Evidence map›Paper›PMID 40381173›Full record

ArticleDiabetes therapy : research, treatment and education of diabetes and related disorders2025

Prevalence of Metabolic Dysfunction-Associated Steatotic Liver Disease: Mapping Across Different Indian Populations (MAP Study).

Viswanathan Mohan, Shashank Joshi, Saket Kant, Altamash Shaikh, L Sreenivasa Murthy, Banshi Saboo, Parminder Singh, Aravind R Sosale, Debmalya Sanyal, G Shanmugasundar and 6 more

Abstract read
In one paragraph

Article in Diabetes therapy : research, treatment and education of diabetes and related disorders, 2025. 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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  7. Burden of MASLD and liver fibrosis: evidence from Phenome India cohort.The Lancet regional health. Southeast Asia · 2026
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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.

Viswanathan Mohan *Madras Diabetes Research Foundation (ICMR-Collaborating Centre of Excellence) & Dr. Mohan's Diabetes Specialities Centre (IDF Centre of Excellence in Diabetes Care), No 4, Conran Smith Road, Gopalapuram, Chennai, Tamil Nadu, 600086, India. drmohans@diabetes.ind.in.ORCID http://orcid.org/0000-0001-5038-6210
Shashank Joshi *Department of Diabetology and Endocrinology, Lilavati Hospital and Research Centre, Mumbai, 400050, India.
Saket KantDepartment of Endocrinology, Ananda Medicare, Sector-9, Rohini, New Delhi, 110085, India.
Altamash ShaikhDepartment of Endocrinology, AMS Neolife Superspeciality Clinic, Mumbai, 400008, Maharashtra, India.
L Sreenivasa MurthyDepartment of Diabetology, Lifecare Hospital and Research Centre, Bangalore, Karnataka, 560092, India.
Banshi SabooDepartment of Diabetology, Dia Care Hormone Clinic, Ahmedabad, Gujarat, 380015, India.
Parminder SinghDepartment of Endocrinology, Dr. Parminder's Diabetes & Endocrine Centre, Ludhiana, Punjab, 141001, India.
Aravind R SosaleDepartment of Diabetology, Diacon Hospital, Bangalore, Karnataka, 560010, India.
Debmalya SanyalEndocrinology, KPC Medical College and NH-RTIICS, Kolkata, West Bengal, 700032, India.
G ShanmugasundarDepartment of Endocrinology, Magna Centres for Obesity & Endocrinology, Chennai, Tamil Nadu, 600083, India.
Santosh Kumar SinghConsultant Endocrinologist, Department of Endocrinology, Udayman Appartment, Patna, Bihar, 800001, India.
A K PancholiaDepartment of Medicine and Preventive Cardiology, Arihant Hospital and Research Centre, Indore, India.
Sunetra MondalDepartment of Endocrinology, "Morning Glory" Polyclinic, Burdwan, West Bengal, 713104, India.
Rishi GeorgeDepartment of Diabetology, Welmont Hospital, Ernakulum, Kerala, 682017, India.
Ashok JaiswalDepartment of Medical Affairs, Zydus Healthcare Limited, Mumbai, Maharashtra, 400063, India.
Kunal JhaveriDepartment of Medical Affairs, Zydus Healthcare Limited, Mumbai, Maharashtra, 400063, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMetabolic dysfunction-associated steatotic liver disease (MASLD) is a growing global health concern. MASLD is strongly linked to obesity, sedentary lifestyles, and metabolic syndrome. In India, the prevalence of MASLD exhibits regional variations because of genetic, dietary, and socioeconomic factors. Liver stiffness measurement (LSM) and controlled attenuation parameter (CAP) are standardized non-invasive tools for assessing fibrosis and steatosis in MASLD. This study aimed to determine the prevalence and severity of MASLD across different Indian regions and examine regional disparities in MASLD burden.

methodsThis retrospective, multicenter, cross-sectional study analyzed the data of 13,750 adults from 105 diabetes and endocrine clinics across six geographic zones in India between May 2023 and February 2024. Participants underwent LSM and CAP assessment using FibroScan™. Based on LSM, liver fibrosis was categorized as F0-F1 (2-7 kPa), F2 (7-10 kPa), F3 (10-14 kPa), and F4 (≥ 14 kPa). Based on CAP, MASLD was classified as mild (238-260 dB/m), moderate (261-292 dB/m), and severe (≥ 293 dB/m).

resultsThe prevalence of MASLD was 68.2% (CAP ≥ 238 dB/m), and the prevalence of fibrosis was 33.7% (LSM ≥ 7 kPa). The highest MASLD burden was observed in North India (73.3%), particularly in Uttarakhand (80.0%). Severe fibrosis (F4) was highly prevalent in Kerala (20.0%), whereas severe steatosis (S3) was highly prevalent in Jammu and Kashmir (50.3%). The prevalence of MASLD was significantly associated with regional variations (P < 0.001) but not with age.

conclusionThis study highlights significant regional disparities in MASLD burden. The high burden in North India calls for region-specific public health interventions, standardized screening, and preventive strategies.

Indexed as

Controlled attenuation parameterLiver stiffness measurementMASLD in IndiaMetabolic dysfunction-associated steatotic liver diseaseNon-invasive liver diagnostics

Identifiers

PMID40381173
PMCPMC12182534

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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.