Evidence map›Paper›PMID 30516570›Full record

ArticleEuropean journal of gastroenterology & hepatology2019

The diagnostic performance of a simplified blood test (SteatoTest-2) for the prediction of liver steatosis.

Thierry Poynard, Valentina Peta, Mona Munteanu, Frederic Charlotte, Yen Ngo, An Ngo, Hugo Perazzo, Olivier Deckmyn, Raluca Pais, Philippe Mathurin and 4 more

Open access · hybridAbstract readValidation Study
In one paragraph

Article in European journal of gastroenterology & hepatology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.6field-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, 23 citations in OpenAlex.

  1. Article
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  6. Non-invasive assessment of metabolic dysfunction-associated fatty liver disease.Therapeutic advances in endocrinology and metabolism · 2022
    Review
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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

14 authors at 6 institutions in 2 countries.

Thierry PoynardDepartment of Hepatology, Assistance Publique-Hôpitaux de Paris, Pitié-Salpêtrière Hospital.
Valentina PetaBioPredictive, Paris.
Mona MunteanuBioPredictive, Paris.
Frederic CharlotteDepartment of Hepatology, Assistance Publique-Hôpitaux de Paris, Pitié-Salpêtrière Hospital.
Yen NgoBioPredictive, Paris.
An NgoBioPredictive, Paris.
Hugo PerazzoDepartment of Hepatology, Assistance Publique-Hôpitaux de Paris, Pitié-Salpêtrière Hospital.
Olivier DeckmynBioPredictive, Paris.
Raluca PaisDepartment of Hepatology, Assistance Publique-Hôpitaux de Paris, Pitié-Salpêtrière Hospital.
Philippe MathurinDepartment of Digestive Diseases, Hôpital Huriez, CHRU Lille, Lille, France.
Rob MyersGilead Sciences Inc., Foster City.
Rohit LoombaDivision of Gastroenterology and Epidemiology, NAFLD Research Center, University of California San Diego, California, USA.
Vlad RatziuDepartment of Hepatology, Assistance Publique-Hôpitaux de Paris, Pitié-Salpêtrière Hospital.
FLIP consortium, the FibroFrance-CPAM group, the FibroFrance-Obese group, and the Selonsertib group
BioPredict (United States) · USInserm · FRGilead Sciences (United States) · USHôpital Claude Huriez · FRSorbonne Université · FRUniversity of California San Diego · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSerum biomarkers of steatosis such as the SteatoTest are recommended for large-scale screening studies, because imaging is less accessible and more expensive.

aimsThe primary aim of this retrospective analysis of prospective studies was to construct a new SteatoTest-2 that was not inferior to the reference first-generation SteatoTest, but that did not include BMI or bilirubin, as these two components can increase test variability because of the assessment of weight and height and in case of Gilbert syndrome or hemolysis, respectively. PATIENTS AND

methodsFive different subsets of 2997 patients with biopsies were evaluated for test construction and validation, and four to assess the prevalence of steatosis in target populations with increasing risks of steatosis. The performance of the SteatoTest-2 was compared with the reference test, using the noninferiority test (0.10 margin) and the Lin concordance coefficient.

resultsAreas under the receiver operating characteristic curve of the SteatoTest-2 were noninferior to the reference test (P<0.001). Areas under the receiver operating characteristic curve varied in the SteatoTest-2 and the reference test according to subsets and the prevalence of steatosis, with 0.772 [95% confidence interval (CI): 0.713-0.820] versus 0.786 (95% CI: 0.729-0.832) in the 2997 cases with biopsy and 0.822 (95% CI: 0.810-0.834) versus 0.868 (95% CI: 0.858-0.878) in the 5776 cases including healthy individuals without risk factors of steatosis as controls, respectively. The Lin coefficient was highly concordant (P<0.001), from 0.74 (95% CI: 0.74-0.74) in presumed NAFLD to 0.91 (95% CI: 0.89-0.93) in the construction subset.

conclusionThe SteatoTest-2 is simpler and noninferior to the first-generation SteatoTest for the diagnosis of steatosis, without the limitations of BMI and bilirubin.

Indexed as

AdultAge FactorsBiomarkersBiopsyFatty LiverFeasibility StudiesFemaleHumansMaleMiddle AgedPredictive Value of TestsPrevalenceReproducibility of ResultsRetrospective StudiesSeverity of Illness IndexSex FactorsBiomarkers

Identifiers

PMID30516570
PMCPMC6380449
OpenAlexW2905377313

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.