Evidence map›Paper›PMID 29234195›Full record

ArticleJournal of clinical and experimental hepatology2017

Simple Anthropometric Indices are Useful for Predicting Non-alcoholic Fatty Liver Disease [NAFLD] in Asian Indians.

Ayaskanta Singh, Sasmita Parida, Jimmy Narayan, Preetam Nath, Pradeep K Padhi, Girish K Pati, Prasanta K Parida, Chudamani Meher, Omprakash Agrawal, Shivaram P Singh

Open access · greenAbstract read
In one paragraph

Article in Journal of clinical and experimental hepatology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 16% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

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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

10 authors at 2 institutions in 1 country.

Ayaskanta SinghDepartment of Gastroenterology, IMS and SUM Hospital, Bhubaneswar, Odisha, India.
Sasmita ParidaDepartment of Radiology, S.C.B. Medical College, 753007 Cuttack, Odisha, India.
Jimmy NarayanDepartment of Gastroenterology, S.C.B. Medical College, 753007 Cuttack, Odisha, India.
Preetam NathDepartment of Gastroenterology, S.C.B. Medical College, 753007 Cuttack, Odisha, India.
Pradeep K PadhiDepartment of Gastroenterology, S.C.B. Medical College, 753007 Cuttack, Odisha, India.
Girish K PatiDepartment of Gastroenterology, S.C.B. Medical College, 753007 Cuttack, Odisha, India.
Prasanta K ParidaDepartment of Gastroenterology, S.C.B. Medical College, 753007 Cuttack, Odisha, India.
Chudamani MeherDepartment of Radiology, Beam Diagnostics Centre, Bajrakabati Road, 753001 Cuttack, India.
Omprakash AgrawalDepartment of Radiology, Beam Diagnostics Centre, Bajrakabati Road, 753001 Cuttack, India.
Shivaram P SinghDepartment of Gastroenterology, S.C.B. Medical College, 753007 Cuttack, Odisha, India.
Sriram Chandra Bhanja Medical College Hospital · INInstitute of Medical Sciences and Sum Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsWith the rising prevalence of obesity and metabolic syndrome, nonalcoholic fatty liver disease (NAFLD) has become the most common liver disorder in both developed and developing nations. Several studies on NAFLD have described waist circumference, a surrogate marker of visceral fat accumulation and waist height ratio as a better screening tool for NAFLD and metabolic syndrome than body mass index (BMI). We conducted this study to assess simple abdominal obesity indices as a predictor of NAFLD and determine the appropriate cut-off levels with reference to NAFLD.

methods1000 subjects with NAFLD detected ultrasonographically and 360 controls attending a Gastroenterology Clinic at Cuttack, Odisha were included in the study and subjected to detailed anthropometric measurements. The abdominal anthropometric cut offs were determined using ROC analysis. Statistical analysis was performed by using SPSS software version 16.

resultsAll receiver operating curve (ROC) curves of waist circumference, waist-height ratio and BMI were significantly above the diagonal line. There were no significant differences in the area under the curve values among these abdominal obesity indices in each gender. The appropriate cut-off point of waist circumference in screening for NAFLD was 89 cm for men and 84 cm for women and the optimal cut-off point of waist-height ratio was 0.53 for men and 0.57 for women and the cut-off point of waist to hip ratio was 0.94 for men and 0.87 for women with very good sensitivity and specificity.

conclusionsThe simple anthropometric parameters, such as BMI, waist circumference, waist-hip ratio and waist-height ratio are useful for predicting NAFLD in Indian adults. The anthropometry cut offs would be very useful in setting target points of life style modification and weight reduction. Besides, our study also clearly demonstrated that a simple assessment of BMI is as efficacious as other anthropometry parameters in predicting NAFLD.

Indexed as

AnthropometryBMIBMI, body mass indexHDL, high-density lipoproteinNAFLD, nonalcoholic fatty liver diseaseNonalcoholic fatty liver diseaseROC, receptor operator curvesWaist circumferenceWaist-height ratio

Identifiers

PMID29234195
PMCPMC5715478
OpenAlexW2615406620

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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.