Diagnosing myasthenia gravis versus congenital myasthenia gravis in British Shorthair cats: A case study

This case study clarified and added criteria to the differential diagnosis between MC and CMS, allowing for more accurate prognostic evaluations and appropriate treatment planning. It also underscores the importance of genetic testing in British Shorthair cats to differentiate between these conditions.

Authors

Institutions

Publication Details

Journal
Journal of Biological Methods
Published
2025-04-21
DOI
https://doi.org/10.14440/jbm.2024.0129
Primary Topic
Myasthenia Gravis and Thymoma
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Diagnosing myasthenia gravis versus congenital myasthenia gravis in British Shorthair cats: A case study

Adriana Amfim, Maria Cartacuzencu
Journal of Biological Methods
Myasthenia Gravis and Thymoma
article

Diagnosing myasthenia gravis versus congenital myasthenia gravis in British Shorthair cats: A case study

Adriana Amfim, Maria Cartacuzencu
article en

Abstract

This case study clarified and added criteria to the differential diagnosis between MC and CMS, allowing for more accurate prognostic evaluations and appropriate treatment planning. It also underscores the importance of genetic testing in British Shorthair cats to differentiate between these conditions.

Journal of Biological MethodsVol. 12(2)
Spiru Haret University (RO), Clinical Emergency Hospital Bucharest (RO)
Good health and well-being
Openalex Percentile: Top 86%
Myasthenia Gravis and Thymoma
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.