Evidence map›Paper›PMID 38238179›Full record

ArticleBMJ open2024

Translating the potential of the urine steroid metabolome to stage NAFLD (TrUSt-NAFLD): study protocol for a multicentre, prospective validation study.

Hamish Miller, David Harman, Guruprasad Padur Aithal, Pinelopi Manousou, Jeremy F Cobbold, Richard Parker, David Sheridan, Philip N Newsome, Fredrik Karpe, Matthew Neville and 6 more

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.4field-weighted citation impact, top 41% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

16 authors at 11 institutions in 4 countries.

Hamish MillerOxford Center for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, UK.ORCID 0000-0002-1198-6093
David HarmanRoyal Berkshire Hospital NHS Foundation Trust, Reading, UK.
Guruprasad Padur AithalNIHR Nottingham Biomedical Research Centre, Nottingham University Hospitals NHS Trust and University of Nottingham, Nottingham, UK.
Pinelopi ManousouDepartment of Metabolism, Digestion and Reproduction, Imperial College London, London, UK.
Jeremy F CobboldOxford Liver Unit, Oxford University Hospitals NHS Foundation Trust, Oxford, UK.
Richard ParkerLeeds Liver Unit, Leeds Teaching Hospitals NHS Trust, Leeds, UK.ORCID 0000-0003-4888-8670
David SheridanInstitute of Translational and Stratified Medicine, University of Plymouth, Plymouth, UK.
Philip N NewsomeNational Institute for Health Research Birmingham Biomedical Research Centre, University Hospitals Birmingham NHS Foundation Trust and the University of Birmingham, Birmingham, UK.
Fredrik KarpeOxford Center for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, UK.ORCID 0000-0002-2751-1770
Matthew NevilleOxford Center for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, UK.
Wiebke ArltInstitute of Metabolism and Systems Research, University of Birmingham, Birmingham, UK.
Alice J SitchNational Institute for Health Research Birmingham Biomedical Research Centre, University Hospitals Birmingham NHS Foundation Trust and the University of Birmingham, Birmingham, UK.
Marta KorbonitsCentre for Endocrinology, William Harvey Research Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK.
Michael BiehlFaculty of Science and Engineering, Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence, University of Groningen, Groningen, Netherlands.
William AlazawiBarts Liver Centre, Queen Mary University London and Barts Health NHS Trust, London, UK.
Jeremy W TomlinsonOxford Center for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, UK jeremy.tomlinson@ocdem.ox.ac.uk.
University of Oxford · GBBarts Health NHS Trust · GBUniversity Hospitals Birmingham NHS Foundation Trust · GBHammersmith Hospital · GBImperial College London · GBLeeds Teaching Hospitals NHS Trust · GBNottingham University Hospitals NHS Trust · GBQueen Mary University of London · GBRoyal Berkshire Hospital · GBUniversity of Groningen · NLUniversity of Plymouth · GB

Funding

Medical Research Council MR/P011462/1Wellcome Trust
6 · The paper itself

Abstract

introductionNon-alcoholic fatty liver disease (NAFLD) affects approximately one in four individuals and its prevalence continues to rise. The advanced stages of NAFLD with significant liver fibrosis are associated with adverse morbidity and mortality outcomes. Currently, liver biopsy remains the 'gold-standard' approach to stage NAFLD severity. Although generally well tolerated, liver biopsies are associated with significant complications, are resource intensive, costly, and sample only a very small area of the liver as well as requiring day case admission to a secondary care setting. As a result, there is a significant unmet need to develop non-invasive biomarkers that can accurately stage NAFLD and limit the need for liver biopsy. The aim of this study is to validate the use of the urine steroid metabolome as a strategy to stage NAFLD severity and to compare its performance against other non-invasive NAFLD biomarkers. METHODS AND ANALYSIS: The TrUSt-NAFLD study is a multicentre prospective test validation study aiming to recruit 310 patients with biopsy-proven and staged NAFLD across eight centres within the UK. 150 appropriately matched control patients without liver disease will be recruited through the Oxford Biobank. Blood and urine samples, alongside clinical data, will be collected from all participants. Urine samples will be analysed by liquid chromatography-tandem mass spectroscopy to quantify a panel of predefined steroid metabolites. A machine learning-based classifier, for example, Generalized Matrix Relevance Learning Vector Quantization that was trained on retrospective samples, will be applied to the prospective steroid metabolite data to determine its ability to identify those patients with advanced, as opposed to mild-moderate, liver fibrosis as a consequence of NAFLD. ETHICS AND DISSEMINATION: Research ethical approval was granted by West Midlands, Black Country Research Ethics Committee (REC reference: 21/WM/0177). A substantial amendment (TrUSt-NAFLD-SA1) was approved on 26 November 2021. TRIAL REGISTRATION NUMBER: ISRCTN19370855.

Indexed as

Non-alcoholic Fatty Liver DiseaseBiomarkersBiopsyHumansLiverLiver CirrhosisMetabolomeMulticenter Studies as TopicRetrospective StudiesSteroidsValidation Studies as TopicBiomarkersSteroidsDIABETES & ENDOCRINOLOGYGeneral endocrinologyHepatology

Identifiers

PMID38238179
PMCPMC10806741
OpenAlexW4391004734

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.