Evidence map›Paper›PMID 25576388›Full record

ArticleIndian journal of gastroenterology : official journal of the Indian Society of Gastroenterology2015

A study of gender-wise risk association between fatty liver and metabolic syndrome components (Asia-Pacific criteria) in a South Indian urban cohort.

M Srinivas, Vijaya Srinivasan, Madhu Bashini Mohan, Joy Varghese, Jayanthi Venkataraman

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Article in Indian journal of gastroenterology : official journal of the Indian Society of Gastroenterology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 32% of its field
1 · What the graph read from it

What it found

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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

5 citing papers in PubMed, 8 citations in OpenAlex.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

M SrinivasDepartment of Medical Gastroenterology and Hepatology, Global Health City, 439, Cheran Nagar, Perumbakkam, Chennai, 600 100, India, drsrinivasm@hotmail.com.
Vijaya Srinivasan
Madhu Bashini Mohan
Joy Varghese
Jayanthi Venkataraman
Center for Global Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMetabolic syndrome (MS) is associated with fatty liver (FL) disease. Gender differences in this association are not known.

aimThe aim of the present study was to determine gender-wise association between FL and MS components (using Asia-Pacific guidelines 2007) in an urban south Indian cohort with normal liver function tests (LFT).

methodsRecords of consecutive attendees of a Master Health Check up program were reviewed for age, gender, body mass index (BMI), blood pressure, fasting blood sugar (FBS), high-density lipoproteins, triglyceride (TG) levels, presence of FL by ultrasound. The cohort was grouped gender-wise as FL and nonfatty liver (NFL). Foreign nationals; those with alcohol intake >20 g/day; and those with diabetes, hypertension, hypertriglyceridemia, chronic liver disease, or abnormal LFT were excluded. STATISTICS: Chi-square, gender-wise univariate and logistic regression analyses of each MS component for FL, relative risk (RR), and 95 % confidence interval (CI) for significant factors (p < 0.05 and RR or log odds >1.5) were calculated.

resultsOf the 1,075 (63 % males) cases included, 45.8 % had FL. Gender (log odds 1.6 compared to women) and BMI ≥25 kg/m(2) (RR 1.6 % to 95 % CI 1.3 to 1.9; log odds 2.2) were the only factors associated with FL in men. In women, age ≥40 years (log odds 2.3), fasting blood sugar (FBS) ≥100 mg/dL (RR 1.8-1.4 to 2.3; log odds 1.9), and TG ≥150 mg/dL (RR 1.7-1.3 to 2.1; log odds 1.7) were independently associated with FL.

conclusionThere was a gender-wise difference in MS components associated with hepatic steatosis and normal LFT in a south Indian urban cohort.

Indexed as

Fatty LiverMetabolic SyndromeSex CharacteristicsAdultAge FactorsBlood GlucoseBody Mass IndexCohort StudiesFastingFemaleHumansIndiaLiver Function TestsMaleMiddle AgedRisk FactorsBlood GlucoseTriglycerides

Identifiers

PMID25576388
OpenAlexW2036633198

What OpenQuestion holds

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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 OpenQuestion graph.