Comparing different metabolic indexes to predict type 2 diabetes mellitus in a five years follow-up cohort: The Baependi Heart Study.
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| Title: | Comparing different metabolic indexes to predict type 2 diabetes mellitus in a five years follow-up cohort: The Baependi Heart Study. |
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| Authors: | de Oliveira CM; Stanford University School of Medicine, Stanford, California, United States of America.; Laboratory of Genetics and Molecular Cardiology, Heart Institute (InCor), University of São Paulo Medical School, São Paulo, Brazil.; Department of Integrative Medicine, Federal University of Parana, Curitiba, Brazil., Pavani JL; Department of Statistics, Pontificia Universidad Católica de Chile, Santiago, Chile., Liu C; Framingham Heart Study, Framingham, Massachusetts, United States of America.; Department of Biostatistics, Boston University, Boston, Massachusetts, United States of America., Balcells M; Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America.; Bioengineering Department, Institut Quimic de Sarria, Ramon Llull Univ, Barcelona, Spain., Capasso R; Stanford University School of Medicine, Stanford, California, United States of America., Alvim RO; Laboratory of Genetics and Molecular Cardiology, Heart Institute (InCor), University of São Paulo Medical School, São Paulo, Brazil.; Department of Physiological Sciences, Federal University of Amazonas, Manaus, Brazil., Mourão-Júnior CA; Department of Physiology, Federal University of Juiz de Fora, Juiz de Fora, Brazil., Krieger JE; Laboratory of Genetics and Molecular Cardiology, Heart Institute (InCor), University of São Paulo Medical School, São Paulo, Brazil., Pereira AC; Laboratory of Genetics and Molecular Cardiology, Heart Institute (InCor), University of São Paulo Medical School, São Paulo, Brazil. |
| Source: | PloS one [PLoS One] 2022 Jun 03; Vol. 17 (6), pp. e0267723. Date of Electronic Publication: 2022 Jun 03 (Print Publication: 2022). |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1932-6203 |
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| DOI: | 10.1371/journal.pone.0267723 |
