Evidence map›Paper›PMID 32540736›Full record

SynthesisDiabetes & metabolic syndrome

Metabolic dysfunction associated fatty liver disease increases risk of severe Covid-19.

Praveen Sharma, Ashish Kumar

Open access · greenAbstract readSystematic 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 36 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 4 pooled it
6.7field-weighted citation impact, top 2% 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

36 citing papers in PubMed, 4 syntheses or guidelines pooled it, 57 citations in OpenAlex.

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  19. Hepatic Disorders and COVID-19: From Pathophysiology to Treatment Strategy.Canadian journal of gastroenterology & hepatology · 2022
    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

2 authors at 1 institution in 1 country.

Praveen SharmaDepartment of Gastroenterology, Sir Ganga Ram Hospital, New Delhi, India. Electronic address: drpraveen_sharma@yahoo.com.
Ashish KumarDepartment of Gastroenterology, Sir Ganga Ram Hospital, New Delhi, India.
Sir Ganga Ram Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsLiver involvement is common in COVID-19. Elevated aspartate and alanine amino transaminase (AST/ALT) and borderline increase in serum bilirubin and serum alkaline phosphatase (ALP) are the commonest findings. Patients with associated co morbid conditions like obesity, cardiovascular disease, renal disease, malignancy, hypertension and old age are prone to develop severe disease. Limited data is available in patients with COVID-19 and metabolic dysfunction associated fatty liver disease (MAFLD).The aim of this review is to analyse the effect of MAFLD on severity of COVID-19.

methodsWe systematically searched the PubMed database till May 20, 2020 and retrieved all the articles published on COVID-19 and fatty liver/MAFLD/NAFLD.

resultsLimited studies done had shown four to six fold high risk of severe COVID-19 in patients with MAFLD. Patients with MAFLD and associated obesity, severe fibrosis and age <60 yrs are more prone to develop severe COVID-19.

conclusionMAFLD is associated with 4-6 fold increase in severity of COVID-19 compared to non MAFLD patients. Physician and hepatologist should follow these patients cautiously and preventive measures to be taken strictly in these high risk patients.

Indexed as

AdultBetacoronavirusComorbidityCoronavirus InfectionsCOVID-19Fatty LiverHumansLiver Function TestsMetabolic DiseasesMiddle AgedPandemicsPneumonia, ViralRisk FactorsSARS-CoV-2Severity of Illness Index

Identifiers

PMID32540736
PMCPMC7834636
OpenAlexW3035321136

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.