Evidence map›Paper›PMID 26566003›Full record

ArticleCytometry. Part B, Clinical cytometry2017

Vascular Health Profile predicts cardiovascular outcomes in patients with diabetes.

Wade T Rogers, Lifeng Zhang, Scott Welden, Benjamin Krieger, Michael Rickels, Jonni S Moore, Emile R Mohler

Open access · bronzeAbstract read
In one paragraph

Article in Cytometry. Part B, Clinical cytometry, 2017. 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
0.4field-weighted citation impact, top 31% 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.

Wade T RogersDepartment of Pathology and Laboratory Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania.
Lifeng ZhangSection of Vascular Medicine, Division of Cardiovascular Disease, Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania.
Scott WeldenSection of Vascular Medicine, Division of Cardiovascular Disease, Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania.
Benjamin KriegerSection of Vascular Medicine, Division of Cardiovascular Disease, Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania.
Michael RickelsDivision of Endocrinology, Diabetes and Metabolism, Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania.
Jonni S MooreDepartment of Pathology and Laboratory Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania.
Emile R MohlerSection of Vascular Medicine, Division of Cardiovascular Disease, Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania.
University of Pennsylvania · US

Funding

UNIVERSITY OF PENNSYLVANIA CAN CTR SUPPORT GRANTP30CA016520 · NCI · UNIVERSITY OF PENNSYLVANIA · PI SHELLEY L BERGER · 1985 to 2026
$222.3M
INSTITUTIONAL CLINICAL AND TRANSLATIONAL SCIENCE AWARDUL1RR024134 · NCRR · UNIVERSITY OF PENNSYLVANIA · PI FITZGERALD, GARRET A · 2006 to 2011
$70.4M
Research career training in vascular medicineK12HL083772 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI MOHLER, EMILE R. · 2007 to 2012
$3.1M
Validation of a Vascular Health Profile for Cardiovascular DiseaseRC1HL099528 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI MOHLER, EMILE R. · 2009 to 2010
$933k
NCI NIH HHS P30 CA016520NCRR NIH HHS UL1 RR024134NHLBI NIH HHS K12 HL083772NHLBI NIH HHS RC1 HL099528
6 · The paper itself

Abstract

backgroundWe previously reported the development of a novel high dimensional cytomic assay, the Vascular Health Profile (VHP) based on measurements of angiogenic circulating hematopoietic stem and progenitor cells (CHSPC

methodsThe original data were generated as previously described by measuring a broad panel of progenitor cells and EVs and profiled using cytometric fingerprinting. Subjects were classified into groups according to the occurrence of adjudicated CV events including myocardial infarction, stroke, major adverse cardiovascular events, revascularization, and irregular rhythm. Cross-validated Linear Discriminate Analysis (LDA) models were constructed and used to predict the occurrence of events, and were evaluated for predictive accuracy (AUC, area under the curve) using receiver operating characteristic (ROC) analysis.

resultsOver the period of this analysis, follow-up data was obtained on 87 subjects, with 32 events occurring overall, and only in the diabetic group. In all cases, the VHP added significant predictive power, in the form of ROC analysis, for all evaluated outcomes with the exception of irregular rhythm.

conclusionsThe VHP, a relatively simple blood test, can provide sensitive and clinically relevant information on the vascular status of a patient that may be useful for a variety of applications including drug development, clinical risk assessment, and companion diagnostics. © 2015 International Clinical Cytometry Society.

Indexed as

AgedArrhythmias, CardiacAtherosclerosisDiabetes Mellitus, Type 2Extracellular VesiclesFemaleHumansMaleMetabolomeMiddle AgedMyocardial InfarctionMyocardial RevascularizationPredictive Value of TestsPrognosisProspective StudiesROC Curveatherosclerosisdiabetes mellitusextracellular vesiclemicroparticlemyocardial infarctionprogenitor cellrevascularizationstroke

Identifiers

PMID26566003
PMCPMC4866910
OpenAlexW2172399510

What OpenQuestion holds

Textmetadata
LicenceTDM
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.