Evidence map›Paper›PMID 34618932›Full record

ArticleHepatology (Baltimore, Md.)2022

GALAD demonstrates high sensitivity for HCC surveillance in a cohort of patients with cirrhosis.

Amit G Singal, Nabihah Tayob, Anand Mehta, Jorge A Marrero, Hashem El-Serag, Qingchun Jin, Cristian Saenz de Viteri, Austin Fobar, Neehar D Parikh

Open access · bronzeAbstract read
In one paragraph

Article in Hepatology (Baltimore, Md.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 99 papers.

0numbers the graph read from it
0cells of the map it votes in
99citing papers in PubMed
17.5field-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.

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

99 citing papers in PubMed, 164 citations in OpenAlex.

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39 more citing papers are in PubMed but not listed here.

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

9 authors at 5 institutions in 1 country.

Amit G SingalDepartment of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, USA.ORCID 0000-0002-1172-3971
Nabihah TayobDepartment of Biostatistics, Dana Farber Cancer Center, Boston, Massachusetts, USA.
Anand MehtaDepartment of Internal Medicine, Medical University of South Carolina, Charleston, South Carolina, USA.
Jorge A MarreroDepartment of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Hashem El-SeragDepartment of Internal Medicine, Baylor College of Medicine, Houston, Texas, USA.
Qingchun JinDepartment of Biostatistics, Dana Farber Cancer Center, Boston, Massachusetts, USA.
Cristian Saenz de ViteriDepartment of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA.
Austin FobarDepartment of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA.
Neehar D ParikhDepartment of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA.ORCID 0000-0002-5874-9933
University of Michigan · USDana-Farber Cancer Institute · USThe University of Texas Southwestern Medical Center · USBaylor College of Medicine · USMedical University of South Carolina · US

Funding

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
Training Program in Gastrointestinal EpidemiologyT32DK062708 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Peter D.R. Higgins, Elliot Tapper · 2003 to 2026
$3.9M
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
NOVEL STRATEGIES TO IMPROVE LIVER CANCER SURVEILLANCE UPTAKE AND EARLY DETECTIONU01CA230669 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LOK, ANNA S.F., SU, GRACE L. · 2018 to 2022
$3.3M
Glycopathology of HCC: identification of the source cells of serum fucosylationU01CA226052 · NCI · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI DRAKE, RICHARD R., HOSHIDA, YUJIN · 2019 to 2023
$2.8M
Translation of a biomarker panel for the early detection of hepatocellular carcinomaR01CA237659 · NCI · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI MARRERO, JORGE A, MEHTA, ANAND S. · 2019 to 2023
$2.5M
Precision Screening for Hepatocellular Carcinoma in Patients with CirrhosisR01CA222900 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI SINGAL, AMIT · 2018 to 2023
$2.4M
Biomarker screening algorithms for the improved early detection of hepatocellular carcinomaR01CA230503 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI TAYOB, NABIHAH · 2019 to 2025
$1.6M
NCI NIH HHS R01 CA222900NCI NIH HHS R01 CA230503NCI NIH HHS R01 CA237659NCI NIH HHS U01 CA226052NCI NIH HHS U01 CA230669NCI NIH HHS U01 CA230694NCI NIH HHS U24 CA230144NIDDK NIH HHS T32 DK062708
6 · The paper itself

Abstract

BACKGROUND AND

aimsMost patients with HCC are diagnosed at a late stage, highlighting the need for more accurate surveillance tests. Although biomarkers for HCC early detection have promising data in Phase 2 case-control studies, evaluation in cohort studies is critical prior to adoption in practice. We leveraged a prospective cohort of patients with Child-Pugh A or B cirrhosis who were followed until incident HCC, liver transplantation, death, or loss to follow-up. We used a prospective specimen collection, retrospective, blinded evaluation design for biomarker evaluation of GALAD (gender × age × log alpha-fetoprotein [AFP] × des-gamma-carboxy prothrombin), longitudinal GALAD, and the HCC Early Detection Screening (HES) algorithm-compared to AFP-using patient-level sensitivity and screening-level specificity. APPROACH AND

resultsOf 397 patients with cirrhosis, 42 developed HCC (57.1% early stage) over a median of 2.0 years. Longitudinal GALAD had the highest c-statistic for HCC detection (0.85; 95% CI, 0.77-0.92) compared to single-time point GALAD (0.79; 95% CI, 0.71-0.87), AFP (0.77; 95% CI, 0.69-0.85), and HES (0.76; 95% CI, 0.67-0.83). When specificity was fixed at 90%, the sensitivity for HCC of single-time point and longitudinal GALAD was 54.8% and 66.7%, respectively, compared to 40.5% for AFP. Sensitivity for HCC detection was higher when restricted to patients with biomarker assessment within 6 months prior to HCC diagnosis, with the highest sensitivities observed for single-time point GALAD (72.0%) and longitudinal GALAD (64.0%), respectively. Sensitivity of single-time point and longitudinal GALAD for early-stage HCC was 53.8% and 69.2%, respectively.

conclusionGALAD demonstrated high sensitivity for HCC detection in a cohort of patients with cirrhosis. Validation of these results is warranted in large Phase 3 data sets.

Indexed as

Liver Cirrhosisalpha-FetoproteinsBiomarkersBiomarkers, TumorCarcinoma, HepatocellularEarly Detection of CancerFemaleHumansLiver NeoplasmsLongitudinal StudiesMaleMiddle AgedNeoplasm StagingPredictive Value of TestsProtein PrecursorsProthrombinacarboxyprothrombinalpha-FetoproteinsBiomarkersBiomarkers, TumorProtein PrecursorsProthrombin

Identifiers

PMID34618932
PMCPMC8844059
OpenAlexW3204744768

What OpenQuestion holds

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Read underepoch 390

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.