Evidence map›Paper›PMID 36817905›Full record

SynthesisFrontiers in public health2023

Liver injury associated with the severity of COVID-19: A meta-analysis.

Ruiqi Yang, Jihua Feng, Huan Wan, Xiaona Zeng, Pan Ji, Jianfeng Zhang

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Frontiers in public health, 2023. 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
2.5field-weighted citation impact, top 11% 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, 13 citations in OpenAlex.

  1. Review
  2. The peptidoglycan ofScience translational medicine · 2025
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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

6 authors at 1 institution in 1 country.

Ruiqi YangDepartment of Emergency Medicine, The Second Affiliated Hospital of Guangxi Medical University, Nanning, China.
Jihua FengDepartment of Emergency Medicine, The Second Affiliated Hospital of Guangxi Medical University, Nanning, China.
Huan WanDepartment of Emergency Medicine, The Second Affiliated Hospital of Guangxi Medical University, Nanning, China.
Xiaona ZengDepartment of Emergency Medicine, The Second Affiliated Hospital of Guangxi Medical University, Nanning, China.
Pan JiDepartment of Emergency Medicine, The Second Affiliated Hospital of Guangxi Medical University, Nanning, China.
Jianfeng ZhangDepartment of Emergency Medicine, The Second Affiliated Hospital of Guangxi Medical University, Nanning, China.
Guangxi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The current 2019 novel coronavirus disease (COVID-19) pandemic is a major threat to global health. It is currently uncertain whether and how liver injury affects the severity of COVID-19. Therefore, we conducted a meta-analysis to determine the association between liver injury and the severity of COVID-19. Methods: A systematic search of the PubMed, Embase, and Cochrane Library databases from inception to August 12, 2022, was performed to analyse the reported liver chemistry data for patients diagnosed with COVID-19. The pooled odds ratio (OR), weighted mean difference (WMD) and 95% confidence interval (95% CI) were assessed using a random-effects model. Furthermore, publication bias and sensitivity were analyzed. Results: Forty-six studies with 28,663 patients were included. The pooled WMDs of alanine aminotransferase (WMD = 12.87 U/L, 95% CI: 10.52-15.23, Conclusions: Hepatocellular injury, liver metabolic, and synthetic function abnormality were observed in severe COVID-19. From a clinical perspective, liver injury has potential as a prognostic biomarker for screening severely affected patients at early disease stages. Systematic review registration: https://www.crd.york.ac.uk/prospero/, Identifier: CRD42022325206.

Indexed as

COVID-19HumansLiverSARS-CoV-2coronavirusCOVID-19liver chemistryliver injurymeta-analysis

Identifiers

PMID36817905
PMCPMC9932800
OpenAlexW4318998227

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.