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Risk scores for type 2 diabetes mellitus in Latin America: a systematic review of population‐based studies
AIM: To summarize the evidence on diabetes risk scores for Latin American populations. METHODS: A systematic review was conducted (CRD42019122306) looking for diagnostic and prognostic models for type 2 diabetes mellitus among randomly selected adults in Latin America. Five databases (LILACS, Scopus...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6900051/ https://www.ncbi.nlm.nih.gov/pubmed/31441090 http://dx.doi.org/10.1111/dme.14114 |
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author | Carrillo‐Larco, R. M. Aparcana‐Granda, D. J. Mejia, J. R. Barengo, N. C. Bernabe‐Ortiz, A. |
author_facet | Carrillo‐Larco, R. M. Aparcana‐Granda, D. J. Mejia, J. R. Barengo, N. C. Bernabe‐Ortiz, A. |
author_sort | Carrillo‐Larco, R. M. |
collection | PubMed |
description | AIM: To summarize the evidence on diabetes risk scores for Latin American populations. METHODS: A systematic review was conducted (CRD42019122306) looking for diagnostic and prognostic models for type 2 diabetes mellitus among randomly selected adults in Latin America. Five databases (LILACS, Scopus, MEDLINE, Embase and Global Health) were searched. type 2 diabetes mellitus was defined using at least one blood biomarker and the reports needed to include information on the development and/or validation of a multivariable regression model. Risk of bias was assessed using the PROBAST guidelines. RESULTS: Of the 1500 reports identified, 11 were studied in detail and five were included in the qualitative analysis. Two reports were from Mexico, two from Peru and one from Brazil. The number of diabetes cases varied from 48 to 207 in the derivations models, and between 29 and 582 in the validation models. The most common predictors were age, waist circumference and family history of diabetes, and only one study used oral glucose tolerance test as the outcome. The discrimination performance across studies was ~ 70% (range: 66–72%) as per the area under the receiving‐operator curve, the highest metric was always the negative predictive value. Sensitivity was always higher than specificity. CONCLUSION: There is no evidence to support the use of one risk score throughout Latin America. The development, validation and implementation of risk scores should be a research and public health priority in Latin America to improve type 2 diabetes mellitus screening and prevention. |
format | Online Article Text |
id | pubmed-6900051 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-69000512019-12-20 Risk scores for type 2 diabetes mellitus in Latin America: a systematic review of population‐based studies Carrillo‐Larco, R. M. Aparcana‐Granda, D. J. Mejia, J. R. Barengo, N. C. Bernabe‐Ortiz, A. Diabet Med Systematic Reviews or Meta‐analyses AIM: To summarize the evidence on diabetes risk scores for Latin American populations. METHODS: A systematic review was conducted (CRD42019122306) looking for diagnostic and prognostic models for type 2 diabetes mellitus among randomly selected adults in Latin America. Five databases (LILACS, Scopus, MEDLINE, Embase and Global Health) were searched. type 2 diabetes mellitus was defined using at least one blood biomarker and the reports needed to include information on the development and/or validation of a multivariable regression model. Risk of bias was assessed using the PROBAST guidelines. RESULTS: Of the 1500 reports identified, 11 were studied in detail and five were included in the qualitative analysis. Two reports were from Mexico, two from Peru and one from Brazil. The number of diabetes cases varied from 48 to 207 in the derivations models, and between 29 and 582 in the validation models. The most common predictors were age, waist circumference and family history of diabetes, and only one study used oral glucose tolerance test as the outcome. The discrimination performance across studies was ~ 70% (range: 66–72%) as per the area under the receiving‐operator curve, the highest metric was always the negative predictive value. Sensitivity was always higher than specificity. CONCLUSION: There is no evidence to support the use of one risk score throughout Latin America. The development, validation and implementation of risk scores should be a research and public health priority in Latin America to improve type 2 diabetes mellitus screening and prevention. John Wiley and Sons Inc. 2019-09-06 2019-12 /pmc/articles/PMC6900051/ /pubmed/31441090 http://dx.doi.org/10.1111/dme.14114 Text en © 2019 The Authors. Diabetic Medicine published by John Wiley & Sons Ltd on behalf of Diabetes UK. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Systematic Reviews or Meta‐analyses Carrillo‐Larco, R. M. Aparcana‐Granda, D. J. Mejia, J. R. Barengo, N. C. Bernabe‐Ortiz, A. Risk scores for type 2 diabetes mellitus in Latin America: a systematic review of population‐based studies |
title | Risk scores for type 2 diabetes mellitus in Latin America: a systematic review of population‐based studies |
title_full | Risk scores for type 2 diabetes mellitus in Latin America: a systematic review of population‐based studies |
title_fullStr | Risk scores for type 2 diabetes mellitus in Latin America: a systematic review of population‐based studies |
title_full_unstemmed | Risk scores for type 2 diabetes mellitus in Latin America: a systematic review of population‐based studies |
title_short | Risk scores for type 2 diabetes mellitus in Latin America: a systematic review of population‐based studies |
title_sort | risk scores for type 2 diabetes mellitus in latin america: a systematic review of population‐based studies |
topic | Systematic Reviews or Meta‐analyses |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6900051/ https://www.ncbi.nlm.nih.gov/pubmed/31441090 http://dx.doi.org/10.1111/dme.14114 |
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