Evidence map›Paper›PMID 39653023›Full record

ArticleOncology2025

Characteristics of HCC Patients with Portal Vein Thrombosis: Albumin and Survival.

Brian Carr, Rossella Donghia, Sezai Yilmaz

Abstract read
In one paragraph

Article in Oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Brian CarrLiver Transplant Institute, Inonu University Faculty of Medicine, Malatya, Turkey.
Rossella DonghiaNational Institute of Gastroenterology, IRCCS "Saverio de Bellis", Bari, Italy.
Sezai YilmazLiver Transplant Institute, Inonu University Faculty of Medicine, Malatya, 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

introductionPresence of macroscopic portal vein thrombosis (PVT) in patients with hepatocellular carcinoma (HCC) has been found to be a major poor prognosis characteristic.

aimsThe aim of the study was to examine patients with PVT for their clinical characteristics and factors related to both PVT and survival.

methodsA large HCC database containing 1,094 patients with PVT and 2,513 patients without PVT was examined. Patients had routine baseline serum liver parameters and alpha-fetoprotein (AFP) levels measured, as well as radiological assessment of maximum tumor diameter (MTD), tumor number, presence of macroscopic PVT, plus survival.

resultsThe percent of patients with PVT increased with increase in both MTD and serum AFP levels and liver parameter levels were worse in patients with PVT than without it. A logistic regression model showed that the combination of MTD >5 cm plus AFP >100 IU/mL plus albumin <3.5 g/dL had an odds ratio of 10.988 for the presence of PVT. Normal serum albumin levels significantly reduced the hazard ratio for death in a Cox proportional hazard model and were associated with decreased liver failure.

conclusionLogistic regression showed the significance of MTD, AFP, and albumin in the presence of PVT, and the Cox model highlighted the importance of albumin levels in decreasing death.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsPortal VeinSerum AlbuminVenous ThrombosisAdultAgedalpha-FetoproteinsFemaleHumansMaleMiddle AgedPrognosisProportional Hazards Modelsalpha-FetoproteinsSerum AlbuminAlpha-fetoproteinHepatocellular carcinomaMultifocalityPlatelet-to-lymphocyte ratioPortal vein thrombosisSurvival

Identifiers

PMID39653023
PMCPMC12146428

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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.