Evidence map›Paper›PMID 37390101›Full record

ArticleClinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association2023

Risk Stratification Model for Hepatocellular Cancer in Patients With Cirrhosis.

Fasiha Kanwal, Saira Khaderi, Amit G Singal, Jorge A Marrero, Sumeet K Asrani, Christopher I Amos, Aaron P Thrift, Jennifer R Kramer, Xian Yu, Yumei Cao and 4 more

Open access · greenAbstract read
In one paragraph

Article in Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
3.4field-weighted citation impact, top 7% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Guideline
  2. 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
    Article
  3. Article
  4. Article
  5. Bioimpedance Analysis to Predict Clinical Outcomes of Liver Cirrhosis in a Prospective Cohort Study.JGH open : an open access journal of gastroenterology and hepatology · 2026
    Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Integrating PNPLA3 into clinical risk prediction.Liver international : official journal of the International Association for the Study of the Liver · 2025
    Review
  12. Review
  13. PNPLA3, Obesity, and Heavy Alcohol Use in Cirrhosis Patients May Exert a Synergistic Increase Hepatocellular Carcinoma Risk.Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association · 2024
    Article
  14. Article
  15. 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

14 authors at 7 institutions in 1 country.

Fasiha KanwalSection of Gastroenterology and Hepatology, Department of Medicine, Baylor College of Medicine, Houston, Texas; Section of Health Services Research, Department of Medicine, Baylor College of Medicine, Houston, Texas; VA HSR&D Center for Innovatio ns in Quality, Effectiveness, and Safety, Michael E. DeBakey Veterans Affairs Medical Center, Houston, Texas. Electronic address: kanwal@bcm.edu.
Saira KhaderiSection of Gastroenterology and Hepatology, Department of Medicine, Baylor College of Medicine, Houston, Texas.
Amit G SingalDivision of Digestive and Liver Diseases, Department of Medicine, UT Southwestern Medical Center, Dallas, Texas.
Jorge A MarreroDivision of Digestive and Liver Diseases, Department of Medicine, UT Southwestern Medical Center, Dallas, Texas.
Sumeet K AsraniDivision of Gastroenterology, Department of Medicine, Baylor University Medical Center, Dallas, Texas.
Christopher I AmosSection of Epidemiology, Department of Medicine, Baylor College of Medicine, Houston, Texas.
Aaron P ThriftSection of Epidemiology, Department of Medicine, Baylor College of Medicine, Houston, Texas.
Jennifer R KramerSection of Health Services Research, Department of Medicine, Baylor College of Medicine, Houston, Texas; VA HSR&D Center for Innovatio ns in Quality, Effectiveness, and Safety, Michael E. DeBakey Veterans Affairs Medical Center, Houston, Texas.
Xian YuSection of Health Services Research, Department of Medicine, Baylor College of Medicine, Houston, Texas; VA HSR&D Center for Innovatio ns in Quality, Effectiveness, and Safety, Michael E. DeBakey Veterans Affairs Medical Center, Houston, Texas.
Yumei CaoSection of Health Services Research, Department of Medicine, Baylor College of Medicine, Houston, Texas; VA HSR&D Center for Innovatio ns in Quality, Effectiveness, and Safety, Michael E. DeBakey Veterans Affairs Medical Center, Houston, Texas.
Michelle LusterSection of Gastroenterology and Hepatology, Department of Medicine, Baylor College of Medicine, Houston, Texas.
Abeer Al-SarrajSection of Gastroenterology and Hepatology, Department of Medicine, Baylor College of Medicine, Houston, Texas; Section of Health Services Research, Department of Medicine, Baylor College of Medicine, Houston, Texas; VA HSR&D Center for Innovatio ns in Quality, Effectiveness, and Safety, Michael E. DeBakey Veterans Affairs Medical Center, Houston, Texas.
Jing NingDepartment of Biostatistics, University of Texas MD Anderson Cancer Center, Houston, Texas.
Hashem B El-SeragSection of Gastroenterology and Hepatology, Department of Medicine, Baylor College of Medicine, Houston, Texas; Section of Health Services Research, Department of Medicine, Baylor College of Medicine, Houston, Texas; VA HSR&D Center for Innovatio ns in Quality, Effectiveness, and Safety, Michael E. DeBakey Veterans Affairs Medical Center, Houston, Texas. Electronic address: Hasheme@bcm.edu.
Baylor College of Medicine · USCenter for Innovation · USMichael E. DeBakey VA Medical Center · USBaylor University Medical Center · USSouthwestern Medical CenterSouthwestern Medical Center · USThe University of Texas MD Anderson Cancer Center · US

Funding

Tissue Analysis & Molecular Imaging CoreP30DK056338 · NIDDK · BAYLOR COLLEGE OF MEDICINE · PI Geoffrey A Preidis · 2001 to 2026
$28.3M
Prevention of Hepatocellular Carcinoma Related to Metabolic SyndromeP01CA263025 · NCI · BAYLOR COLLEGE OF MEDICINE · PI Hashem B El-Serag · 2022 to 2026
$8.9M
Risk Stratification for and Early Detection of Liver CancerU01CA230997 · NCI · BAYLOR COLLEGE OF MEDICINE · PI Jagpreet Chhatwal, Hashem B El-Serag · 2018 to 2026
$6.4M
Consortium on Translational Research in Early Detection of Liver Cancer:Data Management and Coordinating Center (DMCC)U24CA230144 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Ziding Feng · 2018 to 2026
$5.8M
Genome-Wide Association Study (GWAS) in Hepatocellular Carcinoma (HCC)R01CA186566 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI AMOS, CHRISTOPHER I., HASSAN, MANAL METWALLY · 2015 to 2019
$3.6M
Precision Risk Stratification and Screening for HCC among Patients with Cirrhosis in the United StatesU01CA230694 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI SINGAL, AMIT · 2018 to 2022
$3.5M
NCI NIH HHS P01 CA263025NCI NIH HHS R01 CA186566NCI NIH HHS U01 CA230694NCI NIH HHS U01 CA230997NCI NIH HHS U24 CA230144NIDDK NIH HHS P30 DK056338
6 · The paper itself

Abstract

BACKGROUND &

aimsThe available risk stratification indices for hepatocellular cancer (HCC) have limited applicability. We developed and externally validated an HCC risk stratification index in U.S. cohorts of patients with cirrhosis.

methodsWe used data from 2 prospective U.S. cohorts to develop the risk index. Patients with cirrhosis were enrolled from 8 centers and followed until development of HCC, death, or December 31, 2021. We identified an optimal set of predictors with the highest discriminatory ability (C-index) for HCC. The predictors were refit using competing risk regression and its predictive performance was evaluated using the area under the receiver-operating characteristic curve (AUROC). External validation was performed in a cohort of 21,550 patients with cirrhosis seen in the U.S Veterans Affairs system between 2018 and 2019 with follow-up through 2021.

resultsWe developed the model in 2431 patients (mean age 60 years, 31% women, 24% cured hepatitis C, 16% alcoholic liver disease, and 29% nonalcoholic fatty liver disease). The selected model had a C-index of 0.77 (95% confidence interval [CI], 0.73-0.81), and the predictors were age, sex, smoking, alcohol use, body mass index, etiology, α-fetoprotein, albumin, alanine aminotransferase, and platelet levels. The AUROCs were 0.75 (95% CI, 0.65-0.85) at 1 year and 0.77 (95% CI, 0.71-0.83) at 2 years, and the model was well calibrated. In the external validation cohort, the AUROC at 2 years was 0.70 with excellent calibration.

conclusionThe risk index, including objective and routinely available risk factors, can differentiate patients with cirrhosis who will develop HCC and help guide discussions regarding HCC surveillance and prevention. Future studies are needed for additional external validation and refinement of risk stratification.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsFemaleHumansLiver CirrhosisMaleMiddle AgedProspective StudiesRisk AssessmentRisk FactorsLiver CancerPersonalizedPredictionValidation

Identifiers

PMID37390101
PMCPMC10661677
OpenAlexW4367550364

What OpenQuestion holds

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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.