Evidence map›Paper›PMID 36051960›Full record

ReviewFrontline gastroenterology2022

Identification of liver disease: why and how.

Iain Macpherson, Kushala W M Abeysekera, Rebecca Harris, Dina Mansour, Stuart McPherson, Ian Rowe, William Rosenberg, John F Dillon, Andrew Yeoman, Specialist Interest Group in the Early Detection of Liver Disease Members

Open access · bronzeAbstract readReview
In one paragraph

Review in Frontline gastroenterology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
5.3field-weighted citation impact, top 3% 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

15 citing papers in PubMed, 34 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Non-invasive Tests of Fibrosis: Does One Size Fit All?Digestive diseases and sciences · 2023
    Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. The Role of Macrophages in Liver Fibrosis: New Therapeutic Opportunities.International journal of molecular sciences · 2022
    Review
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

10 authors at 8 institutions in 2 countries.

Iain MacphersonDivision of Molecular and Clinical Medicine, University of Dundee, Dundee, UK.ORCID 0000-0003-0443-2073
Kushala W M AbeysekeraDepartment of Liver Medicine, University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK.
Rebecca HarrisNIHR Nottingham Digestive Diseases Biomedical Research Unit, Nottingham University Hospitals NHS Trust, Nottingham, UK.
Dina MansourDepartment of Gastroenterology and Hepatology, Gateshead Health NHS Foundation Trust, Gateshead, UK.
Stuart McPhersonTranslational & Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK.ORCID 0000-0002-5638-2453
Ian RoweLeeds Institute for Medical Research, University of Leeds, Leeds, UK.
William RosenbergInstitute for Liver and Digestive Health, University College London Division of Medicine, London, UK.
John F DillonDivision of Molecular and Clinical Medicine, University of Dundee, Dundee, UK.ORCID 0000-0002-2164-4476
Andrew YeomanGwent Liver Unit, Aneurin Bevan University Health Board, Newport, UK.ORCID 0000-0002-0739-3332
Specialist Interest Group in the Early Detection of Liver Disease Members
University of Dundee · GBAneurin Bevan University Health Board · GBClinical Research Institute · USNewcastle upon Tyne Hospitals NHS Foundation Trust · GBNottingham University Hospitals NHS Trust · GBRoyal Free London NHS Foundation Trust · GBUniversity Hospitals Bristol NHS Foundation Trust · GBUniversity of Leeds · GB

Funding

Medical Research Council MR/P008348/1Medical Research Council MR/V037331/1
6 · The paper itself

Abstract

Mortality from chronic liver disease (CLD) in the UK has increased by over 400% since 1970, driven by alcohol, non-alcoholic fatty liver disease and hepatitis C virus, the natural histories of which can all be improved by early intervention. Patients often present with advanced disease, which would be preventable if diagnosed earlier and lifestyle change opportunities offered. Liver function tests (LFTs) are very commonly measured. Approximately 20% are abnormal, yet the majority are not investigated according to guidelines. However, investigating all abnormal LFTs to identify early liver disease would overwhelm services. Recently, several diagnostic pathways have been implemented across the country; some focus on abnormal LFTs and some on stratifying at-risk populations. This review will collate the evidence on the size of the problem and the challenges it poses. We will discuss the limitations and restrictions within systems that limit the responses available, review the current pathways being evaluated and piloted in the UK, and explore the arguments for and against LFT-based approaches and 'case-finding strategies' in the community diagnosis of liver disease. Furthermore, the role of fibrosis assessment methods (including scoring systems such as Fibrosis-4 (FIB-4) index, the enhanced liver fibrosis test and elastography) within these pathways will also be discussed. In conclusion, this review aims to establish some principles which, if adopted, are likely to improve the diagnosis of advanced liver disease, and identify the areas of contention for further research, in order to establish the most effective community detection models of liver disease.

Indexed as

chronic liver diseaseliver function testprimary carescreening

Identifiers

PMID36051960
PMCPMC9380769
OpenAlexW4221061594

What OpenQuestion holds

Textmetadata
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.