Evidence map›Paper›PMID 33559089›Full record

ArticleDigestive diseases and sciences2022

Performance of Serum-Based Scores for Identification of Mild Hepatic Steatosis in HBV Mono-infected and HBV-HIV Co-infected Adults.

Richard K Sterling, Wendy C King, Mandana Khalili, David E Kleiner, Amanda S Hinerman, Mark Sulkowski, Raymond T Chung, Mamta K Jain, M Auricio Lisker-Melman, David K Wong and 2 more

Registry-linked trialOpen access · greenAbstract read
In one paragraph

Article in Digestive diseases and sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01924455 (HBV-HIV Coinfection Research Network), which is not on this map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.1field-weighted citation impact, top 24% 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.

NCT01924455 completednot on this map

HBV-HIV Coinfection Research Network

TypeobservationalSponsorVirginia Commonwealth UniversityRan2014 to 2019Enrolled139ConditionsHepatitis B, Human Immunodeficiency Virus
3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. 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

12 authors at 9 institutions in 2 countries.

Richard K SterlingSection of Hepatology, Virginia Commonwealth University, 1200 E Broad Street, West Hospital, Rm 1478, Richmond, VA, 23298-0341, USA. Richard.sterling@vcuhealth.org.ORCID 0000-0002-8637-2475
Wendy C KingDepartment of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, USA.
Mandana KhaliliUniversity of California San Francisco, San Francisco, USA.
David E KleinerNational Institutes of Health, Bethesda, USA.
Amanda S HinermanDepartment of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, USA.
Mark SulkowskiJohns Hopkins University, Baltimore, USA.
Raymond T ChungMassachusetts General Hospital, Boston, USA.
Mamta K JainUT Southwestern Medical Center, Dallas, USA.
M Auricio Lisker-MelmanWashington University School of Medicine, St. Louis, USA.
David K WongUniversity Health Network, Toronto, Canada.
Marc G GhanyNational Institutes of Health, Bethesda, USA.
HBV-HIV Cohort Study of the Hepatitis B Research Network
National Institutes of Health · USUniversity of Pittsburgh · USJohns Hopkins University · USMassachusetts General Hospital · USSouthwestern Medical Center · USUniversity Health Network · CAUniversity of California, San Francisco · USVirginia Commonwealth University · USWashington University in St. Louis · US

Funding

Postmortem PathologyZICBC010685 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI KLEINER, DAVID ERWIN · 2009 to 2025
$14.3M
Hepatitis B Research Network (HBRN): Natural History and Treatment StudiesU01DK082944 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI COOPER, STEWART, KHALILI, MANDANA · 2008 to 2019
$10.0M
Natural History, Therapy and Pathogenesis of Chronic Viral Hepatitis BZIADK054517 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI GHANY, MARC · 2009 to 2025
$9.6M
HBV HIV Coinfection Research NetworkR01DK094818 · NIDDK · VIRGINIA COMMONWEALTH UNIVERSITY · PI STERLING, RICHARD K. · 2013 to 2017
$3.5M
Mentoring Multidisciplinary Patient-Oriented Research in Viral HepatitisK24AA022523 · NIAAA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KHALILI, MANDANA · 2013 to 2023
$1.9M
Patient Oriented Research in Hepatitis C-infected Injection Drug UsersK24DA034621 · NIDA · JOHNS HOPKINS UNIVERSITY · PI SULKOWSKI, MARK SEBASTIAN · 2012 to 2022
$1.2M
NIAAA NIH HHS K24 AA022523NIDA NIH HHS K24 DA034621NIDDK NIH HHS R01 DK094818NIDDK NIH HHS U01 DK082944
6 · The paper itself

Abstract

backgroundThere are limited data on noninvasive methods to identify hepatic steatosis in coexisting hepatitis B virus (HBV) infection.

aimsTo evaluate the diagnostic performance of noninvasive serum-based scores to detect steatosis using two distinct chronic HBV cohorts with liver histology evaluation.

methodsChronic HBV cohorts with untreated HBV mono-infection (N = 302) and with treated HBV-HIV (N = 92) were included. Liver histology was scored centrally. Four serum-based scores were calculated: hepatic steatosis index (HSI), nonalcoholic fatty liver disease Liver Fat Score (NAFLD-LFS), visceral adiposity index (VAI), and triglyceride glucose (TyG) index. Optimal cutoffs (highest sensitivity + specificity) to detect ≥ 5% HS, stratified by cohort, were evaluated.

resultsHBV-HIV (vs. HBV mono-infected) patients were older (median 50 vs. 43 years), and a higher proportion were male (92% vs. 60%), were black (51% vs. 8%), had the metabolic syndrome (41% vs. 25%), and suppressed HBV DNA (< 1000 IU/mL; 82% vs. 9%). Applying optimal cutoffs, the area under the receiver operator curve for detecting ≥ 5% steatosis in HBV-only and HBV-HIV, respectively, was 0.69 and 0.61 for HSI, 0.70 and 0.76 for NAFLD-LFS, 0.68 and 0.64 for TyG, and 0.68 and 0.69 for VAI. The accuracy of optimal cutoffs ranged from 61% (NAFLD-LFS) to 67% (TyG) among HBV-only and 56% (HSI) to 76% (NAFLD-LFS) among HBV-HIV. Negative predictive values were higher than positive predictive values for all scores in both groups.

conclusionThe relative utility of scores to identify steatosis in chronic HBV differs by co-infection/anti-HBV medication status. However, even with population-specific cutoffs, several common serum-based scores have only moderate utility. ClinicalTrials.gov NCT01924455.

Indexed as

AdultAlanine TransaminaseAnti-HIV AgentsAntiviral AgentsAspartate AminotransferasesCoinfectionDiabetes MellitusDNA, ViralFemaleHepatitis B, ChronicHIV InfectionsHumansIntra-Abdominal FatMaleMetabolic SyndromeMiddle AgedAlanine TransaminaseAnti-HIV AgentsAntiviral AgentsAspartate AminotransferasesDNA, ViralTriglyceridesHBVHBV–HIVNoninvasiveSteatosis

Identifiers

PMID33559089
PMCPMC9516840
OpenAlexW3127761481

What OpenQuestion holds

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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.