Evidence map›Paper›PMID 34305236›Full record

SynthesisIranian journal of medical sciences2021

The Interrelationship between Liver Function Test and the Coronavirus Disease 2019: A Systematic Review and Meta-Analysis.

Mohammad Zahedi, Mohammad Yousefi, Mahdi Abounoori, Mohammad Malekan, Fatemeh Tajik, Keyvan Heydari, Parham Mortazavi, Sulmaz Ghahramani, Monireh Ghazaeian, Fateme Sheydaee and 2 more

Open access · greenAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Iranian journal of medical sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.6field-weighted citation impact, top 30% 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

8 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Observational
  3. Article
  4. Review
  5. Review
  6. Article
  7. Review
  8. Article
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

12 authors at 4 institutions in 1 country.

Mohammad ZahediDepartment of Laboratory Sciences, School of Allied Medical Science, Student Research Committee, Mazandaran University of Medical Sciences, Sari, Iran.
Mohammad YousefiDepartment of Medicine, School of Medicine, Semnan University of Medical Sciences, Semnan, Iran.
Mahdi AbounooriStudent Research Committee, School of Medicine, Mazandaran University of Medical Sciences, Sari, Iran.
Mohammad MalekanStudent Research Committee, School of Medicine, Mazandaran University of Medical Sciences, Sari, Iran.
Fatemeh TajikDepartment of Medicine, School of Medicine, Azad University of Tehran, Tehran, Iran.
Keyvan HeydariGastrointestinal Cancer Research Center, Mazandaran University of Medical Sciences, Sari, Iran.
Parham MortazaviStudent Research Committee, School of Pharmacy, Mazandaran University of Medical Sciences, Sari, Iran.
Sulmaz GhahramaniHealth Policy Research Center, Institute of Health, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran.
Monireh GhazaeianDepartment of Clinical Pharmacy, School of Pharmacy, Mazandaran University of Medical Sciences, Sari, Iran.
Fateme SheydaeeDepartment of Medicine, School of Medicine, Semnan University of Medical Sciences, Semnan, Iran.
Amirreza NasirzadehStudent of Basic Sciences in Nursing, Student Research Committee, Gonabad University of Medical Sciences, Gonabad, Iran.
Reza Alizadeh-NavaeiGastrointestinal Cancer Research Center, Mazandaran University of Medical Sciences, Sari, Iran.
Mazandaran University of Medical Sciences · IRSemnan University of Medical Sciences · IRGonabad University of Medical Sciences · IRShiraz University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The outbreak of the coronavirus disease-2019 (COVID-19) has become a global public health challenge. Assessing the effect of COVID-19 on liver injury is of great importance. A systematic review and meta-analysis were conducted to establish the characteristics of liver function tests in COVID-19 patients. Methods: A systematic search of publications from December 2019 up to April 2020 in Web of Science, Scopus, and Medline (via PubMed) databases was performed. Both cross-sectional and case series studies reporting an association between liver injury and COVID-19 infection were included. The data were analyzed using the STATA software (version 11.0) and the random-effects model for I Results: In this meta-analysis, 42 articles comprising a total of 6,557 COVID-19 patients were studied. The prevalence of increase in alanine aminotransferase (ALT) and aspartate aminotransferase (AST) levels was 30% and 21% in non-severe patients and 38% and 48% in severe patients, respectively. Patients with severe COVID-19 infection were 4.22, 4.96, and 4.13 times more likely to have elevated AST, ALT, and lactate dehydrogenase (LDH) levels, respectively. Conclusion: Elevation in liver function tests was higher in patients with severe than non-severe COVID-19 infection. Given the widespread use of drugs that increases the risk of hepatotoxicity, healthcare providers should be aware of changes in liver enzymes in COVID-19 patients. The inclusion of other studies from outside China could confirm the pattern of elevation in liver function tests in COVID-19 patients across the globe. Preprint of this article is available on medRxiv, https://www.medrxiv.org/content/10.1101/2020.05.20.20108357v1.

Indexed as

Liver Function TestsAlanine TransaminaseAspartate AminotransferasesCOVID-19HumansLiverLiver DiseasesL-Lactate DehydrogenaseAlanine TransaminaseAspartate AminotransferasesL-Lactate DehydrogenaseCOVID-19Liver function testsSARS-CoV-2

Identifiers

PMID34305236
PMCPMC8288495
OpenAlexW3173160118

What OpenQuestion holds

Textmetadata
LicenceCC BY-ND
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.