Evidence map›Paper›PMID 32838104›Full record

ArticleHepatology communications2021

Liver Chemistries in Patients With COVID-19 Who Were Discharged Alive or Died: A Meta-analysis.

Qing-Qing Xing, Xuan Dong, Yan-Dan Ren, Wei-Ming Chen, Dan-Yi Zeng, Yan-Yan Cai, Mei-Zhu Hong, Jin-Shui Pan

Open access · goldAbstract read
In one paragraph

Article in Hepatology communications, 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
1.3field-weighted citation impact, top 19% 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, 11 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Review
  5. COVID-19 and liver dysfunction: Epidemiology, association and potential mechanisms.Clinics and research in hepatology and gastroenterology · 2022
    Review
  6. Article
  7. Article
  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

8 authors at 1 institution in 1 country.

Qing-Qing XingLiver Research Centerthe First Affiliated Hospital of Fujian Medical UniversityFuzhouChina.
Xuan DongSchool of MedicineXiamen UniversityXiamenChina.
Yan-Dan RenDepartment of GastroenterologyZhongshan Hospital Affiliated to Xiamen UniversityXiamenChina.
Wei-Ming ChenSchool of MedicineXiamen UniversityXiamenChina.
Dan-Yi ZengSchool of MedicineXiamen UniversityXiamenChina.
Yan-Yan CaiLiver Research Centerthe First Affiliated Hospital of Fujian Medical UniversityFuzhouChina.
Mei-Zhu HongDepartment of Traditional Chinese MedicineZhongshan Hospital Affiliated to Xiamen UniversityXiamenChina.
Jin-Shui PanLiver Research Centerthe First Affiliated Hospital of Fujian Medical UniversityFuzhouChina.ORCID 0000-0002-9586-7760
Fujian Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although abnormal liver chemistries are linked to a higher risk of coronavirus disease 2019 (COVID-19)-related death, liver manifestations may be diverse and even confusing. Thus, we performed a meta-analysis of published liver manifestations and described the liver damage in patients with COVID-19 who died or discharged alive. We searched PubMed, Google Scholar, medRxiv, bioRxiv, the Cochrane Library, Embase, and three Chinese electronic databases through April 22, 2020. We analyzed pooled data on liver chemistries stratified by the main clinical outcome of COVID-19, using a fixed or random-effects model. In our meta-analysis of 19 studies, which included a total of 4,103 patients, the pooled mean alanine aminotransferase and aspartate aminotransferase levels were, respectively, 31.7 IU/L and 51.0 IU/L in the patients with COVID-19 who died and 27.7 IU/L and 32.9 IU/L in those discharged alive (both

Identifiers

PMID32838104
PMCPMC7404606
OpenAlexW3045031948

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-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.