Austrian treatment algorithms in HER2-positive metastatic breast cancer: a 2022 update.

Gabriel RinnerthalerChristian SingerEdgar PetruDaniel EgleAndreas PetzerUrsula PluschnigSimon Peter GampenriederGeorg PfeilerMichael GnantBirgit GrünbergerPeter KripplKathrin Strasser-WeipplChristoph SuppanChristine BrunnerRenate PuschMargit SandholzerMarija BalićRupert Bartsch

Published in: Wiener klinische Wochenschrift (2022)

In the past 12 months a plethora of relevant novel data for the treatment of metastatic HER2 positive breast cancer were published. To bring this new evidence into a clinical perspective, a group of Austrian breast cancer specialists updated their previously published treatment algorithm for those patients. For this consensus paper a total of eight scenarios were developed in which treatment strategies appropriate for specific patient profiles were evaluated. Consensus was established by detailed discussions of each scenario and by reaching full consensus.

Keyphrases

machine learning
positive breast cancer
squamous cell carcinoma
end stage renal disease
metastatic breast cancer
small cell lung cancer
randomized controlled trial
ejection fraction
clinical practice
newly diagnosed
climate change
peritoneal dialysis
big data
artificial intelligence