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Effect of prediabetes on the long-term all-cause mortality of patients undergoing percutaneous coronary intervention: A protocol for systematic review and meta analysis
BACKGROUND: Prediabetes is an abnormal metabolic state that develops prior to the onset of diabetes with proven to common comorbid states of coronary artery disease. However, whether prediabetes worsens prognosis after percutaneous coronary intervention remains controversial. The aim of this study i...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7437842/ https://www.ncbi.nlm.nih.gov/pubmed/32872020 http://dx.doi.org/10.1097/MD.0000000000021623 |
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author | Shi, Rui Diao, Kai-yue Shi, Ke Gao, Yue Huang, Shan Guo, Ying-kun Yang, Zhi-gang |
author_facet | Shi, Rui Diao, Kai-yue Shi, Ke Gao, Yue Huang, Shan Guo, Ying-kun Yang, Zhi-gang |
author_sort | Shi, Rui |
collection | PubMed |
description | BACKGROUND: Prediabetes is an abnormal metabolic state that develops prior to the onset of diabetes with proven to common comorbid states of coronary artery disease. However, whether prediabetes worsens prognosis after percutaneous coronary intervention remains controversial. The aim of this study is to summarize previous cohort studies and to specify the impact of prediabetes on the long-term outcomes after percutaneous coronary intervention. METHODS: This meta-analysis will be performed according to the Preferred Reporting Items for Systematic Review and Meta-Analysis guidelines for conducting and reporting meta-analysis data. Pubmed, Embase and Google scholar will be systematically searched, and supplemented with manual searches of the included reference lists to identify cohort studies. Pooled effects on the discontinuous variables will be expressed by adjusted hazard ratios with 95% confidence intervals. All analyses will be performed with Stata 15.0 (StataCorp LP, College Station, TX). RESULTS: The results of this study will be published in a peer-reviewed journal. CONCLUSION: This systematic review will provide new information and help enhance clinical decision-making on management of these patients. REGISTRATION NUMBER: INPLASY202060079. |
format | Online Article Text |
id | pubmed-7437842 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-74378422020-09-02 Effect of prediabetes on the long-term all-cause mortality of patients undergoing percutaneous coronary intervention: A protocol for systematic review and meta analysis Shi, Rui Diao, Kai-yue Shi, Ke Gao, Yue Huang, Shan Guo, Ying-kun Yang, Zhi-gang Medicine (Baltimore) 4300 BACKGROUND: Prediabetes is an abnormal metabolic state that develops prior to the onset of diabetes with proven to common comorbid states of coronary artery disease. However, whether prediabetes worsens prognosis after percutaneous coronary intervention remains controversial. The aim of this study is to summarize previous cohort studies and to specify the impact of prediabetes on the long-term outcomes after percutaneous coronary intervention. METHODS: This meta-analysis will be performed according to the Preferred Reporting Items for Systematic Review and Meta-Analysis guidelines for conducting and reporting meta-analysis data. Pubmed, Embase and Google scholar will be systematically searched, and supplemented with manual searches of the included reference lists to identify cohort studies. Pooled effects on the discontinuous variables will be expressed by adjusted hazard ratios with 95% confidence intervals. All analyses will be performed with Stata 15.0 (StataCorp LP, College Station, TX). RESULTS: The results of this study will be published in a peer-reviewed journal. CONCLUSION: This systematic review will provide new information and help enhance clinical decision-making on management of these patients. REGISTRATION NUMBER: INPLASY202060079. Lippincott Williams & Wilkins 2020-08-14 /pmc/articles/PMC7437842/ /pubmed/32872020 http://dx.doi.org/10.1097/MD.0000000000021623 Text en Copyright © 2020 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by/4.0 This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/licenses/by/4.0 |
spellingShingle | 4300 Shi, Rui Diao, Kai-yue Shi, Ke Gao, Yue Huang, Shan Guo, Ying-kun Yang, Zhi-gang Effect of prediabetes on the long-term all-cause mortality of patients undergoing percutaneous coronary intervention: A protocol for systematic review and meta analysis |
title | Effect of prediabetes on the long-term all-cause mortality of patients undergoing percutaneous coronary intervention: A protocol for systematic review and meta analysis |
title_full | Effect of prediabetes on the long-term all-cause mortality of patients undergoing percutaneous coronary intervention: A protocol for systematic review and meta analysis |
title_fullStr | Effect of prediabetes on the long-term all-cause mortality of patients undergoing percutaneous coronary intervention: A protocol for systematic review and meta analysis |
title_full_unstemmed | Effect of prediabetes on the long-term all-cause mortality of patients undergoing percutaneous coronary intervention: A protocol for systematic review and meta analysis |
title_short | Effect of prediabetes on the long-term all-cause mortality of patients undergoing percutaneous coronary intervention: A protocol for systematic review and meta analysis |
title_sort | effect of prediabetes on the long-term all-cause mortality of patients undergoing percutaneous coronary intervention: a protocol for systematic review and meta analysis |
topic | 4300 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7437842/ https://www.ncbi.nlm.nih.gov/pubmed/32872020 http://dx.doi.org/10.1097/MD.0000000000021623 |
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