Evidence map›Paper›PMID 34440095›Full record

ArticleBiomedicines2021

Circulatory Inflammatory Mediators in the Prediction of Anti-Tuberculous Drug-Induced Liver Injury Using RUCAM for Causality Assessment.

Cheng-Maw Ho, Chi-Ling Chen, Chia-Hao Chang, Meng-Rui Lee, Jann-Yuan Wang, Rey-Heng Hu, Po-Huang Lee

Abstract read
In one paragraph

Article in Biomedicines, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–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

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

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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

7 authors.

Cheng-Maw HoDepartment of Surgery, National Taiwan University Hospital and College of Medicine, Taipei 10617, Taiwan.ORCID 0000-0003-1874-7615
Chi-Ling ChenGraduate Institute of Clinical Medicine, National Taiwan University, Taipei 10617, Taiwan.
Chia-Hao ChangDepartment of Internal Medicine, National Taiwan University Hospital, Hsinchu Branch, Hsinchu City 300, Taiwan.ORCID 0000-0003-2287-0149
Meng-Rui LeeDepartment of Internal Medicine, National Taiwan University Hospital, Hsinchu Branch, Hsinchu City 300, Taiwan.ORCID 0000-0002-7220-4833
Jann-Yuan WangDepartment of Internal Medicine, National Taiwan University Hospital, Hsinchu Branch, Hsinchu City 300, Taiwan.ORCID 0000-0003-3406-366X
Rey-Heng HuDepartment of Surgery, National Taiwan University Hospital and College of Medicine, Taipei 10617, Taiwan.
Po-Huang LeeDepartment of Surgery, National Taiwan University Hospital and College of Medicine, Taipei 10617, Taiwan.

Funding

National Taiwan University Hospital NTUH 110-S4821
6 · The paper itself

Abstract

backgroundAnti-tuberculous (TB) medications are common causes of drug-induced liver injury (DILI). Limited data are available on systemic inflammatory mediators as biomarkers for predicting DILI before treatment. We aimed to select predictive markers among potential candidates and to formulate a predictive model of DILI for TB patients.

methodsAdult active TB patients from a prospective cohort were enrolled, and all participants received standard anti-tuberculous treatment. Development of DILI, defined as ≥5× ULN for alanine transaminase or ≥2.6× ULN of total bilirubin with causality assessment (RUCAM, Roussel Uclaf causality assessment method), was regularly monitored. Pre-treatment plasma was assayed for 15 candidates, and a set of risk prediction scores was established using Cox regression and receiver-operating characteristic analyses.

resultsA total of 19 (7.9%) in 240 patients developed DILI (including six carriers of hepatitis B virus) following anti-TB treatment. Interleukin (IL)-22 binding protein (BP), interferon gamma-induced protein 1 (IP-10), soluble CD163 (sCD163), IL-6, and CD206 were significant univariable factors associated with DILI development, and the former three were backward selected as multivariable factors, with adjusted hazards of 0.20 (0.07-0.58), 3.71 (1.35-10.21), and 3.28 (1.07-10.06), respectively. A score set composed of IL-22BP, IP-10, and sCD163 had an improved area under the curve of 0.744 (

conclusionsPre-treatment IL-22BP was a protective biomarker against DILI development under anti-TB treatment, and a score set by additional risk factors of IP-10 and sCD163 employed an adequate DILI prediction.

Indexed as

drug-induced liver injuryhepatotoxicityinflammatory mediatorsprediction modelRUCAM (Roussel Uclaf Causality Assessment Method)tuberculosis

Identifiers

PMID34440095
PMCPMC8389605

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