Evidence map›Paper›PMID 37839810›Full record

SynthesisHealth technology assessment (Winchester, England)2023

Diagnostic accuracy and clinical impact of MRI-based technologies for patients with non-alcoholic fatty liver disease: systematic review and economic evaluation.

Rebecca Bresnahan, Rui Duarte, James Mahon, Sophie Beale, Marty Chaplin, Devarshi Bhattacharyya, Rachel Houten, Katherine Edwards, Sarah Nevitt, Michelle Maden and 1 more

Abstract readSystematic Review
In one paragraph

Synthesis in Health technology assessment (Winchester, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 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.

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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
  2. Review
  3. Article
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

11 authors.

Rebecca BresnahanLRiG, Department of Health Data Science, University of Liverpool, Liverpool, UK.ORCID 0000-0001-5578-1535
Rui DuarteLRiG, Department of Health Data Science, University of Liverpool, Liverpool, UK.ORCID 0000-0001-6485-7415
James MahonColdingham Analytical Services, Berwickshire, UK.ORCID 0000-0002-2187-1003
Sophie BealeHare Research, North Yorkshire, UK.ORCID 0000-0003-0164-103X
Marty ChaplinLRiG, Department of Health Data Science, University of Liverpool, Liverpool, UK.ORCID 0000-0002-7097-8704
Devarshi BhattacharyyaLRiG, Department of Health Data Science, University of Liverpool, Liverpool, UK.ORCID 0000-0003-1694-8106
Rachel HoutenLRiG, Department of Health Data Science, University of Liverpool, Liverpool, UK.ORCID 0000-0002-4315-7732
Katherine EdwardsLRiG, Department of Health Data Science, University of Liverpool, Liverpool, UK.ORCID 0000-0002-1092-0092
Sarah NevittLRiG, Department of Health Data Science, University of Liverpool, Liverpool, UK.ORCID 0000-0001-9988-2709
Michelle MadenLRiG, Department of Health Data Science, University of Liverpool, Liverpool, UK.ORCID 0000-0003-4419-6343
Angela BolandLRiG, Department of Health Data Science, University of Liverpool, Liverpool, UK.ORCID 0000-0002-5435-8644

Funding

Department of Health
6 · The paper itself

Abstract

Background: Magnetic resonance imaging-based technologies are non-invasive diagnostic tests that can be used to assess non-alcoholic fatty liver disease. Objectives: The study objectives were to assess the diagnostic test accuracy, clinical impact and cost-effectiveness of two magnetic resonance imaging-based technologies (LiverMultiScan and magnetic resonance elastography) for patients with non-alcoholic fatty liver disease for whom advanced fibrosis or cirrhosis had not been diagnosed and who had indeterminate results from fibrosis testing, or for whom transient elastography or acoustic radiation force impulse was unsuitable, or who had discordant results from fibrosis testing. Data sources: The data sources searched were MEDLINE, MEDLINE Epub Ahead of Print, In-Process & Other Non-Indexed Citations, Embase, Cochrane Database of Systematic Reviews, Cochrane Central Database of Controlled Trials, Database of Abstracts of Reviews of Effects and the Health Technology Assessment. Methods: A systematic review was conducted using established methods. Diagnostic test accuracy estimates were calculated using bivariate models and a summary receiver operating characteristic curve was calculated using a hierarchical model. A simple decision-tree model was developed to generate cost-effectiveness results. Results: The diagnostic test accuracy review (13 studies) and the clinical impact review (11 studies) only included one study that provided evidence for patients who had indeterminate or discordant results from fibrosis testing. No studies of patients for whom transient elastography or acoustic radiation force impulse were unsuitable were identified. Depending on fibrosis level, relevant published LiverMultiScan diagnostic test accuracy results ranged from 50% to 88% (sensitivity) and from 42% to 75% (specificity). No magnetic resonance elastography diagnostic test accuracy data were available for the specific population of interest. Results from the clinical impact review suggested that acceptability of LiverMultiScan was generally positive. To explore how the decision to proceed to biopsy is influenced by magnetic resonance imaging-based technologies, the External Assessment Group presented cost-effectiveness analyses for LiverMultiScan plus biopsy versus biopsy only. Base-case incremental cost-effectiveness ratio per quality-adjusted life year gained results for seven of the eight diagnostic test strategies considered showed that LiverMultiScan plus biopsy was dominated by biopsy only; for the remaining strategy (Brunt grade ≥2), the incremental cost-effectiveness ratio per quality-adjusted life year gained was £1,266,511. Results from threshold and scenario analyses demonstrated that External Assessment Group base-case results were robust to plausible variations in the magnitude of key parameters. Limitations: Diagnostic test accuracy, clinical impact and cost-effectiveness data for magnetic resonance imaging-based technologies for the population that is the focus of this assessment were limited. Conclusions: Magnetic resonance imaging-based technologies may be useful to identify patients who may benefit from additional testing in the form of liver biopsy and those for whom this additional testing may not be necessary. However, there is a paucity of diagnostic test accuracy and clinical impact data for patients who have indeterminate results from fibrosis testing, for whom transient elastography or acoustic radiation force impulse are unsuitable or who had discordant results from fibrosis testing. Given the External Assessment Group cost-effectiveness analyses assumptions, the use of LiverMultiScan and magnetic resonance elastography for assessing non-alcoholic fatty liver disease for patients with inconclusive results from previous fibrosis testing is unlikely to be a cost-effective use of National Health Service resources compared with liver biopsy only. Study registration: This study is registered as PROSPERO CRD42021286891. Funding: Funding for this study was provided by the Evidence Synthesis Programme of the National Institute for Health and Care Research (NIHR) Health Technology Assessment programme and will be published in full in

Indexed as

Non-alcoholic Fatty Liver DiseaseCost-Benefit AnalysisHumansLiver CirrhosisMagnetic Resonance ImagingState MedicineBIOPSYCOST-BENEFIT ANALYSISECONOMIC MODELSHUMANSINFLAMMATIONLIVER CIRRHOSISMAGNETIC RESONANCE IMAGINGNON-ALCOHOLIC FATTY LIVER DISEASEROUTINE DIAGNOSTIC TESTSTECHNOLOGY

Identifiers

PMID37839810
PMCPMC10591209

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.