Evidence mapPaperPMID 25626759Full record

ReviewArquivos brasileiros de cardiologia2015

Microparticles as potential biomarkers of cardiovascular disease.

Carolina Nunes França, Maria Cristina de Oliveira Izar, Jônatas Bussador do Amaral, Daniela Melo Tegani, Francisco Antonio Helfenstein Fonseca

Abstract readReview
In one paragraph

Review in Arquivos brasileiros de cardiologia, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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.

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

28 citing papers in PubMed.

  1. Review
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  7. Endogenous fibrinolysis inhibitors in acute coronary syndrome.American heart journal plus : cardiology research and practice · 2021
    Review
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  14. Review
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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.

Carolina Nunes FrançaUniversidade Federal de São Paulo, São Paulo, SP, Brazil.
Maria Cristina de Oliveira IzarUniversidade Federal de São Paulo, São Paulo, SP, Brazil.
Jônatas Bussador do AmaralUniversidade Federal de São Paulo, São Paulo, SP, Brazil.
Daniela Melo TeganiUniversidade Federal de São Paulo, São Paulo, SP, Brazil.
Francisco Antonio Helfenstein FonsecaUniversidade Federal de São Paulo, São Paulo, SP, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Primary prevention of cardiovascular disease is a choice of great relevance because of its impact on health. Some biomarkers, such as microparticles derived from different cell populations, have been considered useful in the assessment of cardiovascular disease. Microparticles are released by the membrane structures of different cell types upon activation or apoptosis, and are present in the plasma of healthy individuals (in levels considered physiological) and in patients with different pathologies. Many studies have suggested an association between microparticles and different pathological conditions, mainly the relationship with the development of cardiovascular diseases. Moreover, the effects of different lipid-lowering therapies have been described in regard to measurement of microparticles. The studies are still controversial regarding the levels of microparticles that can be considered pathological. In addition, the methodologies used still vary, suggesting the need for standardization of the different protocols applied, aiming at using microparticles as biomarkers in clinical practice.

Indexed as

BiomarkersBlood PlateletsCardiovascular DiseasesCell-Derived MicroparticlesDiabetes MellitusEndothelial CellsEndotheliumHumansMedical IllustrationMonocytesBiomarkers

Identifiers

PMID25626759
PMCPMC4375661

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.