A literature-based treatment algorithm for low-grade neuroendocrine liver metastases

BackgroundThe optimal timing of treatment of liver metastases from low-grade neuroendocrine tumors (LG-NELM) varies significantly due to numerous treatment modalities and the literature supporting various treatment(s). This study sought to create and validate a literature-based treatment algorithm for LG-NELM.MethodsA treatment algorithm to maximize overall survival (OS) was designed using peer-reviewed articles evaluating treatment of LG-NELM. This algorithm was retrospectively applied to patients treated for LG-NELM at our institution. Deviation was determined based on whether or not a patient received treatment consistent with that recommended by the algorithm. Patients who did and did not deviate from the algorithm were compared with respect to OS and number of treatments.ResultsApplying our algorithm to a 149-patient cohort, 57 (38%) deviated from recommended treatment. Deviation occurred in the form of alternative (28, 49%) versus additional procedures (29, 51%). Algorithm deviators underwent significantly more procedures than non-deviators (median 1 vs. 2, p < 0.001). Cox model indicated no difference in OS associated with algorithm deviation (HR 1.19, p = 0.58) when controlling for age and tumor characteristics.ConclusionThis literature-based algorithm helps standardize treatment protocols in patients with LG-NELM and can reduce cost and risk by minimizing unnecessary procedures. Prospective implementation and validation is required.     

Validation of a test meal paradigm to experimentally manipulate meal-related fears: A registered report

Fear is central to conceptualizations of weight and shape-focused eating disorders. The current study will examine the reliability and validity of a test meal paradigm that varies perceptions of fat content to manipulate fear. Undergraduate women with elevated eating pathology (N = 96) will be randomized to one of three test meal conditions: two “low” fat yogurts, two “high” fat yogurts, or one “high” fat and one “low” fat yogurt. In actuality, all yogurts will have the same fat content. Supporting reliability, we hypothesize that self-reported fear and electrodermal activity (psychophysiological index of fear-related arousal) will exhibit good test–retest reliability over a 48-hr period in the “high” fat/“high” fat and “low” fat/“low” fat conditions. Supporting construct validity, self-reported fear and electrodermal activity will be elevated during the “high” versus “low” fat condition and responses to the “high" fat condition will correlate with fear of food, eating, and weight gain. Supporting discriminant validity, self-reported disgust and anger will be comparable in the “high” and “low” fat conditions and will exhibit weak correlations with trait measures of disgust and anger. This experimental paradigm will allow researchers to manipulate fear in order understand the mechanisms by which fear maintains eating pathology.