BACKGROUND: Standardized approaches for assessing and classifying cancer pain are required to improve treatment of patients with complex pain profiles. The Edmonton Classification System for Cancer Pain (ECS-CP) offers a starting point for the evolution of a standardized international classification system for cancer pain and was introduced into multisite research initiatives of the European Palliative Care Research Collaborative (EPCRC). OBJECTIVES: The primary purpose of this study was to describe the prevalence of the five ECS-CP pain classification features: pain mechanism, incident pain, psychological distress, addictive behavior, and cognition--in a diverse international sample of patients with advanced cancer. METHODS: A total of 1070 adult patients with advanced cancer were recruited from 17 sites in Norway, the United Kingdom, Austria, Germany, Switzerland, Italy, Canada, and Australia; 1051 of 1070 patients were evaluable. A clinician completed the ECS-CP for each enrolled patient. Additional information, including pain intensity, were also collected through patient self-reports, using touch-sensitive computers. RESULTS: Of 1051 evaluable patients, 670 (64%) were assessed by a clinician as having cancer pain: nociceptive pain (n=534; 79.7%); neuropathic pain (n=113; 16.9%); incident pain (n=408; 60.9%); psychological distress (n=212; 31.6%); addictive behavior (n=30; 4.5%); normal cognition (n=616; 91.9%). The prevalence of ECS-CP features and pain intensity scores (11-item scale; 0=none, 10=worst; rated as now) varied substantially across sites and locations of care. CONCLUSION: The ECS-CP is a clinically relevant systematic framework, which is able to detect differences in salient pain classification features across diverse settings and countries. Further validation studies need to be conducted in varied advanced cancer and palliative care settings to advance the development of the ECS-CP toward an internationally recognized pain classification system.
BACKGROUND: Standardized approaches for assessing and classifying cancer pain are required to improve treatment of patients with complex pain profiles. The Edmonton Classification System for Cancer Pain (ECS-CP) offers a starting point for the evolution of a standardized international classification system for cancer pain and was introduced into multisite research initiatives of the European Palliative Care Research Collaborative (EPCRC). OBJECTIVES: The primary purpose of this study was to describe the prevalence of the five ECS-CPpain classification features: pain mechanism, incident pain, psychological distress, addictive behavior, and cognition--in a diverse international sample of patients with advanced cancer. METHODS: A total of 1070 adult patients with advanced cancer were recruited from 17 sites in Norway, the United Kingdom, Austria, Germany, Switzerland, Italy, Canada, and Australia; 1051 of 1070 patients were evaluable. A clinician completed the ECS-CP for each enrolled patient. Additional information, including pain intensity, were also collected through patient self-reports, using touch-sensitive computers. RESULTS: Of 1051 evaluable patients, 670 (64%) were assessed by a clinician as having cancer pain: nociceptive pain (n=534; 79.7%); neuropathic pain (n=113; 16.9%); incident pain (n=408; 60.9%); psychological distress (n=212; 31.6%); addictive behavior (n=30; 4.5%); normal cognition (n=616; 91.9%). The prevalence of ECS-CP features and pain intensity scores (11-item scale; 0=none, 10=worst; rated as now) varied substantially across sites and locations of care. CONCLUSION: The ECS-CP is a clinically relevant systematic framework, which is able to detect differences in salient pain classification features across diverse settings and countries. Further validation studies need to be conducted in varied advanced cancer and palliative care settings to advance the development of the ECS-CP toward an internationally recognized pain classification system.
Authors: Ragnhild Habberstad; M J Hjermstad; C Brunelli; S Kaasa; M I Bennett; K Pardon; P Klepstad Journal: Support Care Cancer Date: 2018-08-13 Impact factor: 3.603
Authors: Kimberson Tanco; Joseph Arthur; Ali Haider; Saneese Stephen; Sriram Yennu; Diane Liu; Eduardo Bruera Journal: Support Care Cancer Date: 2016-10-08 Impact factor: 3.603
Authors: Ragnhild Habberstad; Trude Camilla Salvesen Frøseth; Nina Aass; Tatiana Abramova; Theo Baas; Siri Tessem Mørkeset; Augusto Caraceni; Barry Laird; Jason W Boland; Romina Rossi; Elena Garcia-Alonso; Hanne Stensheim; Jon Håvard Loge; Marianne Jensen Hjermstad; Ellen Bjerkeset; Asta Bye; Jo-Åsmund Lund; Tora Skeidsvoll Solheim; Ola Magne Vagnildhaug; Cinzia Brunelli; Jan Kristian Damås; Tom Eirik Mollnes; Stein Kaasa; Pål Klepstad Journal: BMC Palliat Care Date: 2018-09-28 Impact factor: 3.234
Authors: Waldemar Siemens; Christopher Boehlke; Michael I Bennett; Klaus Offner; Gerhild Becker; Jan Gaertner Journal: Support Care Cancer Date: 2020-03-03 Impact factor: 3.603
Authors: Michael Harrison-Blount; Michelle Cullen; Christopher J Nester; Anita E Williams Journal: J Foot Ankle Res Date: 2015-09-16 Impact factor: 2.303