Evidence map›Paper›PMID 38425452›Full record

ArticleJHEP reports : innovation in hepatology2024

AlcoChange: A digital therapeutic for patients with alcohol-related liver disease.

Gautam Mehta, Su Lin, Aida Nadar, Bharadwaj Pv, Ravi Kumar, Anu Balaji, Stewart Macdonald, Mohammed F Sheikh, MohammadMahdi Saeidinejad, Shiv-Raj Sharma and 6 more

Open access · goldAbstract read
In one paragraph

Article in JHEP reports : innovation in hepatology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
3.3field-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.

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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Observational
  4. Review
  5. Article
  6. Article
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  8. Review
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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

16 authors at 4 institutions in 3 countries.

Gautam MehtaInstitute for Liver and Digestive Health, University College London, London, UK.
Su LinInstitute for Liver and Digestive Health, University College London, London, UK.
Aida NadarInstitute for Liver and Digestive Health, University College London, London, UK.
Bharadwaj PvCyberliver Ltd, London, UK.
Ravi KumarCyberliver Ltd, London, UK.
Anu BalajiCyberliver Ltd, London, UK.
Stewart MacdonaldInstitute for Liver and Digestive Health, University College London, London, UK.
Mohammed F SheikhInstitute for Liver and Digestive Health, University College London, London, UK.
MohammadMahdi SaeidinejadInstitute for Liver and Digestive Health, University College London, London, UK.
Shiv-Raj SharmaRoyal Free London NHS Foundation Trust, London, UK.
Ji J KingRoyal Free London NHS Foundation Trust, London, UK.
Rajeshwar P MookerjeeInstitute for Liver and Digestive Health, University College London, London, UK.
Lorraine McDonaghInstitute of Epidemiology and Health Care, University College London, London, UK.
Sarah A AfuwapeInstitute for Liver and Digestive Health, University College London, London, UK.
Kevin MooreInstitute for Liver and Digestive Health, University College London, London, UK.
Rajiv JalanInstitute for Liver and Digestive Health, University College London, London, UK.
Royal Free London NHS Foundation Trust · GBUniversity College London · GBEuropean Foundation for the Study of Chronic Liver Failure · ESFujian Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background & Aims: Maintenance of abstinence in alcohol-related liver disease (ARLD) is a major unmet therapeutic need. Digital therapeutics can deliver ongoing behavioural therapy, in real-time, for chronic conditions. The aim of this project was to develop and clinically test AlcoChange, a novel digital therapeutic for ARLD. Methods: AlcoChange was developed using validated behaviour change techniques and a digital alcohol breathalyser. This was an open-label, single-centre study. Patients with ARLD, ongoing alcohol use (within 1 month) and possession of a suitable smartphone were eligible. Patients were recruited from inpatient and outpatient settings, and received AlcoChange therapy for 3 months. The primary outcome was reduction in alcohol use from baseline to 3 months, measured by timeline follow-back. Secondary outcomes included: (i) compliance with the AlcoChange app, (ii) alcohol-related and all-cause hospital re-admissions up to 1 year, (iii) qualitative analysis to determine factors associated with compliance. Results: Sixty-five patients were recruited, of whom 41 completed the study per protocol. Patients compliant with the intervention (>60 logins over 3 months) had a significant reduction in alcohol use from baseline compared to non-compliant patients (median [IQR]: -100% [100% to -55.1%] Conclusions: Use of the novel digital therapeutic, AlcoChange, was associated with a significant reduction in alcohol use and an increase in the proportion of patients with ARLD attaining abstinence. Definitive randomised trials are warranted for this intervention. Impact and implications: Alcohol-related liver disease (ARLD) is an increasing health problem worldwide. The main cause of death and disability in ARLD is ongoing alcohol consumption, but few patients receive medications or talking therapy to maintain abstinence. This study demonstrated that a digital therapeutic, linked to a smartphone, may help reduce alcohol consumption and alcohol-related hospital admissions in these patients. If validated in larger, randomised, trials, digital therapeutics may have a role in the primary and secondary prevention of complicatons from ARLD.

Indexed as

alcoholAlcohol-related liver diseasedigital healthdigital therapeuticsmartphone

Identifiers

PMID38425452
PMCPMC10899036
OpenAlexW4390052481

What OpenQuestion holds

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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.