Evidence map›Paper›PMID 32771919›Full record

SynthesisDiabetes & metabolic syndrome

Dyslipidemia is associated with severe coronavirus disease 2019 (COVID-19) infection.

Timotius Ivan Hariyanto, Andree Kurniawan

Open access · greenAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Diabetes & metabolic syndrome. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
76citing papers in PubMed, 10 pooled it
2.8field-weighted citation impact, top 5% 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

76 citing papers in PubMed, 10 syntheses or guidelines pooled it, 128 citations in OpenAlex.

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  6. Statin and outcomes of coronavirus disease 2019 (COVID-19): A systematic review, meta-analysis, and meta-regression.Nutrition, metabolism, and cardiovascular diseases : NMCD · 2021 · on this map
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16 more citing papers are in PubMed but not listed here.

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

2 authors at 1 institution in 1 country.

Timotius Ivan HariyantoFaculty of Medicine, Pelita Harapan University, Boulevard Jendral Sudirman Street, Karawaci, Tangerang, 15811, Indonesia.
Andree KurniawanDepartment of Internal Medicine, Faculty of Medicine, Pelita Harapan University, Boulevard Jendral Sudirman Street, Karawaci, Tangerang, 15811, Indonesia. Electronic address: andree.kurniawan@uph.edu.
Pelita Harapan University · ID

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsThe number of positive and death cases from coronavirus disease 2019 (COVID-19) is still increasing. The identification of risk factors for severe outcomes is important. Dyslipidemia has been shown as a long-known risk factor for cardiovascular disease. The aim of this study is to analyze the potential association between dyslipidemia and the severity of COVID-19 infection.

methodsWe systematically searched the PubMed database using specific keywords related to our aims until July 9th, 2020. All articles published on COVID-19 and dyslipidemia were retrieved. Statistical analysis was done using Review Manager 5.4 software.

resultsA total of 7 studies with a total of 6922 patients were included in our analysis. Our meta-analysis showed that dyslipidemia is associated with severe COVID-19 infections [RR 1.39 (95% CI 1.03-1.87), p = 0.03, I

conclusionDyslipidemia increases the risk of the development of severe outcomes from COVID-19 infections. Patients with dyslipidemia should be monitored closely to minimize the risk of COVID-19.

Indexed as

BetacoronavirusCoronavirus InfectionsCOVID-19DyslipidemiasHumansPandemicsPneumonia, ViralSARS-CoV-2Coronavirus disease 2019COVID-19DyslipidemiaMetabolic diseaseMetabolic syndrome

Identifiers

PMID32771919
PMCPMC7395301
OpenAlexW3046525138

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.