Evidence map›Paper›PMID 31530226›Full record

Trial reportPhysiological genomics2019

Associations of osteopontin and NT-proBNP with circulating miRNA levels in acute coronary syndrome.

Lydia Coulter Kwee, Megan L Neely, Elizabeth Grass, Simon G Gregory, Matthew T Roe, E Magnus Ohman, Keith A A Fox, Harvey D White, Paul W Armstrong, Lenden M Bowsman and 4 more

Registry-linked trialOpen access · bronzeAbstract readClinical Trial, Phase IIIMulticenter Study
In one paragraph

Trial report in Physiological genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05704569 (Prediction of Primary Cardiovascular Events Using a Multimarker Approach), which is not on this map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 45% 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.

NCT05704569 completednot on this map

Prediction of Primary Cardiovascular Events Using a Multimarker Approach (Prospective Clinical Study)

TypeobservationalSponsorKaraganda Medical UniversityRan2014 to 2022Enrolled1,500ConditionsCardiovascular Diseases, Stroke, Myocardial Infarction, DeathArmsmeasurement of multiple biomarkers
3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Review
  6. Review
  7. Article
  8. Article
  9. 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

14 authors at 8 institutions in 5 countries.

Lydia Coulter KweeDuke Molecular Physiology Institute, Durham, North Carolina.ORCID 0000-0002-6997-8571
Megan L NeelyDuke Clinical Research Institute, Durham, North Carolina.
Elizabeth GrassDuke Molecular Physiology Institute, Durham, North Carolina.
Simon G GregoryDuke Molecular Physiology Institute, Durham, North Carolina.
Matthew T RoeDuke Clinical Research Institute, Durham, North Carolina.
E Magnus OhmanDuke Clinical Research Institute, Durham, North Carolina.
Keith A A FoxCentre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom.
Harvey D WhiteGreen Lane Cardiovascular Service, Auckland City Hospital, Auckland, New Zealand.
Paul W ArmstrongCanadian VIGOUR Centre and Division of Cardiology, Department of Medicine, University of Alberta, Edmonton, Alberta, Canada.
Lenden M BowsmanLilly Research Laboratories, Eli Lilly and Company, Indianapolis, Indiana.
Joseph V HaasLilly Research Laboratories, Eli Lilly and Company, Indianapolis, Indiana.
Kevin L DuffinLilly Research Laboratories, Eli Lilly and Company, Indianapolis, Indiana.
Mark Y ChanDivision of Cardiology, Department of Medicine, National University of Singapore, Singapore.
Svati H ShahDuke Molecular Physiology Institute, Durham, North Carolina.
Duke University · USEli Lilly (United States) · USDuke Medical Center · USAuckland City Hospital · NZClinical Research Institute · USNational University of Singapore · SGUniversity of Alberta · CAUniversity of Edinburgh · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The genomic regulatory networks underlying the pathogenesis of non-ST-segment elevation acute coronary syndrome (NSTE-ACS) are incompletely understood. As intermediate traits, protein biomarkers report on underlying disease severity and prognosis in NSTE-ACS. We hypothesized that integration of dense microRNA (miRNA) profiling with biomarker measurements would highlight potential regulatory pathways that underlie the relationships between prognostic biomarkers, miRNAs, and cardiovascular phenotypes. We performed miRNA sequencing using whole blood from 186 patients from the TRILOGY-ACS trial. Seven circulating prognostic biomarkers were measured: NH

Indexed as

Acute Coronary SyndromeAgedBiomarkersCirculating MicroRNACohort StudiesFemaleHigh-Throughput Nucleotide SequencingHumansMaleMiddle AgedNatriuretic Peptide, BrainOsteopontinPeptide FragmentsPhenotypePrognosisRisk FactorsBiomarkersCirculating MicroRNANatriuretic Peptide, BrainOsteopontinPeptide Fragmentspro-brain natriuretic peptide (1-76)SPP1 protein, humanacute coronary syndromebiomarkersmicroRNA

Identifiers

PMID31530226
PMCPMC7054637
OpenAlexW2973304794

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.