Evidence map›Paper›PMID 38107326›Full record

ReviewHeliyon2023

Advances and Perspectives in methods for identifying high platelet reactivity.

Hua Gao, Nan Yang, Libo Yang, Hui Wang, Guoshan Zhang, Xueping Ma, Ning Deng

Open access · goldAbstract readReview
In one paragraph

Review in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.7field-weighted citation impact, top 26% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

7 authors at 1 institution in 1 country.

Hua GaoDepartment of Pharmacy, General Hospital of Ningxia Medical University, Yinchuan, 750004, China.
Nan YangSchool of Pharmacy, Ningxia Medical University, Yinchuan, 750004, China.
Libo YangHeart Centre and Department of Cardiovascular Diseases, General Hospital of Ningxia Medical University, Yinchuan, 750004, China.
Hui WangDepartment of Pharmacy, General Hospital of Ningxia Medical University, Yinchuan, 750004, China.
Guoshan ZhangHeart Centre and Department of Cardiovascular Diseases, General Hospital of Ningxia Medical University, Yinchuan, 750004, China.
Xueping MaHeart Centre and Department of Cardiovascular Diseases, General Hospital of Ningxia Medical University, Yinchuan, 750004, China.
Ning DengOffice of Drug Clinical Trial Organization, General Hospital of Ningxia Medical University, Yinchuan, 750004, China.
Ningxia Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antiplatelet therapy is the foundational treatment for the prevention and treatment of coronary and cerebrovascular ischemic events in patients with coronary heart disease, ischemic stroke, and transient ischemic attack (TIA). However, with more and more studies reporting an increased risk of thrombosis in some patients due to poor response to therapeutic agents, the selection of appropriate P2Y12 inhibitors has become a major challenge that needs to be addressed urgently. Currently, commonly used oral P2Y12 inhibitors include clopidogrel, ticagrelor, and prasugrel. Assessing patients' risk factors before the development of treatment regimens by effectively predicting the risk of high platelet reactivity with specific P2Y12 inhibitors in advance to avert the occurrence of major adverse cardiovascular and cerebrovascular events (MACCE) is the key point to the problem. Up to now, methods available for predicting platelet reactivity include genetic testing, platelet function testing, and risk scores. This review provides a summarization of the existent available identification methods and analyzes the advantages and drawbacks of different methods in specific clinical settings, intending to guide the rational clinical application of P2Y12 receptor inhibitors.

Indexed as

Antiplatelet agentsGenetic testingHigh platelet reactivityPlatelet function testingRisk score

Identifiers

PMID38107326
PMCPMC10724541
OpenAlexW4388599769

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.