Evidence map›Paper›PMID 28815223›Full record

ReviewTranslational gastroenterology and hepatology2017

Hepatocellular carcinoma: when is liver transplantation oncologically futile?

André Viveiros, Heinz Zoller, Armin Finkenstedt

Abstract readReview
In one paragraph

Review in Translational gastroenterology and hepatology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Osteopontin and Transplantation: Where Are We Now?Archivum immunologiae et therapiae experimentalis · 2021
    Review
  6. Review
  7. Relationship between Insurance Type at Diagnosis and Hepatocellular Carcinoma Survival.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2020
    Article
  8. Therapeutic advances in gastroenterology · 2019
    Review
  9. Article
  10. [Analysis of risk factors of tumor recurrence after liver transplantation for HBV-related hepatocellular carcinoma patients].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2018
    Article
  11. Article
  12. Review
  13. 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.

André ViveirosDepartment of Medicine I, Medical University Innsbruck, Innsbruck, Austria.
Heinz ZollerDepartment of Medicine I, Medical University Innsbruck, Innsbruck, Austria.
Armin FinkenstedtDepartment of Medicine I, University Hospital of Innsbruck, Innsbruck, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Selection criteria of patients with hepatocellular carcinoma (HCC) for liver transplantation (LT) have been progressively expanded since the introduction of the Milan criteria. Transplanting patients with unfavourable tumor characteristics increases the risk of tumor recurrence and impacts post-transplant survival. Although tumor number and size are the basis of widely accepted selection criteria and correlate with tumor grading and microvascular invasion, stronger predictors of tumor recurrence have been recently identified. These surrogates of aggressive tumor biology include non-response to pre-transplant treatment, rapid recurrence within the first months after treatment, increased alpha-fetoprotein (AFP) concentrations,

Indexed as

Hepatocellular carcinoma (HCC)liver resectionliver transplantation (LT)locoregional therapyMilan criteria

Identifiers

PMID28815223
PMCPMC5539399

What OpenQuestion holds

Textmetadata
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.