Evidence map›Paper›PMID 36671786›Full record

ArticleBiology2023

Identification of the Best Cut-Off Value of PIVKA-II for the Surveillance of Patients at Risk of Hepatocellular Carcinoma Development.

Gian Paolo Caviglia, Maria Lorena Abate, Giulia Troshina, Patrizia Carucci, Emanuela Rolle, Alessandra Risso, Michela Emma Burlone, Alice Albè, Martina Crevola, Emma Clara Musso and 9 more

Open access · goldAbstract read
In one paragraph

Article in Biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
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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

19 authors at 4 institutions in 2 countries.

Gian Paolo CavigliaDepartment of Medical Sciences, University of Turin, 10126 Torino, Italy.ORCID 0000-0002-0529-9481
Maria Lorena AbateDepartment of Medical Sciences, University of Turin, 10126 Torino, Italy.ORCID 0000-0002-7611-6099
Giulia TroshinaDepartment of Medical Sciences, University of Turin, 10126 Torino, Italy.
Patrizia CarucciGastroenterology U, Città della Salute e della Scienza-Molinette Hospital, 10126 Torino, Italy.
Emanuela RolleGastroenterology U, Città della Salute e della Scienza-Molinette Hospital, 10126 Torino, Italy.
Alessandra RissoGastroenterology U, Città della Salute e della Scienza-Molinette Hospital, 10126 Torino, Italy.
Michela Emma BurloneDepartment of Translational Medicine, Università del Piemonte Orientale, 28100 Novara, Italy.
Alice AlbèDepartment of Translational Medicine, Università del Piemonte Orientale, 28100 Novara, Italy.
Martina CrevolaDepartment of Translational Medicine, Università del Piemonte Orientale, 28100 Novara, Italy.
Emma Clara MussoDepartment of Medical Sciences, University of Turin, 10126 Torino, Italy.
Chiara RossoDepartment of Medical Sciences, University of Turin, 10126 Torino, Italy.ORCID 0000-0001-6518-7089
Angelo ArmandiDepartment of Medical Sciences, University of Turin, 10126 Torino, Italy.ORCID 0000-0002-7245-4445
Antonella OliveroDepartment of Medical Sciences, University of Turin, 10126 Torino, Italy.ORCID 0000-0003-0327-3875
Rosalba MinisiniDepartment of Translational Medicine, Università del Piemonte Orientale, 28100 Novara, Italy.ORCID 0000-0002-7548-9731
Giorgio Maria SaraccoDepartment of Medical Sciences, University of Turin, 10126 Torino, Italy.ORCID 0000-0001-5310-4143
Elisabetta BugianesiDepartment of Medical Sciences, University of Turin, 10126 Torino, Italy.ORCID 0000-0002-0502-4381
Mario PirisiDepartment of Translational Medicine, Università del Piemonte Orientale, 28100 Novara, Italy.
Alessia CiancioDepartment of Medical Sciences, University of Turin, 10126 Torino, Italy.ORCID 0000-0003-4188-0609
Silvia GaiaGastroenterology U, Città della Salute e della Scienza-Molinette Hospital, 10126 Torino, Italy.
Fondazione Ricerca Molinette · ITUniversity of Turin · ITUniversità degli Studi del Piemonte Orientale “Amedeo Avogadro” · ITJohannes Gutenberg University Mainz · DE

Funding

Ministry of Education, Universities and Research D15D18000410001
6 · The paper itself

Abstract

Patients with cirrhosis are at risk of hepatocellular carcinoma (HCC) development and, according to current guidelines, should undergo surveillance by ultrasound at six month intervals. Due to the known limitations of surveillance strategies based on ultrasonography, the use of tumor biomarkers, although debated, is common practice in many centers. The aim of the study was to identify the best cut-off value for one of such biomarkers, protein induced by vitamin K absence, or antagonist-II (PIVKA-II). We retrospectively enrolled 1187 patients with liver cirrhosis: 205 with a diagnosis of HCC (median age 67 years, 81.0% males) and 982 without tumor (median age 64 years, 56.2% males). During a median follow-up (FU) of 34.6 (11.4−43.7) months, 118 out of 982 (12.0%) patients developed HCC. Serum PIVKA-II was assessed by chemiluminescence immunoassay on the Lumipulse® G600 II platform (Fujirebio, Tokyo, Japan). In the overall cohort (n = 1187), PIVKA-II showed an area under the curve (AUC) of 0.802 for HCC detection. The best cut-off value that maximized sensitivity was 50 mAU/mL (sensitivity = 80%, specificity = 64%). In the 982 patients without HCC at baseline, PIVKA-II > 50 mAU/mL was associated with an increased risk of HCC development during the FU (HR = 1.74, 95% CI 1.21−2.51; p = 0.003)). In conclusion, the evaluation of serum PIVKA-II showed a good performance for HCC detection; a cut-off value > 50 mAU/mL could be suitable for the surveillance of patients who are at risk of developing HCC.

Indexed as

biomarkersHCCprotein induced by vitamin K absence or antagonist II

Identifiers

PMID36671786
PMCPMC9855902
OpenAlexW4313889251

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.