Evidence map›Paper›PMID 39504020›Full record

ArticleJAMA network open2024

Risk Score for Hepatocellular Cancer in Adults Without Viral Hepatitis or Cirrhosis.

Ysabel C Ilagan-Ying, Kirsha S Gordon, Janet P Tate, Joseph K Lim, Jessie Torgersen, Vincent Lo Re, Amy C Justice, Tamar H Taddei

Erratum issuedAbstract read
In one paragraph

Article in JAMA network open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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. Validation of Texas Hepatocellular Carcinoma Consortium Risk Index in the Hepatocellular Carcinoma Early Detection Strategy Study.Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Ysabel C Ilagan-YingDepartment of Medicine, Yale School of Medicine, New Haven, Connecticut.
Kirsha S GordonDepartment of Medicine, Yale School of Medicine, New Haven, Connecticut.
Janet P TateDepartment of Medicine, Yale School of Medicine, New Haven, Connecticut.
Joseph K LimDepartment of Medicine, Yale School of Medicine, New Haven, Connecticut.
Jessie TorgersenDivision of Infectious Diseases, Department of Medicine and Center for Clinical Epidemiology and Biostatistics, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia.
Vincent Lo ReDivision of Infectious Diseases, Department of Medicine and Center for Clinical Epidemiology and Biostatistics, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia.
Amy C JusticeDepartment of Medicine, Yale School of Medicine, New Haven, Connecticut.
Tamar H TaddeiDepartment of Medicine, Yale School of Medicine, New Haven, Connecticut.

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
Alcohol Associated Outcomes Among HIV+/- Aging VeteransU10AA013566 · NIAAA · YALE UNIVERSITY · PI JUSTICE, AMY CAROLINE · 2006 to 2010
$12.7M
Alcohol and Multisubstance Use in the Veterans Aging Cohort StudyU01AA020790 · NIAAA · YALE UNIVERSITY · PI JUSTICE, AMY CAROLINE · 2011 to 2020
$7.7M
The HIV and Alcohol Research center focused on Polypharmacy (HARP)P01AA029545 · NIAAA · YALE UNIVERSITY · PI HSIEH, EVELYN · 2021 to 2025
$6.3M
Sex Disparities in Overall Response to ART Among HIV Infected IndividualsU24AA020794 · NIAAA · YALE UNIVERSITY · PI JUSTICE, AMY CAROLINE · 2011 to 2020
$5.5M
Translational Research on Alcohol, Immunodeficiency, and Aging In COMpAAASU24AA022001 · NIAAA · YALE UNIVERSITY · PI BRANDT, CYNTHIA A. · 2012 to 2020
$3.2M
(PQ4)HIV and Aging Mechanisms for Hepatocellular CancerR01CA206465 · NCI · YALE UNIVERSITY · PI JUSTICE, AMY CAROLINE, LO RE, VINCENT · 2016 to 2020
$2.5M
Use of Deep Learning Algorithms to Enable Evaluation of the Determinants and Outcomes of Hepatic Steatosis, by HIV StatusK08DK132977 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI Jessie Torgersen · 2022 to 2026
$840k
NCATS NIH HHS UL1 TR001863NCI NIH HHS R01 CA206465NIAAA NIH HHS P01 AA029545NIAAA NIH HHS U01 AA020790NIAAA NIH HHS U10 AA013566NIAAA NIH HHS U24 AA020794NIAAA NIH HHS U24 AA022001NIDDK NIH HHS K08 DK132977
6 · The paper itself

Abstract

Importance: Hepatocellular carcinoma (HCC) is typically detected only at advanced stages when treatment options are limited. Most of the current HCC risk models focus on patients with viral hepatitis or diagnosed cirrhosis or require variables not routinely available in clinical care. Objective: To identify modifiable HCC risk factors in the general population and to develop a risk score to inform HCC screening and risk-factor modification interventions for high-risk individuals without viral hepatitis or decompensated cirrhosis. Design, Setting, and Participants: This cohort study analyzed demographic, clinical, laboratory, and diagnostic data from the US Department of Veterans Affairs (VA) electronic health records. Data were divided into development and validation samples. Veterans aged 30 to 95 years were included, and those with hepatitis B or C virus infection, hepatic decompensation, or prevalent HCC were excluded. Patients were followed up until the occurrence of HCC diagnosis, death, or December 31, 2021. A Cox proportional hazards regression model for 10-year risk of HCC was developed and used to create an HCC risk score, and performance in development and validation samples and in patient subgroups was evaluated. One outpatient visit date per person at least 18 months after VA entry, between October 1, 2007, and March 31, 2020, was randomly selected and used as the index date for the start of follow-up. Analyses were performed from March 2023 to May 2024. Exposures: Age, sex, race and ethnicity, body mass index, liver fibrosis (detected with Fibrosis-4 Index [FIB-4]), diabetes status, smoking status, and alcohol use. Main Outcomes and Measures: First HCC diagnosis during follow-up. This information was ascertained from VA national cancer registry topography and histology codes and from International Classification of Diseases, Ninth Revision and International Statistical Classification of Diseases, Tenth Revision, Clinical Modification diagnosis codes for the inpatient or outpatient visits. Results: This study of 6 509 288 veterans included 6 048 917 males (92.9%), with a median (IQR) age of 65 (54-74) years, who identified as being of Hispanic (5.3%), non-Hispanic Black (15.0%), non-Hispanic White (68.9%), or other (4.6%) race and ethnicity. Overall, 15 142 patients (0.2%) developed HCC, 69.5% of whom had FIB-4 of 3.25 or lower at baseline. While FIB-4 was the most important variable, age, sex, race and ethnicity, body mass index, diabetes, smoking, and alcohol use were also informative. Discrimination in the development sample was better than FIB-4 alone (C statistic, 0.83 [95% CI, 0.82-0.85] vs 0.79 [95% CI, 0.77-0.80]). The HCC risk score performed consistently well in the validation sample and in all subgroups. A FIB-4 threshold of 3.25 would screen 5.0% of the cohort at a cost of 28 false-positives for every true-positive; a model risk score of 58 would screen 4.7% of the cohort at a cost of 23 false-positives for every true-positive. Conclusions and Relevance: Results of this study suggest that a multivariable risk score that uses routinely available clinical data outperforms FIB-4 alone in identifying patients at risk of HCC who do not have viral hepatitis or hepatic decompensation at baseline.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsAdultAgedAged, 80 and overCohort StudiesFemaleHumansLiver CirrhosisMaleMiddle AgedProportional Hazards ModelsRisk AssessmentRisk FactorsUnited States

Identifiers

PMID39504020
PMCPMC11541635

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.