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Patient-reported pain and other quality of life domains as prognostic factors for survival in a phase III clinical trial of patients with advanced breast cancer
BACKGROUND: Patient-reported outcomes have been associated with survival in numerous studies across cancer types, including breast cancer. However, the Brief Pain Inventory-Short Form (BPI-SF) and the Rotterdam Symptom Checklist (RSCL) have rarely been investigated in this regard in breast cancer. M...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4807577/ https://www.ncbi.nlm.nih.gov/pubmed/27016084 http://dx.doi.org/10.1186/s12955-016-0449-z |
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author | Smyth, Emily Nash Shen, Wei Bowman, Lee Peterson, Patrick John, William Melemed, Allen Liepa, Astra M. |
author_facet | Smyth, Emily Nash Shen, Wei Bowman, Lee Peterson, Patrick John, William Melemed, Allen Liepa, Astra M. |
author_sort | Smyth, Emily Nash |
collection | PubMed |
description | BACKGROUND: Patient-reported outcomes have been associated with survival in numerous studies across cancer types, including breast cancer. However, the Brief Pain Inventory-Short Form (BPI-SF) and the Rotterdam Symptom Checklist (RSCL) have rarely been investigated in this regard in breast cancer. METHODS: Here we describe a post hoc analysis of the prognostic effect of baseline scores of these instruments on survival in a phase III trial of patients with advanced breast cancer who received gemcitabine plus paclitaxel or paclitaxel alone after anthracycline-based adjuvant or neoadjuvant therapy. The variables for this analysis were baseline BPI-SF “worst pain” and BPI-SF “pain interference” scores, and four RSCL subscales (each transformed to 0–100). Univariate and multivariate Cox models were used, the latter in the presence of 11 demographic/clinical variables. Kaplan-Meier curves and log-rank tests were used to compare survival for patients by BPI-SF or RSCL scores. RESULTS: Of 529 randomized patients, 286 provided BPI-SF data and 336 provided RSCL data at baseline. Univariate analyses identified BPI-SF worst pain and pain interference (both hazard ratios [HR], 1.07 for a 1-point increase; both p ≤ 0.0061) and three of four RSCL subscales [activity level, physical distress, and health-related quality of life (HRQOL) (HR, 0.86–0.91 for 10-point increase all p ≤ 0.0104)], to have significant prognostic effect for survival. BPI-SF worst pain (p = 0.0342) and RSCL activity level (p = 0.0004) were prognostic in the multivariate analysis. Median survival for patients categorized by BPI-SF worst pain score was 23.8 (n = 91), 17.9 (n = 94) and 14.6 (n = 94) months for scores 0, 1–4, and 5–10, respectively (log-rank p = 0.0065). Median survival was 23.8 and 14.6 months for patients (n = 330) with above- and below-median RSCL activity level scores respectively (log-rank p < 0.0001). CONCLUSION: Pretreatment BPI-SF worst pain and RSCL activity scores provide distinct prognostic information for survival in patients receiving paclitaxel or gemcitabine plus paclitaxel for advanced breast cancer even after controlling for multiple demographic and clinical factors. TRIAL REGISTRATION: Clinicaltrials.gov, NCT00006459. |
format | Online Article Text |
id | pubmed-4807577 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-48075772016-03-25 Patient-reported pain and other quality of life domains as prognostic factors for survival in a phase III clinical trial of patients with advanced breast cancer Smyth, Emily Nash Shen, Wei Bowman, Lee Peterson, Patrick John, William Melemed, Allen Liepa, Astra M. Health Qual Life Outcomes Research BACKGROUND: Patient-reported outcomes have been associated with survival in numerous studies across cancer types, including breast cancer. However, the Brief Pain Inventory-Short Form (BPI-SF) and the Rotterdam Symptom Checklist (RSCL) have rarely been investigated in this regard in breast cancer. METHODS: Here we describe a post hoc analysis of the prognostic effect of baseline scores of these instruments on survival in a phase III trial of patients with advanced breast cancer who received gemcitabine plus paclitaxel or paclitaxel alone after anthracycline-based adjuvant or neoadjuvant therapy. The variables for this analysis were baseline BPI-SF “worst pain” and BPI-SF “pain interference” scores, and four RSCL subscales (each transformed to 0–100). Univariate and multivariate Cox models were used, the latter in the presence of 11 demographic/clinical variables. Kaplan-Meier curves and log-rank tests were used to compare survival for patients by BPI-SF or RSCL scores. RESULTS: Of 529 randomized patients, 286 provided BPI-SF data and 336 provided RSCL data at baseline. Univariate analyses identified BPI-SF worst pain and pain interference (both hazard ratios [HR], 1.07 for a 1-point increase; both p ≤ 0.0061) and three of four RSCL subscales [activity level, physical distress, and health-related quality of life (HRQOL) (HR, 0.86–0.91 for 10-point increase all p ≤ 0.0104)], to have significant prognostic effect for survival. BPI-SF worst pain (p = 0.0342) and RSCL activity level (p = 0.0004) were prognostic in the multivariate analysis. Median survival for patients categorized by BPI-SF worst pain score was 23.8 (n = 91), 17.9 (n = 94) and 14.6 (n = 94) months for scores 0, 1–4, and 5–10, respectively (log-rank p = 0.0065). Median survival was 23.8 and 14.6 months for patients (n = 330) with above- and below-median RSCL activity level scores respectively (log-rank p < 0.0001). CONCLUSION: Pretreatment BPI-SF worst pain and RSCL activity scores provide distinct prognostic information for survival in patients receiving paclitaxel or gemcitabine plus paclitaxel for advanced breast cancer even after controlling for multiple demographic and clinical factors. TRIAL REGISTRATION: Clinicaltrials.gov, NCT00006459. BioMed Central 2016-03-25 /pmc/articles/PMC4807577/ /pubmed/27016084 http://dx.doi.org/10.1186/s12955-016-0449-z Text en © Smyth et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Smyth, Emily Nash Shen, Wei Bowman, Lee Peterson, Patrick John, William Melemed, Allen Liepa, Astra M. Patient-reported pain and other quality of life domains as prognostic factors for survival in a phase III clinical trial of patients with advanced breast cancer |
title | Patient-reported pain and other quality of life domains as prognostic factors for survival in a phase III clinical trial of patients with advanced breast cancer |
title_full | Patient-reported pain and other quality of life domains as prognostic factors for survival in a phase III clinical trial of patients with advanced breast cancer |
title_fullStr | Patient-reported pain and other quality of life domains as prognostic factors for survival in a phase III clinical trial of patients with advanced breast cancer |
title_full_unstemmed | Patient-reported pain and other quality of life domains as prognostic factors for survival in a phase III clinical trial of patients with advanced breast cancer |
title_short | Patient-reported pain and other quality of life domains as prognostic factors for survival in a phase III clinical trial of patients with advanced breast cancer |
title_sort | patient-reported pain and other quality of life domains as prognostic factors for survival in a phase iii clinical trial of patients with advanced breast cancer |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4807577/ https://www.ncbi.nlm.nih.gov/pubmed/27016084 http://dx.doi.org/10.1186/s12955-016-0449-z |
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