9. 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

6 authors.

Marco ZuinDepartment of Translational Medicine, Faculty of Medicine, University of Ferrara, 44100 Ferrara, Italy.
Gianluca RigatelliDepartment of Cardiology, Santa Maria Della Misericordia Hospital, 45100 Rovigo, Italy.
Claudio BilatoDivision of Cardiology, West Vicenza General Hospitals, Arzignano, 36071 Vicenza, Italy.
Carlo CervellatiDepartment of Translational Medicine, Faculty of Medicine, University of Ferrara, 44100 Ferrara, Italy.
Giovanni ZulianiDepartment of Translational Medicine, Faculty of Medicine, University of Ferrara, 44100 Ferrara, Italy.
Loris RonconDepartment of Cardiology, Santa Maria Della Misericordia Hospital, 45100 Rovigo, Italy.ORCID 0000-0001-9164-9160

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe prevalence and prognostic implications of metabolic syndrome (MetS) in patients infected by the SARS-CoV-2 remain unclear. We performed a systematic review and meta-analysis of prevalence and mortality risk in COVID-19 patients with MetS.

methodsPreferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines were followed in abstracting data and assessing validity. We searched MEDLINE and Scopus to locate every article published up to 1 September 2021, reporting data on MetS among COVID-19 patients. The pooled prevalence of MetS was calculated using a random effects model and presented using the related 95% confidence interval (CI), while the mortality risk was estimated using the Mantel-Haenszel random effects models with odds ratio (OR) and related 95% CI. Statistical heterogeneity was measured using the Higgins I

resultsSix studies, enrolling 209.569 COVID-19 patients [mean age 57.2 years, 114.188 males (54.4%)] met the inclusion criteria and were included in the final analysis. The pooled prevalence of dyslipidaemia was 20.5% of cases (95% CI: 6.7-47.8%,

conclusionsMetS represents a major comorbidity in about 20% of COVID-19 patients and it is associated with a 230% increased risk of short-term mortality.

Indexed as

AdultAgedComorbidityCOVID-19FemaleHumansMaleMetabolic SyndromeMiddle AgedPrevalencePrognosisSARS-CoV-2COVID-19dyslipidaemiametabolic syndromemortalityprevalence

Identifiers

PMID34696368
PMCPMC8538673

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.