Precision prognostics for cardiovascular disease in Type 2 diabetes: a systematic review and meta-analysis

被引：0

作者：

Abrar Ahmad

Lee-Ling Lim

Mario Luca Morieri

Claudia Ha-ting Tam

Feifei Cheng

Tinashe Chikowore

Monika Dudenhöffer-Pfeifer

Hugo Fitipaldi

Chuiguo Huang

Sarah Kanbour

Sudipa Sarkar

Robert Wilhelm Koivula

Ayesha A. Motala

Sok Cin Tye

Gechang Yu

Yingchai Zhang

Michele Provenzano

Diana Sherifali

Russell J. de Souza

Deirdre Kay Tobias

Maria F. Gomez

Ronald C. W. Ma

Nestoras Mathioudakis

机构：

[1] Lund University Diabetes Centre,Department of Clinical Sciences

[2] Lund University,Department of Medicine, Faculty of Medicine

[3] University of Malaya,Department of Medicine and Therapeutics

[4] The Chinese University of Hong Kong,Metabolic Disease Unit

[5] Asia Diabetes Foundation,Department of Medicine

[6] University Hospital of Padova,Laboratory for Molecular Epidemiology in Diabetes, Li Ka Shing Institute of Health Sciences

[7] University of Padova,Hong Kong Institute of Diabetes and Obesity

[8] The Chinese University of Hong Kong,Health Management Center

[9] The Chinese University of Hong Kong,MRC/Wits Developmental Pathways for Health Research Unit, Department of Paediatrics, Faculty of Health Sciences

[10] The Second Affiliated Hospital of Chongqing Medical University,Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences

[11] Chongqing Medical University,Department of Medicine

[12] University of the Witwatersrand,Oxford Centre for Diabetes, Endocrinology and Metabolism

[13] University of the Witwatersrand,Department of Diabetes and Endocrinology, Nelson R Mandela School of Medicine

[14] AMAN Hospital,Department of Clinical Pharmacy and Pharmacology

[15] Johns Hopkins University School of Medicine,Sections on Genetics and Epidemiology

[16] University of Oxford,Nephrology, Dialysis and Renal Transplant Unit

[17] University of KwaZulu-Natal,Heather M. Arthur Population Health Research Institute

[18] University Medical Center Groningen,Department of Health Research Methods, Evidence, and Impact, Faculty of Health Sciences

[19] Joslin Diabetes Center,Population Health Research Institute

[20] Harvard Medical School,Faculty of Health

[21] IRCCS—Azienda Ospedaliero-Universitaria di Bologna,Division of Preventative Medicine, Department of Medicine

[22] Alma Mater Studiorum University of Bologna,Department of Nutrition

[23] McMaster University,Novo Nordisk Foundation Center for Basic Metabolic Research

[24] McMaster University,Diabetes Unit, Endocrine Division

[25] Hamilton Health Sciences Corporation,Center for Genomic Medicine

[26] Harvard T.H. Chan School of Public Health,Department of Obstetrics and Gynaecology

[27] Aarhus University,NIHR Cambridge Biomedical Research Centre

[28] Brigham and Women’s Hospital and Harvard Medical School,Departments of Medicine and Community Health Sciences, Cumming School of Medicine

[29] Harvard T.H. Chan School of Public Health,Department of Molecular Genetics

[30] Faculty of Health and Medical Sciences,Division of Pediatric Endocrinology, Department of Pediatrics

[31] University of Copenhagen,Department of Clinical and Biomedical Sciences

[32] Massachusetts General Hospital,Departament de Medicina

[33] Massachusetts General Hospital,Department of Medicine

[34] the Rosie Hospital,Division of Endocrinology, Diabetes and Metabolism

[35] University of Cambridge,Department of Pediatrics

[36] University of Calgary,Herman B Wells Center for Pediatric Research

[37] Madras Diabetes Research Foundation,Center for Diabetes and Metabolic Diseases

[38] Saint Louis University School of Medicine,Department of Biostatistics and Epidemiology

[39] SSM Health Cardinal Glennon Children’s Hospital,Department of Nutrition

[40] University of Exeter Medical School,Research Center

[41] CIBER-BBN,Department of Pediatrics

[42] ISCIII,Division of Population Health & Genomics, School of Medicine

[43] Institut d’Investigació Biomèdica Sant Pau (IIB SANT PAU),Department of Pediatrics

[44] Universitat Autònoma de Barcelona,Stanford Diabetes Research Center

[45] Programs in Metabolism and Medical & Population Genetics,Department of Nutrition

[46] Broad Institute,Institute for Molecular Medicine Finland FIMM

[47] Harvard Medical School,Department of Pediatrics, Division of Endocrinology

[48] Johns Hopkins University School of Medicine,Department of Medicine & Therapeutics

[49] Indiana University School of Medicine,Departments of Pediatrics and Clinical Genetics

[50] Indiana University School of Medicine,Department of Medicine

来源：

Communications Medicine | / 4卷

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摘要：

People living with type 2 diabetes (T2D) are more likely to develop problems with their heart or blood circulation, known as cardiovascular disease (CVD), than people who do not have T2D. However, it can be difficult to predict which people with T2D are most likely to develop CVD. This is because current approaches, such as blood tests, do not identify all people with T2D who are at an increased risk of CVD. In this study we reviewed published papers that investigated the differences between people with T2D who experienced CVD compared to those who did not. We found some indicators that could potentially be used to determine which people with T2D are most likely to develop CVD. More studies are needed to determine how useful these are. However, they could potentially be used to enable clinicians to provide targeted advice and treatment to those people with T2D at most risk of developing CVD.

引用

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Ahmad, Abrar
Lim, Lee-Ling
Morieri, Mario Luca
Tam, Claudia Ha-ting
Cheng, Feifei
Chikowore, Tinashe
Dudenhoffer-Pfeifer, Monika
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Kanbour, Sarah
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Motala, Ayesha A.
Tye, Sok Cin
Yu, Gechang
Zhang, Yingchai
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