Evidence map›Paper›PMID 35340625›Full record

ArticleEClinicalMedicine2022

Quantitative magnetic resonance imaging to aid clinical decision making in autoimmune hepatitis.

Michael A Heneghan, Elizabeth Shumbayawonda, Andrea Dennis, Refah Z Ahmed, Mussarat N Rahim, Michael Ney, Loren Smith, Matt Kelly, Rajarshi Banerjee, Emma L Culver

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in EClinicalMedicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06078098 (Multicenter, Nationwide, Observational, Retrospective and Prospective Study Based on the Development of a Autoimmune Hepatitis Patient's Database Linked to a Biological Sample Storage), which is not on this map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.0field-weighted citation impact, top 8% 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.

NCT06078098 recruitingnot on this mapstarted 2023, after this paper: background citation

Multicenter, Nationwide, Observational, Retrospective and Prospective Study Based on the Development of a Autoimmune Hepatitis Patient's Database Linked to a Biological Sample Storage

Typeobservational_patient_registrySponsorUniversity of Milano BicoccaRan2023 to 2034Enrolled10,000ConditionsAutoimmune Hepatitis, Liver DisorderArmsClinical Information
3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 23 citations in OpenAlex.

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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 2 institutions in 1 country.

Michael A HeneghanInstitute of Liver Studies, King's College Hospital, NHS Foundation Trust, Denmark Hill, London, United Kingdom.
Elizabeth ShumbayawondaPerspectum Ltd, Oxford, United Kingdom.
Andrea DennisPerspectum Ltd, Oxford, United Kingdom.
Refah Z AhmedInstitute of Liver Studies, King's College Hospital, NHS Foundation Trust, Denmark Hill, London, United Kingdom.
Mussarat N RahimInstitute of Liver Studies, King's College Hospital, NHS Foundation Trust, Denmark Hill, London, United Kingdom.
Michael NeyInstitute of Liver Studies, King's College Hospital, NHS Foundation Trust, Denmark Hill, London, United Kingdom.
Loren SmithJohn Radcliffe Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom.
Matt KellyPerspectum Ltd, Oxford, United Kingdom.
Rajarshi BanerjeePerspectum Ltd, Oxford, United Kingdom.
Emma L CulverJohn Radcliffe Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom.
King's College Hospital NHS Foundation Trust · GBJohn Radcliffe Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In autoimmune hepatitis (AIH), clinical practice and treatment guidelines frequently diverge as a reflection of disease heterogeneity and challenges in achieving standardised care. We sought to explore the utility of multiparametric (mp) MR in patients with AIH, and the impact of this technology on physicians' decision making and intended patient management. Methods: 82 AIH patients, recruited from two sites between June and November 2019 as part of an observational cohort study, underwent non-contrast MRI alongside their standard clinical investigations. Correlations between iron-corrected T1 (cT1) and other markers of disease were investigated alongside the utility of imaging markers to risk stratify patients in biochemical remission. The impact of mpMR on clinical decision making was evaluated using pairwise t-tests. The discriminatory ability of the imaging markers was assessed using area under the receiver operating characteristic curves (AUCs). Findings: cT1 had a significant impact on clinician intended patient management ( Interpretation: This study investigates the impact of mpMR results on intended clinical management in a real world setting. Findings showed that mpMR demonstrated a significant impact on clinical management of AIH and has the potential to inform patient risk stratification. Funding: This paper presents independent research supported by the Innovate UK grant (104,915).

Indexed as

cT1Fibro-inflammationNon-invasive imagingRemissionStratification

Identifiers

PMID35340625
PMCPMC8943410
OpenAlexW4220750533

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.