Evidence map›Paper›PMID 37122601›Full record

ReviewWorld journal of gastroenterology2023

Insight into the liver dysfunction in COVID-19 patients: Molecular mechanisms and possible therapeutic strategies.

Naina Khullar, Jasvinder Singh Bhatti, Satwinder Singh, Bhawana Thukral, P Hemachandra Reddy, Gurjit Kaur Bhatti

Open access · hybridAbstract readReview
In one paragraph

Review in World journal of gastroenterology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.4field-weighted citation impact, top 21% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Observational
  2. Article
  3. 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

6 authors at 2 institutions in 2 countries.

Naina KhullarDepartment of Zoology, Mata Gujri College, Fatehgarh Sahib 140407, Punjab, India.
Jasvinder Singh BhattiLaboratory of Translational Medicine and Nanotherapeutics, Department of Human Genetics and Molecular Medicine, School of Health Sciences, Central University of Punjab, Bathinda 151401, Punjab, India.
Satwinder SinghDepartment of Computer Science and Technology, Central University of Punjab, Bathinda 151401, Punjab, India.
Bhawana ThukralDepartment of Nutrition and Dietetics, University Institute of Applied Health Sciences, Chandigarh University, Mohali 140413, Punjab, India.
P Hemachandra ReddyDepartment of Internal Medicine, Texas Tech University Health Sciences Center, Lubbock, TX 79430, United States.
Gurjit Kaur BhattiDepartment of Medical Lab Technology, University Institute of Applied Health Sciences, Chandigarh University, Mohali 140413, Punjab, India. bhattigk@yahoo.com.
Central University of Punjab · INTexas Tech University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As of June 2022, more than 530 million people worldwide have become ill with coronavirus disease 2019 (COVID-19). Although COVID-19 is most commonly associated with respiratory distress (severe acute respiratory syndrome), meta-analysis have indicated that liver dysfunction also occurs in patients with severe symptoms. Current studies revealed distinctive patterning in the receptors on the hepatic cells that helps in viral invasion through the expression of angiotensin-converting enzyme receptors. It has also been reported that in some patients with COVID-19, therapeutic strategies, including repurposed drugs (mitifovir, lopinavir/ritonavir, tocilizumab,

Indexed as

COVID-19Liver DiseasesHumansSARS-CoV-2COVID-19Cytokine stormLiver damageMolecular mechanismsPharmacotherapy

Identifiers

PMID37122601
PMCPMC10130970
OpenAlexW4365152715

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.