Global variation in diabetes diagnosis and prevalence based on fasting glucose and haemoglobin A1c

NCD Risk Factor Collaboration (NCD-RisC) Code and Data Sharing

This repository will contain code and data used in the paper "Global variation in diabetes diagnosis and prevalence based on fasting glucose and haemoglobin A1c" [1]. 

Contents Guide

• NCD_RisC_Nature_Medicine_2023_input_data.xlsx   The list of data sources used in the study, together with contact information for data access.
• multi-bugs-logbin-model.odc   BUGS model code for log-binomial regressions to examine what individual and study level factors were associated with whether participants with screen-detected diabetes were identified by elevated FPG, elevated HbA1c or elevated levels of both. See methods section of the publication [1] for details.

Contact

• For more information about the paper or the NCD Risk Factor Collaboration, please see www.ncdrisc.org or contact ncdrisc@imperial.ac.uk.

Reference

1. NCD Risk Factor Collaboration (NCD-RisC). Global variation in diabetes diagnosis and prevalence based on fasting glucose and haemoglobin A1c. Nature Medicine 2023; 29:2885-2901.