Evidence map›Paper›PMID 33551355›Full record

ArticleDigestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver2021

Liver fibrosis in patients with metabolic associated fatty liver disease is a risk factor for adverse outcomes in COVID-19.

Alejandro Campos-Murguía, Berenice Monserrat Román-Calleja, Israel Vicente Toledo-Coronado, José Alberto González-Regueiro, Alberto Adrián Solís-Ortega, Deyanira Kúsulas-Delint, Mariana Cruz-Contreras, Nabila Cruz-Yedra, Francisco Javier Cubero, Yulia Alexandrowna Nevzorova and 8 more

Open access · bronzeAbstract read
In one paragraph

Article in Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
5.1field-weighted citation impact, top 4% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.

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  9. Prevalence and Risk Factors of Metabolic-Associated Fatty Liver Disease Among Hospital Staff.Diabetes, metabolic syndrome and obesity : targets and therapy · 2023
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  15. COVID-19, adaptative immune response and metabolic-associated liver disease.Liver international : official journal of the International Association for the Study of the Liver · 2021
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors at 3 institutions in 4 countries.

Alejandro Campos-MurguíaDepartment of Gastroenterology, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico.
Berenice Monserrat Román-CallejaDepartment of Gastroenterology, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico.
Israel Vicente Toledo-CoronadoDepartment of Radiology, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico.
José Alberto González-RegueiroDepartment of Gastroenterology, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico.
Alberto Adrián Solís-OrtegaDepartment of Gastroenterology, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico.
Deyanira Kúsulas-DelintDepartment of Gastroenterology, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico.
Mariana Cruz-ContrerasDepartment of Gastroenterology, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico.
Nabila Cruz-YedraDepartment of Gastroenterology, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico.
Francisco Javier CuberoDepartment of Immunology, Ophthalmology and ORL, Complutense University School of Medicine, Madrid, Spain; 12 de Octubre Health Research Institute (IMAS12), Madrid, Spain.
Yulia Alexandrowna NevzorovaDepartment of Immunology, Ophthalmology and ORL, Complutense University School of Medicine, Madrid, Spain; 12 de Octubre Health Research Institute (IMAS12), Madrid, Spain; Department of Internal Medicine III, University Hospital RWTH Aachen, Aachen, Germany.
Carlos Fernando Martínez-CabreraDepartment of Gastroenterology, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico.
Paulina Moreno-GuillénDepartment of Gastroenterology, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico.
Oscar Arturo Lozano-CruzDepartment of Internal Medicine, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico.
Mónica Chapa-IbargüengoitiaDepartment of Radiology, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico.
Alfonso Gulías-HerreroDepartment of Internal Medicine, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico.
Carlos Alberto Aguilar-SalinasDivision of Nutrition, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico; Metabolic Diseases Research Unit (UIEM), Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico.
Astrid Ruiz-MargáinDepartment of Gastroenterology, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico; Liver Fibrosis and Nutrition lab (LFN-Lab), Mexico City, Mexico; MICTLÁN Network: mechanisms of liver injury, cell death and translational nutrition in liver diseases-research network.
Ricardo Ulises Macías-RodríguezDepartment of Gastroenterology, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico; Liver Fibrosis and Nutrition lab (LFN-Lab), Mexico City, Mexico; MICTLÁN Network: mechanisms of liver injury, cell death and translational nutrition in liver diseases-research network. Electronic address: ricardomacro@yahoo.com.mx.
Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán · MXResearch Institute Hospital 12 de Octubre · ESResearch Network (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMetabolic diseases are risk factors for severe Coronavirus disease (COVID-19), which have a close relationship with metabolic dysfunction-associated fatty liver disease (MAFLD).

aimsTo evaluate the presence of MAFLD and fibrosis in patients with COVID-19 and its association with prognosis.

methodsRetrospective cohort study. In hospitalized patients with COVID-19, the presence of liver steatosis was determined by computed tomography scan (CT). Liver fibrosis was assessed using the NAFLD fibrosis score (NFS score), and when altered, the AST to platelet ratio index (APRI) score. Mann-Whitney U, Student´s t-test, logistic regression analysis, Kaplan-Meier curves and Cox regression analysis were used.

results432 patients were analyzed, finding steatosis in 40.6%. No differences in pulmonary involvement on CT scan, treatment, or number of days between the onset of symptoms and hospital admission were found between patients with and without MAFLD. The presence of liver fibrosis was associated with higher severity scores, higher levels of inflammatory markers, requirement of mechanical ventilation, incidence of acute kidney injury (AKI), and higher mortality than patients without fibrosis.

conclusionThe presence of fibrosis rather than the presence of MAFLD is associated with increased risk for mechanical ventilation, development of AKI, and higher mortality in COVID-19 patients.

Indexed as

COVID-19Fatty LiverLiverLiver CirrhosisAspartate AminotransferasesBiomarkersBlood PlateletsFemaleHumansLiver Function TestsMaleMexicoMiddle AgedPrognosisResearch DesignRespiration, ArtificialAspartate AminotransferasesBiomarkerscomputed tomographyliver steatosisprognosisSARS-CoV-2

Identifiers

PMID33551355
PMCPMC8047402
OpenAlexW3127966149

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.