Evidence map›Paper›PMID 37621527›Full record

ArticleClinical practice (London, England)2022

Identification of 2 large size HCC phenotypes, with and without associated inflammation.

Brian I Carr, Harika Gozukara Bag, Hikmet Akkiz, Ümit Karaoğullarından, Volkan Ince, Burak Isik, Sezai Yilmaz

Abstract read
In one paragraph

Article in Clinical practice (London, England), 2022. 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. Article
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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

7 authors.

Brian I CarrLiver Transplant Institute, Inonu University Faculty of Medicine, Turkey.
Harika Gozukara BagDepartment of Biostatistics, Inonu University Faculty of Medicine, Turkey.
Hikmet AkkizDepartment of Gastroenterology and Hepatology, Cukurova University, Turkey.
Ümit KaraoğullarındanDepartment of Gastroenterology and Hepatology, Cukurova University, Turkey.
Volkan InceLiver Transplant Institute, Inonu University Faculty of Medicine, Turkey.
Burak IsikLiver Transplant Institute, Inonu University Faculty of Medicine, Turkey.
Sezai YilmazLiver Transplant Institute, Inonu University Faculty of Medicine, Turkey.

Funding

K VITAMINS--A NEW CLASS OF LIVER CELL GROWTH INHIBITORSR01CA082723 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI CARR, BRIAN I · 2000 to 2008
$2.3M
NCI NIH HHS R01 CA082723
6 · The paper itself

Abstract

Background: Large HCCs can often be associated with low levels of cirrhosis. However, inflammation is also regarded as a driver of HCC growth. Objectives: To compare patients with large >5 cm HCCs having high versus low serum inflammation parameters. Materials and methods: A Turkish patient HCC dataset with known survivals was retrospectively analyzed after dichotomization according to several clinical inflammation markers. Results: Amongst several parameters examined, only AST levels were significantly associated with elevated AFP levels and increased percent PVT and tumor multifocality. The dichotomization of the cohort according to high or low AST levels resulted in 2 subcohorts with a 5-fold difference in median survival. The 2 AST-dichotomised cohorts comprised patients with similar large-size HCCs, but which were significantly different with respect to serum AFP levels, percent PVT, and percent tumor multifocality. Conclusions: Two large-sized HCC phenotypes were identified. One had more aggressive HCC characteristics, higher inflammatory indices, and worse survival. The other had the opposite. Despite inflammation being important for the growth of some large tumors, others of a similar size likely have different growth mechanisms.

Indexed as

HCCinflammationlargephenotype

Identifiers

PMID37621527
PMCPMC10449386

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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.