Evidence map›Paper›PMID 37938100›Full record

ArticleHepatology communications2023

Development and clinical validation of a novel algorithmic score (GAAD) for detecting HCC in prospective cohort studies.

Teerha Piratvisuth, Jinlin Hou, Tawesak Tanwandee, Thomas Berg, Arndt Vogel, Jörg Trojan, Enrico N De Toni, Masatoshi Kudo, Anja Eiblmaier, Hanns-Georg Klein and 5 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Hepatology communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06601231 (Addition of GAAD Score to Imaging Surveillance for Early Identification of Liver Cancer.), which is not on this map. Cited by 42 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 1 pooled it
10.2field-weighted citation impact, top 1% 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.

NCT06601231 recruitingnot on this mapstarted 2024, after this paper: background citation

Addition of GAAD Score to Imaging Surveillance for Early Identification of Liver Cancer.

TypeobservationalSponsorErasmus Medical CenterRan2024 to 2027Enrolled1,000ConditionsCancer, HepatocellularArmsGAAD score
3 · Its place in the literature

Who cites it

42 citing papers in PubMed, 1 synthesis or guideline pooled it, 50 citations in OpenAlex.

  1. Guideline
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  11. Psychosocial impact of false-positive surveillance for hepatocellular carcinoma: a qualitative study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Article
  12. Article
  13. [Expert consensus on the management process within medical institutions for patients with hepatitis B virus infection].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2026
    Article
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  20. Early screening for liver cancer must be performed.World journal of hepatology · 2025
    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 12 institutions in 8 countries.

Teerha PiratvisuthNKC Institute of Gastroenterology and Hepatology, Songklanagarind Hospital, Prince of Songkla University, Hat Yai, Thailand.ORCID 0000-0002-5249-9208
Jinlin HouInstitute of Hepatology, Nanfang Hospital, Southern Medical University, Guangzhou, China.ORCID 0000-0001-8230-8583
Tawesak TanwandeeDivision of Gastroenterology and Hepatology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.ORCID 0000-0001-7634-0843
Thomas BergDepartment of Medicine, Leipzig University Medical Center, Leipzig, Germany.ORCID 0000-0003-0003-6241
Arndt VogelDepartment of Gastroenterology, Hepatology and Endocrinology, Medical University of Hanover, Hannover, Germany.ORCID 0000-0003-0560-5538
Jörg TrojanGoethe University Frankfurt, University Hospital, Medical Clinic 1, Frankfurt, Germany.ORCID 0000-0003-4110-2647
Enrico N De ToniDepartment of Medicine II, University Hospital, Ludwig Maximilian University of Munich, Munich, Germany.ORCID 0000-0002-8101-8207
Masatoshi KudoDepartment of Gastroenterology and Hepatology Kindai University, Osaka, Japan.ORCID 0000-0002-4102-3474
Anja EiblmaierLaboratory Services, Microcoat Biotechnologie GmbH, Bernried, Germany.
Hanns-Georg KleinCenter of Human Genetics and Laboratory Diagnostics, Munich, Germany.
Johannes Kolja HegelStudies, Collaborations, and Innovation Management, Labor Berlin Charité Vivantes Services GmbH, Berlin, Germany.ORCID 0000-0003-4857-3820
Kairat MadinRoche Diagnostics GmbH, Penzberg, Germany.
Konstantin KroenigerRoche Diagnostics GmbH, Penzberg, Germany.
Ashish SharmaClinical Development & Medical Affairs, Roche Diagnostics International AG, Rotkreuz, Switzerland.ORCID 0000-0003-3610-0081
Henry L Y ChanFaculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China.ORCID 0000-0002-7790-1611
Roche Pharma AG (Germany) · DEChinese University of Hong Kong · HKGoethe University Frankfurt · DEHanoi Open University · VNKindai University · JPLeipzig University · DELudwig-Maximilians-Universität München · DEMedizinische Hochschule Hannover · DEPrince of Songkla University · THRoche (Switzerland) · CHSiriraj Hospital · THVivantes Klinikum · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlpha-fetoprotein (AFP) and des-gamma carboxyprothrombin (DCP), also known as protein induced by vitamin K absence-II (PIVKA-II [DCP]) are biomarkers for HCC with limited diagnostic value when used in isolation. The novel GAAD algorithm is an in vitro diagnostic combining PIVKA-II (DCP) and AFP measurements, age, and gender (biological sex) to generate a semi-quantitative result. We conducted prospective studies to develop, implement, and clinically validate the GAAD algorithm for differentiating HCC (early and all-stage) and benign chronic liver disease (CLD), across disease stages and etiologies.

methodsPatients aged ≥18 years with HCC or CLD were prospectively enrolled internationally into algorithm development [n = 1084; 309 HCC cases (40.7% early-stage) and 736 controls] and clinical validation studies [n = 877; 366 HCC cases (47.6% early-stage) and 303 controls]. Serum samples were analyzed on a cobas® e 601 analyzer. Performance was assessed using receiver operating characteristic curve analyses to calculate AUC.

resultsFor algorithm development, AUC for differentiation between early-stage HCC and CLD was 90.7%, 84.4%, and 77.2% for GAAD, AFP, and PIVKA-II, respectively. The sensitivity of GAAD for the detection of early-stage HCC was 71.8% with 90.0% specificity. Similar results were shown in the clinical validation study; AUC for differentiation between early-stage HCC and CLD was 91.4% with 70.1% sensitivity and 93.7% specificity. GAAD also showed strong specificity, with a lower rate of false positives regardless of disease stage, etiology, or region.

conclusionsThe GAAD algorithm significantly improves early-stage HCC detection for patients with CLD undergoing HCC surveillance. Further phase III and IV studies are warranted to assess the utility of incorporating the algorithm into clinical practice.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsAdolescentAdultAlgorithmsalpha-FetoproteinsHumansProspective Studiesalpha-Fetoproteins

Identifiers

PMID37938100
PMCPMC10635602
OpenAlexW4388489766

What OpenQuestion holds

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LicenceCC BY
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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.