Citations

Purpose To assist in determining barriers to an oncology career incorporating cancer prevention, the American Society of Clinical Oncology (ASCO) Cancer Prevention Workforce Pipeline Work Group sponsored surveys of training program directors and oncology fellows. Methods Separate surveys with parallel questions were administered to training program directors at their fall 2013 retreat and to oncology fellows as part of their February 2014 in-training examination survey. Forty-seven (67%) of 70 training directors and 1,306 (80%) of 1,634 oncology fellows taking the in-training examination survey answered questions. Results Training directors estimated that ≤ 10% of fellows starting an academic career or entering private practice would have a career focus in cancer prevention. Only 15% of fellows indicated they would likely be interested in cancer prevention as a career focus, although only 12% thought prevention was unimportant relative to treatment. Top fellow-listed barriers to an academic career were difficulty in obtaining funding and lower compensation. Additional barriers to an academic career with a prevention focus included unclear career model, lack of clinical mentors, lack of clinical training opportunities, and concerns about reimbursement. Conclusion Reluctance to incorporate cancer prevention into an oncology career seems to stem from lack of mentors and exposure during training, unclear career path, and uncertainty regarding reimbursement. Suggested approaches to begin to remedy this problem include: 1) more ASCO-led and other prevention educational resources for fellows, training directors, and practicing oncologists; 2) an increase in funded training and clinical research opportunities, including reintroduction of the R25T award; 3) an increase in the prevention content of accrediting examinations for clinical oncologists; and 4) interaction with policymakers to broaden the scope and depth of reimbursement for prevention counseling and intervention services.

BACKGROUNDWomen with benign breast disease (BBD) have an increased risk of developing breast cancer (BC). Nearly 30% of all BCs develop in women with prior BBD. Information regarding features of the expected number of BCs after BBD would enhance individualized surveillance and prevention strategies for these women. In the current study, the authors sought to characterize BCs developing in a large cohort of women with BBD.METHODSThe current study cohort included 13,485 women who underwent breast biopsy for mammographic or palpable concerns between 1967 and 2001. Biopsy slides were reviewed and classified as nonproliferative disease, proliferative disease without atypia, or atypical hyperplasia. BCs were identified by follow‐up questionnaires, medical records, and Tumor Registry data. BC tissues were obtained and reviewed.RESULTSWith median follow‐up of 15.8 years, 1273 women developed BC. The majority of BCs were invasive (81%), of which 61% were ductal, 13% were mixed ductal/lobular, and 14% were lobular. Approximately two‐thirds of the BC cases were intermediate or high grade, and 29% were lymph node positive. Cancer characteristics were similar across the 3 histologic categories of BBD, with a similar frequency of ductal carcinoma in situ, invasive disease, tumor size, time to invasive BC, histologic type of BC, lymph node positivity, and human epidermal growth factor receptor 2 positivity. Women with atypical hyperplasia were found to have a higher frequency of estrogen receptor‐positive BC (91%) compared with women with proliferative disease without atypia (80%) or nonproliferative disease (85%) (P = .02).CONCLUSIONSA substantial percentage of all BCs develop in women with prior BBD. The majority of BCs after BBD are invasive tumors of ductal type, with a substantial number demonstrating lymph node positivity. Of all the BCs in the current study, 84% were estrogen receptor positive. Prevention therapy should be strongly encouraged in higher‐risk women with BBD. Cancer 2016;122:378–385. © 2015 American Cancer Society.

Abstract Therapy for polymyalgia rheumatica (PMR) varies widely in clinical practice as international recommendations for PMR treatment are not currently available. In this paper, we report the 2015 European League Against Rheumatism (EULAR)/American College of Rheumatology (ACR) recommendations for the management of PMR. We used the Grading of Recommendations, Assessment, Development and Evaluation (GRADE) methodology as a framework for the project. Accordingly, the direction and strength of the recommendations are based on the quality of evidence, the balance between desirable and undesirable effects, patients’ and clinicians’ values and preferences, and resource use. Eight overarching principles and nine specific recommendations were developed covering several aspects of PMR, including basic and follow‐up investigations of patients under treatment, risk factor assessment, medical access for patients and specialist referral, treatment strategies such as initial glucocorticoid (GC) doses and subsequent tapering regimens, use of intramuscular GCs and disease modifying anti‐rheumatic drugs (DMARDs), as well as the roles of non‐steroidal anti‐rheumatic drugs and non‐pharmacological interventions. These recommendations will inform primary, secondary and tertiary care physicians about an international consensus on the management of PMR. These recommendations should serve to inform clinicians about best practices in the care of patients with PMR.

Purpose The appropriate duration of surveillance for renal cell carcinoma (RCC) after radical or partial nephrectomy remains unknown, and evidence to support current guidelines are lacking. Herein, we provide an approach to surveillance that balances the risk of recurrence versus the risk of non-RCC death. Patients and Methods We identified 2,511 patients who underwent surgery for M0 RCC between 1990 and 2008. Patients were stratified for analysis by pathologic stage (pT1Nx-0, pT2Nx-0, pT3/4Nx-0, and pTanyN1), relapse location (abdomen, chest, bone, and other), age (< 50, 50 to 59, 60 to 69, 70-79 and ≥ 80 years), and Charlson comorbidity index (CCI; ≤ 1 and ≥ 2). Risks of disease recurrence and non-RCC death were estimated by using parametric models for time-to-failure with Weibull distributions. Surveillance duration was estimated at the point when the risk of non-RCC death exceeded the risk of recurrence. Results At a median follow-up of 9.0 years (interquartile range, 6.4 to 12.7 years), a total of 676 patients developed recurrence. By using a competing-risk model, vastly different surveillance durations were appreciated. Specifically, among patients with pT1Nx-0 disease and a CCI ≤ 1, risk of non-RCC death exceeded that of abdominal recurrence risk at 6 months in patients age 80 years and older but failed to do so for greater than 20 years in patients younger than age 50 years. For patients with pT1Nx-0 disease but a CCI ≥ 2, the risk of non-RCC death exceeded that of abdominal recurrence risk already at 30 days after surgery, regardless of patient age. Conclusion We present an individualized approach to RCC surveillance that bases the duration of follow-up on the interplay between competing risk factors of recurrence and non-RCC death. This strategy may improve the balance between the derived benefit from surveillance and medical resource allocation.

AbstractBackground Electronic health records (EHRs) are increasingly used for clinical and translational research through the creation of phenotype algorithms. Currently, phenotype algorithms are most commonly represented as noncomputable descriptive documents and knowledge artifacts that detail the protocols for querying diagnoses, symptoms, procedures, medications, and/or text-driven medical concepts, and are primarily meant for human comprehension. We present desiderata for developing a computable phenotype representation model (PheRM).Methods A team of clinicians and informaticians reviewed common features for multisite phenotype algorithms published in PheKB.org and existing phenotype representation platforms. We also evaluated well-known diagnostic criteria and clinical decision-making guidelines to encompass a broader category of algorithms.Results We propose 10 desired characteristics for a flexible, computable PheRM: (1) structure clinical data into queryable forms; (2) recommend use of a common data model, but also support customization for the variability and availability of EHR data among sites; (3) support both human-readable and computable representations of phenotype algorithms; (4) implement set operations and relational algebra for modeling phenotype algorithms; (5) represent phenotype criteria with structured rules; (6) support defining temporal relations between events; (7) use standardized terminologies and ontologies, and facilitate reuse of value sets; (8) define representations for text searching and natural language processing; (9) provide interfaces for external software algorithms; and (10) maintain backward compatibility.Conclusion A computable PheRM is needed for true phenotype portability and reliability across different EHR products and healthcare systems. These desiderata are a guide to inform the establishment and evolution of EHR phenotype algorithm authoring platforms and languages.