Evidence map›Paper›PMID 35677514›Full record

ArticleJournal of clinical and experimental hepatology

Diagnostic Accuracy and Optimal Cut-off of Controlled Attenuation Parameter for the Detection of Hepatic Steatosis in Indian Population.

Mohammad S Kuchay, Narendra S Choudhary, Deepak Sharma, Sonal Krishan, Sunil K Mishra, Jasjeet S Wasir, Manish K Singh, Neeraj Saraf, Swapnil Dhampalwar, Randhir Sud

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In one paragraph

Article in Journal of clinical and experimental hepatology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

9 citing papers in PubMed, 10 citations in OpenAlex.

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  6. Liver Stiffness Values in Persons with Normal Histology.Journal of clinical and experimental hepatology
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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.

Mohammad S KuchayDivision of Endocrinology and Diabetes, Medanta The Medicity Hospital, Gurugram, Haryana, 122001, India.
Narendra S ChoudharyInstitute of Digestive and Hepatobiliary Sciences, Medanta The Medicity hospital, Gurugram, Haryana, 122001, India.
Deepak SharmaInstitute of Digestive and Hepatobiliary Sciences, Medanta The Medicity hospital, Gurugram, Haryana, 122001, India.
Sonal KrishanDepartment of Radiology, Medanta The Medicity Hospital, Gurugram, Haryana, 122001, India.
Sunil K MishraDivision of Endocrinology and Diabetes, Medanta The Medicity Hospital, Gurugram, Haryana, 122001, India.
Jasjeet S WasirDivision of Endocrinology and Diabetes, Medanta The Medicity Hospital, Gurugram, Haryana, 122001, India.
Manish K SinghDepartment of Clinical Research and Studies, Medanta The Medicity Hospital, Gurugram, Haryana, 122001, India.
Neeraj SarafInstitute of Digestive and Hepatobiliary Sciences, Medanta The Medicity hospital, Gurugram, Haryana, 122001, India.
Swapnil DhampalwarInstitute of Digestive and Hepatobiliary Sciences, Medanta The Medicity hospital, Gurugram, Haryana, 122001, India.
Randhir SudInstitute of Digestive and Hepatobiliary Sciences, Medanta The Medicity hospital, Gurugram, Haryana, 122001, India.
Medanta The Medicity · INMedanta The Medicity · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and aims: Ultrasound of the liver is not good to pick up mild steatosis. Controlled attenuation parameter (CAP) evaluated in transient elastography (FibroScan) is widely available in India. However, data regarding the diagnostic accuracy and optimal cut-off values of CAP for diagnosing hepatic steatosis are scarce in Indian population. MRI-PDFF is an accurate technique for quantifying hepatic steatosis. Thus, this study examined the diagnostic accuracy and optimal cut-off values of CAP for diagnosing steatosis with MRI-PDFF as reference standard. Methods: A total of 137 adults underwent CAP and MRI-PDFF measurements prospectively. A subset of participants (n = 23) underwent liver biopsy as part of liver transplantation evaluation. The optimal cut-off values, area under the receiver operating characteristic (AUROC) curves, sensitivity, and specificity for CAP in detecting MRI-PDFF ≥5% and ≥10% were assessed. Results: The mean age and body mass index (BMI) were 44.2 ±10.4 years and 28.3 ±3.9 kg/m Conclusions: The optimal cut-off of CAP for the presence of liver steatosis (MRI-PDFF ≥5%) was 262 dB/m in Indian individuals. This CAP cut-off was associated with good sensitivity and specificity to pick up mild steatosis.

Indexed as

ALT, alanine aminotransferaseAST, aspartate aminotransferaseAUROC, area under receiver operating characteristicsbiopsyBMI, body mass indexCAP, controlled attenuation parameterIndialiver steatosisLSM, liver stiffness measurementMRI-PDFFMRI-PDFF, magnetic resonance imaging-proton density fat fractionMRS, magnetic resonance spectroscopyNAFLD, non-alcoholic fatty liver diseasenon-alcoholic fatty liver diseaseNPV, negative predictive valuePPV, positive predictive valueTE, transient elastography

Identifiers

PMID35677514
PMCPMC9168736
OpenAlexW3205545368

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.