The consistency of reporting results for patient-derived xenograft(PDX) studies is an area of concern. The PDX method commonly starts by implanting a derivative of a human tumor into a mouse, then comparing the tumor ...The consistency of reporting results for patient-derived xenograft(PDX) studies is an area of concern. The PDX method commonly starts by implanting a derivative of a human tumor into a mouse, then comparing the tumor growth under different treatment conditions. Currently, a wide array of statistical methods(e.g., t-test, regression, chi-squared test) are used to analyze these data, which ultimately depend on the outcome chosen(e.g., tumor volume, relative growth, categorical growth). In this simulation study, we provide empirical evidence for the outcome selection process by comparing the performance of both commonly used outcomes and novel variations of common outcomes used in PDX studies. Data were simulated to mimic tumor growth under multiple scenarios, then each outcome of interest was evaluated for 10?000 iterations. Comparisons between different outcomes were made with respect to average bias, variance, type-1 error, and power. A total of 18 continuous, categorical, and time-to-event outcomes were evaluated, with ultimately 2 outcomes outperforming the others: final tumor volume and change in tumor volume from baseline.Notably, the novel variations of the tumor growth inhibition index(TGII)— a commonly used outcome in PDX studies— was found to perform poorly in several scenarios with inflated type-1 error rates and a relatively large bias. Finally, all outcomes of interest were applied to a real-world dataset.展开更多
The birth of a child is a pivotal time in the life of a mother,her family and society.The health and well-being of a mother and child at birth largely determines the future health and wellness of the entire family(Wor...The birth of a child is a pivotal time in the life of a mother,her family and society.The health and well-being of a mother and child at birth largely determines the future health and wellness of the entire family(World Health Organization(WHO),2005).Normal birth has enormous benefits for mothers,neonates,families,and societies.The growing supportive evidence for the promotion of normal birth certainly relies on multidisciplinary collaborations to continue spreading knowledge about the advantages of normal birth and enhancing the understanding of how knowledge about normal birth can change society.Knowledge about normal birth varies among different groups of healthcare professionals,and it would be useful to identify how it is clinically translated to become accessible to other professionals and research teams,consumers,the public,significant decision-or policy makers,the industry,funding bodies,and volunteer health teams.展开更多
文摘The consistency of reporting results for patient-derived xenograft(PDX) studies is an area of concern. The PDX method commonly starts by implanting a derivative of a human tumor into a mouse, then comparing the tumor growth under different treatment conditions. Currently, a wide array of statistical methods(e.g., t-test, regression, chi-squared test) are used to analyze these data, which ultimately depend on the outcome chosen(e.g., tumor volume, relative growth, categorical growth). In this simulation study, we provide empirical evidence for the outcome selection process by comparing the performance of both commonly used outcomes and novel variations of common outcomes used in PDX studies. Data were simulated to mimic tumor growth under multiple scenarios, then each outcome of interest was evaluated for 10?000 iterations. Comparisons between different outcomes were made with respect to average bias, variance, type-1 error, and power. A total of 18 continuous, categorical, and time-to-event outcomes were evaluated, with ultimately 2 outcomes outperforming the others: final tumor volume and change in tumor volume from baseline.Notably, the novel variations of the tumor growth inhibition index(TGII)— a commonly used outcome in PDX studies— was found to perform poorly in several scenarios with inflated type-1 error rates and a relatively large bias. Finally, all outcomes of interest were applied to a real-world dataset.
文摘The birth of a child is a pivotal time in the life of a mother,her family and society.The health and well-being of a mother and child at birth largely determines the future health and wellness of the entire family(World Health Organization(WHO),2005).Normal birth has enormous benefits for mothers,neonates,families,and societies.The growing supportive evidence for the promotion of normal birth certainly relies on multidisciplinary collaborations to continue spreading knowledge about the advantages of normal birth and enhancing the understanding of how knowledge about normal birth can change society.Knowledge about normal birth varies among different groups of healthcare professionals,and it would be useful to identify how it is clinically translated to become accessible to other professionals and research teams,consumers,the public,significant decision-or policy makers,the industry,funding bodies,and volunteer health teams.
