Your browser doesn't support javascript.
loading
Cancer pain assessment--can we predict the need for specialist input?
Fainsinger, Robin L; Nekolaichuk, Cheryl L.
Afiliación
  • Fainsinger RL; Division of Palliative Care Medicine, Department of Oncology, University of Alberta, Grey Nuns Hospital, 217-Health Services Centre, 1090 Youville Drive West, Edmonton, Alberta, Canada. Robin.Fainsinger@capitalhealth.ca
Eur J Cancer ; 44(8): 1072-7, 2008 May.
Article en En | MEDLINE | ID: mdl-18359219
ABSTRACT
We can anticipate that failure to assess cancer pain adequately will inevitably lead to inappropriate application of pain management options. However, it is not always standard practice to teach the limitations of the question 'How bad is the pain?', as well as the need to consider what may complicate pain management or be a poor prognostic factor for pain control. These issues may complicate cancer pain assessment and require specialist consultation. An internationally accepted classification system for cancer pain could provide the basis for a multidimensional assessment and a common language for clinical and research work. Research dating back to the late 1980s has resulted in the development of the Edmonton Classification System for Cancer Pain. This includes many of the factors that may be prognostic for the complexity of cancer pain management and can assist an inexperienced clinician in anticipating the need for specialist advice.
Asunto(s)

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Dolor / Dimensión del Dolor / Neoplasias Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Eur J Cancer Año: 2008 Tipo del documento: Article País de afiliación: Canadá

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Dolor / Dimensión del Dolor / Neoplasias Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Eur J Cancer Año: 2008 Tipo del documento: Article País de afiliación: Canadá