Evidence map›Paper›PMID 28294633›Full record

Trial reportClinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis2017

Platelet Count and Mean Platelet Volume at the Time of and After Acute Myocardial Infarction.

Alok Ravindra Amraotkar, David Day Song, Diana Otero, Patrick James Trainor, Imtiaz Ismail, Vallari Kothari, Ayesha Singh, Joseph B Moore, Shesh Nath Rai, Andrew Paul DeFilippis

Open access · bronzeAbstract readClinical TrialMulticenter Study
In one paragraph

Trial report in Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.5field-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

11 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Predictive Value of Hematologic Indices in the Diagnosis of Acute Coronary Syndrome.Open access Macedonian journal of medical sciences · 2019
    Article
  10. Platelets Are at the Nexus of Vascular Diseases.Frontiers in cardiovascular medicine · 2019
    Review
  11. 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

10 authors at 5 institutions in 1 country.

Alok Ravindra Amraotkar1 Division of Cardiovascular Medicine, University of Louisville, Louisville, KY, USA.
David Day Song2 School of Medicine, University of Louisville, Louisville, KY, USA.
Diana Otero3 Bronx Program, Icahn School of Medicine at Mount Sinai, Bronx, NY, USA.
Patrick James Trainor1 Division of Cardiovascular Medicine, University of Louisville, Louisville, KY, USA.
Imtiaz Ismail5 Department of Medicine, Rosalind Franklin University of Medicine and Science, North Chicago, IL, USA.
Vallari Kothari6 Department of Internal Medicine, Henry Ford Hospital, Detroit, MI, USA.
Ayesha Singh2 School of Medicine, University of Louisville, Louisville, KY, USA.
Joseph B Moore1 Division of Cardiovascular Medicine, University of Louisville, Louisville, KY, USA.
Shesh Nath Rai5 Department of Medicine, Rosalind Franklin University of Medicine and Science, North Chicago, IL, USA.
Andrew Paul DeFilippis1 Division of Cardiovascular Medicine, University of Louisville, Louisville, KY, USA.
University of Louisville · USRosalind Franklin University of Medicine and Science · USHenry Ford Hospital · USIcahn School of Medicine at Mount Sinai · USKentuckyOne Health · US

Funding

Project 5 - Metabolomic Analysis of AtherothrombosisP20GM103492 · NIGMS · UNIVERSITY OF LOUISVILLE · PI DEFILIPPIS, ANDREW · 2012 to 2017
$13.8M
NIGMS NIH HHS P20 GM103492
6 · The paper itself

Abstract

Platelet count has been shown to be lower and mean platelet volume (MPV) to be higher in acute myocardial infarction (MI). However, it is not known whether these changes persist post-MI or if these measures are able to distinguish between acute thrombotic and non-thrombotic MI. Platelet count and MPV were measured in 80 subjects with acute MI (thrombotic and non-thrombotic) and stable coronary artery disease (CAD) at cardiac catheterization (acute phase) and at >3-month follow-up (quiescent phase). Subjects were stratified using stringent clinical, biochemical, histological, and angiographic criteria. Outcome measures were compared between groups by analysis of variance. Forty-seven subjects met criteria for acute MI with clearly defined thrombotic (n = 22) and non-thrombotic (n = 12) subsets. Fourteen subjects met criteria for stable CAD. No significant difference was observed in platelet count between subjects with acute MI and stable CAD at the acute or quiescent phase. MPV was higher in acute MI (9.18 ± 1.21) compared to stable CAD (8.13 ± 0.66; P = 0.003) at the acute phase but not at the quiescent phase (8.48 ± 0.58 vs 8.94 ± 1.42; P = 0.19). No difference in platelet count or MPV was detected between thrombotic and non-thrombotic subsets at acute or quiescent phases. The power to detect differences in these measures between thrombotic and non-thrombotic subsets was 58%. Higher MPV at the time of acute MI is not observed by 3 months post-MI (quiescent phase). Platelet count and MPV do not differ in subjects with thrombotic versus non-thrombotic MI. Further investigation is warranted to evaluate the utility of these measures in the diagnosis of acute MI.

Indexed as

Mean Platelet VolumeAdultAgedBlood PlateletsFemaleFollow-Up StudiesHumansMaleMiddle AgedMyocardial InfarctionPlatelet Countacute coronary syndromeatherothrombosisplatelet activationvascular physiology

Identifiers

PMID28294633
PMCPMC5572529
OpenAlexW2579605860

What OpenQuestion holds

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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.