Evidence map›Paper›PMID 27047768›Full record

ArticleJournal of clinical and translational hepatology2016

Routine Laboratory Blood Tests May Diagnose Significant Fibrosis in Liver Transplant Recipients with Chronic Hepatitis C: A 10 Year Experience.

Victoria Sheen, Heajung Nguyen, Melissa Jimenez, Vatche Agopian, Sitaram Vangala, David Elashoff, Sammy Saab

Open access · diamondAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of clinical and translational hepatology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 44% of its field
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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

7 authors at 1 institution in 1 country.

Victoria SheenDepartments of Medicine, University of California at Los Angeles, Los Angeles, California, USA.
Heajung NguyenDepartments of Medicine, University of California at Los Angeles, Los Angeles, California, USA.
Melissa JimenezDepartments of Surgery, University of California at Los Angeles, Los Angeles, California, USA.
Vatche AgopianDepartments of Surgery, University of California at Los Angeles, Los Angeles, California, USA.
Sitaram VangalaDepartments of Medicine, University of California at Los Angeles, Los Angeles, California, USA.
David ElashoffDepartments of Medicine, University of California at Los Angeles, Los Angeles, California, USA.
Sammy SaabDepartments of Medicine, University of California at Los Angeles, Los Angeles, California, USA; Departments of Surgery, University of California at Los Angeles, Los Angeles, California, USA.
University of California, Los Angeles · US

Funding

UCLA Clinical Translational Science InstituteUL1TR001881 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ARLEEN F. BROWN, ARASH NAEIM · 2016 to 2026
$118.1M
UCLA Clinical and Translational Science InstituteUL1TR000124 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DUBINETT, STEVEN M. · 2012 to 2015
$57.0M
NCATS NIH HHS UL1 TR000124NCATS NIH HHS UL1 TR001881
6 · The paper itself

Abstract

BACKGROUND AND

aimsThe aims of our study were to determine whether routine blood tests, the aspartate aminotransferase (AST) to Platelet Ratio Index (APRI) and Fibrosis 4 (Fib-4) scores, were associated with advanced fibrosis and to create a novel model in liver transplant recipients with chronic hepatitis C virus (HCV).

methodsWe performed a cross sectional study of patients at The University of California at Los Angeles (UCLA) Medical Center who underwent liver transplantation for HCV. We used linear mixed effects models to analyze association between fibrosis severity and individual biochemical markers and mixed effects logistic regression to construct diagnostic models for advanced fibrosis (METAVIR F3-4). Cross-validation was used to estimate a receiving operator characteristic (ROC) curve for the prediction models and to estimate the area under the curve (AUC).

resultsThe mean (± standard deviation [SD]) age of our cohort was 55 (±7.7) years, and almost three quarter were male. The mean (±SD) time from transplant to liver biopsy was 19.9 (±17.1) months. The mean (±SD) APRI and Fib-4 scores were 3 (±12) and 7 (±14), respectively. Increased fibrosis was associated with lower platelet count and alanine aminotransferase (ALT) values and higher total bilirubin and Fib-4 scores. We developed a model that takes into account age, gender, platelet count, ALT, and total bilirubin, and this model outperformed APRI and Fib-4 with an AUC of 0.68 (p < 0.001).

conclusionsOur novel prediction model diagnosed the presence of advanced fibrosis more reliably than APRI and Fib-4 scores. This noninvasive calculation may be used clinically to identify liver transplant recipients with HCV with significant liver damage.

Indexed as

Hepatic fibrosisHepatitis CLiver transplant

Identifiers

PMID27047768
PMCPMC4807139
OpenAlexW2321759021

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.