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Minimal clinically important differences in the Edmonton Symptom Assessment Scale in cancer patients: A prospective, multicenter studyopen access

Authors
Hui, DavidShamieh, OmarPaiva, Carlos EduardoEmilio Perez-Cruz, PedroKwon, Jung HyeMuckaden, Mary AnnPark, MinjeongYennu, SriramKang, Jung HunBruera, Eduardo
Issue Date
1-Sep-2015
Publisher
WILEY-BLACKWELL
Keywords
neoplasms; outcome measures; pain; sample size; sensitivity and specificity; symptom assessment
Citation
CANCER, v.121, no.17, pp 3027 - 3035
Pages
9
Indexed
SCI
SCIE
SCOPUS
Journal Title
CANCER
Volume
121
Number
17
Start Page
3027
End Page
3035
URI
https://scholarworks.gnu.ac.kr/handle/sw.gnu/17022
DOI
10.1002/cncr.29437
ISSN
0008-543X
1097-0142
Abstract
BACKGROUNDThe Edmonton Symptom Assessment Scale (ESAS) is widely used for symptom assessment in clinical and research settings. A sensitivity-specificity approach was used to identify the minimal clinically important difference (MCID) for improvement and deterioration for each of the 10 ESAS symptoms. METHODSThis multicenter, prospective, longitudinal study enrolled patients with advanced cancer. ESAS was measured at the first clinic visit and at a second visit 3 weeks later. For each symptom, the Patient's Global Impression (better, about the same, or worse) was assessed at the second visit as the external criterion, and the MCID was determined on the basis of the optimal cutoff in the receiver operating characteristic (ROC) curve. A sensitivity analysis was conducted through the estimation of MCIDs with other approaches. RESULTSFor the 796 participants, the median duration between the 2 study visits was 21 days (interquartile range, 18-28 days). The area under the ROC curve varied from 0.70 to 0.87, and this suggested good responsiveness. For all 10 symptoms, the optimal cutoff was 1 point for improvement and -1 point for deterioration, with sensitivities of 59% to 85% and specificities of 69% to 85%. With other approaches, the MCIDs varied from 0.8 to 2.2 for improvement and from -0.8 to -2.3 for deterioration in the within-patient analysis, from 1.2 to 1.6 with the one-half standard deviation approach, and from 1.3 to 1.7 with the standard error of measurement approach. CONCLUSIONSESAS was responsive to change. The optimal cutoffs were 1 point for improvement and -1 point for deterioration for each of the 10 symptoms. Our findings have implications for sample size calculations and response determination. Cancer 2015;121:3027-3035. (c) 2015 American Cancer Society.
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