Evidence map›Paper›PMID 25606377›Full record

ArticleMeta gene2013

Significance of the use of the ViennaLab "Cardiovascular Disease panel" (CVD) Assay as a reflex test for the "Factor V/II/MTHFR Assay".

Rouba Hoteit, Fatmeh Abbas, Ahmad Antar, Rabab Abdel Khalek, Dina Shammaa, Rami Mahfouz

Open access · hybridAbstract read
In one paragraph

Article in Meta gene, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact, top 86% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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

6 authors at 1 institution in 1 country.

Rouba HoteitDepartment of Pathology & Laboratory Medicine, AUBMC, Lebanon.
Fatmeh AbbasDepartment of Pathology & Laboratory Medicine, AUBMC, Lebanon.
Ahmad AntarDepartment of Internal Medicine, AUBMC, Lebanon.
Rabab Abdel KhalekDepartment of Pathology & Laboratory Medicine, AUBMC, Lebanon.
Dina ShammaaDepartment of Pathology & Laboratory Medicine, AUBMC, Lebanon.
Rami MahfouzDepartment of Pathology & Laboratory Medicine, AUBMC, Lebanon.
American University of Beirut Medical Center · LB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionTrends toward identifying risk factors of thrombotic complications had become essential as an attempt to prevent and decrease the incidence of the complications. Thrombosis has been associated with predisposing factors like mutations in FV, PTH, MTHFR and other genes.

aimEvaluate whether the CVD StripAssay has an added value in the screening for more thrombophilia risk factors, which may predispose for the development of cardiovascular diseases and other thrombotic clinical conditions.

methodsWe compared the results for 94 patients who were previously tested for Factor V, Factor II and MTHFR gene mutations using the ViennaLab FV-PTH-MTHFR StripAssay, and for whom additional testing for the Cardiovascular Disease panel (CVD StripAssay, ViennaLab) was requested.

resultsUsing the CVD StripAssay, 66% of patients who had no mutations when tested using the FV-PTH-MTHFR StripAssay or carried a mutation for MTHFR, were found to have additional genes' SNPs or mutations that are highly associated with a risk of thrombosis as per the available international literature.

conclusionThis observation is of extreme importance in clinical practice for the introduction of the extended CVD panel into routine molecular diagnostic test menus and highlights the importance of genetic analysis of the implicated genes in the management of patients with a thrombotic episode presentation.

Indexed as

CVDFVMTHFRPTHStripAssayThrombophilia

Identifiers

PMID25606377
PMCPMC4205028
OpenAlexW2092976389

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.