Evidence map›Paper›PMID 29146439›Full record

ArticleThe lancet. Gastroenterology & hepatology2018

Risk stratification after paracetamol overdose using mechanistic biomarkers: results from two prospective cohort studies.

James W Dear, Joanna I Clarke, Ben Francis, Lowri Allen, Jonathan Wraight, Jasmine Shen, Paul I Dargan, David Wood, Jamie Cooper, Simon H L Thomas and 4 more

Open access · hybridAbstract read
In one paragraph

Article in The lancet. Gastroenterology & hepatology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed, 3 pooled it
16.5field-weighted citation impact, top 1% 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

57 citing papers in PubMed, 3 syntheses or guidelines pooled it, 132 citations in OpenAlex.

  1. Guideline
  2. [Chinese guideline for diagnosis and management of drug-induced liver injury (2023 version)].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2023
    Guideline
  3. Pooled it
  4. Trial
  5. Trial
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. The Role of Mechanistic Biomarkers in Understanding Acetaminophen Hepatotoxicity in Humans.Drug metabolism and disposition: the biological fate of chemicals · 2024
    Review
  18. Biomarkers of Hepatic Toxicity: An Overview.Current therapeutic research, clinical and experimental · 2024
    Review
  19. Article
  20. The Role of Carbamoyl Phosphate Synthetase 1 as a Prognostic Biomarker in Patients With Acetaminophen-induced Acute Liver Failure.Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association · 2023
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 6 institutions in 1 country.

James W DearPharmacology, Toxicology and Therapeutics, University/BHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK.
Joanna I ClarkeMRC Centre for Drug Safety Science, Department of Molecular & Clinical Pharmacology, University of Liverpool, Liverpool, UK.
Ben FrancisDepartment of Biostatistics Institute of Translational Medicine, University of Liverpool, Liverpool, UK.
Lowri AllenPharmacology, Toxicology and Therapeutics, University/BHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK.
Jonathan WraightPharmacology, Toxicology and Therapeutics, University/BHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK.
Jasmine ShenPharmacology, Toxicology and Therapeutics, University/BHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK.
Paul I DarganClinical Toxicology, Guy's and St Thomas' NHS Foundation Trust, London, UK; Faculty of Life Sciences and Medicine, King's College London, London, UK.
David WoodClinical Toxicology, Guy's and St Thomas' NHS Foundation Trust, London, UK; Faculty of Life Sciences and Medicine, King's College London, London, UK.
Jamie CooperEmergency Department, Aberdeen Royal Infirmary, Aberdeen, UK.
Simon H L ThomasMedical Toxicology Centre, Institute of Cellular Medicine, Newcastle University, Newcastle, UK.
Andrea L JorgensenDepartment of Biostatistics Institute of Translational Medicine, University of Liverpool, Liverpool, UK.
Munir PirmohamedMRC Centre for Drug Safety Science, Department of Molecular & Clinical Pharmacology, University of Liverpool, Liverpool, UK.
B Kevin ParkMRC Centre for Drug Safety Science, Department of Molecular & Clinical Pharmacology, University of Liverpool, Liverpool, UK.
Daniel J AntoineMRC Centre for Drug Safety Science, Department of Molecular & Clinical Pharmacology, University of Liverpool, Liverpool, UK. Electronic address: daniel.antoine@ed.ac.uk.
University of Liverpool · GBUniversity of Edinburgh · GBAberdeen Royal Infirmary · GBGuy's and St Thomas' NHS Foundation Trust · GBKing's College London · GBNewcastle University · GB

Funding

Medical Research Council G0700654Medical Research Council MC_PC_12014Medical Research Council MR/L006758/1Wellcome Trust
6 · The paper itself

Abstract

backgroundParacetamol overdose is common but patient stratification is suboptimal. We investigated the usefulness of new biomarkers that have either enhanced liver specificity (microRNA-122 [miR-122]) or provide mechanistic insights (keratin-18 [K18], high mobility group box-1 [HMGB1], and glutamate dehydrogenase [GLDH]). The use of these biomarkers could help stratify patients for their risk of liver injury at hospital presentation.

methodsUsing data from two prospective cohort studies, we assessed the potential for biomarkers to stratify patients who overdose with paracetamol. We completed two independent prospective studies: a derivation study (MAPP) in eight UK hospitals and a validation study (BIOPAR) in ten UK hospitals. Patients in both cohorts were adults (≥18 years in England, ≥16 years in Scotland), were diagnosed with paracetamol overdose, and gave written informed consent. Patients who needed intravenous acetylcysteine treatment for paracetamol overdose had circulating biomarkers measured at hospital presentation. The primary endpoint was acute liver injury indicating need for continued acetylcysteine treatment beyond the standard course (alanine aminotransferase [ALT] activity >100 U/L). Receiver operating characteristic (ROC) curves, category-free net reclassification index (cfNRI), and integrated discrimination index (IDI) were applied to assess endpoint prediction.

findingsBetween June 2, 2010, and May 29, 2014, 1187 patients who required acetylcysteine treatment for paracetamol overdose were recruited (985 in the MAPP cohort; 202 in the BIOPAR cohort). In the derivation and validation cohorts, acute liver injury was predicted at hospital presentation by miR-122 (derivation cohort ROC-area under the curve [AUC] 0·97 [95% CI 0·95-0·98]), HMGB1 (0·95 [0·93-0·98]), and full-length K18 (0·95 [0·92-0·97]). Results were similar in the validation cohort (miR-122 AUC 0·97 [95% CI 0·95-0·99], HMGB1 0·98 [0·96-0·99], and full-length K18 0·93 [0·86-0·99]). A combined model of miR-122, HMGB1, and K18 predicted acute liver injury better than ALT alone (cfNRI 1·95 [95% CI 1·87-2·03], p<0·0001 in the MAPP cohort; 1·54 [1·08-2·00], p<0·0001 in the BIOPAR cohort).

interpretationPersonalised treatment pathways could be developed by use of miR-122, HMGB1, and full-length K18 at hospital presentation for patient stratification. This prospective study supports their use for hepatic safety assessment of new medicines.

fundingEdinburgh and Lothians Health Foundation, UK Medical Research Council.

Indexed as

AcetaminophenAcetylcysteineAdultAntidotesBiomarkersChemical and Drug Induced Liver InjuryDrug OverdoseFemaleGlutamate DehydrogenaseHMGB1 ProteinHumansKeratin-18MaleMicroRNAsMiddle AgedProspective StudiesAcetaminophenAcetylcysteineAntidotesBiomarkersGlutamate DehydrogenaseHMGB1 ProteinKeratin-18KRT18 protein, humanMicroRNAsMIRN122 microRNA, human

Identifiers

PMID29146439
PMCPMC5777094
OpenAlexW2769420963

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.