Evidence mapPaperPMID 36387648Full record

ArticleJournal of family medicine and primary care2022

A retrospective study to find out the correlation between NAFLD, diabetes, and obesity in Indian patients.

Mohit Saran, Jugal Kishore Sharma, Aastha Ranjan, Saurav Deka, Mudit Sabharwal, Srivani Palukari, Betina Chandolia

Open access · goldAbstract read
In one paragraph

Article in Journal of family medicine and primary care, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 36% 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.

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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. NAFLD in diabetes: Screening and preventive strategies.Journal of family medicine and primary care · 2024
    Article
  3. Diabetes, nonalcoholic fatty liver disease and obesity: What is the link?Journal of family medicine and primary care · 2024
    Article
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

7 authors.

Mohit SaranDepartment of Medicine, Bhagwan Mahavir Hospital, Rohini, New Delhi, India.
Jugal Kishore SharmaDepartment of Endocrinology, Central Delhi Diabetes Centre, New Delhi, India.
Aastha RanjanReal-World Evidence, THB: Technology | Healthcare | Big Data Analytics, Gurgaon, Haryana, India.
Saurav DekaReal-World Evidence, THB: Technology | Healthcare | Big Data Analytics, Gurgaon, Haryana, India.
Mudit SabharwalDepartment of Endocrinology, Dharma Diabetes and Metabolic Clinic, Gurgaon, Haryana, India.
Srivani PalukariReal-World Evidence, THB: Technology | Healthcare | Big Data Analytics, Gurgaon, Haryana, India.
Betina ChandoliaReal-World Evidence, THB: Technology | Healthcare | Big Data Analytics, Gurgaon, Haryana, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Nonalcoholic fatty liver disease (NAFLD) is present in the body with metabolic disorders such as Type 2 diabetes mellitus (T2DM), obesity, and cardiovascular disease. However, no significant evidence has been found till date exhibiting their association epidemiologically in Indian patients. Objective: To assess the association among NAFLD, T2DM, and obesity, and to validate the scoring system with grades of fatty liver (severity of liver disease) estimated by ultrasound vs. NAFLD fibrosis score, BARD score, and aspartate aminotransferase to platelet ratio index (APRI) score. Methodology: A retrospective, observational study was conducted out in patients with NAFLD (n = 316) where diagnosis and grades of fatty liver were established via ultrasound reports. The patients were divided into two groups, Group A (n = 114, NAFLD with T2DM) and Group B (n = 202, NAFLD without T2DM). R 4.0.0 was used for statistical analysis. Results: The mean age (in years) of the patients was 54.08 ± 10.78 in Group A and 48.10 ± 15.36 in Group B. The mean BMI in Group A was found to be slightly higher as compared to Group B, 27.49 ± 4.94 and 26.56 ± 4.68, respectively, and the difference was found to be statistically significant (p-value <0.05). The overall predictive ability of the NAFLD scoring system matched that to ultrasonography liver grading fibrosis report for approximately 53% of patients. The BARD scoring system was found to be matched with ultrasonography reported Grade 1 fatty liver (198/316). In the case of the APRI scoring system, the association was not observed with ultrasonography reports in any grades of fatty liver. Conclusion: Body mass index might be an independent risk factor for NAFLD. NAFLD fibrosis score appears to be a reliable non-invasive tool to determine the severity of liver fibrosis in NAFLD patients. BARD score may predict Grade 1 liver fibrosis. However, APRI scores do not correlate with imaging evidence of fibrosis like NAFLD and BARD scores.

Indexed as

NAFLD scorenon-alcoholic fatty liver diseaseobesitytype 2 diabetes

Identifiers

PMID36387648
PMCPMC9648271
OpenAlexW4289210210

What Socratic holds

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LicenceCC BY-NC-SA
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Registered trials

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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 Socratic graph.