Evidence mapPaperPMID 33436893Full record

ArticleScientific reports2021

Increased red cell distribution width predicts severity of drug-induced liver injury: a retrospective study.

Xu Li, Hongqin Xu, Pujun Gao

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. 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
0.8field-weighted citation impact, top 30% 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, 9 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

Xu LiDepartment of Hepatology, The First Hospital of Jilin University, Jilin University, No. 71 Xinmin Street, Changchun, 130021, China.
Hongqin XuDepartment of Hepatology, The First Hospital of Jilin University, Jilin University, No. 71 Xinmin Street, Changchun, 130021, China.
Pujun GaoDepartment of Hepatology, The First Hospital of Jilin University, Jilin University, No. 71 Xinmin Street, Changchun, 130021, China. gpj@jlu.edu.cn.
First Hospital of Jilin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We used a retrospective study design to evaluated the predictive value of red cell distribution width (RDW) for drug-induced liver injury (DILI) severity in Chinese patients with liver biopsy to assist with early DILI management. We included 164 DILI patients with complete laboratory information and medical history. We compared outcomes of 36 patients with severe DILI with outcomes of a control group of 128 patients with mild-to-moderate DILI. Multivariate analyses of risk factors for severe liver injury in Chinese patients with DILI revealed an estimated adjusted odds ratio (AOR) (95% CI) of 4.938 (1.088-22.412) in patients with drinking. Risk for serious liver injury was also increased significantly in patients with dyslipidemia [AOR (95% CI) 3.926 (1.282-12.026)], higher serum total bile acid (TBA) levels [AOR (95% CI) 1.014 (1.009-1.020)] and higher RDW [AOR (95% CI) 1.582 (1.261-1.986)]. The result for area under the curve of 0.905 for TBA levels indicated this variable had high diagnostic performance for predicting DILI severity. Based on an area under the curve value of 0.855, RDW also had superior diagnostic performance in prediction of DILI severity. This performance was not significantly different compared with TBA and was superior compared with other variables, which had area under values ranging from poor to failure (0.527-0.714).The risk for severe DILI was associated with drinking, dyslipidemia, higher TBA levels and RDW values. This study found that RDW and TBA levels were predictors of DILI severity in Chinese patients.

Indexed as

AdultBiomarkersBiopsyChemical and Drug Induced Liver InjuryDyslipidemiasErythrocyte IndicesFemaleHumansLiverMaleMiddle AgedPredictive Value of TestsRetrospective StudiesRisk FactorsROC CurveSeverity of Illness IndexBiomarkers

Identifiers

PMID33436893
PMCPMC7803943
OpenAlexW3119962973

What Socratic holds

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Registered trials

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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 Socratic graph.