TY - JOUR
T1 - FINDRISC in Latin America
T2 - A systematic review of diagnosis and prognosis models
AU - Carrillo-Larco, Rodrigo M.
AU - Aparcana-Granda, Diego J.
AU - Mejia, Jhonatan R.
AU - Bernabé-Ortiz, Antonio
N1 - Publisher Copyright:
© Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY. Published by BMJ.
PY - 2020/4/22
Y1 - 2020/4/22
N2 - This review aimed to assess whether the FINDRISC, a risk score for type 2 diabetes mellitus (T2DM), has been externally validated in Latin America and the Caribbean (LAC). We conducted a systematic review following the CHARMS (CHecklist for critical Appraisal and data extraction for systematic Reviews of prediction Modelling Studies) framework. Reports were included if they validated or re-estimated the FINDRISC in population-based samples, health facilities or administrative data. Reports were excluded if they only studied patients or at-risk individuals. The search was conducted in Medline, Embase, Global Health, Scopus and LILACS. Risk of bias was assessed with the PROBAST (Prediction model Risk of Bias ASsessment Tool) tool. From 1582 titles and abstracts, 4 (n=7502) reports were included for qualitative summary. All reports were from South America; there were slightly more women, and the mean age ranged from 29.5 to 49.7 years. Undiagnosed T2DM prevalence ranged from 2.6% to 5.1%. None of the studies conducted an independent external validation of the FINDRISC; conversely, they used the same (or very similar) predictors to fit a new model. None of the studies reported calibration metrics. The area under the receiver operating curve was consistently above 65.0%. All studies had high risk of bias. There has not been any external validation of the FINDRISC model in LAC. Selected reports re-estimated the FINDRISC, although they have several methodological limitations. There is a need for big data to develop - or improve - T2DM diagnostic and prognostic models in LAC. This could benefit T2DM screening and early diagnosis.
AB - This review aimed to assess whether the FINDRISC, a risk score for type 2 diabetes mellitus (T2DM), has been externally validated in Latin America and the Caribbean (LAC). We conducted a systematic review following the CHARMS (CHecklist for critical Appraisal and data extraction for systematic Reviews of prediction Modelling Studies) framework. Reports were included if they validated or re-estimated the FINDRISC in population-based samples, health facilities or administrative data. Reports were excluded if they only studied patients or at-risk individuals. The search was conducted in Medline, Embase, Global Health, Scopus and LILACS. Risk of bias was assessed with the PROBAST (Prediction model Risk of Bias ASsessment Tool) tool. From 1582 titles and abstracts, 4 (n=7502) reports were included for qualitative summary. All reports were from South America; there were slightly more women, and the mean age ranged from 29.5 to 49.7 years. Undiagnosed T2DM prevalence ranged from 2.6% to 5.1%. None of the studies conducted an independent external validation of the FINDRISC; conversely, they used the same (or very similar) predictors to fit a new model. None of the studies reported calibration metrics. The area under the receiver operating curve was consistently above 65.0%. All studies had high risk of bias. There has not been any external validation of the FINDRISC model in LAC. Selected reports re-estimated the FINDRISC, although they have several methodological limitations. There is a need for big data to develop - or improve - T2DM diagnostic and prognostic models in LAC. This could benefit T2DM screening and early diagnosis.
KW - FINDRISC
KW - diagnostic models
KW - low- and middle-income countries
KW - prognostic models
KW - type 2 diabetes mellitus
UR - http://www.scopus.com/inward/record.url?scp=85084031297&partnerID=8YFLogxK
U2 - 10.1136/bmjdrc-2019-001169
DO - 10.1136/bmjdrc-2019-001169
M3 - Artículo de revisión
C2 - 32327446
AN - SCOPUS:85084031297
SN - 2052-4897
VL - 8
JO - BMJ Open Diabetes Research and Care
JF - BMJ Open Diabetes Research and Care
IS - 1
M1 - e001169
ER -