Accès ouvert déclaré
2024
review
Precision prognostics for cardiovascular disease in Type 2 diabetes: a systematic review and meta-analysis
Abrar Ahmad, Lee‐Ling Lim, Mario Luca Morieri, Claudia H.T. Tam, Feifei Cheng, Tinashe Chikowore, Monika Dudenhöffer‐Pfeifer, Hugo Fitipaldi, Chuiguo Huang, Sarah Kanbour, Sudipa Sarkar, Robert W. Koivula, Ayesha A. Motala, Sok Cin Tye, Gechang Yu, Yingchai Zhang, Michele Provenzano, Diana Sherifali, Russell J. de Souza, Deirdre K. Tobias, Jordi Merino, Catherine Aiken, Jamie L. Benham, Dhanasekaran Bodhini, Amy L. Clark, Kevin Colclough, Rosa Corcoy, Sara J. Cromer, Daisy Duan, Jamie L. Felton, Ellen C. Francis, Pieter Gillard, Véronique Gingras, Romy Gaillard, Eram Haider, Alice E. Hughes, Jennifer M. Iklé, Laura M. Jacobsen, Anna R. Kahkoska, Jarno L. T. Kettunen, Raymond J. Kreienkamp, Jonna M. E. Männistö, Robert Massey, Niamh‐Maire Mclennan, Rachel G. Miller, Jasper Most, Rochelle N. Naylor, Bige Ozkan, Kashyap Patel, Scott J. Pilla, Katsiaryna Prystupa, Sridharan Raghavan, Mary R. Rooney, Martin Schön, Zhila Semnani‐Azad, Magdalena Sevilla-González, Pernille Svalastoga, Wubet Worku Takele, Anne Cathrine B. Thuesen, Mustafa Tosur, Amelia S. Wallace, Caroline C. Wang, Jessie J. Wong, Jennifer M. Yamamoto, Katherine Young, Chloé Amouyal, Mette K. Andersen, Maxine P. Bonham, Mingling Chen, Sian C. Chivers, Christoffer Clemmensen, Dana Dabelea, Adem Y. Dawed, Aaron J. Deutsch, Laura T. Dickens, Linda A. DiMeglio, Carmella Evans‐Molina, María Mercè Fernández-Balsells, Stephanie L. Fitzpatrick, Stephen E. Gitelman, Mark O. Goodarzi, Jessica A. Grieger, Marta Guasch‐Ferré, Nahal Habibi, Torben Hansen, Arianna Harris-Kawano, Heba M. Ismail, Benjamin Hoag, Randi K. Johnson, Angus G. Jones, Aaron Leong, Gloria K. W. Leung, Ingrid Libman, Kai Liu, S. Alice Long, William L. Lowe, Robert W. Morton, Suna Önengüt-Gümüşcü, James S. Pankow, Maleesa Pathirana, Sofia Pazmiño, Dianna Perez, John R. Petrie, Camille E. Powe, Alejandra Quinteros, Rashmi Jain, Debashree Ray, Mathias Ried‐Larsen, Zeb Saeed, Vanessa Santhakumar, Gabriela S. F. Monaco, Denise Scholtens, Elizabeth Selvin, Wayne Huey‐Herng Sheu, Cate Speake, Maggie A. Stanislawski, Nele Steenackers, Andrea K. Steck, Norbert Stefan, Julie Støy, Rachael W. Taylor, Gebresilasea Gendisha Ukke, Marzhan Urazbayeva, Bart Van der Schueren, Camille Vatier, John M. Wentworth, Wesley Hannah, Sara L. White, Shao J. Zhou, Jacques Beltrand, Michel Polak, Ingvild Aukrust, Elisa De Franco, Sarah E. Flanagan, Kristin A. Maloney, Andrew McGovern, Janne Molnes, Mariam Nakabuye, Pål R. Njølstad, Hugo Pomares‐Millan, Cécile Saint‐Martin, Cuilin Zhang, Yeyi Zhu, Sungyoung Auh, Andrea J. Fawcett, Chandra Gruber, Eskedar Getie Mekonnen, Emily Mixter, Robert H. Eckel, John J. Nolan, Louis H. Philipson, Rebecca J. Brown, Liana K. Billings, Kristen E. Boyle, Tina Costacou, John Dennis, José C. Florez, Anna L. Gloyn, Peter A. Gottlieb, Siri Atma W. Greeley, Kurt Griffin, Andrew T. Hattersley, Irl B. Hirsch, Marie‐France Hivert, Korey K. Hood, Jami L. Josefson, Soo Heon Kwak, Lori M. Laffel, Siew Lim, Ruth J. F. Loos, Ronald C.W., Chantal Mathieu, Nestoras Mathioudakis, James B. Meigs, Shivani Misra, Viswanathan Mohan, Rinki Murphy, Richard A. Oram, Katharine R. Owen, Susan E. Ozanne, Ewan R. Pearson, Wei Perng, Toni I. Pollin, Rodica Pop‐Busui, Richard E. Pratley, Leanne M. Redman, María J. Redondo, Rebecca M. Reynolds, Robert K. Semple, Jennifer L. Sherr, Emily K. Sims, Arianne Sweeting, Miriam S. Udler, Kimberly K. Vesco, Tina Vilsbøll, Róbert Wágner, Stephen S. Rich, Paul W. Franks, Maria F. Gomez
48Citations signalées — pas une note de qualité
162Institutions déclarées
26Pays d’affiliation déclarés
Résumé fourni par la source
BACKGROUND: Precision medicine has the potential to improve cardiovascular disease (CVD) risk prediction in individuals with Type 2 diabetes (T2D). METHODS: We conducted a systematic review and meta-analysis of longitudinal studies to identify potentially novel prognostic factors that may improve CVD risk prediction in T2D. Out of 9380 studies identified, 416 studies met inclusion criteria. Outcomes were reported for 321 biomarker studies, 48 genetic marker studies, and 47 risk score/model studies. RESULTS: Out of all evaluated biomarkers, only 13 showed improvement in prediction performance. Results of pooled meta-analyses, non-pooled analyses, and assessments of improvement in prediction performance and risk of bias, yielded the highest predictive utility for N-terminal pro b-type natriuretic peptide (NT-proBNP) (high-evidence), troponin-T (TnT) (moderate-evidence), triglyceride-glucose (TyG) index (moderate-evidence), Genetic Risk Score for Coronary Heart Disease (GRS-CHD) (moderate-evidence); moderate predictive utility for coronary computed tomography angiography (low-evidence), single-photon emission computed tomography (low-evidence), pulse wave velocity (moderate-evidence); and low predictive utility for C-reactive protein (moderate-evidence), coronary artery calcium score (low-evidence), galectin-3 (low-evidence), troponin-I (low-evidence), carotid plaque (low-evidence), and growth differentiation factor-15 (low-evidence). Risk scores showed modest discrimination, with lower performance in populations different from the original development cohort. CONCLUSIONS: Despite high interest in this topic, very few studies conducted rigorous analyses to demonstrate incremental predictive utility beyond established CVD risk factors for T2D. The most promising markers identified were NT-proBNP, TnT, TyG and GRS-CHD, with the highest strength of evidence for NT-proBNP. Further research is needed to determine their clinical utility in risk stratification and management of CVD in T2D.
Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.
Contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Precision prognostics for cardiovascular disease in Type 2 diabetes: a systematic review and meta-analysis
- Date Crossref
- 22/01/2024
- Éditeur
- Springer Science and Business Media LLC
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude et ne compte pas comme une seconde source scientifique indépendante.
Institutions déclarées
Une affiliation ne permet pas de déduire la nationalité d’un auteur.
Sujets associés
Cardiovascular Disease and AdiposityCardiovascular Function and Risk FactorsCardiac Imaging and Diagnostics