Evidence map›Paper›PMID 32492896›Full record

ReviewCells2020

Biomarkers in Hepatocellular Carcinoma: Diagnosis, Prognosis and Treatment Response Assessment.

Federico Piñero, Melisa Dirchwolf, Mário G Pessôa

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Cells, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 320 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
320citing papers in PubMed, 6 pooled it
–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

320 citing papers in PubMed, 6 syntheses or guidelines pooled it.

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  9. Bioimpedance Analysis to Predict Clinical Outcomes of Liver Cirrhosis in a Prospective Cohort Study.JGH open : an open access journal of gastroenterology and hepatology · 2026
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260 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

3 authors.

Federico PiñeroHepatology and Liver Transplant Unit, Hospital Universitario Austral, School of Medicine, Austral University, Buenos Aires B1629AHJ, Argentina.ORCID 0000-0002-9528-2279
Melisa DirchwolfLiver Unit, Hospital Privado de Rosario, Rosario 2000, Santa Fe, Argentina.
Mário G PessôaDivision of Gastroenterology and Hepatology, University of São Paulo School of Medicine, São Paulo 05403-000, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) is one of the main cancer-related causes of death worldwide. Thus, there is a constant search for improvement in screening, diagnosis, and treatment strategies to improve the prognosis of this malignancy. The identification of useful biomarkers for surveillance and early HCC diagnosis is still deficient, with available serum biomarkers showing low sensitivity and heterogeneous specificity despite different cut-off points, even when assessed longitudinally, or with a combination of serum biomarkers. In contrast, HCC biomarkers used for prognostic (when associated with clinical outcomes) or predictive purposes (when associated with treatment response) may have an increased clinical role in the near future. Furthermore, some serum biomarkers are already implicated as a treatment selection tool, whether to provide access to certain therapies or to assess clinical benefit after treatment. In the present review we will discuss the clinical utility and foreseen future of HCC biomarkers implicated in surveillance, diagnosis, prognosis, and post-treatment assessment.

Indexed as

AnimalsBiomarkers, TumorCarcinoma, HepatocellularGenomicsHumansLiver NeoplasmsNeoplasm StagingPrognosisTreatment OutcomeBiomarkers, Tumorbiologicalliver cancermarkers

Identifiers

PMID32492896
PMCPMC7349517

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.