Evidence map›Paper›PMID 28341748›Full record

ReviewGut2017

Drug-induced liver injury: recent advances in diagnosis and risk assessment.

Gerd A Kullak-Ublick, Raul J Andrade, Michael Merz, Peter End, Andreas Benesic, Alexander L Gerbes, Guruprasad P Aithal

Registry-linked trialAbstract readReview
In one paragraph

Review in Gut, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05711459 (A Prospective and Multicenter Cohort Study of Bicyclol in the Treatment of Antineoplastic Drug-induced Liver Injury.), which is not on this map. Cited by 193 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
193citing papers in PubMed, 3 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.

NCT05711459 naunknown statusnot on this mapstarted 2022, after this paper: background citation

A Prospective and Multicenter Cohort Study of Bicyclol in the Treatment of Antineoplastic Drug-induced Liver Injury.

TypeinterventionalSponsorTianjin Medical University Cancer Institute and HospitalRan2022 to 2024Enrolled5,405ConditionsDrug-Induced Acute Liver InjuryArmsBicyclol tablets
3 · Its place in the literature

Who cites it

193 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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133 more citing papers are in PubMed but not listed here.

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

7 authors.

Gerd A Kullak-UblickDepartment of Clinical Pharmacology and Toxicology, University Hospital Zurich and University of Zurich, Zurich, Switzerland.
Raul J AndradeUnidad de Gestión Clínica de Aparato Digestivo, Instituto de Investigación Biomédica de Málaga-IBIMA, Hospital Universitario Virgen de la Victoria, Universidad de Málaga, Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Málaga, Spain.
Michael MerzNovartis Institutes for BioMedical Research, Novartis Campus, Basel, Switzerland.
Peter EndNovartis Institutes for BioMedical Research, Novartis Campus, Basel, Switzerland.
Andreas BenesicDepartment of Medicine II, Klinikum Grosshadern of the University of Munich (KUM), University of Munich, Munich, Germany.ORCID 0000-0001-8387-1319
Alexander L GerbesDepartment of Medicine II, Klinikum Grosshadern of the University of Munich (KUM), University of Munich, Munich, Germany.
Guruprasad P AithalNational Institute for Health Research (NIHR), Nottingham Digestive Diseases Biomedical Research Unit, Nottingham University Hospitals NHS Trust and the University of Nottingham, Nottingham, UK.

Funding

Medical Research Council MR/N005953/1
6 · The paper itself

Abstract

Idiosyncratic drug-induced liver injury (IDILI) is a rare but potentially severe adverse drug reaction that should be considered in patients who develop laboratory criteria for liver injury secondary to the administration of a potentially hepatotoxic drug. Although currently used liver parameters are sensitive in detecting DILI, they are neither specific nor able to predict the patient's subsequent clinical course. Genetic risk assessment is useful mainly due to its high negative predictive value, with several human leucocyte antigen alleles being associated with DILI. New emerging biomarkers which could be useful in assessing DILI include total keratin18 (K18) and caspase-cleaved keratin18 (ccK18), macrophage colony-stimulating factor receptor 1, high mobility group box 1 and microRNA-122. From the numerous in vitro test systems that are available, monocyte-derived hepatocytes generated from patients with DILI show promise in identifying the DILI-causing agent from among a panel of coprescribed drugs. Several computer-based algorithms are available that rely on cumulative scores of known risk factors such as the administered dose or potential liabilities such as mitochondrial toxicity, inhibition of the bile salt export pump or the formation of reactive metabolites. A novel DILI cluster score is being developed which predicts DILI from multiple complimentary cluster and classification models using absorption-distribution-metabolism-elimination-related as well as physicochemical properties, diverse substructural descriptors and known structural liabilities. The provision of more advanced scientific and regulatory guidance for liver safety assessment will depend on validating the new diagnostic markers in the ongoing DILI registries, biobanks and public-private partnerships.

Indexed as

Alanine TransaminaseAlgorithmsAlkaline PhosphataseAnimalsAspartate AminotransferasesAutoantibodiesBilirubinBiomarkersCells, CulturedChemical and Drug Induced Liver InjuryComputer SimulationGenetic TestingHepatocytesHLA AntigensHumansKeratin-18Alanine TransaminaseAlkaline PhosphataseAspartate AminotransferasesAutoantibodiesBilirubinBiomarkersHLA AntigensKeratin-18MicroRNAsMIRN122 microRNA, humanADVERSE DRUG REACTIONSBILE ACIDDRUG INDUCED HEPATOTOXICITYHEPATOBILIARY DISEASEPHARMACOGENETICS

Identifiers

PMID28341748
PMCPMC5532458

What OpenQuestion holds

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Registered trials

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.