Evidence map›Paper›PMID 28666990›Full record

Trial reportJournal of the American Heart Association2017

Gene Expression Profiles for the Identification of Prevalent Atrial Fibrillation.

Sébastien Thériault, Richard Whitlock, Kripa Raman, Jessica Vincent, Salim Yusuf, Guillaume Paré

Registry-linked trialAbstract readMulticenter StudyRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in Journal of the American Heart Association, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00427388 (Phase IV Study of Perioperative Steroid's Effects on Death or MI in High-Risk Patients Undergoing Cardiac Surgery Requiring Cardiopulmonary Bypass), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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.

NCT00427388 phase4unknown statusnot on this map

Phase IV Study of Perioperative Steroid's Effects on Death or MI in High-Risk Patients Undergoing Cardiac Surgery Requiring Cardiopulmonary Bypass

TypeinterventionalSponsorPopulation Health Research InstituteRan2007 to 2014Enrolled7,507ConditionsCardiac Surgical Procedures, Cardiopulmonary Bypass, Systemic Inflammatory Response SyndromeArmsMethylprednisolone, Placebo
3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
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.

Sébastien ThériaultDepartment of Pathology and Molecular Medicine, McMaster University, Hamilton, Ontario, Canada.
Richard WhitlockDepartment of Surgery, McMaster University, Hamilton, Ontario, Canada.
Kripa RamanDepartment of Pathology and Molecular Medicine, McMaster University, Hamilton, Ontario, Canada.
Jessica VincentPopulation Health Research Institute, David Braley Cardiac, Vascular and Stroke Research Institute, McMaster University, Hamilton, Ontario, Canada.
Salim YusufDepartment of Medicine, McMaster University, Hamilton, Ontario, Canada.
Guillaume ParéDepartment of Pathology and Molecular Medicine, McMaster University, Hamilton, Ontario, Canada pareg@mcmaster.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiagnosis of atrial fibrillation (AF) can be difficult, requiring cumbersome investigations. We aimed to determine the association of established whole-blood gene expression scores with prevalent AF and to evaluate their performance for the identification of AF in a SIRS (Steroids in Cardiac Surgery) trial cohort. METHODS AND

resultsWhole-blood, transcriptome-wide gene expression profiling was performed using the Illumina HumanHT-12 Expression BeadChip in 416 participants (65% men) before surgery, including 91 with a diagnosis of AF. An AF gene score (GS) calculated from 7 genes reported to be upregulated in AF and a validated GS for biological age based on 1254 genes related to aging were both independently associated with AF diagnosis before surgery in multivariate logistic regression analyses adjusting for known risk factors (

conclusionsWe validated the existence of a blood gene expression signature for prevalent AF and showed that biological age derived from gene expression is significantly associated with prevalent AF. These findings suggest a potential utility of blood gene expression for the identification of patients with AF, particularly paroxysmal AF. This result could have implications for the prevention and management of cryptogenic stroke. CLINICAL

trial registrationURL: http://www.clinicaltrials.gov. Unique identifier: NCT00427388.

Indexed as

AgedAge FactorsAtrial FibrillationFemaleGene ExpressionGene Expression ProfilingGenome-Wide Association StudyHumansMaleROC Curveatrial fibrillationdiscriminationgene expression

Identifiers

PMID28666990
PMCPMC5586311

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Registered trials

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.