PURPOSE: To construct empirically a conversion table to convert performance status scores among the Eastern Cooperative Oncology Group (ECOG), Karnofsky Performance Status (KPS) and Palliative Performance Scale (PPS) measures, using a large sample of patients with advanced cancer. METHODS: Seven physicians completed assessments on 1385 consecutive patients attending an oncology palliative care clinic, or admitted to an acute cancer palliative care unit. The three measures were distributed as a questionnaire package; the order in which they were presented was randomly assigned for each week. Scales were compared using the hit rate and the weighted kappa coefficient (κ(w)). The KPS and PPS were compared directly; for comparisons of either scale with the ECOG, all 70 possible categorisations of KPS and PPS were computed. An 'ideal' categorisation was selected based on maximisation of both statistical methods. RESULTS: The KPS and PPS matched in 1209 out of 1385 assessments (hit rate 87%; κ(w) 0.97). For both the KPS and the PPS, the categorisation of 100 (ECOG 0), 80-90 (1), 60-70 (2), 40-50 (3), 10-30 (4) had the highest hit rate (75%), and the second highest κ(w) (0.84, p<0.0001). One other combination had a slightly higher κ(w) (0.85 for both KPS and PPS), but a lower hit rate (73% for KPS, 72% for PPS). CONCLUSIONS: We have derived empirically a conversion scale among the ECOG, KPS and PPS scales. The proposed scale provides a means of translating amongst these measures, which may improve accuracy of communication about performance status amongst oncology clinicians and researchers.
RCT Entities:
PURPOSE: To construct empirically a conversion table to convert performance status scores among the Eastern Cooperative Oncology Group (ECOG), Karnofsky Performance Status (KPS) and Palliative Performance Scale (PPS) measures, using a large sample of patients with advanced cancer. METHODS: Seven physicians completed assessments on 1385 consecutive patients attending an oncology palliative care clinic, or admitted to an acute cancer palliative care unit. The three measures were distributed as a questionnaire package; the order in which they were presented was randomly assigned for each week. Scales were compared using the hit rate and the weighted kappa coefficient (κ(w)). The KPS and PPS were compared directly; for comparisons of either scale with the ECOG, all 70 possible categorisations of KPS and PPS were computed. An 'ideal' categorisation was selected based on maximisation of both statistical methods. RESULTS: The KPS and PPS matched in 1209 out of 1385 assessments (hit rate 87%; κ(w) 0.97). For both the KPS and the PPS, the categorisation of 100 (ECOG 0), 80-90 (1), 60-70 (2), 40-50 (3), 10-30 (4) had the highest hit rate (75%), and the second highest κ(w) (0.84, p<0.0001). One other combination had a slightly higher κ(w) (0.85 for both KPS and PPS), but a lower hit rate (73% for KPS, 72% for PPS). CONCLUSIONS: We have derived empirically a conversion scale among the ECOG, KPS and PPS scales. The proposed scale provides a means of translating amongst these measures, which may improve accuracy of communication about performance status amongst oncology clinicians and researchers.
Authors: Davendra P S Sohal; Pamela B Mangu; Alok A Khorana; Manish A Shah; Philip A Philip; Eileen M O'Reilly; Hope E Uronis; Ramesh K Ramanathan; Christopher H Crane; Anitra Engebretson; Joseph T Ruggiero; Mehmet S Copur; Michelle Lau; Susan Urba; Daniel Laheru Journal: J Clin Oncol Date: 2016-05-31 Impact factor: 44.544
Authors: Josep Tabernero; E Gabriela Chiorean; Jeffrey R Infante; Sunil R Hingorani; Vinod Ganju; Colin Weekes; Werner Scheithauer; Ramesh K Ramanathan; David Goldstein; Darryl N Penenberg; Alfredo Romano; Stefano Ferrara; Daniel D Von Hoff Journal: Oncologist Date: 2015-01-12
Authors: Sonali Rudra; Amol K Narang; Timothy M Pawlik; Hao Wang; Elizabeth M Jaffee; Lei Zheng; Dung T Le; David Cosgrove; Ralph H Hruban; Elliot K Fishman; Richard Tuli; Daniel A Laheru; Christopher L Wolfgang; Luis A Diaz; Joseph M Herman Journal: Pract Radiat Oncol Date: 2012
Authors: Filipa Lynce; Matthew J Blackburn; Ling Cai; Heping Wang; Larry Rubinstein; Pamela Harris; Claudine Isaacs; Paula R Pohlmann Journal: Breast Cancer Res Treat Date: 2017-11-08 Impact factor: 4.872