Evidence map›Paper›PMID 40408282›Full record

Observational studyHepatology communications2025

HCC surveillance in hepatitis C: A longitudinal algorithm improves alpha-fetoprotein screening.

Tracey L Marsh, Janet M Johnston, Chriss Homan, Lisa J Townshend-Bulson, Nicole J Kim, Trang VoPham, Xiaohong Li, Qianchuan He, Brian J McMahon, George N Ioannou and 1 more

Abstract readObservational Study
In one paragraph

Observational study in Hepatology communications, 2025. 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
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.

  1. 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

11 authors.

Tracey L MarshBiostatistics Program, Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA.ORCID 0000-0002-6865-5092
Janet M JohnstonLiver Disease and Hepatitis Program, Alaska Native Tribal Health Consortium, Anchorage, Alaska, USA.ORCID 0000-0001-8738-9677
Chriss HomanLiver Disease and Hepatitis Program, Alaska Native Tribal Health Consortium, Anchorage, Alaska, USA.ORCID 0009-0008-1771-9667
Lisa J Townshend-BulsonLiver Disease and Hepatitis Program, Alaska Native Tribal Health Consortium, Anchorage, Alaska, USA.ORCID 0000-0001-9497-3353
Nicole J KimDivision of Gastroenterology, Department of Medicine, University of Washington, Seattle, Washington, USA.ORCID 0000-0003-2348-0580
Trang VoPhamEpidemiology Program, Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA.ORCID 0000-0003-4787-1201
Xiaohong LiBioinformatics and Epidemiology Program, Vaccine and Infection Disease Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA.ORCID 0000-0003-4438-2664
Qianchuan HeBiostatistics Program, Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA.ORCID 0000-0001-7044-6591
Brian J McMahonLiver Disease and Hepatitis Program, Alaska Native Tribal Health Consortium, Anchorage, Alaska, USA.ORCID 0000-0002-2347-7771
George N IoannouDivision of Gastroenterology, Department of Medicine, University of Washington, Seattle, Washington, USA.ORCID 0000-0003-1796-8977
Ziding FengBiostatistics Program, Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA.ORCID 0000-0003-3051-8882

Funding

The Early Detection Research Network: Data Management and Coordinating CenterU24CA086368 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI RUTH D ETZIONI, Ziding Feng · 2010 to 2026
$75.7M
XENOBIOTIC BIOTRANSFORMATION AND DISPOSITIONP30ES007033 · NIEHS · UNIVERSITY OF WASHINGTON · PI Joel Daniel Kaufman · 1995 to 2026
$42.5M
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
Precompetitive Collaboration on Liquid Biopsy for Early Cancer Assessment: Data Management and Coordinating UnitU24CA288185 · NCI · FRED HUTCHINSON CANCER CENTER · PI Wei Sun, Yingye Zheng · 2023 to 2026
$3.1M
Risk stratification strategies and abbreviated MRI-based surveillance for early detection of HCC in high-risk AI/AN patientsP20CA252732 · NCI · UNIVERSITY OF WASHINGTON · PI GRADY, WILLIAM MALLORY, IOANNOU, GEORGE · 2021 to 2023
$2.7M
Methods for Analyzing Cancer Somatic Mutation DataR01CA223498 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI HE, QIANCHUAN · 2018 to 2022
$2.0M
NCI NIH HHS P20 CA252732NCI NIH HHS R01 CA223498NCI NIH HHS U24 CA086368NCI NIH HHS U24 CA230144NCI NIH HHS U24 CA288185NIEHS NIH HHS P30 ES007033
6 · The paper itself

Abstract

backgroundSurveillance for HCC remains important after hepatitis C cure. Improved sensitivity of screening with alpha-fetoprotein (AFP) by using a parametric empirical Bayes (PEB) algorithm, which incorporates an individual patient's longitudinal AFP measurements, was previously demonstrated in a retrospective analysis of clinical trial data prior to widespread hepatitis C cure.

methodsWe analyzed de-identified data extracted from the medical records of participants in the Alaska Hepatitis C Study, which aims to enroll all Alaska Native persons living in Alaska with a history of hepatitis C.We compared the performance characteristics of AFP as a screening test using the PEB method versus a fixed cutoff (FC) method in an observational setting, separately for HCC surveillance in active and cured hepatitis C.

resultsThe PEB and FC methods were applied to AFP levels from participants with F3/F4 fibrosis who had active hepatitis C (173 no HCC, 14 HCC) or after they achieved hepatitis C cure (162 no HCC, 12 HCC). Compared to a fixed 20 ng/mL cutoff, demonstrating 91.2% specificity in active hepatitis C, PEB increased sensitivity from 64.3% to 71.4%. After cure, a fixed 7.2 ng/mL cutoff demonstrated 91.2% specificity, and PEB increased sensitivity from 58.3% to 91.7%.

conclusionsThe PEB algorithm can increase sensitivity and lead to earlier detection of HCC among patients with F3/F4 fibrosis, both in active and even more so in cured hepatitis C. Lower AFP levels after cure indicate that for either PEB or FC methods, screening parameters, such as cutoffs for a target specificity, should be specified separately by hepatitis C treatment status for HCC surveillance.

Indexed as

Algorithmsalpha-FetoproteinsCarcinoma, HepatocellularEarly Detection of CancerHepatitis CHepatitis C, ChronicLiver NeoplasmsAdultAgedAlaskaBayes TheoremFemaleHumansLiver CirrhosisLongitudinal StudiesMalealpha-Fetoproteinsparametrical empirical Bayesscreeningsustained virological response

Identifiers

PMID40408282
PMCPMC12106215

What OpenQuestion holds

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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.