Evidence map›Paper›PMID 39319076›Full record

ReviewGastroenterology report2024

New perspectives in hepatocellular carcinoma surveillance after hepatitis C virus eradication.

Calvin Q Pan, Andrew J Park, James S Park

Abstract readReview
In one paragraph

Review in Gastroenterology report, 2024. 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
–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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Review
  6. Article
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.

Calvin Q PanCenter for Liver Diseases, Guangzhou Medical Research Institute of Infectious Diseases, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangdong, P.R. China.ORCID https://orcid.org/0000-0002-3723-6688
Andrew J ParkDivision of Hepatology, Department of Medicine, North Shore University Hospital and Donald Barbara Zucker School of Medicine at Hofstra/Northwell Health, Manhasset, NY, USA.
James S ParkDivision of Hepatology, Department of Medicine, North Shore University Hospital and Donald Barbara Zucker School of Medicine at Hofstra/Northwell Health, Manhasset, NY, USA.ORCID https://orcid.org/0000-0001-6248-4117

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Achieving a sustained virologic response (SVR) through direct-acting antivirals for hepatitis C virus (HCV) infection significantly reduces the long-term risk of hepatocellular carcinoma (HCC), particularly in patients with advanced fibrosis (F3) or cirrhosis (F4). However, despite this improvement, the risks associated with HCC and the optimal surveillance strategies for patients who have achieved SVR remain topics of debate. This controversy is compounded by challenges in reliably staging liver fibrosis non-invasively, especially at advanced fibrosis (F3), and the unclear cost-effectiveness, modality, frequency, and duration of HCC surveillance in individuals with SVR but without cirrhosis. These factors contribute to significant variations in surveillance guidelines recommended by different professional societies. Therefore, there is a pressing need for an optimal surveillance strategy that is both simplified and cost-effective to facilitate wider adoption by clinicians. This review article evaluates the existing data, addresses ongoing controversies, and aims to provide new perspectives on HCC surveillance strategies for patients who have achieved SVR from HCV.

Indexed as

advanced fibrosischronic HCV infectiondirect-acting antiviralshepatitis C virusliver cancer surveillancesustained virologic response

Identifiers

PMID39319076
PMCPMC11420110

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.