What question did this study set out to answer?

This research aims to quantify the lifetime risk of infectious diseases associated with type 1 diabetes, type 2 diabetes, and prediabetes.

February 10, 2026BMC MedicineOpen Access

Quantifying lifetime risk for 1,401 infectious diseases across the diabetes spectrum using a Bayesian approach

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This research aims to quantify the lifetime risk of infectious diseases associated with type 1 diabetes, type 2 diabetes, and prediabetes.
Utilized a Bayesian approach to model risks
Analyzed a wide range of infectious diseases
Considered diverse patient demographics across diabetes types
Identified varying levels of lifetime infection risk among T1D, T2D, and prediabetes patients
Demonstrated comprehensive risk profiles for 1,401 infectious diseases
Provided insights suggesting heightened awareness and preventive measures for this population

Implication

Quantifying infection risks across diabetes spectrum, indicating potential public health implications.

Abstract

Our comprehensive findings advance previous research by quantifying risk for wide-ranging infection outcomes across diverse patients with T1D, T2D, and prediabetes through an innovative Bayesian approach.

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Cite This Study

Olsen et al. (2026) studied this question.

synapsesocial.com/papers/698acaad7c832249c30ba047 https://doi.org/10.1186/s12916-026-04685-3

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Implication

Quantifying infection risks across diabetes spectrum, indicating potential public health implications.

Quantifying lifetime risk for 1,401 infectious diseases across the diabetes spectrum using a Bayesian approach

Key Points

Implication

Abstract

Discussion

Cite This Study

Quantifying lifetime risk for 1,401 infectious diseases across the diabetes spectrum using a Bayesian approach

Key Points

Implication

Abstract

Discussion

Cite This Study

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