Evidence map›Paper›PMID 35387350›Full record

ArticleFrontiers in pharmacology2022

Association Between Drug Treatments and the Incidence of Liver Injury in Hospitalized Patients With COVID-19.

Suyu Gao, Qingqing Yang, Xuanxuan Wang, Wen Hu, Yun Lu, Kun Yang, Qiaoli Jiang, Wenjing Li, Haibo Song, Feng Sun and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in pharmacology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.8field-weighted citation impact, top 18% 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

4 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Review
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  4. 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

11 authors at 4 institutions in 1 country.

Suyu GaoDepartment of Pharmacy, Zhongnan Hospital of Wuhan University, Wuhan, China.
Qingqing YangDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Xuanxuan WangDepartment of Pharmacy, Zhongnan Hospital of Wuhan University, Wuhan, China.
Wen HuDepartment of Pharmacy, Zhongnan Hospital of Wuhan University, Wuhan, China.
Yun LuDepartment of Pharmacy, Zhongnan Hospital of Wuhan University, Wuhan, China.
Kun YangDepartment of Pharmacy, Zhongnan Hospital of Wuhan University, Wuhan, China.
Qiaoli JiangDepartment of Pharmacy, Zhongnan Hospital of Wuhan University, Wuhan, China.
Wenjing LiDepartment of Pharmacy, Zhongnan Hospital of Wuhan University, Wuhan, China.
Haibo SongKey Laboratory for Research and Evaluation of Pharmacovigilance, National Medical Products Administration, Beijing, China.
Feng SunDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Hong ChengDepartment of Pharmacy, Zhongnan Hospital of Wuhan University, Wuhan, China.
Wuhan University · CNZhongnan Hospital of Wuhan University · CNPeking University · CNNational Medical Products Administration · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The outbreak of coronavirus disease 2019 (COVID-19) has led to the emergence of global health care. In this study, we aimed to explore the association between drug treatments and the incidence of drug-induced liver injury (DILI) in hospitalized patients with COVID-19. A retrospective study was conducted on 5113 COVID-19 patients in Hubei province, among which 395 incurred liver injury. Hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated by Cox proportional hazards models. The results showed that COVID-19 patients who received antibiotics (HR 1.97, 95% CI: 1.55-2.51,

Indexed as

COVID-19drug-induced liver injury (DILI)drug treatmentmulti-center retrospective studyrisk factors

Identifiers

PMID35387350
PMCPMC8978013
OpenAlexW4220737611

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.