Evidence map›Paper›PMID 31770380›Full record

ArticlePloS one2019

The ZJU index is a powerful surrogate marker for NAFLD in severely obese North American women.

Chia-Po Fu, Hira Ali, Vikrant P Rachakonda, Elizabeth A Oczypok, James P DeLany, Erin E Kershaw

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00712127 (Preventing Adverse Effects In Class II and Class III Obesity), which is not on this map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 12% 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.

NCT00712127 nacompletednot on this map

Preventing Adverse Effects In Class II and Class III Obesity

TypeinterventionalSponsorUniversity of PittsburghRan2006 to 2010Enrolled310ConditionsObesityArmsDiet and Exercise, Diet and Exercise-Delayed
3 · Its place in the literature

Who cites it

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 40 citations in OpenAlex.

  1. Pooled it
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  18. ZJU Index as a Predictive Tool for Diabetes Incidence: Insights from a Population-Based Cohort Study.Diabetes, metabolic syndrome and obesity : targets and therapy · 2024
    Article
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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

6 authors at 3 institutions in 2 countries.

Chia-Po FuDivision of Endocrinology and Metabolism, Department of Medicine, Taichung Veterans General Hospital, Taichung, Taiwan.ORCID 0000-0001-5210-9444
Hira AliDivision of Endocrinology and Metabolism, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America.
Vikrant P RachakondaDivision of Gastroenterology, Hepatology, and Nutrition, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America.
Elizabeth A OczypokDivision of Endocrinology and Metabolism, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America.
James P DeLanyTranslational Research Institute for Metabolism and Diabetes, Florida Hospital, Orlando, Florida, United States of America.
Erin E KershawDivision of Endocrinology and Metabolism, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America.
University of Pittsburgh · USNational Taiwan University · TWTranslational Research Institute for Metabolism and Diabetes · US

Funding

Pittsburgh Liver Research CenterP30DK120531 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Gavin E Arteel · 2019 to 2026
$10.9M
T32 Research Training in Diabetes and EndocrinologyT32DK007052 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI ROBERT M O'DOHERTY · 1986 to 2026
$6.3M
Digestive Diseases Training ProgramT32DK063922 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI ARTEEL, GAVIN E, YADAV, DHIRAJ · 2003 to 2022
$5.2M
NIDDK NIH HHS P30 DK120531NIDDK NIH HHS T32 DK007052NIDDK NIH HHS T32 DK063922
6 · The paper itself

Abstract

introductionNon-alcoholic fatty liver disease (NAFLD) is the most common chronic liver disease in the western world and is highly associated with multiple cardiometabolic complications. The Zhejiang University (ZJU) index was first developed to predict NAFLD in Chinese populations, where it was shown to have better predictive value than other currently used indices. The aims of the present study were to 1) determine the diagnostic accuracy of ZJU index in identifying NAFLD in a well-phenotyped cohort of obese middle-aged American women and 2) compare its performance with other non-invasive indices for NAFLD identification.

methodsTo achieve this goal, we performed a retrospective analysis of a prospectively-collected cohort of participants enrolled in a weight loss trial for severe obesity (RENEW, clinicaltrials.gov identifier: NCT00712127). One hundred and seven women between the age of 30 and 55 with obesity class II (BMI 35-39.9 kg/m2) or class III (BMI ≥ 40 kg/m2) were recruited for analyses. Hepatic steatosis was measured using liver/spleen attenuation ratio (L/S ratio) from unenhanced abdominal computed tomography. Beside ZJU index, hepatic steatosis index (HSI), lipid accumulation production index (LAPI), and visceral adiposity index (VAI) were also determined and to compare their performance in predicting NAFLD.

resultsOf 107 obese women in the study, 40 (37.4%) met imaging criteria for NAFLD using cut-off value of L/S ratio < 1.1. The ZJU index was positively correlated with HIS, LAPI, but not VAI. The area under the curve was highest for the ZJU index (AUC = 0.742, 95% CI:0.647-0.837), followed by HSI (AUC = 0.728, 95% CI:0.631-0.825), LAPI (AUC = 0.682, CI:0.583-0.781), and VAI (AUC = 0.621, 95% CI:0.518-0.725), respectively, using the Youden method.

conclusionThe ZJU index is a powerful surrogate marker for NAFLD in severely obese western females and its predictive value was better than that of other commonly used indices for predicting NAFLD. Our study is the first to suggest that the ZJU index could be a promising model for use in western as well as Chinese populations.

Indexed as

AdiposityAdultBiomarkersFemaleHumansIntra-Abdominal FatLipidsMiddle AgedNon-alcoholic Fatty Liver DiseaseNorth AmericaObesityROC CurveBiomarkersLipids

Identifiers

PMID31770380
PMCPMC6879170
OpenAlexW2989752477

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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.