September 24, 2022Precision Clinical MedicineOpen Access

Precision medicine in cardiorenal and metabolic diseases with routinely collected clinical data: a novel insight

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Population

Adults with type 2 diabetes at high cardiovascular risk

Design

Editorial

Authors

SLSheyu LiSichuan University QSQingyang ShiSun Yat-sen University VLValentyn LitvinUniversité de Montréal

Discussion

Member takes

Implication

Partial identification analysis using bounded-variation assumptions offers a novel methodological approach to estimate personalized treatment effects from aggregate trial data when individual patient data are unavailable.

Structured PICO

Population

Adults with type 2 diabetes at high cardiovascular risk

Intervention

Empagliflozin

Outcome

Major cardiovascular events (MACE)composite

Limitations

Improper assumption of bounded variation may lead to a null bound that is not useful for practice, especially when the heterogeneity of a population or intervention is large

Cite This Study

Li et al. (2022) studied this question.

synapsesocial.com/papers/6a83cdf2be3ac444ce3e9b83 https://doi.org/10.1093/pcmedi/pbac025

View Full Paper

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Precision medicine in cardiorenal and metabolic diseases with routinely collected clinical data: a novel insight

Discussion

Member takes

Implication

Structured PICO

Limitations

Cite This Study

Precision medicine in cardiorenal and metabolic diseases with routinely collected clinical data: a novel insight

Discussion

Member takes

Implication

Structured PICO

Limitations

Cite This Study

Also Consider

Also Consider