Evidence map›Paper›PMID 28608165›Full record

Trial reportJournal of thrombosis and thrombolysis2017

Platelet-related biomarkers and their response to inhibition with aspirin and p2y

Angela Lowenstern, Robert F Storey, Megan Neely, Jie-Lena Sun, Dominick J Angiolillo, Christopher P Cannon, Anders Himmelmann, Kurt Huber, Stefan K James, Hugo A Katus and 6 more

Open access · greenAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of thrombosis and thrombolysis, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.6field-weighted citation impact, top 15% 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

12 citing papers in PubMed, 22 citations in OpenAlex.

  1. Trial
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  4. Article
  5. Review
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  7. Updates on New Therapies for Patients with CKD.Kidney international reports · 2024
    Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. MiR-21 role in aspirin-dependent PPARα and multidrug resistance protein 4 upregulation.Research and practice in thrombosis and haemostasis · 2018
    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

16 authors at 8 institutions in 7 countries.

Angela LowensternDuke Clinical Research Institute, Duke University, Medical Center, 2301 Erwin Road, DUMC Box 2845, Durham, NC, 27710, USA. angela.sandelin@dm.duke.edu.ORCID http://orcid.org/0000-0003-2626-9238
Robert F StoreyDepartment of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK.
Megan NeelyDuke Clinical Research Institute, Duke University, Medical Center, 2301 Erwin Road, DUMC Box 2845, Durham, NC, 27710, USA.
Jie-Lena SunDuke Clinical Research Institute, Duke University, Medical Center, 2301 Erwin Road, DUMC Box 2845, Durham, NC, 27710, USA.
Dominick J AngiolilloDivision of Cardiology, University of Florida College of Medicine-Jacksonville, Jacksonville, FL, USA.
Christopher P CannonCardiovascular Division, Brigham and Women's Hospital, Boston, MA, USA.
Anders HimmelmannAstraZeneca Research and Development, Gothenburg, Sweden.
Kurt Huber3rd Department of Medicine, Cardiology and Intensive Care, Wilhelminen Hospital, Vienna, Austria.
Stefan K JamesDepartment of Medical Sciences, Cardiology, Uppsala University, Uppsala, Sweden.
Hugo A KatusMedizinishe Klinik, Universitätsklinikum Heidelberg, Heidelberg, Germany.
Joao MoraisLeiria Hospital Centre, Leiria, Portugal.
Agneta SiegbahnUppsala Clinical Research Center, Uppsala University, Uppsala, Sweden.
Phillippe Gabriel StegDépartement Hospitalo-Universitaire FIRE, AP-HP, Hôpital Bichat, Paris, France.
Lars WallentinDepartment of Medical Sciences, Cardiology, Uppsala University, Uppsala, Sweden.
Richard C BeckerDivision of Cardiovascular Health and Disease, Heart, Lung and Vascular Institute, University of Cincinnati College of Medicine, Cincinnati, OH, USA.
PLATO Investigators
Uppsala University · SEClinical Research Institute · USBrigham and Women's Hospital · USSigmund Freud Privatuniversität Wien · ATDuke Medical Center · USInstituto Politécnico de Leiria · PTUniversity of Cincinnati Medical Center · USUniversity of Florida · US

Funding

Postdoctoral Training in Cardiovascular Clinical ResearchT32HL069749 · NHLBI · DUKE UNIVERSITY · PI MARK, DANIEL B · 2003 to 2023
$6.7M
NHLBI NIH HHS T32 HL069749
6 · The paper itself

Abstract

The PLATelet inhibition and patient Outcomes (PLATO) trial showed that treatment with ticagrelor reduced the rate of death due to vascular causes, myocardial infarction and stroke when compared to clopidogrel in patients with ST-elevation or non-ST-elevation acute coronary syndrome (ACS). While the comparative benefit of ticagrelor over clopidogrel increased over time, event rates accrued in both groups during the study period. The purpose of our biomarker-based exploratory analysis was to determine whether long-term platelet inhibition may be associated with platelet adaptation. A sample of 4000 participants from the PLATO trial also consented to participate in a prospectively designed biomarker substudy. Blood samples were procured at baseline, immediately prior to hospital discharge and at 1 and 6 months. Markers of platelet activity, including platelet count, serum CD40-ligand and soluble P-selectin were analyzed. Mean levels were compared at discharge, 1 and 6 months following study drug initiation-first for all patients and subsequently stratified by treatment group. A linear mixed model was used to estimate the short-term change rate (baseline to 1 month) and long-term change rate (1-6 months) for each biomarker. A Cox proportional hazards model was used to calculate hazard ratios for each change in biomarker over the two time periods examined: baseline to 1 month and 1 to 6 months. Prior to randomized treatment (baseline), sCD40 ligand and sP-selectin levels were elevated above the normal range of the assay (0.39 and 33.5 µg/L, respectively). The mean level of each biomarker was significantly different at 1 month compared to baseline (p < 0.0001). When stratified by treatment group, at 1 month patients treated with ticagrelor had a larger increase in platelet count compared to those treated with clopidogrel (p < 0.0001). Similarly, when comparing biomarker levels for all patients at 6 months with those at 1 month, each differed significantly (p < 0.05). There was no significant difference between treatment groups during this time period. The rate of change for both platelet count and sP-selectin were significantly different between baseline and 1 month when compared to the 1 to 6-month time period (p < 0.0001). When comparing treatment groups, the rate of increase in platelets from baseline to 1 month was greater for patients treated with ticagrelor (p < 0.0001). This was no longer observed in the 1 to 6-month interval. Using a Cox proportional hazard model, the increase in platelet count from 1 to 6 months was associated with ischemic-thrombotic events, while sCD40 ligand decrease from 1 to 6 months was associated with hemorrhagic events. There were no differences between treatment groups for the associations with clinical endpoints. Dynamic changes in platelet count, sCD-40 ligand and sP-selectin occur over time among patients with ACS. Platelet-directed therapy with a P2Y

Indexed as

Acute Coronary SyndromeAdenosineAgedAspirinBiomarkersBlood PlateletsCD40 LigandClopidogrelFemaleHumansMaleMiddle AgedPlatelet Aggregation InhibitorsPlatelet CountProspective StudiesP-SelectinAdenosineAspirinBiomarkersCD40 LigandClopidogrelPlatelet Aggregation InhibitorsP-SelectinPurinergic P2Y Receptor AntagonistsTicagrelorTiclopidineAcute coronary syndromeP2Y12 inhibitorPlatelet adaptomeTicagrelor

Identifiers

PMID28608165
PMCPMC6744836
OpenAlexW2626123501

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.