title: Algorithm for the treatment of major depression in patients with advanced cancer.
abstract: As disclosure of the truth gathers in acceptance, so does the importance of treating depression in cancer patients. Nevertheless, the choice of antidepressant tends only to be decided empirically and this is further complicated by the characteristics of advanced cancer, including: (i) a comparatively higher proportion of reactive and mild depression; (ii) frequent bowel obstruction and dysphagia; and (iii) high physical exhaustion. Therefore, we have developed an algorithm to guide the treatment of major depression in patients with advanced cancer based on psychopharmacological literature. This selects medication according to severity of depression and drug delivery route, while keeping methylphenidate as an option.
authors.affiliation: Psycho-Oncology Division, National Cancer Center Research Institute East, Kashiwa, Chiba, Japan.
authors.forename: T
authors.initials: T
authors.lastname: Nakano
authors.forename: A
authors.initials: A
authors.lastname: Kugaya
authors.forename: T
authors.initials: T
authors.lastname: Akechi
authors.forename: I
authors.initials: I
authors.lastname: Mikami
authors.forename: T
authors.initials: T
authors.lastname: Okuyama
authors.forename: H
authors.initials: H
authors.lastname: Okamura
authors.forename: Y
authors.initials: Y
authors.lastname: Uchitomi
mesh_terms: D000465:Algorithms; D000928:Antidepressive Agents / Q000008:administration & dosage* / Q000009:adverse effects; D003865:Major Depressive Disorder / Q000175:diagnosis / Q000188:drug therapy* / Q000523:psychology; D006801:Humans; D009369:Neoplasms / Q000523:psychology*; D010348:Patient Care Team; D012803:Sick Role; D014342:Truth Disclosure
chemical_list: D000928:Antidepressive Agents