Hemogram parameters for predicting pulmonary embolism in patients with deep venous thrombosis
Hakki Kaya, Recep KurtDepartment of Cardiology, Cumhuriyet University Medical School, Sivas, TurkeyWe read the article of Sevuk et al,1 published in the August 2015 issue of your journal, with great interest. The authors concluded that percentage change in serial measurements of mean platelet volume...
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ftdovepress:oai:dovepress.com/24536 2023-05-15T18:34:26+02:00 Hemogram parameters for predicting pulmonary embolism in patients with deep venous thrombosis Kaya,Hakki Kurt,Recep 2015-11-06 text/html https://www.dovepress.com/hemogram-parameters-for-predicting-pulmonary-embolism-in-patients-with-peer-reviewed-fulltext-article-TCRM en eng Dove Press info:eu-repo/semantics/altIdentifier/doi/10.2147/TCRM.S96694 https://www.dovepress.com/hemogram-parameters-for-predicting-pulmonary-embolism-in-patients-with-peer-reviewed-fulltext-article-TCRM info:eu-repo/semantics/openAccess Therapeutics and Clinical Risk Management Letter info:eu-repo/semantics/article 2015 ftdovepress https://doi.org/10.2147/TCRM.S96694 2022-12-27T21:57:14Z Hakki Kaya, Recep KurtDepartment of Cardiology, Cumhuriyet University Medical School, Sivas, TurkeyWe read the article of Sevuk et al,1 published in the August 2015 issue of your journal, with great interest. The authors concluded that percentage change in serial measurements of mean platelet volume (MPV) and platelet-distribution width (PDW) is valuable in predicting the development of pulmonary thromboembolism in patients with a previous history of deep venous thrombosis (DVT). In a similar study conducted by Braekkan et al2 (Tromsø Study), MPV on admission was shown to predict pulmonary thromboembolism. Read the original paper here Article in Journal/Newspaper Tromsø Dove Medical Press Tromsø Therapeutics and Clinical Risk Management 1683 |
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Therapeutics and Clinical Risk Management |
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Therapeutics and Clinical Risk Management Kaya,Hakki Kurt,Recep Hemogram parameters for predicting pulmonary embolism in patients with deep venous thrombosis |
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Therapeutics and Clinical Risk Management |
description |
Hakki Kaya, Recep KurtDepartment of Cardiology, Cumhuriyet University Medical School, Sivas, TurkeyWe read the article of Sevuk et al,1 published in the August 2015 issue of your journal, with great interest. The authors concluded that percentage change in serial measurements of mean platelet volume (MPV) and platelet-distribution width (PDW) is valuable in predicting the development of pulmonary thromboembolism in patients with a previous history of deep venous thrombosis (DVT). In a similar study conducted by Braekkan et al2 (Tromsø Study), MPV on admission was shown to predict pulmonary thromboembolism. Read the original paper here |
format |
Article in Journal/Newspaper |
author |
Kaya,Hakki Kurt,Recep |
author_facet |
Kaya,Hakki Kurt,Recep |
author_sort |
Kaya,Hakki |
title |
Hemogram parameters for predicting pulmonary embolism in patients with deep venous thrombosis |
title_short |
Hemogram parameters for predicting pulmonary embolism in patients with deep venous thrombosis |
title_full |
Hemogram parameters for predicting pulmonary embolism in patients with deep venous thrombosis |
title_fullStr |
Hemogram parameters for predicting pulmonary embolism in patients with deep venous thrombosis |
title_full_unstemmed |
Hemogram parameters for predicting pulmonary embolism in patients with deep venous thrombosis |
title_sort |
hemogram parameters for predicting pulmonary embolism in patients with deep venous thrombosis |
publisher |
Dove Press |
publishDate |
2015 |
url |
https://www.dovepress.com/hemogram-parameters-for-predicting-pulmonary-embolism-in-patients-with-peer-reviewed-fulltext-article-TCRM |
geographic |
Tromsø |
geographic_facet |
Tromsø |
genre |
Tromsø |
genre_facet |
Tromsø |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.2147/TCRM.S96694 https://www.dovepress.com/hemogram-parameters-for-predicting-pulmonary-embolism-in-patients-with-peer-reviewed-fulltext-article-TCRM |
op_rights |
info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.2147/TCRM.S96694 |
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Therapeutics and Clinical Risk Management |
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1683 |
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1766219176449409024 |