Evidence map›Paper›PMID 40248345›Full record

ArticleJournal of clinical and experimental hepatology

Validation of Two Prognostic Gene Scores in Patients Undergoing Liver Resection for Hepatocellular Carcinoma.

Stinna D Schnabl, Jeanett Klubien, Colm J O'Rourke, Sophie Bull Nordkild, Jan-Michael Kugler, Susanne Dam Nielsen, Jesper B Andersen, Hans-Christian Pommergaard

Abstract read
In one paragraph

Article in Journal of clinical and experimental hepatology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

8 authors.

Stinna D SchnablDepartment of Surgery and Transplantation, Copenhagen University Hospital, Rigshospitalet, Denmark.
Jeanett KlubienDepartment of Surgery and Transplantation, Copenhagen University Hospital, Rigshospitalet, Denmark.
Colm J O'RourkeBiotech Research and Innovation Centre (BRIC), Department of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Sophie Bull NordkildDepartment of Surgery and Transplantation, Copenhagen University Hospital, Rigshospitalet, Denmark.
Jan-Michael KuglerInstitute for Molecular and Cellular Medicine, University of Copenhagen, Panum Institute, Copenhagen, Denmark.
Susanne Dam NielsenDepartment of Surgery and Transplantation, Copenhagen University Hospital, Rigshospitalet, Denmark.
Jesper B AndersenBiotech Research and Innovation Centre (BRIC), Department of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Hans-Christian PommergaardDepartment of Surgery and Transplantation, Copenhagen University Hospital, Rigshospitalet, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background/Aims: Several prognostic gene signatures have been proposed as predictors of the prognosis of hepatocellular carcinoma (HCC), yet none are implemented in the clinical setting. We aimed to validate two gene scores previously derived from European cohorts. Methods: The patients who underwent liver resection for HCC at Copenhagen University Hospital, Rigshospitalet from 2014 to 2018 were included. RNA sequencing determined the expression of genes in the ' Results: Among 51 patients (88% male), 59% had no underlying liver disease and 25% had cirrhosis. No individual genes were significantly associated with overall survival in the Danish cohort. In the TCGA-LIHC cohort, Conclusion: Few individual genes significantly predicted survival in the larger cohorts, and none in the Danish cohort. However, the clinical implication of this needs further investigation.

Indexed as

biomarkergene signatureliver cancerliver resectionprognosis

Identifiers

PMID40248345
PMCPMC12002650

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Registered trials

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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.