Evidence map›Paper›PMID 31789950›Full record

ArticleEuropean journal of gastroenterology & hepatology2020

Performance of liver biomarkers, in patients at risk of nonalcoholic steato-hepatitis, according to presence of type-2 diabetes.

Thierry Poynard, Valentina Peta, Olivier Deckmyn, Raluca Pais, Yen Ngo, Frederic Charlotte, An Ngo, Mona Munteanu, Françoise Imbert-Bismut, Denis Monneret and 7 more

Open access · hybridAbstract read
In one paragraph

Article in European journal of gastroenterology & hepatology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 25% 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, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Observational
  4. Review
  5. Article
  6. Article
  7. Article
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

17 authors at 4 institutions in 2 countries.

Thierry PoynardAssistance Publique-Hôpitaux de Paris, Pitié-Salpêtrière Hospital, Hepatology Department.
Valentina PetaSorbonne Université, INSERM, Saint-Antoine Research Center & Institute of Cardiometabolism and Nutrition.
Olivier DeckmynBioPredictive.
Raluca PaisAssistance Publique-Hôpitaux de Paris, Pitié-Salpêtrière Hospital, Hepatology Department.
Yen NgoSorbonne Université, INSERM, Saint-Antoine Research Center & Institute of Cardiometabolism and Nutrition.
Frederic CharlotteAssistance Publique-Hôpitaux de Paris, Pitié-Salpêtrière Hospital, Anatomy Pathology Department.
An NgoBioPredictive.
Mona MunteanuSorbonne Université, INSERM, Saint-Antoine Research Center & Institute of Cardiometabolism and Nutrition.
Françoise Imbert-BismutAssistance Publique-Hôpitaux de Paris, Pitié-Salpêtrière Hospital, Biochemistry Department, Paris.
Denis MonneretAssistance Publique-Hôpitaux de Paris, Pitié-Salpêtrière Hospital, Biochemistry Department, Paris.
Chantal HoussetSorbonne Université, INSERM, Saint-Antoine Research Center & Institute of Cardiometabolism and Nutrition.
Dominique ThabutAssistance Publique-Hôpitaux de Paris, Pitié-Salpêtrière Hospital, Hepatology Department.
Dominique VallaAssistance Publique Hopitaux de Paris, Hôpital Beaujon, University Paris-Diderot, Clichy.
Christian BoitardAssistance Publique Hopitaux de Paris, Hôpital Cochin, University Paris-Descartes, Paris, France.
Laurent CasteraAssistance Publique Hopitaux de Paris, Hôpital Beaujon, University Paris-Diderot, Clichy.
Vlad RatziuAssistance Publique-Hôpitaux de Paris, Pitié-Salpêtrière Hospital, Hepatology Department.
FLIP consortium, the FibroFrance Group, the EPIC-3 program and the QUID-NASH group
Inserm · FRSorbonne Université · FRUniversité Paris Cité · FRBioPredict (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThere is a controversy about the performance of blood tests for the diagnostic of metabolic liver disease in patients with type-2-diabetes in comparison with patients without type-2-diabetes. These indirect comparisons assumed that the gold-standard is binary, whereas fibrosis stages, steatosis and nonalcoholic-steato-hepatitis (NASH) grades use an ordinal scale. The primary aim was to compare the diagnostic performances of FibroTest in type-2-diabetes vs. controls matched on gender, age, fibrosis stages and obesity, and taking into account the spectrum effect by Obuchowski measure.

methodsData were retrospectively compared among patients prospectively included, with simultaneous biopsy and blindly assessed FibroTest, SteatoTest-2 and NashTest-2. The secondary aim was to construct an index (SpectrumF3F4-Index) to predict an adjusted-area under the receiver operating curve (AUROC) for F3F4 diagnosis from the prevalences of fibrosis stages, permitting to reduce the spectrum effect when performances of FibroTest, transient elastography and magnetic resonance elastography are indirectly compared.

resultsIn 505 patients at risk of NASH, the Obuchowski measures [95% confidence interval (CI)] of FibroTest, SteatoTest-2 and NashTest-2 were all equivalent in 136 type-2-diabetes cases vs. 369 matched controls: 0.871 (0.837-0.905), vs. 0.880 (0.879-0.881), 0.835 (0.797-0.873) vs. 0.806 (0.780-0.832) and 0.829 (0.793-0.865) vs. 0.855 (0.829-0.869), respectively. Standard-AUROCs (95% CI) were 0.932 (0.898-0.965), 0.872 (0.837-0.907) and 0.834 (0.699-0.969) and reduced after adjustment by SpectrumF3F4-Index to 0.794 (0.749-0.838), 0.767 (0.750-0.783) and 0.773 (0.725-0.822) for transient, magnetic resonance elastography and FibroTest, respectively.

conclusionsWhen compared by Obuchowski measures, the performances of tests were not different in patients with T2-diabetes vs. patients without T2-diabetes. When individual data are not available, adjusted-AUROCs reduced the spectrum effect.

Indexed as

Diabetes Mellitus, Type 2Elasticity Imaging TechniquesHepatitisNon-alcoholic Fatty Liver DiseaseBiomarkersBiopsyHumansLiverLiver CirrhosisProspective StudiesRetrospective StudiesBiomarkers

Identifiers

PMID31789950
PMCPMC7337110
OpenAlexW2990781917

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.