Evidence map›Paper›PMID 32623383›Full record

ArticleCancer biomarkers : section A of Disease markers2020

Modeling the time-related fluctuations of AFP and PIVKA-II serum levels in patients with cirrhosis undergoing surveillance for hepatocellular carcinoma.

Gabriele Ricco, Chiara Cosma, Giorgio Bedogni, Alessandra Biasiolo, Maria Guarino, Patrizia Pontisso, Filomena Morisco, Filippo Oliveri, Daniela Cavallone, Ferruccio Bonino and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in Cancer biomarkers : section A of Disease markers, 2020. 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
2.8field-weighted citation impact, top 8% 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

12 citing papers in PubMed, 31 citations in OpenAlex.

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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

12 authors at 5 institutions in 1 country.

Gabriele RiccoHepatology Unit and Laboratory of Molecular Genetics and Pathology of Hepatitis Viruses, Reference Center of the Tuscany Region for Chronic Liver Disease and Cancer, University Hospital of Pisa, Pisa, Italy.
Chiara CosmaDepartment of Laboratory Medicine, University-Hospital of Padua, Padua, Italy.
Giorgio BedogniItalian Liver Foundation (Fondazione Italiana Fegato, FIF), Basovizza, Trieste, Italy.
Alessandra BiasioloDepartment of Medicine, University of Padua, Padua, Italy.
Maria GuarinoGastroenterology Unit, Department of Clinical Medicine and Surgery, University of Naples "Federico II", Naples, Italy.
Patrizia PontissoDepartment of Medicine, University of Padua, Padua, Italy.
Filomena MoriscoGastroenterology Unit, Department of Clinical Medicine and Surgery, University of Naples "Federico II", Naples, Italy.
Filippo OliveriHepatology Unit and Laboratory of Molecular Genetics and Pathology of Hepatitis Viruses, Reference Center of the Tuscany Region for Chronic Liver Disease and Cancer, University Hospital of Pisa, Pisa, Italy.
Daniela CavalloneHepatology Unit and Laboratory of Molecular Genetics and Pathology of Hepatitis Viruses, Reference Center of the Tuscany Region for Chronic Liver Disease and Cancer, University Hospital of Pisa, Pisa, Italy.
Ferruccio BoninoItalian Liver Foundation (Fondazione Italiana Fegato, FIF), Basovizza, Trieste, Italy.
Mario PlebaniDepartment of Laboratory Medicine, University-Hospital of Padua, Padua, Italy.
Maurizia Rossana BrunettoHepatology Unit and Laboratory of Molecular Genetics and Pathology of Hepatitis Viruses, Reference Center of the Tuscany Region for Chronic Liver Disease and Cancer, University Hospital of Pisa, Pisa, Italy.
University of Padua · ITUniversity of Pisa · ITUniversity of Naples Federico II · ITFondazione Italiana Fegato · ITUniversity of Siena · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe time-related variability of HCC biomarkers has not been investigated so far.

objectiveTo assess the changes of alpha-fetoprotein (AFP) and protein induced by vitamin-K absence/antagonist-II (PIVKA-II) in patients with HCC (HCC+) as compared to patients without HCC (HCC-).

methodsAFP and PIVKA-II were measured by a single laboratory using an automated chemiluminescent-enzyme-immunoassay (Fujirebio Inc., Tokyo, Japan) in 1163 sera of 418 cirrhotics (31.1% HBV, 58.6% HCV, 10.3% non-viral etiology) undergoing ultrasound HCC surveillance. The mean (range) number of effective time-points available for analysis was 2.8 (2.0 to 3.0); 124 patients with HCC were matched with 294 who remained HCC free for at least 12 months after the last specimen. AFP and PIVKA-II changes were estimated over time by means of a random-effect generalized least squares (RE-GLS) regression model under the missingness at random assumption.

resultsPatients with and without HCC had comparable chronic liver disease etiology and staging. AFP/PIVKA-II median (25th; 75th percentile) values at the latest time-point were 4.2 (2.6; 8.6) ng/mL/32 (25; 42) mAU/mL in HCC- and 8.4 (4.4; 32.1) ng/mL/66 (32; 192) mAU/mL in HCC+ (p< 0.001). Log10AFP and log10PIVKA-II time-changes differed in HCC+ and HCC- patients. In HCC+ patients, both log10AFP and log10PIVKA-II showed an increasing trend over time. In HCC- patients, log10PIVKA-II variations were minimal as compared to log10AFP variations. The percent increase of log10AFP at 6 months vs. baseline was 11% (95%CI 5 to 17%) and 5% (95%CI 1 to 8%) for log10PIVKA-II in HCC+vs. HCC- patients.

conclusionsThe present retrospective study of the biological variability of AFP and PIVKA-II suggests that their time-related changes may serve as potential predictors of HCC. This topic needs to be addressed by longitudinal studies.

Indexed as

Agedalpha-FetoproteinsBiological Variation, PopulationBiomarkersBiomarkers, TumorCarcinoma, HepatocellularDisease ProgressionFemaleHumansLiver CirrhosisLiver NeoplasmsMaleMiddle AgedPredictive Value of TestsPrognosisProtein PrecursorsacarboxyprothrombinAFP protein, humanalpha-FetoproteinsBiomarkersBiomarkers, TumorProtein PrecursorsProthrombinAFPbiomarkerscirrhosishepatocellular carcinomaPIVKA-IIsurveillance

Identifiers

PMID32623383
PMCPMC12662534
OpenAlexW3040496012

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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.