Evidence map›Paper›PMID 34399709›Full record

ArticleBMC infectious diseases2021

Dynamic changes in liver function parameters in patients with coronavirus disease 2019: a multicentre, retrospective study.

Qing-Lei Zeng, Zu-Jiang Yu, Fanpu Ji, Guang-Ming Li, Guo-Fan Zhang, Jiang-Hai Xu, Wan-Bao Lin, Guo-Qiang Zhang, Guo-Tao Li, Guang-Lin Cui and 1 more

Abstract readMulticenter Study
In one paragraph

Article in BMC infectious diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

11 authors.

Qing-Lei Zeng *Department of Infectious Diseases and Hepatology, The First Affiliated Hospital of Zhengzhou University, No. 1 Eastern Jianshe Road, Zhengzhou, 450052, Henan, China. zengqinglei2009@163.com.
Zu-Jiang Yu *Department of Infectious Diseases and Hepatology, The First Affiliated Hospital of Zhengzhou University, No. 1 Eastern Jianshe Road, Zhengzhou, 450052, Henan, China.
Fanpu Ji *Department of Infectious Diseases, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Guang-Ming LiDepartment of Infectious Diseases, The Sixth People's Hospital of Zhengzhou City, Zhengzhou, Henan, China.
Guo-Fan ZhangThe Department of Infectious Diseases, The First Affiliated Hospital of Nanyang Medical College, Nanyang, Henan, China.
Jiang-Hai XuThe Department of Infectious Diseases, The Fifth People's Hospital of Anyang City, Anyang, Henan, China.
Wan-Bao LinThe Department of Infectious Diseases, Xinyang Central Hospital, Xinyang, Henan, China.
Guo-Qiang ZhangThe Department of Infectious Diseases, Luoyang Central Hospital, Luoyang, Henan, China.
Guo-Tao LiDepartment of Clinical Laboratory, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Guang-Lin CuiDepartment of Clinical Laboratory, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Fu-Sheng WangTreatment and Research Center for Infectious Diseases, The Fifth Medical Center of Chinese PLA General Hospital, National Clinical Research Centre for Infectious Diseases, No. 100 Western 4th Middle Ring Road, Fengtai District, Beijing, China. fswang302@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLiver injuries have been reported in patients with coronavirus disease 2019 (COVID-19). This study aimed to investigate the clinical role played by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2).

methodsIn this multicentre, retrospective study, the parameters of liver function tests in COVID-19 inpatients were compared between various time-points in reference to SARS-CoV-2 shedding, and 3 to 7 days before the first detection of viral shedding was regarded as the reference baseline.

resultsIn total, 70 COVID-19 inpatients were enrolled. Twenty-two (31.4%) patients had a self-medication history after illness. At baseline, 10 (14.3%), 7 (10%), 9 (12.9%), 2 (2.9%), 15 (21.4%), and 4 (5.7%) patients already had abnormal alanine aminotransferase (ALT), aspartate aminotransferase (AST), gamma-glutamyl transferase (GGT), alkaline phosphatase (ALP), albumin, and total bilirubin (TBIL) values, respectively. ALT and AST abnormal rates and levels did not show any significant dynamic changes during the full period of viral shedding (all p > 0.05). The GGT abnormal rate (p = 0.008) and level (p = 0.033) significantly increased on day 10 of viral shedding. Meanwhile, no simultaneous significant increases in abnormal ALP rates and levels were observed. TBIL abnormal rates and levels significantly increased on days 1 and 5 of viral shedding (all p < 0.05). Albumin abnormal decrease rates increased, and levels decreased consistently from baseline to SARS-CoV-2 clearance day (all p < 0.05). Thirteen (18.6%) patients had chronic liver disease, two of whom died. The ALT and AST abnormal rates and levels did not increase in patients with chronic liver disease during SARS-CoV-2 shedding.

conclusionsSARS-CoV-2 does not directly lead to elevations in ALT and AST but may result in elevations in GGT and TBIL; albumin decreased extraordinarily even when SARS-CoV-2 shedding ended.

Indexed as

AdultAgedAlanine TransaminaseAspartate AminotransferasesBiomarkersCOVID-19FemaleHumansLiverLiver Function TestsMaleMiddle AgedRetrospective StudiesSARS-CoV-2Severity of Illness IndexAlanine TransaminaseAspartate AminotransferasesBiomarkersAalanine aminotransferaseAspartate aminotransferaseCoronavirus disease 2019Dynamic changesLiver functionLiver injurySevere acute respiratory syndrome coronavirus 2

Identifiers

PMID34399709
PMCPMC8365287

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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.