Digital phenotyping in young breast cancer patients treated with neoadjuvant chemotherapy (the NeoFit Trial): protocol for a national, multicenter single-arm trial

[1]  L. Esserman,et al.  Residual cancer burden after neoadjuvant chemotherapy and long-term survival outcomes in breast cancer: a multicentre pooled analysis of 5161 patients , 2021, The Lancet. Oncology.

[2]  Gian Marco Revel,et al.  Smartwatches selection: market analysis and metrological characterization on the measurement of number of steps , 2021, 2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA).

[3]  Dylan S. Small,et al.  Effect of Behaviorally Designed Gamification With Social Incentives on Lifestyle Modification Among Adults With Uncontrolled Diabetes , 2021, JAMA network open.

[4]  N. Harbeck,et al.  Congruence and trajectories of device-measured and self-reported physical activity during therapy for early breast cancer , 2021, Breast Cancer Research and Treatment.

[5]  B. Fervers,et al.  Patterns of Sequelae in Women with a History of Localized Breast Cancer: Results from the French VICAN Survey , 2021, Cancers.

[6]  G. Ginsburg,et al.  Digital Health-The Need to Assess Benefits, Risks, and Value. , 2020, JAMA.

[7]  Jukka-Pekka Onnela,et al.  Opportunities and challenges in the collection and analysis of digital phenotyping data , 2020, Neuropsychopharmacology.

[8]  R. Matkowski,et al.  Does Breast Cancer Increasingly Affect Younger Women? , 2020, International journal of environmental research and public health.

[9]  Kelly Caine,et al.  Evaluation framework for selecting wearable activity monitors for research. , 2020, mHealth.

[10]  Bo Xie,et al.  The potential of digital phenotyping to advance the contributions of mobile health to self-management science. , 2020, Nursing outlook.

[11]  K. Gelmon,et al.  ESO-ESMO 4rd International Consensus Guidelines for Breast Cancer in Young Women (BCY4). , 2020, Annals of oncology : official journal of the European Society for Medical Oncology.

[12]  A. Galpin,et al.  Exploring Strategies for Using Social Media to Self-Manage Health Care When Living With and Beyond Breast Cancer: In-Depth Qualitative Study , 2020, Journal of medical Internet research.

[13]  S. Jebb,et al.  Why do people stop weighing themselves? An observational analysis of weight and physical activity tracking , 2020 .

[14]  Dylan S. Small,et al.  Effectiveness of Behaviorally Designed Gamification Interventions With Social Incentives for Increasing Physical Activity Among Overweight and Obese Adults Across the United States: The STEP UP Randomized Clinical Trial. , 2019, JAMA internal medicine.

[15]  C. Lohrisch,et al.  Impact of pathologic complete response on survival after neoadjuvant chemotherapy in early-stage breast cancer: a population-based analysis , 2019, Journal of Cancer Research and Clinical Oncology.

[16]  A. Goldhirsch,et al.  Fertility concerns, preservation strategies and quality of life in young women with breast cancer: Baseline results from an ongoing prospective cohort study in selected European Centers. , 2019, Breast.

[17]  A. Haynes,et al.  Redefining shared decision-making in the digital era. , 2019, European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology.

[18]  F. Reyal,et al.  Neoadjuvant treatment for intermediate/high-risk HER2-positive and triple-negative breast cancers: no longer an ‘option’ but an ethical obligation , 2019, ESMO Open.

[19]  S. Triberti,et al.  eHealth for improving quality of life in breast cancer patients: A systematic review. , 2019, Cancer treatment reviews.

[20]  M. Westerman,et al.  A longitudinal mixed methods study on changes in body weight, body composition, and lifestyle in breast cancer patients during chemotherapy and in a comparison group of women without cancer: study protocol , 2019, BMC Cancer.

[21]  S. Steinhubl,et al.  Advanced and Accurate Mobile Health Tracking Devices Record New Cardiac Vital Signs , 2018, Hypertension.

[22]  Krishnaprasad Thirunarayan,et al.  “How Is My Child’s Asthma?” Digital Phenotype and Actionable Insights for Pediatric Asthma , 2018, JMIR pediatrics and parenting.

[23]  J. Broderick,et al.  The use of eHealth to promote physical activity in cancer survivors: a systematic review , 2018, Supportive Care in Cancer.

[24]  M. Piccart,et al.  Neoadjuvant treatment: the future of patients with breast cancer , 2018, ESMO Open.

[25]  Alessandro Blasimme,et al.  Big Data and Dementia: Charting the Route Ahead for Research, Ethics, and Policy , 2018, Front. Med..

[26]  Mike Clarke,et al.  Long-term outcomes for neoadjuvant versus adjuvant chemotherapy in early breast cancer: meta-analysis of individual patient data from ten randomised trials , 2018, The Lancet. Oncology.

[27]  Publisher's Note , 2018, Anaesthesia.

[28]  H. Tsunoda,et al.  Discrepancies Between Pathological Tumor Responses and Estimations of Complete Response by Magnetic Resonance Imaging After Neoadjuvant Chemotherapy Differ by Breast Cancer Subtype , 2017, Clinical breast cancer.

[29]  A. Bottomley,et al.  International Psychometric Validation of an EORTC Quality of Life Module Measuring Cancer Related Fatigue (EORTC QLQ-FA12) , 2017, Journal of the National Cancer Institute.

[30]  Nancy Breen,et al.  Big Data Science: Opportunities and Challenges to Address Minority Health and Health Disparities in the 21st Century. , 2017, Ethnicity & disease.

[31]  M. Keshavan,et al.  New dimensions and new tools to realize the potential of RDoC: digital phenotyping via smartphones and connected devices , 2017, Translational Psychiatry.

[32]  Tânia Brusque Crocetta,et al.  Heart rate variability measure in breast cancer patients and survivors: A systematic review , 2016, Psychoneuroendocrinology.

[33]  D. Niedzwiecki,et al.  Big Data, Small Effects. , 2016, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[34]  Takuji Iwase,et al.  Accuracy of magnetic resonance imaging for predicting pathological complete response of breast cancer after neoadjuvant chemotherapy: association with breast cancer subtype , 2016, SpringerPlus.

[35]  M. Hilbert,et al.  Big Data for Development: A Review of Promises and Challenges , 2016 .

[36]  G. Godin,et al.  The use of the Godin-Shephard Leisure-Time Physical Activity Questionnaire in oncology research: a systematic review , 2015, BMC Medical Research Methodology.

[37]  B. Fervers,et al.  Deterioration of Physical Activity Level and Metabolic Risk Factors After Early-Stage Breast Cancer Diagnosis , 2015, Cancer nursing.

[38]  A. Nevill,et al.  Physical activity, risk of death and recurrence in breast cancer survivors: A systematic review and meta-analysis of epidemiological studies , 2015, Acta oncologica.

[39]  L. K. Bartholomew,et al.  Taking the next step: a systematic review and meta-analysis of physical activity and behavior change interventions in recent post-treatment breast cancer survivors , 2015, Breast Cancer Research and Treatment.

[40]  D. Bates,et al.  Big data in health care: using analytics to identify and manage high-risk and high-cost patients. , 2014, Health affairs.

[41]  Rosalie A. Torres Stone,et al.  Adult Willingness to Use Email and Social Media for Peer-to-Peer Cancer Screening Communication: Quantitative Interview Study , 2013, JMIR research protocols.

[42]  Petra Macaskill,et al.  Meta-analysis of the association of breast cancer subtype and pathologic complete response to neoadjuvant chemotherapy. , 2012, European journal of cancer.

[43]  E. Ibrahim,et al.  Physical activity and survival after breast cancer diagnosis: meta-analysis of published studies , 2011, Medical oncology.

[44]  R. Arriagada,et al.  Relation of risk of contralateral breast cancer to the interval since the first primary tumour , 2009, British Journal of Cancer.

[45]  M. Irwin.  Physical activity interventions for cancer survivors , 2008, British Journal of Sports Medicine.

[46]  J. A. van der Hage,et al.  Neoadjuvant chemotherapy for operable breast cancer , 2007, The British journal of surgery.

[47]  Graham A. Colditz,et al.  Physical activity and survival after breast cancer diagnosis , 2005 .

[48]  M. Ernst,et al.  Trends in survival of patients with metastatic breast cancer. , 2005, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[49]  J. Ioannidis,et al.  Neoadjuvant versus adjuvant systemic treatment in breast cancer: a meta-analysis. , 2005, Journal of the National Cancer Institute.

[50]  G. Colditz,et al.  Functional impact of breast cancer by age at diagnosis. , 2004, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[51]  P. Ganz,et al.  Breast cancer in younger women: reproductive and late health effects of treatment. , 2003, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[52]  P. Fayers,et al.  A 12 country field study of the EORTC QLQ-C30 (version 3.0) and the head and neck cancer specific module (EORTC QLQ-H&N35) in head and neck patients. EORTC Quality of Life Group. , 2000, European journal of cancer.

[53]  P. Ganz,et al.  Fatigue in breast cancer survivors: occurrence, correlates, and impact on quality of life. , 2000, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[54]  R. Shephard,et al.  A simple method to assess exercise behavior in the community. , 1969, Canadian journal of applied sport sciences. Journal canadien des sciences appliquees au sport.

[55]  Matthew P Buman,et al.  Wearable Technology and Physical Activity in Chronic Disease: Opportunities and Challenges. , 2018, American journal of preventive medicine.

[56]  H. Bartsch,et al.  International Agency for Research on Cancer. , 1969, WHO chronicle.