Evidence map›Paper›PMID 39897614›Full record

ArticleJHEP reports : innovation in hepatology2025

Comparative evaluation of multimarker algorithms for early-stage HCC detection in multicenter prospective studies.

Jinlin Hou, Thomas Berg, Arndt Vogel, Teerha Piratvisuth, Jörg Trojan, Enrico N De Toni, Masatoshi Kudo, Katarina Malinowsky, Peter Findeisen, Johannes Kolja Hegel and 5 more

Abstract read
In one paragraph

Article in JHEP reports : innovation in hepatology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. 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

15 authors.

Jinlin HouHepatology Unit and Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou China.
Thomas BergDivision of Hepatology, Department of Medicine II, University of Leipzig Medical Center, Leipzig, Germany.
Arndt VogelDepartment of Gastroenterology, Hepatology and Endocrinology, Medizinische Hochschule Hannover, Hannover, Germany (At the time of analysis).
Teerha PiratvisuthDivision of Gastroenterology and Hepatology Department of Medicine, Prince of Songkla University, Hat Yai, Thailand.
Jörg TrojanDepartment of Gastroenterology, Goethe Universitaet Frankfurt, Frankfurt, Germany.
Enrico N De ToniDepartment of Medicine II, University Hospital, Ludwig Maximilian University of Munich, Munich, Germany.
Masatoshi KudoDepartment of Gastroenterology and Hepatology, Kindai University, Osaka, Japan.
Katarina MalinowskyDepartment of Biomarker Services, Microcoat Biotechnologie GmbH, Bernried, Germany.
Peter FindeisenMVZ Labor Dr. Limbach & Kollegen, Heidelberg, Germany.
Johannes Kolja HegelDepartment of Studies, Collaboration and Innovation Management, Labor Berlin Charité Vivantes Services GmbH, Berlin, Germany.
Wenzel SchöningDepartment of Surgery, Universitätsmedizin Berlin, Chirurgische Klinik, Campus Charité Mitte and Campus Virchow-Klinikum, Berlin, Germany.
Kairat MadinGlobal Study Management, Roche Diagnostics GmbH, Penzberg, Germany.
Konstantin KroenigerClinical Algorithms & Biomarker Statistics, Roche Diagnostics GmbH, Penzberg, Germany.
Henry Lik-Yuen ChanDepartment of Internal Medicine, The Chinese University of Hong Kong, Hong Kong Special Administrative Region of China.
Ashish SharmaClinical Development & Medical Affairs, Roche Diagnostics International AG, Rotkreuz, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background & Aims: We compared the clinical performance of the novel GAAD (gender [biological sex], age, alpha-fetoprotein [AFP], des-gamma carboxyprothrombin [DCP]) and GALAD (gender [biological sex], age, AFP, Methods: An algorithm development study (STOP-HCC-ARP) and clinical validation study (STOP-HCC-MCE) were conducted, recruiting adult participants with HCC (confirmed by radiology or pathology) or CLD in an international, multicenter, case-control design. Serum biomarkers were measured using Elecsys assays (GAAD and GALAD [Cobas]) or μTASWAKO assays (GALAD [μTASWAKO]) while blinded to case/control status. Results: In STOP-HCC-ARP (algorithm development cohort), 1,006 patients {297 HCC (41.4% early-stage [Barcelona Clinic Liver Cancer {BCLC} 0/A) and 709 CLD} were included. Area under the curve (AUCs) for discriminating between early-stage HCC Conclusions: GAAD (Cobas) demonstrated good clinical performance, similar to GALAD (Cobas and μTASWAKO) algorithms, in differentiating HCC and CLD controls, across all disease stages, etiologies, and regions; therefore, AFP-L3 may have a negligible role in GALAD for HCC surveillance. Impact and implications: To improve the detection of early-stage hepatocellular carcinoma (HCC) from benign chronic liver disease (CLD), algorithms combining demographic characteristics and serum biomarkers, such as GAAD and GALAD, have been developed. GAAD combines gender (biological sex), age, alpha-fetoprotein (AFP), des-gamma carboxy-prothrombin (DCP); GALAD combines the same characteristics and biomarkers as GAAD with the addition of

Indexed as

AlgorithmGAADGALADHepatocellular carcinomaSurveillance

Identifiers

PMID39897614
PMCPMC11782856

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.