Author

P. G. Brambilla

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Pathology· 3

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Organism:C. elegans· 1 Research Focus:cell type annotation· 1 Assay:clinical cohort / trial· 1

Frequent Co-Authors

M. BAGARDI· 3 shared C. Locatelli· 2 shared M. Polli· 2 shared A. Bionda· 1 shared A. Galizzi· 1 shared A. Zanaboni· 1 shared C. Bussadori· 1 shared C. M. Bussadori· 1 shared

Activity by Year

2020-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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3 shared papersPathology

M. BAGARDI

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3 papers

Recent·Most cited

Echocardiographic mitral valve association with morphometric measurements in Cavalier King Charles Spaniels via Inverse Probability Weighting analysis

M. BAGARDI, S. Ghilardi, C. Locatelli, A. Bionda, M. Polli, C. M. Bussadori, F. M. Colombo, L. Pazzagli, P. G. Brambilla

This study uses inverse probability weighting to analyze morphometric and echocardiographic data in Cavalier King Charles Spaniels to identify associations with mitral valve disease severity.

bioRxiv · Apr 15, 2021Pathology

Clinical Epidemiology of congenital heart diseases in dogs: prevalence, popularity and volatility throughout twenty years of clinical practice

P. G. Brambilla, M. Polli, D. Pradelli, M. Papa, R. Rizzi, M. Bagardi, C. Bussadori

This study examines the epidemiology of congenital heart diseases in dogs over 20 years, finding that breed-specific screening reduced disease prevalence but trends and popularity influence breeding choices more than health concerns.

bioRxiv · Feb 25, 2020Pathology

Multiple retrospective analysis of survival and evaluation of cardiac death predictors in a population of dogs affected by degenerative mitral valve disease in ACVIM class C treated with different therapeutic protocols

M. BAGARDI, C. Locatelli, A. Zanaboni, A. Galizzi, D. Malchiodi, P. G. Brambilla

This paper retrospectively analyzes survival data and cardiac death predictors in dogs with ACVIM class C DMVD treated with different therapies, finding PH severity as a significant predictor.

bioRxiv · Jan 13, 2020Pathology