Performance of the Leicester risk assessment and Leicester practice risk scores for assessing the risk of undiagnosed type 2 diabetes or prediabetes in diverse populations: protocol for a systematic review of published validations and updates

This review will identify studies that have implemented, modified or validated the LRA and LPR for the risk of undiagnosed T2DM and NDH in different populations. This will allow summary measures, including level of uncertainty, of model performance to be calculated, making this highly relevant to individuals and stakeholders who recommend and implement these models. Review conclusions will also inform the potential update and recalibration of the models. This will ultimately lead to improved outcomes through earlier diagnosis and management.

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Publication Details

Journal
Diagnostic and Prognostic Research
Published
2026-01-15
DOI
https://doi.org/10.1186/s41512-026-00219-w
Primary Topic
Diabetes, Cardiovascular Risks, and Lipoproteins
Type
article
Field-Weighted Citation Impact
0.00

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article

Performance of the Leicester risk assessment and Leicester practice risk scores for assessing the risk of undiagnosed type 2 diabetes or prediabetes in diverse populations: protocol for a systematic review of published validations and updates

Louise Haddon, Laura Gray, Kamlesh Khunti, Joie Ensor
Diagnostic and Prognostic Research
Diabetes, Cardiovascular Risks, and Lipoproteins
article

Performance of the Leicester risk assessment and Leicester practice risk scores for assessing the risk of undiagnosed type 2 diabetes or prediabetes in diverse populations: protocol for a systematic review of published validations and updates

Louise Haddon, Laura Gray, Kamlesh Khunti, Joie Ensor
article en

Abstract

This review will identify studies that have implemented, modified or validated the LRA and LPR for the risk of undiagnosed T2DM and NDH in different populations. This will allow summary measures, including level of uncertainty, of model performance to be calculated, making this highly relevant to individuals and stakeholders who recommend and implement these models. Review conclusions will also inform the potential update and recalibration of the models. This will ultimately lead to improved outcomes through earlier diagnosis and management.

Diagnostic and Prognostic ResearchVol. 10(1)
University of Leicester (GB), British Heart Foundation (GB), NIHR Birmingham Biomedical Research Centre (GB), NIHR Leicester Biomedical Research Centre (GB), University of Birmingham (GB)
National Institute for Health and Care Research, Department of Health and Social Care
Quality Education
Openalex Percentile: Top 87%
Diabetes, Cardiovascular Risks, and Lipoproteins
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