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Background

The role of radiation therapy (RT) following breast-conserving surgery (BCS) in ductal carcinoma in situ (DCIS) remains controversial. Trials have not identified a low-risk cohort, based on clinicopathologic features, who do not benefit from RT. A biosignature (DCISionRT®) that evaluates recurrence risk has been developed and validated. We evaluated the impact of DCISionRT on clinicians’ recommendations for adjuvant RT.

Methods

The PREDICT study is a prospective, multi-institutional, observational registry in which patients underwent DCISionRT testing. The primary endpoint was to identify the percentage of patients where testing led to a change in RT recommendations.

Results

Overall, 539 women were included in this study. Pre DCISionRT testing, RT was recommended to 69% of patients; however, post-testing, a change in the RT recommendation was made for 42% of patients compared with the pre-testing recommendation; the percentage of women who were recommended RT decreased by 20%. For women initially recommended not to receive an RT pre-test, 35% had their recommendation changed to add RT following testing, while post-test, 46% of patients had their recommendation changed to omit RT after an initial recommendation for RT. When considered in conjunction with other clinicopathologic factors, the elevated DCISionRT score risk group (DS > 3) had the strongest association with an RT recommendation (odds ratio 43.4) compared with age, grade, size, margin status, and other factors.

Conclusions

DCISionRT provided information that significantly changed the recommendations to add or omit RT. Compared with traditional clinicopathologic features used to determine recommendations for or against RT, the factor most strongly associated with RT recommendations was the DCISionRT result, with other factors of importance being patient preference, tumor size, and grade.

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Context

‘Transfer’ is the application of a previously learned concept to solve a new problem in another context. Transfer is essential for basic science education because, to be valuable, basic science knowledge must be transferred to clinical problem solving. Therefore, better understanding of interventions that enhance the transfer of basic science knowledge to clinical reasoning is essential. This review systematically identifies interventions described in the health professions education (HPE ) literature that document the transfer of basic science knowledge to clinical reasoning, and considers teaching and assessment strategies.

Methods

A systematic search of the literature was conducted. Articles related to basic science teaching at the undergraduate level in HPE were analysed using a ‘transfer out’/’transfer in’ conceptual framework. ‘Transfer out’ refers to the application of knowledge developed in one learning situation to the solving of a new problem. ‘Transfer in’ refers to the use of previously acquired knowledge to learn from new problems or learning situations.

Results

Of 9803 articles initially identified, 627 studies were retrieved for full text evaluation; 15 were included in the literature review. A total of 93% explored ‘transfer out’ to clinical reasoning and 7% (one article) explored ‘transfer in’. Measures of ‘transfer out’ fostered by basic science knowledge included diagnostic accuracy over time and in new clinical cases. Basic science knowledge supported learning – ‘transfer in’ – of new related content and ultimately the ‘transfer out’ to diagnostic reasoning. Successful teaching strategies included the making of connections between basic and clinical sciences, the use of commonsense analogies, and the study of multiple clinical problems in multiple contexts. Performance on recall tests did not reflect the transfer of basic science knowledge to clinical reasoning.

Conclusions

Transfer of basic science knowledge to clinical reasoning is an essential component of HPE that requires further development for implementation and scholarship.
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