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Patient selection in palliative surgery: Defining value
Author(s) -
Cohen Joshua T.,
Miner Thomas J.
Publication year - 2019
Publication title -
journal of surgical oncology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.201
H-Index - 111
eISSN - 1096-9098
pISSN - 0022-4790
DOI - 10.1002/jso.25512
Subject(s) - medicine , selection (genetic algorithm) , palliative surgery , psychosocial , palliative care , complement (music) , value (mathematics) , intensive care medicine , general surgery , surgery , nursing , psychiatry , computer science , artificial intelligence , biochemistry , chemistry , complementation , machine learning , gene , phenotype
Proper patient selection for palliative surgery requires a challenging and often complex decision‐making process. Optimally, proposed palliative procedures must be undertaken with an intent to provide the greatest possible value to patients at the end of life. This review describes the process of patient selection and identifies psychosocial, biochemical, and functional markers that can complement sound surgical judgment.