Evidence map›Paper›PMID 33185999›Full record

ArticleJournal of acquired immune deficiency syndromes (1999)2020

Brief Report: Accuracy of FIB-4 for Cirrhosis in People Living With HIV and Hepatocellular Carcinoma.

Jessie Torgersen, Michael J Kallan, Dean M Carbonari, Lesley S Park, Rajni L Mehta, Kathryn D'Addeo, Janet P Tate, Joseph K Lim, Matthew Bidwell Goetz, Maria C Rodriguez-Barradas and 5 more

Open access · greenAbstract read
In one paragraph

Article in Journal of acquired immune deficiency syndromes (1999), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 85% 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

1 citing paper in PubMed, 0 citations in OpenAlex.

  1. Review
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

15 authors at 7 institutions in 1 country.

Jessie TorgersenDivision of Infectious Diseases, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
Michael J KallanDepartment of Biostatistics, Epidemiology, and Informatics, Center for Clinical Epidemiology and Biostatistics, Center for Pharmacoepidemiology Research and Training, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
Dean M CarbonariDepartment of Biostatistics, Epidemiology, and Informatics, Center for Clinical Epidemiology and Biostatistics, Center for Pharmacoepidemiology Research and Training, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
Lesley S ParkStanford Center for Population Health Sciences, Stanford University School of Medicine, Stanford, CA.
Rajni L MehtaDepartment of Medicine, Yale School of Medicine, New Haven, CT.
Kathryn D'AddeoDepartment of Medicine, Yale School of Medicine, New Haven, CT.
Janet P TateDepartment of Medicine, Yale School of Medicine, New Haven, CT.
Joseph K LimDepartment of Medicine, Yale School of Medicine, New Haven, CT.
Matthew Bidwell GoetzInfectious Diseases Section, VA Greater Los Angeles Healthcare System and Division of Infectious Diseases, Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA.
Maria C Rodriguez-BarradasInfectious Diseases Section, Michael E. DeBakey VA Medical Center and Department of Medicine, Baylor College of Medicine, Houston, TX; and.
Norbert BräuDepartment of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY and James J. Peters VA Medical Center, Bronx, NY.
Sheldon T BrownDepartment of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY and James J. Peters VA Medical Center, Bronx, NY.
Tamar H TaddeiDepartment of Medicine, Yale School of Medicine, New Haven, CT.
Amy C JusticeDepartment of Medicine, Yale School of Medicine, New Haven, CT.
Vincent Lo ReDivision of Infectious Diseases, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
Yale University · USCenter for Clinical Research (United States) · USVA Connecticut Healthcare System · USBaylor College of Medicine · USStanford University · USUniversity of Pennsylvania · USVA Greater Los Angeles Healthcare System · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Virus & Reservoirs CoreP30AI045008 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI ROBERT GROSS · 1999 to 2026
$78.6M
Alcohol Associated Outcomes Among HIV+/-Aging VeteransU01AA013566 · NIAAA · YALE UNIVERSITY · PI JUSTICE, AMY CAROLINE · 2002 to 2005
$10.1M
(PQ4)HIV and Aging Mechanisms for Hepatocellular CancerR01CA206465 · NCI · YALE UNIVERSITY · PI JUSTICE, AMY CAROLINE, LO RE, VINCENT · 2016 to 2020
$2.5M
NCATS NIH HHS UL1 TR001863NCI NIH HHS R01 CA206465NIAAA NIH HHS U01 AA013566NIAID NIH HHS P30 AI045008
6 · The paper itself

Abstract

backgroundHepatocellular carcinoma (HCC) may develop in the absence of cirrhosis in HIV, and determining how often this occurs can provide insights into mechanisms of carcinogenesis. Studies evaluating the prevalence of cirrhosis in the setting of HCC among people living with HIV (PLWH) often rely on noninvasive markers, such as the Fibrosis-4 Index for Hepatic Fibrosis (FIB-4). However, the accuracy of FIB-4 for cirrhosis in the setting of HCC has not been determined among PLWH.

methodsWe conducted a cross-sectional study among PLWH in the Veterans Aging Cohort Study with VA cancer registry-confirmed HCC diagnosed between 1999 and 2015. FIB-4 was calculated using the age, alanine aminotransferase, aspartate aminotransferase, and platelet count obtained closest to, but within 1 year before, HCC diagnosis. Medical records were reviewed within 1 year before HCC diagnosis to determine the cirrhosis status. We evaluated the area under the receiver-operating characteristic curve and performance characteristics of FIB-4 for confirmed cirrhosis.

resultsIncident HCC was diagnosed in 302 PLWH. After medical record review, 203 (67.2%, 95% confidence interval: 61.6% to 72.5%) had evidence of cirrhosis. FIB-4 identified patients with cirrhosis with an area under the receiver-operating characteristic curve of 0.67 (95% confidence interval: 0.60 to 0.73). FIB-4 scores >5.0 had a positive predictive value >80% and specificity of >77%, negative predictive value of <41%, and sensitivity of <45%.

conclusionThe accuracy of FIB-4 for cirrhosis in the setting of HIV and HCC is modest and may result in misclassification of cirrhosis in this population.

Indexed as

Age FactorsAlanine TransaminaseAspartate AminotransferasesCarcinoma, HepatocellularClinical Decision RulesCross-Sectional StudiesFemaleHIV InfectionsHumansLiver CirrhosisLiver NeoplasmsMaleMiddle AgedPlatelet CountRegistriesVirginiaAlanine TransaminaseAspartate Aminotransferases

Identifiers

PMID33185999
PMCPMC8353543
OpenAlexW3088120551

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.