Evidence map›Paper›PMID 37549979›Full record

Trial reportGut2023

Clinical care pathway to detect advanced liver disease in patients with type 2 diabetes through automated fibrosis score calculation and electronic reminder messages: a randomised controlled trial.

Xinrong Zhang, Terry Cheuk-Fung Yip, Grace Lai-Hung Wong, Wei-Xuan Leow, Lilian Yan Liang, Lee-Ling Lim, Guanlin Li, Luqman Ibrahim, Huapeng Lin, Jimmy Che To Lai and 5 more

2 registry-linked trialsOpen access · hybridAbstract readRandomized Controlled TrialPragmatic Clinical Trial
In one paragraph

Trial report in Gut, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 32 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 2 pooled it
9.4field-weighted citation impact, top 1% 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.

NCT04241575 nacompletednot on this map

Identification of Fatty Liver With Advanced Fibrosis in Patients With Type 2 Diabetes Using Simple Fibrosis Scores and Electronic Reminder Messages: A Randomized Controlled Trial

TypeinterventionalSponsorChinese University of Hong KongRan2020 to 2023Enrolled1,061ConditionsFatty Liver, Nonalcoholic, Diabetes Mellitus, Type 2ArmsSimple fibrosis scores and electronic reminder messages
NCT06694974 nanot yet recruitingnot on this mapstarted 2024, after this paper: background citation

A Randomized Controlled Trial for Liver Fibrosis Assessment in Diabetic Patients

TypeinterventionalSponsorNational Taiwan University HospitalRan2024 to 2025Enrolled540ConditionsType 2 Diabetes, Metabolic Dysfunction-Associated Steatotic Liver DiseaseArmsAPP calculation for FIB-4, Standard Care (in control arm)
3 · Its place in the literature

Who cites it

32 citing papers in PubMed, 2 syntheses or guidelines pooled it, 44 citations in OpenAlex.

  1. Guideline
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  6. MAFLD/MASLD: Past, Present, and Future.Journal of gastroenterology and hepatology · 2026
    Review
  7. The dynamic spectrum of steatotic liver disease: the global perspective.Nature reviews. Gastroenterology & hepatology · 2026
    Review
  8. Article
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  10. Care Pathways for Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD): A State-of-The-Art Review.Liver international : official journal of the International Association for the Study of the Liver · 2026
    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

15 authors at 3 institutions in 3 countries.

Xinrong ZhangMedical Data Analytics Centre, The Chinese University of Hong Kong, Hong Kong, People's Republic of China.ORCID 0000-0002-8393-8904
Terry Cheuk-Fung YipMedical Data Analytics Centre, The Chinese University of Hong Kong, Hong Kong, People's Republic of China.
Grace Lai-Hung WongMedical Data Analytics Centre, The Chinese University of Hong Kong, Hong Kong, People's Republic of China.ORCID 0000-0002-2863-9389
Wei-Xuan LeowGastroenterology and Hepatology Unit, Department of Medicine, University of Malaya, Kuala Lumpur, Malaysia.
Lilian Yan LiangMedical Data Analytics Centre, The Chinese University of Hong Kong, Hong Kong, People's Republic of China.ORCID 0000-0003-4108-504X
Lee-Ling LimEndocrine Unit, Department of Medicine, University of Malaya, Kuala Lumpur, Malaysia.
Guanlin LiMedical Data Analytics Centre, The Chinese University of Hong Kong, Hong Kong, People's Republic of China.
Luqman IbrahimEndocrine Unit, Department of Medicine, University of Malaya, Kuala Lumpur, Malaysia.
Huapeng LinMedical Data Analytics Centre, The Chinese University of Hong Kong, Hong Kong, People's Republic of China.
Jimmy Che To LaiMedical Data Analytics Centre, The Chinese University of Hong Kong, Hong Kong, People's Republic of China.ORCID 0000-0002-5749-1598
Angel Mei-Ling ChimMedical Data Analytics Centre, The Chinese University of Hong Kong, Hong Kong, People's Republic of China.
Henry Lik Yuen ChanFaculty of Medicine, The Chinese University of Hong Kong, Hong Kong, People's Republic of China.
Alice Pik-Shan KongDepartment of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, People's Republic of China.
Wah Kheong ChanGastroenterology and Hepatology Unit, Department of Medicine, University of Malaya, Kuala Lumpur, Malaysia wongv@cuhk.edu.hk wahkheong2003@hotmail.com.ORCID 0000-0002-9105-5837
Vincent Wai-Sun WongMedical Data Analytics Centre, The Chinese University of Hong Kong, Hong Kong, People's Republic of China wongv@cuhk.edu.hk wahkheong2003@hotmail.com.ORCID 0000-0003-2215-9410
Chinese University of Hong Kong · HKUniversity of Malaya · MYUnion Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWe aimed to test the hypothesis that automated fibrosis score calculation and electronic reminder messages could increase the detection of advanced liver disease in patients with type 2 diabetes.

designIn this pragmatic randomised controlled trial at five general medical or diabetes clinics in Hong Kong and Malaysia, we randomly assigned patients in a 1:1 ratio to the intervention group with Fibrosis-4 index and aspartate aminotransferase-to-platelet ratio index automatically calculated based on routine blood tests, followed by electronic reminder messages to alert clinicians of abnormal results, or the control group with usual care. The primary outcome was the proportion of patients with increased fibrosis scores who received appropriate care (referred for hepatology care or specific fibrosis assessment) within 1 year.

resultsBetween May 2020 and Oct 2021, 1379 patients were screened, of whom 533 and 528 were assigned to the intervention and control groups, respectively. A total of 55 out of 165 (33.3%) patients with increased fibrosis scores in the intervention group received appropriate care, compared with 4 of 131 (3.1%) patients in the control group (difference 30.2% (95% CI 22.4% to 38%); p<0.001). Overall, 11 out of 533 (2.1%) patients in the intervention group and 1 out of 528 (0.2%) patients in the control group were confirmed to have advanced liver disease (difference 1.9% (95% CI 0.61% to 3.5%); p=0.006).

conclusionAutomated fibrosis score calculation and electronic reminders can increase referral of patients with type 2 diabetes and abnormal fibrosis scores at non-hepatology settings. TRIAL REGISTRATION NUMBER: NCT04241575.

Indexed as

Diabetes Mellitus, Type 2Digestive System DiseasesLiver DiseasesNon-alcoholic Fatty Liver DiseaseCritical PathwaysFibrosisHumansLiver CirrhosisCIRRHOSISDIABETES MELLITUSFATTY LIVERHEPATIC FIBROSISPRIMARY CARE

Identifiers

PMID37549979
PMCPMC10715546
OpenAlexW4385625560

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.