Evidence mapPaperPMID 29329538Full record

Trial reportBMC medical genomics2018

Peripheral blood gene expression signatures which reflect smoking and aspirin exposure are associated with cardiovascular events.

James A Wingrove, Karen Fitch, Brian Rhees, Steven Rosenberg, Deepak Voora

Open access · goldAbstract readClinical TrialMulticenter Study
In one paragraph

Trial report in BMC medical genomics, 2018. 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
0.3field-weighted citation impact, top 38% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Review
  3. 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

5 authors at 2 institutions in 2 countries.

James A WingroveCardioDx, Inc, 600 Saginaw Dr., Redwood City, CA, 94063, USA. jwingrove@cardiodx.com.
Karen FitchCardioDx, Inc, 600 Saginaw Dr., Redwood City, CA, 94063, USA.
Brian RheesCardioDx, Inc, 600 Saginaw Dr., Redwood City, CA, 94063, USA.
Steven RosenbergCardioDx, Inc, 600 Saginaw Dr., Redwood City, CA, 94063, USA.
Deepak VooraCenter for Applied Genomics & Precision Medicine, Department of Medicine, Duke University, 101 Science Drive, 2187 CIEMAS, Durham, NC, 27708, UK. Deepak.voora@duke.edu.
CardioDx (United States) · USDuke University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCardiovascular disease and its sequelae are major causes of global mortality, and better methods are needed to identify patients at risk for future cardiovascular events. Gene expression analysis can inform on the molecular underpinnings of risk factors for cardiovascular events. Smoking and aspirin have known opposing effects on platelet reactivity and MACE, however their effects on each other and on MACE are not well described.

methodsWe measured peripheral blood gene expression levels of ITGA2B, which is upregulated by aspirin and correlates with platelet reactivity on aspirin, and a 5 gene validated smoking gene expression score (sGES) where higher expression correlates with smoking status, in participants from the previously reported PREDICT trial (NCT 00500617). The primary outcome was a composite of death, myocardial infarction, and stroke/TIA (MACE). We tested whether selected genes were associated with MACE risk using logistic regression.

resultsGene expression levels were determined in 1581 subjects (50.5% female, mean age 60.66 +/-11.46, 18% self-reported smokers); 3.5% of subjects experienced MACE over 12 months follow-up. Elevated sGES and ITGA2B expression were each associated with MACE (odds ratios [OR] =1.16 [95% CI 1.10-1.31] and 1.42 [95% CI 1.00-1.97], respectively; p < 0.05). ITGA2B expression was inversely associated with self-reported smoking status and the sGES (p < 0.001). A logistic regression model combining sGES and ITGA2B showed better performance (AIC = 474.9) in classifying MACE subjects than either alone (AIC = 479.1, 478.2 respectively).

conclusionGene expression levels associated with smoking and aspirin are independently predictive of an increased risk of cardiovascular events.

Indexed as

AgedAspirinCardiovascular DiseasesFemaleHumansMaleMiddle AgedPlatelet AggregationSmokingTranscriptomeAspirinAspirin exposureCardiovascular eventsGene expressionSmoking

Identifiers

PMID29329538
PMCPMC5767057
OpenAlexW2782742149

What Socratic holds

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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 Socratic graph.