Evidence map›Paper›PMID 39802849›Full record

ArticleEuroasian journal of hepato-gastroenterology

Prevalence of Metabolic Dysfunction-associated Steatotic Liver Disease (MASLD) in Persons with Obesity and Type 2 Diabetes Mellitus: A Cross-sectional Study.

Saba Latif, Tasnim Ahsan

Abstract read
In one paragraph

Article in Euroasian journal of hepato-gastroenterology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  14. Metabolic dysfunction-associated steatotic liver disease.Clinical medicine (London, England) · 2025
    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

2 authors.

Saba LatifDepartment of Endocrinology, Medicell Institute of Diabetes Endocrinology and Metabolism (MIDEM), Karachi, Sindh, Pakistan.ORCID https://orcid.org/0000-0002-4716-0605
Tasnim AhsanDepartment of Endocrinology, Medicell Institute of Diabetes Endocrinology and Metabolism (MIDEM), Karachi, Sindh, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Metabolic dysfunction-associated steatotic liver disease (MASLD) is an important entity in patients with type-2 diabetes (T2D). Exploring the prevalence and related factors of MASLD is vital toward developing effective methods of diagnosis and treatment. The objective of this study was to determine the prevalence of MASLD in persons with obesity and T2D. Materials and methods: This cross-sectional study was conducted at a private healthcare facility (Medicell Clinics) in Karachi, Pakistan, reviewing records from January to December 2022. Persons of either gender aged 18 or above with a diagnosis of T2D and/or obesity were analyzed. Results: Of a total of 646 persons, 430 (66.6%) were females. The mean age was 48.58 ± 13.88 years, ranging between 18 and 85 years. T2D was noted in 351 (54.3%) patients, while obesity was observed in 593 (91.8%) persons, 396 (61.3%) had MASLD. Persons having MASLD had significantly higher body mass index (31.16 ± 5.13 vs 28.14 ± 4.76 kg/m Conclusion: The prevalence of MASLD was very high in persons with T2D, and obesity. Type-2 diabetes with or without obesity, or the other way around, significantly increases the risk of MASLD. Therefore, these persons should be screened for MASLD to improve clinical outcomes in the affected people. How to cite this article: Latif S, Ahsan T. Prevalence of Metabolic Dysfunction-associated Steatotic Liver Disease (MASLD) in Persons with Obesity and Type 2 Diabetes Mellitus: A Cross-sectional Study. Euroasian J Hepato-Gastroenterol 2024;14(2):129-133.

Indexed as

Body mass indexDiabetes mellitusObesity

Identifiers

PMID39802849
PMCPMC11714111

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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.