Literature DB >> 21737947

After the triumph of cardiovascular medicine over acute myocardial infarction at the end of the 20th Century. -Can we predict the onset of acute coronary syndrome? (Con)-.

Yasuki Kihara1.   

Abstract

Predicting acute cardiovascular ischemic events is a crucial and urgent issue in the current cardiovascular field. An enormous effort to develop methodologies to achieve this purpose is being undertaken in cardiovascular institutes worldwide. However, currently, there is no established method of determining acute cardiovascular ischemic events in advance. This article reviews the latest progress on understanding how these events occur and how they can be detected. This goal represents a great dream that has realistic expectations.

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Year:  2011        PMID: 21737947     DOI: 10.1253/circj.cj-11-0573

Source DB:  PubMed          Journal:  Circ J        ISSN: 1346-9843            Impact factor:   2.993


  4 in total

1.  Exploring diagnostic and prognostic predictive values of microRNAs for acute myocardial infarction: A PRISMA-compliant systematic review and meta-analysis.

Authors:  Gien-Kuo Lee; Yen-Ping Hsieh; Shang-Wei Hsu; Shou-Jen Lan
Journal:  Medicine (Baltimore)       Date:  2021-07-23       Impact factor: 1.817

2.  Long-Term Effect of β-Blocker Use on Clinical Outcomes in Postmyocardial Infarction Patients: A Systematic Review and Meta-Analysis.

Authors:  Chunling Liang; Chenhao Zhang; Shibao Gan; Xiaojie Chen; Zhihui Tan
Journal:  Front Cardiovasc Med       Date:  2022-04-08

3.  Proposal of quality indicators for cardiac rehabilitation after acute coronary syndrome in Japan: a modified Delphi method and practice test.

Authors:  Shosuke Ohtera; Natsuko Kanazawa; Neiko Ozasa; Kenji Ueshima; Takeo Nakayama
Journal:  BMJ Open       Date:  2017-01-27       Impact factor: 2.692

4.  Serum microRNAs profile from genome-wide serves as a fingerprint for diagnosis of acute myocardial infarction and angina pectoris.

Authors:  Chunjian Li; Zhijuan Fang; Ting Jiang; Qiu Zhang; Chao Liu; Chenyu Zhang; Yang Xiang
Journal:  BMC Med Genomics       Date:  2013-05-04       Impact factor: 3.063

  4 in total

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