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      Cardiopulmonary-related patient-reported outcomes in a randomized clinical trial of radiation therapy for breast cancer

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          Abstract

          Background

          Long-term prospective patient-reported outcomes (PRO) after breast cancer adjuvant radiotherapy is scarce. TomoBreast compared conventional radiotherapy (CR) with tomotherapy (TT), on the hypothesis that TT might reduce lung-heart toxicity.

          Methods

          Among 123 women consenting to participate, 64 were randomized to CR, 59 to TT. CR delivered 50 Gy in 25 fractions/5 weeks to breast/chest wall and regional nodes if node-positive, with a sequential boost (16 Gy/8 fractions/1.6 weeks) after lumpectomy. TT delivered 42 Gy/15 fractions/3 weeks to breast/chest wall and regional nodes if node-positive, 51 Gy simultaneous-integrated-boost in patients with lumpectomy. PRO were assessed using the European Organization for Research and Treatment of Cancer questionnaire QLQ-C30. PRO scores were converted into a symptom-free scale, 100 indicating a fully symptom-free score, 0 indicating total loss of freedom from symptom. Changes of PRO over time were analyzed using the linear mixed-effect model. Survival analysis computed time to > 10% PRO-deterioration. A post-hoc cardiorespiratory outcome was defined as deterioration in any of dyspnea, fatigue, physical functioning, or pain.

          Results

          At 10.4 years median follow-up, patients returned on average 9 questionnaires/patient, providing a total of 1139 PRO records. Item completeness was 96.6%. Missingness did not differ between the randomization arms. The PRO at baseline were below the nominal 100% symptom-free score, notably the mean fatigue-free score was 64.8% vs. 69.6%, pain-free was 75.4% vs. 75.3%, and dyspnea-free was 84.8% vs. 88.5%, in the TT vs. CR arm, respectively, although the differences were not significant. By mixed-effect modeling on early ≤2 years assessment, all three scores deteriorated, significantly for fatigue, P ≤ 0.01, without effect of randomization arm. By modeling on late assessment beyond 2 years, TT versus CR was not significantly associated with changes of fatigue-free or pain-free scores but was associated with a significant 8.9% improvement of freedom from dyspnea, P = 0.035. By survival analysis of the time to PRO deterioration, TT improved 10-year survival free of cardiorespiratory deterioration from 66.9% with CR to 84.5% with TT, P = 0.029.

          Conclusion

          Modern radiation therapy can significantly improve long-term PRO.

          Trial registration

          Trial registration number ClinicalTrials.gov NCT00459628, April 12, 2007 prospectively.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s12885-021-08916-z.

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          Most cited references38

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          Fitting Linear Mixed-Effects Models Usinglme4

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            Cancer incidence and mortality worldwide: sources, methods and major patterns in GLOBOCAN 2012.

            Estimates of the worldwide incidence and mortality from 27 major cancers and for all cancers combined for 2012 are now available in the GLOBOCAN series of the International Agency for Research on Cancer. We review the sources and methods used in compiling the national cancer incidence and mortality estimates, and briefly describe the key results by cancer site and in 20 large "areas" of the world. Overall, there were 14.1 million new cases and 8.2 million deaths in 2012. The most commonly diagnosed cancers were lung (1.82 million), breast (1.67 million), and colorectal (1.36 million); the most common causes of cancer death were lung cancer (1.6 million deaths), liver cancer (745,000 deaths), and stomach cancer (723,000 deaths). © 2014 UICC.
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              Modeling Survival Data: Extending the Cox Model

              This is a book for statistical practitioners, particularly those who design and analyze studies for survival and event history data. Its goal is to extend the toolkit beyond the basic triad provided by most statistical packages: the Kaplan-Meier estimator, log-rank test, and Cox regression model. Building on recent developments motivated by counting process and martingale theory, it shows the reader how to extend the Cox model to analyse multiple/correlated event data using marginal and random effects (frailty) models. It covers the use of residuals and diagnostic plots to identify influential or outlying observations, assess proportional hazards and examine other aspects of goodness of fit. Other topics include time-dependent covariates and strata, discontinuous intervals of risk, multiple time scales, smoothing and regression splines, and the computation of expected survival curves. A knowledge of counting processes and martingales is not assumed as the early chapters provide an introduction to this area. The focus of the book is on actual data examples, the analysis and interpretation of the results, and computation. The methods are now readily available in SAS and S-Plus and this book gives a hands-on introduction, showing how to implement them in both packages, with worked examples for many data sets. The authors call on their extensive experience and give practical advice, including pitfalls to be avoided. Terry Therneau is Head of the Section of Biostatistics, Mayo Clinic, Rochester, Minnesota. He is actively involved in medical consulting, with emphasis in the areas of chronic liver disease, physical medicine, hematology, and laboratory medicine, and is an author on numerous papers in medical and statistical journals. He wrote two of the original SAS procedures for survival analysis (coxregr and survtest), as well as the majority of the S-Plus survival functions. Patricia Grambsch is Associate Professor in the Division of Biostatistics, School of Public Health, University of Minnesota. She has collaborated extensively with physicians and public health researchers in chronic liver disease, cancer prevention, hypertension clinical trials and psychiatric research. She is a fellow the American Statistical Association and the author of many papers in medical and statistical journals.
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                Author and article information

                Contributors
                vh@onco.be , anhxang@gmail.com
                Journal
                BMC Cancer
                BMC Cancer
                BMC Cancer
                BioMed Central (London )
                1471-2407
                4 November 2021
                4 November 2021
                2021
                : 21
                : 1177
                Affiliations
                [1 ]GRID grid.411326.3, ISNI 0000 0004 0626 3362, Universitair Ziekenhuis Brussel, Vrije Universiteit Brussel, ; 101 Laarbeeklaan, 1090 Brussels, Belgium
                [2 ]GRID grid.412874.c, Centre Hospitalier Universitaire (CHU) de Martinique, ; Fort-de-France, France
                [3 ]GRID grid.261331.4, ISNI 0000 0001 2285 7943, Ohio State University, ; Columbus, OH USA
                [4 ]GRID grid.444808.4, ISNI 0000 0001 2037 434X, School of Medicine, , Vietnam National University, ; Ho Chi Minh City, Vietnam
                [5 ]GRID grid.257127.4, ISNI 0000 0001 0547 4545, Howard University, ; Washington, DC USA
                [6 ]GRID grid.467086.b, Ukrainian Military Medical Academy, ; Kiev, Ukraine
                Author information
                http://orcid.org/0000-0002-6403-6120
                Article
                8916
                10.1186/s12885-021-08916-z
                8569957
                34736429
                1f8f3598-59de-4c45-bff0-3624473764e7
                © The Author(s) 2021

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data.

                History
                : 15 September 2021
                : 26 October 2021
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100005026, stichting tegen kanker;
                Award ID: SCIE2006-30
                Award Recipient :
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2021

                Oncology & Radiotherapy
                quality of life,patient reported outcome measures,dyspnea,fatigue,pain
                Oncology & Radiotherapy
                quality of life, patient reported outcome measures, dyspnea, fatigue, pain

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