Evidence map›Paper›PMID 28553624›Full record

ReviewJournal of hepatocellular carcinoma2017

Screening for hepatocellular carcinoma: patient selection and perspectives.

Waleed Fateen, Stephen D Ryder

Abstract readReview
In one paragraph

Review in Journal of hepatocellular carcinoma, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 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

21 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. A closer look at quality of life in the hepatocellular carcinoma literature.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2021
    Pooled it
  2. [Guideline for stratified screening and surveillance of primary liver cancer(2020 Edition)].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2021
    Guideline
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  14. Diagnostic Value of Different Phenotype Circulating Tumor Cells in Hepatocellular Carcinoma.Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract · 2019
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  19. A Scalable Machine Learning Approach for Inferring Probabilistic US-LI-RADS Categorization.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2018
    Article
  20. Review
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

2 authors.

Waleed FateenNIHR Biomedical Research Unit in Gastrointestinal and Liver Diseases, Nottingham University Hospitals NHS Trust, The University of Nottingham, Nottingham, UK.
Stephen D RyderNIHR Biomedical Research Unit in Gastrointestinal and Liver Diseases, Nottingham University Hospitals NHS Trust, The University of Nottingham, Nottingham, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) develops on the background of liver cirrhosis often from multiple, simultaneous factors. The diagnosis of a single small HCC comes with good prognosis and provides a potential for cure. In contrast, the diagnosis of multifocal, large HCC has high mortality and poor prognosis. Unfortunately, the majority of HCC is diagnosed at such late stages. A surveillance program endorsed by regional liver societies involves six-monthly ultrasound surveillance of at-risk patients. This had been in action for the last two decades. It has led to marked increase in the proportion of patients presenting with small unifocal nodules found on surveillance. The development of tools to enhance our ability in optimizing available surveillance is likely to improve the prognosis of patients with HCC. In this review, we discuss the difficulties in utilizing HCC surveillance and possible means of improvement.

Indexed as

hepatocellular carcinomarisk stratificationscreeningsurveillance

Identifiers

PMID28553624
PMCPMC5440035

What OpenQuestion holds

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LicenceCC BY-NC
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.