Evidence map›Paper›PMID 40204429›Full record

SynthesisBMJ open gastroenterology2025

eHealth interventions and patients with metabolic dysfunction-associated steatotic liver disease: a systematic review and meta-analysis.

Yousuf Zafar, Muhammad Umer Sohail, Muhammad Saad, Syed Zaeem Ahmed, Muhammad Ovais Sohail, Javaid Zafar, Seth Lirette, Ashwani Singal

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in BMJ open gastroenterology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

8 authors.

Yousuf ZafarDepartment of Medicine, University of Mississippi University Hospital, Jackson, Mississippi, USA.
Muhammad Umer SohailDepartment of Medicine, Dow University of Health Sciences, Karachi, Pakistan.
Muhammad SaadDepartment of Medicine, Dow University of Health Sciences, Karachi, Pakistan.
Syed Zaeem AhmedDepartment of Medicine, Dow University of Health Sciences, Karachi, Pakistan syed.zaeemahmed@outlook.com.ORCID http://orcid.org/0009-0007-9959-007X
Muhammad Ovais SohailDepartment of Medicine, University of Missouri, Columbia, Missouri, USA.
Javaid ZafarDepartment of Medicine, University of Mississippi University Hospital, Jackson, Mississippi, USA.
Seth LiretteDepartment of Data Science, University of Mississippi Medical Center, Jackson, Mississippi, USA.
Ashwani SingalDivision of Gastroenterology and Hepatology, University of Louisville School of Medicine; Trager Transplant Center and Jewish Hospital, Louisville, Kentucky, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveMetabolic dysfunction-associated steatotic liver disease (MASLD) is a growing global health concern, with increasing mortality rates driven by the obesity pandemic. Weight loss has been shown to improve MASLD outcomes, yet the effectiveness of eHealth interventions in MASLD management remains uncertain. We aimed to evaluate the effectiveness of eHealth interventions compared with standard care in improving health outcomes among patients with MASLD.

designA systematic review and meta-analysis were conducted in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. DATA SOURCES: Relevant studies were retrieved from PubMed, Cochrane Central and Embase databases from inception to 26 April 2024. ELIGIBILITY CRITERIA: Only double-arm clinical trials involving human participants diagnosed with MASLD were included. Eligible studies were limited to those published in English. DATA EXTRACTION AND SYNTHESIS: eHealth interventions-including internet-based platforms, smartwatches, telephone follow-ups and mobile applications for dietary and exercise modifications-were compared against traditional intervention methods. The primary outcomes assessed were changes in body weight, abdominal/waist circumference, aspartate aminotransferase (AST) and alanine transaminase (ALT). Secondary outcomes were changes in body mass index (BMI), diastolic blood pressure, systolic blood pressure, MASLD fibrosis score, high-density lipoprotein, gamma-glutamyl transferase and triglycerides.

results11 studies met the inclusion criteria, of which 10 provided relevant outcomes and were included. The mean age of participants across the studies ranged from 39.3 to 57.9 years, with intervention durations spanning 3 to 24 months. Our results indicate significant improvements with eHealth interventions compared with control comparators, including reductions in AST (standardised mean difference (SMD): -0.35 (95% CI -0.61, -0.10); p<0.05), ALT (SMD: -0.38 (95% CI -0.65, -0.11); p<0.05), weight loss (SMD: -0.38 (95% CI -0.60, -0.17); p<0.05) and BMI (SMD: -0.37 (95% CI -0.54, -0.21); p<0.05).

conclusionsThe utilisation of eHealth interventions showed significant improvements in outcomes related to AST, ALT, abdominal circumference, weight loss and BMI. However, future studies with larger sample sizes and longer follow-ups are warranted to assess the sustainability of these outcomes.

Indexed as

Fatty LiverTelemedicineAlanine TransaminaseAspartate AminotransferasesBody Mass IndexHumansMaleObesityWeight LossAlanine TransaminaseAspartate AminotransferasesMETA-ANALYSISMobile ApplicationsNon-alcoholic Fatty Liver DiseaseNONALCOHOLIC STEATOHEPATITISOBESITY

Identifiers

PMID40204429
PMCPMC11987102

What OpenQuestion holds

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LicenceCC BY-NC
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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.