Transformation of the National Breast Cancer Guideline Into Data-Driven Clinical Decision Trees.

PURPOSE: The essence of guideline recommendations often is intertwined in large texts. This impedes clinical implementation and evaluation and delays timely modular revisions needed to deal with an ever-growing amount of knowledge and application of personalized medicine. The aim of this project was to model guideline recommendations as data-driven clinical decision trees (CDTs) that are clinically interpretable and suitable for implementation in decision support systems. METHODS: All recommendations of the Dutch national breast cancer guideline for nonmetastatic breast cancer were translated into CDTs. CDTs were constructed by nodes, branches, and leaves that represent data items (patient and tumor characteristics [eg, T stage]), data item values (eg, T2 or less), and recommendations (eg, chemotherapy), respectively. For all data items, source of origin was identified (eg, pathology), and where applicable, data item values were defined on the basis of existing classification and coding systems (eg, TNM, Breast Imaging Reporting and Data System, Systematized Nomenclature of Medicine). All unique routes through all CDTs were counted to measure the degree of data-based personalization of recommendations. RESULTS: In total, 60 CDTs were necessary to cover the whole guideline and were driven by 114 data items. Data items originated from pathology (49%), radiology (27%), clinical (12%), and multidisciplinary team (12%) reports. Of all data items, 101 (89%) could be classified by existing classification and coding systems. All 60 CDTs could be integrated in an interactive decision support app that contained 376 unique patient subpopulations. CONCLUSION: By defining data items unambiguously and unequivocally and coding them to an international coding system, it was possible to present a complex guideline as systematically constructed modular data-driven CDTs that are clinically interpretable and accessible in a decision support app.

Assessment and management of bone health in women with early breast cancer receiving endocrine treatment in the DATA study.

The phase III DATA study investigates the efficacy of adjuvant anastrozole (6 vs. 3 year) in postmenopausal women with breast cancer previously treated with 2-3 years of tamoxifen. This planned side-study assessed patterns of care regarding detection and treatment of osteopenia/osteoporosis, and trends in bone mineral density (BMD) during and after therapy. We registered all BMD measurements and bisphosphonate-use. Time to osteopenia/osteoporosis was analysed by Kaplan Meier methodology. For the trend in T-scores we used linear mixed models with random patients effects. Of 1860 eligible DATA patients, 910 (48.9%) had a baseline BMD measurement. Among patients with a normal baseline BMD (n = 417), osteopenia was observed in 53.5% and 55.4% in the 6- and 3-year group respectively (p = 0.18), during follow-up. Only two patients (3-year group) developed osteoporosis. Of the patients with osteopenia at baseline (n = 408), 24.4% and 20.4% developed osteoporosis respectively (p = 0.89). Three years after randomisation 18.3% and 18.2% used bisphosphonates in the 6- and 3-year groups respectively and 6 years after randomisation this was 23.7% and 20.9% respectively (p = 0.90) of which the majority used oral bisphosphonates. The yearly mean BMD-change during anastrozole in the lumbar spine showed a T-score decline of 0.075. After bisphosphonate addition the decline became less prominent (0.047 (p < 0.001)) and after anastrozole cessation, while continuing bisphosphonates, the mean BMD yearly increased (0.047 (p < 0.001)). In conclusion, extended anastrozole therapy was not associated with a higher incidence of osteoporosis. Anastrozole-use was associated with a BMD decrease; however, the decline was modest and partially reversible after anastrozole cessation.

Patient-reported outcome assessment and objective evaluation of chemotherapy-induced alopecia.

PURPOSE: Alopecia is one of the most distressing side effects of chemotherapy. Evaluating and comparing the efficacy of potential therapies to prevent chemotherapy-induced alopecia (CIA) has been complicated by the lack of a standardized measurement for hair loss. In this study we investigated the correlation between patient-reported outcome assessments and quantitative measurement with the hair check to assess CIA in clinical practice. METHOD: Scalp cooling efficacy was evaluated by patients by World Health Organisation (WHO) of CIA, Visual Analogue Scale (VAS) and wig use. The Hair Check was used to determine the amount of hair (in mm2) per unit of scalp skin area (in cm2) (Hair Mass Index, HMI). CIA was also evaluated by doctors, nurses and hairdressers. RESULTS: Baseline HMI was not predictive for hair loss. HMI declined throughout all chemotherapy cycles, which was not reflected by patient-reported measures. HMI correlated with patient-reported hair quantity before the start of the therapy, but not with WHO and/or VAS during therapy. Patient's opinion correlated moderately with the opinion of doctors and nurses (ρ = 0.50-0.56 respectively), but strongly with hair dressers (ρ = 0.70). CONCLUSIONS: The Hair check is suitable to quantify the amount of hair loss and could complement research on refining outcome of scalp cooling, but the patient's opinion should be considered as the best method to assess hair loss in clinical practice. TRIAL REGISTRATION: Trialregister.nl NTR number 3082.

Frailty screening methods for predicting outcome of a comprehensive geriatric assessment in elderly patients with cancer: a systematic review.

Comprehensive geriatric assessment (CGA) is done to detect vulnerability in elderly patients with cancer so that treatment can be adjusted accordingly; however, this process is time-consuming and pre-screening is often used to identify fit patients who are able to receive standard treatment versus those in whom a full CGA should be done. We aimed to assess which of the frailty screening methods available show the best sensitivity and specificity for predicting the presence of impairments on CGA in elderly patients with cancer. We did a systematic search of Medline and Embase, and a hand-search of conference abstracts, for studies on the association between frailty screening outcome and results of CGA in elderly patients with cancer. Our search identified 4440 reports, of which 22 publications from 14 studies, were included in this Review. Seven different frailty screening methods were assessed. The median sensitivity and specificity of each screening method for predicting frailty on CGA were as follows: Vulnerable Elders Survey-13 (VES-13), 68% and 78%; Geriatric 8 (G8), 87% and 61%; Triage Risk Screening Tool (TRST 1+; patient considered frail if one or more impairments present), 92% and 47%, Groningen Frailty Index (GFI) 57% and 86%, Fried frailty criteria 31% and 91%, Barber 59% and 79%, and abbreviated CGA (aCGA) 51% and 97%. However, even in case of the highest sensitivity, the negative predictive value was only roughly 60%. G8 and TRST 1+ had the highest sensitivity for frailty, but both had poor specificity and negative predictive value. These findings suggest that, for now, it might be beneficial for all elderly patients with cancer to receive a complete geriatric assessment, since available frailty screening methods have insufficient discriminative power to select patients for further assessment.

The value of a comprehensive geriatric assessment for patient care in acutely hospitalized older patients with cancer.

INTRODUCTION: A comprehensive geriatric assessment systematically collects information on geriatric conditions and is propagated in oncology as a useful tool when assessing older cancer patients. OBJECTIVES: The objectives were: (a) to study the prevalence of geriatric conditions in cancer patients aged ≥ 65 years, acutely admitted to a general medicine ward; (b) to determine functional decline and mortality within 12 months after admission; and (c) to assess which geriatric conditions and cancer-related variables are associated with 12-month mortality. METHODS: This was an observational cohort study of 292 cancer patients aged ≥ 65 years, acutely admitted to the general medicine and oncology wards of two university hospitals and one secondary teaching hospital. Baseline assessments included patient characteristics, reason for admission, comorbidity, and geriatric conditions. Follow-up at 3 and 12 months was aimed at functional decline (loss of one or more activities of daily living [ADL]) and mortality. RESULTS: The median patient age was 74.9 years, and 95% lived independently; 126 patients (43%) had metastatic disease. A high prevalence of geriatric conditions was found for instrumental ADL impairment (78%), depressive symptoms (65%), pain (65%), impaired mobility (48%), malnutrition (46%), and ADL impairment (38%). Functional decline was observed in 8% and 33% of patients at 3 and 12 months, respectively. Mortality rates were 38% at 3 months and 64% at 12 months. Mortality was associated with cancer-related factors only. CONCLUSION: In these acutely hospitalized older cancer patients, mortality was only associated with cancer-related factors. The prevalence of geriatric conditions in this population was high. Future research is needed to elucidate if addressing these conditions can improve quality of life.