Evidence map›Paper›PMID 34324132›Full record

ArticleIndian journal of pediatrics2022

Usefulness of Controlled Attenuation Parameter for Identification and Grading of Nonalcoholic Fatty Liver Disease in Adolescents with Obesity.

Abhinav Anand, Shalimar, Manisha Jana, Devasenathipathy Kandasamy, Brijesh Kumar, Gajendra Singh, Vandana Jain

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Article in Indian journal of pediatrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.6field-weighted citation impact, top 32% 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

7 citing papers in PubMed, 10 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

7 authors at 1 institution in 1 country.

Abhinav AnandDepartment of Gastroenterology, All India Institute of Medical Sciences, New Delhi, India.
ShalimarDepartment of Gastroenterology, All India Institute of Medical Sciences, New Delhi, India.
Manisha JanaDepartment of Radiodiagnosis, All India Institute of Medical Sciences, New Delhi, India.
Devasenathipathy KandasamyDepartment of Radiodiagnosis, All India Institute of Medical Sciences, New Delhi, India.
Brijesh KumarDivision of Pediatric Endocrinology, Department of Pediatrics, All India Institute of Medical Sciences, New Delhi, 110029, India.
Gajendra SinghDivision of Pediatric Endocrinology, Department of Pediatrics, All India Institute of Medical Sciences, New Delhi, 110029, India.
Vandana JainDivision of Pediatric Endocrinology, Department of Pediatrics, All India Institute of Medical Sciences, New Delhi, 110029, India. drvandanajain@aiims.edu.
All India Institute of Medical Sciences · IN

Funding

Indian Council of Medical Research 5/4/3-2-2017-NCD-II
6 · The paper itself

Abstract

objectiveTo identify controlled attenuation parameter (CAP) based cutoffs for diagnosing and grading hepatic steatosis in adolescents with overweight/obesity, using magnetic resonance imaging-proton density fat fraction (MRI-PDFF) as the reference method.

methodsAdolescents with overweight/obesity were included. Fasting glucose, insulin, aspartate aminotransferase, and alanine aminotransferase were estimated. Hepatic steatosis (S) was assessed by MRI-PDFF, and graded as S0, S1, S2, and S3 with fat fraction cutoffs of < 6.0%, ≥ 6.0% to < 17.5%, ≥ 17.5% to < 23.3%, and ≥ 23.3%, respectively. CAP and liver stiffness measure (LSM) were assessed using FibroScan. Receiver operating characteristic (ROC) curves were used to estimate the CAP scores predicting various grades of hepatic steatosis.

resultsA total of 108 adolescents aged 12.4 ± 1.9 y, with mean BMI of 26.7 ± 4.9 kg/m

conclusionCAP score had a good discriminative ability to diagnose fatty liver in adolescents with overweight or obesity.

Indexed as

Elasticity Imaging TechniquesNon-alcoholic Fatty Liver DiseasePediatric ObesityAdolescentBiopsyHumansLiverROC CurveAdolescent obesityElastographyHepatic steatosisLSMNAFLDPediatric obesity

Identifiers

PMID34324132
OpenAlexW3185143619

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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.