Evidence map›Paper›PMID 33918125›Full record

ReviewCancers2021

Overview of Prognostic Systems for Hepatocellular Carcinoma and ITA.LI.CA External Validation of MESH and CNLC Classifications.

Alessandro Vitale, Fabio Farinati, Michele Finotti, Chiara Di Renzo, Giuseppina Brancaccio, Fabio Piscaglia, Giuseppe Cabibbo, Eugenio Caturelli, Gabriele Missale, Fabio Marra and 6 more

Abstract readReview
In one paragraph

Review in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Review
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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

16 authors.

Alessandro VitaleDepartment of Surgery, Oncology and Gastroenterology, University of Padua, 35121 Padua, Italy.
Fabio FarinatiDepartment of Surgery, Oncology and Gastroenterology, University of Padua, 35121 Padua, Italy.
Michele FinottiDepartment of Surgery, Oncology and Gastroenterology, University of Padua, 35121 Padua, Italy.
Chiara Di RenzoDepartment of Surgery, Oncology and Gastroenterology, University of Padua, 35121 Padua, Italy.
Giuseppina BrancaccioInfectious Diseases Unit, Department of Internal Medicine, Padua University Hospital, 35123 Padua, Italy.
Fabio PiscagliaDivision of Internal Medicine, Hepatobiliary and Immunoallergic Diseases, IRCCS Azienda Ospedaliero-Universitaria di Bologna, 40138 Bologna, Italy.ORCID 0000-0001-8264-1845
Giuseppe CabibboDepartment of Health Promotion, Mother & Child Care, Internal Medicine & Medical Specialties, PROMISE, Gastroenterology & Hepatology Unit, University of Palermo, 90127 Palermo, Italy.
Eugenio CaturelliGastroenterology Unit, Belcolle Hospital, 01100 Viterbo, Italy.
Gabriele MissaleInfectious Diseases and Hepatology Unit, Azienda Ospedaliero-Universitaria of Parma, 43126 Parma, Italy.
Fabio MarraInternal Medicine and Hepatology Unit, Department of Experimental and Clinical Medicine, University of Firenze, 50139 Firenze, Italy.ORCID 0000-0001-8629-0878
Rodolfo SaccoGastroenterology and Digestive Endoscopy Unit, Foggia University Hospital, 71122 Foggia, Italy.ORCID 0000-0002-9887-7315
Edoardo G GianniniGastroenterology Unit, Department of Internal Medicine, University of Genoa, IRCCS Ospedale Policlinico San Martino, 16132 Genoa, Italy.ORCID 0000-0001-8526-837X
Franco TrevisaniDivision of Semeiotics, IRCCS Azienda Ospedaliero-Universitaria di Bologna, 40138 Bologna, Italy.ORCID 0000-0002-6393-6995
Umberto CilloDepartment of Surgery, Oncology and Gastroenterology, University of Padua, 35121 Padua, Italy.
Associazione Italiana Per Lo Studio Del Fegato Aisf Hcc Special Interest GroupHCC Special Interest Group, Associazione Italiana per lo Studio del Fegato (AISF), 00199 Roma, Italy.
Italian Liver Cancer Ita Li Ca Study GroupDivision of Semeiotics, IRCCS Azienda Ospedaliero-Universitaria di Bologna, 40138 Bologna, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prognostic assessment in patients with HCC remains an extremely difficult clinical task due to the complexity of this cancer where tumour characteristics interact with degree of liver dysfunction, patient general health status, and a large span of available treatment options. Several prognostic systems have been proposed in the last three decades, both from the Asian and European/North American countries. Prognostic scores, such as the CLIP score and the recent MESH score, have been generated on a solid statistical basis from real life population data, while staging systems, such as the BCLC scheme and the recent CNLC classification, have been created by experts according to recent HCC prognostic evidences from the literature. A third category includes combined prognostic systems that can be used both as prognostic scores and staging systems. A recent example is the ITA.LI.CA prognostic system including either a prognostic score and a simplified staging system. This review focuses first on an overview of the main prognostic systems for HCC classified according to the above three categories, and, second, on a comprehensive description of the methodology required for a correct comparison between different systems in terms of prognostic performance. In this second section the main studies in the literature comparing different prognostic systems are described in detail. Lastly, a formal comparison between the last prognostic systems proposed for each of the above three categories is performed using a large Italian database including 6882 HCC patients in order to concretely apply the comparison rules previously described.

Indexed as

discrimination abilityhepatocellular carcinomahomogeneitymonotonicity of gradientsprognostic performanceprognostic system

Identifiers

PMID33918125
PMCPMC8037197

What OpenQuestion holds

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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 OpenQuestion graph.