scholarly journals Dichotomizing the spectrum of ductal shunt places long-term outcomes research at risk

2019 ◽  
Vol 209 ◽  
pp. 257
Author(s):  
Timothy G. Elgin ◽  
Patrick J. McNamara ◽  
Regan E. Giesinger
2007 ◽  
Vol 22 (4) ◽  
pp. 275-284 ◽  
Author(s):  
Dale M. Needham ◽  
Weiwei Wang ◽  
Sanjay V. Desai ◽  
Pedro A. Mendez-Tellez ◽  
Cheryl R. Dennison ◽  
...  

Author(s):  
C Leichtenberg ◽  
HH Kaptijn ◽  
SH Verdegaal ◽  
R Onstenk ◽  
HM van der Linden-van der Zwaag ◽  
...  

2021 ◽  

Offspring of patients with schizophrenia or bipolar disorder have an increased risk of developing these conditions. However, our capacity to predict the long-term outcomes of these at-risk individuals is limited. Now, researchers have investigated whether longitudinal changes in brain structure differ in individuals at high familial risk who develop psychotic spectrum symptoms, compared to those who do not and to low-risk controls.


Author(s):  
Shannon Wiltsey Stirman ◽  
James W. Dearing

Sustainability is the continued use of program components and activities for the continued achievement of desirable program and population outcomes. Research on sustainability suggests that for some interventions and programs, the potential for long-term sustainment is fairly high, whereas for those that are complex and multifaceted, sustainability is more precarious and may always be at risk. This chapter considers broad issues of sustainability outcomes, frameworks for conceptualizing sustainability, and the depth or meaningfulness of what is sustained. It reviews research on the sustainability of cancer practices and programs in both public health and health care settings. Without careful planning and attention to relevant drivers of sustainability, practices and programs may not be continued over the long term. Still, the broader literature does provide guidance for those who seek to implement cancer programs and interventions with an eye toward sustainment. This guidance is discussed at the conclusion of the chapter.


2015 ◽  
Vol 11 (3) ◽  
pp. 207-208 ◽  
Author(s):  
Anne-Marie Meyer ◽  
Ethan Basch

Big data on real-world patients and practices are essential for answering questions regarding treatment effectiveness and long-term outcomes.


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