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Full-Text Articles in Medicine and Health Sciences

Determination Of An Optimal Response Cut-Off Able To Predict Progression-Free Survival In Patients With Well-Differentiated Advanced Pancreatic Neuroendocrine Tumours Treated With Sunitinib: An Alternative To The Current Recist-Defined Response., Angela Lamarca, Jorge Barriuso, Matthew Kulke, Ivan Borbath, Heinz-Josef Lenz, Jean Luc Raoul, Neal J. Meropol, Catherine Lombard-Bohas, James Posey, Sandrine Faivre, Eric Raymond, Juan W. Valle Jan 2018

Determination Of An Optimal Response Cut-Off Able To Predict Progression-Free Survival In Patients With Well-Differentiated Advanced Pancreatic Neuroendocrine Tumours Treated With Sunitinib: An Alternative To The Current Recist-Defined Response., Angela Lamarca, Jorge Barriuso, Matthew Kulke, Ivan Borbath, Heinz-Josef Lenz, Jean Luc Raoul, Neal J. Meropol, Catherine Lombard-Bohas, James Posey, Sandrine Faivre, Eric Raymond, Juan W. Valle

Department of Medical Oncology Faculty Papers

BACKGROUND: Sunitinib prolongs progression-free survival (PFS) in patients with advanced pancreatic neuroendocrine tumours (pNET). Response Evaluation Criteria in Solid Tumors (RECIST)-defined partial responses (PR; classically defined as ⩾30% size decrease from baseline) are infrequent.

METHODS: Individual data of pNET patients from the phase II [NCT00056693] and pivotal phase III [NCT00428597] trials of sunitinib were analysed in this investigator-initiated, post hoc study. The primary objective was to determine the optimal RECIST (v.1.0) response cut-off value to identify patients who were progression-free at 11 months (median PFS in phase III trial); and the most informative time-point (highest area under the curve (AUC) …


Predictors Of Noncompliance To Antihypertensive Therapy Among Hypertensive Patients Ghana: Application Of Health Belief Model, Yaa Obirikorang, Christian Obirikorang, Emmanuel Acheampong, Enoch Odame Anto, Daniel Gyamfi, Selorm Philip Segbefia, Michael Opoku Boateng, Dari Pascal Dapilla, Peter Kojo Brenya, Bright Amankwaa, Evans Asamoah Adu, Emmanuel Nsenbah Batu, Adjei Gyimah Akwasi, Beatrice Amoah Jan 2018

Predictors Of Noncompliance To Antihypertensive Therapy Among Hypertensive Patients Ghana: Application Of Health Belief Model, Yaa Obirikorang, Christian Obirikorang, Emmanuel Acheampong, Enoch Odame Anto, Daniel Gyamfi, Selorm Philip Segbefia, Michael Opoku Boateng, Dari Pascal Dapilla, Peter Kojo Brenya, Bright Amankwaa, Evans Asamoah Adu, Emmanuel Nsenbah Batu, Adjei Gyimah Akwasi, Beatrice Amoah

Research outputs 2014 to 2021

This study determined noncompliance to antihypertensive therapy (AHT) and its associated factors in a Ghanaian population by using the health belief model (HBM). This descriptive cross-sectional study conducted at Kintampo Municipality in Ghana recruited a total of 678 hypertensive patients. The questionnaire constituted information regarding sociodemographics, a five-Likert type HBM questionnaire, and lifestyle-related factors. The rate of noncompliance to AHT in this study was 58.6%. The mean age (SD) of the participants was 43.5 (±5.2) years and median duration of hypertension was 2 years. Overall, the five HBM constructs explained 31.7% of the variance in noncompliance to AHT with a …