Evidence map›Paper›PMID 27220852›Full record

ArticleObesity surgery2017

Modified thresholds for fibrosis risk scores in nonalcoholic fatty liver disease are necessary in the obese.

Geraldine J Ooi, Paul R Burton, Lisa Doyle, John M Wentworth, Prithi S Bhathal, Ken Sikaris, Michael A Cowley, Stuart K Roberts, William Kemp, Paul E O'Brien and 1 more

Abstract readValidation Study
PubMed Publisher
In one paragraph

Article in Obesity surgery, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

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  18. Noninvasive Evaluation of Liver Function in Morbidly Obese Patients.Gastroenterology research and practice · 2019
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  19. [Diagnostic application of serum GP73 and the relevant mechanism in the diagnosis of liver cirrhosis].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2018
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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

11 authors at 4 institutions in 1 country.

Geraldine J OoiCentre for Obesity Research and Education, Monash University, 99 Commercial Road, Melbourne, Australia. geraldine.ooi@monash.edu.
Paul R BurtonCentre for Obesity Research and Education, Monash University, 99 Commercial Road, Melbourne, Australia.
Lisa DoyleCentre for Obesity Research and Education, Monash University, 99 Commercial Road, Melbourne, Australia.
John M WentworthCentre for Obesity Research and Education, Monash University, 99 Commercial Road, Melbourne, Australia.
Prithi S BhathalDepartment of Pathology, University of Melbourne, Melbourne, VIC, Australia.
Ken SikarisMelbourne Pathology, East Melbourne, Australia.
Michael A CowleyMODI, Monash University, Melbourne, Australia.
Stuart K RobertsDepartment of Gastroenterology, Alfred Hospital, Melbourne, Australia.
William KempDepartment of Gastroenterology, Alfred Hospital, Melbourne, Australia.
Paul E O'BrienCentre for Obesity Research and Education, Monash University, 99 Commercial Road, Melbourne, Australia.
Wendy A BrownCentre for Obesity Research and Education, Monash University, 99 Commercial Road, Melbourne, Australia.
Monash University · AUThe Alfred Hospital · AUMelbourne Clinic · AUUniversity of Melbourne · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundObesity and its related comorbidities are significant risk factors for nonalcoholic fatty liver disease (NAFLD). Liver fibrosis is the major determinant of long-term outcomes in NAFLD. A non-invasive tool that accurately identifies obese patients at elevated risk of liver fibrosis would be of significant value. Fibrosis risk scores in patients with NAFLD have been proposed but have not been validated in obese populations. We aimed to validate established simple fibrosis scores in bariatric surgical patients.

methodsWe conducted a prospective study of 107 consecutive high-risk obese patients undergoing primary bariatric surgery. Proposed fibrosis scores (NAFLD fibrosis score; body mass index (BMI), aspartate aminotransferase (AST)/alanine aminotransferase ratio (ALT), and diabetes (BARD); Fibrosis-4 (FIB-4); Forn; and AST to platelet ratio index) were calculated and compared hepatic fibrosis determined by histology of intraoperative liver biopsies. Accuracy was determined, and fibrosis score thresholds were optimized. These modified thresholds were then validated in an independent bariatric surgical population.

resultsLiver biopsies were available in 101 patients. Sixty-eight patients had some degree of fibrosis, with 23 patients (23 %) having significant fibrosis (F2-4). The Forn score best predicted significant fibrosis (area under the receiver operator characteristic curve (AUROC) 0.724, p = 0.001). With standard thresholds, the sensitivity for the Forn score for identification of significant fibrosis (F2-4) was 0 %. Using modified thresholds of 3.5, the sensitivity and negative predictive value increased to 85.7 and 94.7 %. This threshold was applied to an independent validation cohort with good accuracy.

conclusionsFibrosis risk scores using simple markers have moderate success at delineating obese patients with significant NAFLD-related fibrosis. Thresholds, however, need to be lowered to maximize diagnostic accuracy in this cohort.

Indexed as

Diagnostic Techniques, EndocrineAdultArea Under CurveBariatric SurgeryBiopsyFemaleHumansLiver CirrhosisLiver Function TestsMaleMiddle AgedNon-alcoholic Fatty Liver DiseaseObesity, MorbidResearch DesignRisk FactorsROC Curve4, BARD, APRI, Forn scoreFibrosis risk scores, NAFLD fibrosis score, FIBNonalcoholic fatty liver diseaseObesitySensitivity and specificity

Identifiers

PMID27220852
OpenAlexW2404819159

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.