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Data · dataset · 2023

Minimization of Drug Interactions in Polypharmacy Treatments of Diabetes Mellitus Type 2 with Cardiovascular Comorbidities by Using the Decision Support Tool PM-TOM

Listed in Teesside University Research Data Repository

Study: Minimization of Drug Interactions in Polypharmacy Treatments of Diabetes Mellitus Type 2 with Cardiovascular Comorbidities by Using the Decision Support Tool PM-TOM.

Description

The results of this study demonstrate that DDIs in combined polypharmacy treatments of DMT2 with its cardiovascular comorbidities can be significantly reduced by using decision support tools, like PM-TOM, while observing medical guidelines and specific patient conditions.

Furthermore, the study method can be applied to any other set of DMT2 comorbidities and also to any other multi-disease. The groups of analytical treatment cases correspond to possible development stages of the considered conditions; however, they do not suggest the only ways to combine drug classes. Still, the case groups and cases analyzed in the study cover a wide set of possible treatment cases, sufficient to draw the above conclusions.

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This study can be used as a background for specific studies of combined polypharmacy treatments and further upgrades of the medical guidelines.

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Teesside University Research Data Repositoryoai:data.mendeley.com/7mmz9p83bn.18 h agoJSON v1
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