Evidence map›Paper›PMID 39578601›Full record

SynthesisScientific reports2024

Evolution of characteristics of MASLD with and without diabetes: a meta-analysis of placebo arms.

Han Ah Lee, Hye Ah Lee, Hwi Young Kim

Abstract readMeta-Analysis
In one paragraph

Synthesis in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

6 citing papers in PubMed.

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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

3 authors.

Han Ah LeeDepartment of Internal Medicine, Chung-Ang University College of Medicine, Seoul, Korea.
Hye Ah LeeClinical Trial Center, Ewha Womans University College of Medicine, Seoul, Korea.
Hwi Young KimDepartment of Internal Medicine, College of Medicine, Ewha Womans University, 1071 Anyangcheon-ro, Yangcheon-gu, Seoul, 07985, Korea. hwiyoung@ewha.ac.kr.ORCID 0000-0003-0723-1285

Funding

Ministry of Science and ICT 2018R1A5A2025286Ministry of Science and ICT 2022R1I1A1A01065244
6 · The paper itself

Abstract

backgroundWe explored the changes in metabolic dysfunction-associated steatotic liver disease (MASLD) severity over time by analyzing data from the placebo arms of randomized controlled trials (RCTs), focusing on the presence of diabetes.

methodsRCTs on MASLD that included a placebo arm were identified using a systematic search of the literature. Primary outcomes were changes in hepatic steatosis and fibrosis.

resultsThe meta-analysis included 8 RCTs involving 386 patients without diabetes and 24 RCTs involving 637 patients with diabetes. The pooled estimate of mean change in steatosis grade was - 0.1 in patients without diabetes, and - 0.37 in patients with diabetes (P = 0.066). The mean change in fibrosis stage was 0.05 in patients without diabetes, and - 0.03 in patients with diabetes (P = 0.359). The mean change in nonalcoholic fatty liver disease activity score was - 0.55 in patients without diabetes, and - 1.50 in patients with diabetes (P = 0.100). The mean change in ALT and AST were significantly larger in patients without diabetes compared to those with diabetes (P < 0.05).

conclusionPlacebo treatment had a greater effect in improving liver steatosis in patients with diabetes compared to those without. These findings highlight the importance of tailored treatment strategies in MASLD, particularly considering diabetes status.

Indexed as

Diabetes MellitusNon-alcoholic Fatty Liver DiseaseFatty LiverHumansLiver CirrhosisPlacebosRandomized Controlled Trials as TopicSeverity of Illness IndexPlacebosLifestyle modificationMetabolic dysfunction-associated steatotic liver diseaseNatural courseRandomized controlled trialSteatosis

Identifiers

PMID39578601
PMCPMC11584620

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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.