Risk scores for type 2 diabetes mellitus in Latin America: a systematic review of population-based studies

R. M. Carrillo-Larco, D. J. Aparcana-Granda, J. R. Mejia, N. C. Barengo, A. Bernabe-Ortiz

Research output: Contribution to journalReview articlepeer-review

15 Citations (Scopus)
11 Downloads (Pure)


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.

Original languageEnglish
Pages (from-to)1573-1584
Number of pages12
JournalDiabetic Medicine
Issue number12
Publication statusPublished - 1 Dec 2019
Externally publishedYes

Field of Science*

  • 3.2 Clinical medicine

Publication Type*

  • 1.1. Scientific article indexed in Web of Science and/or Scopus database


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