Objective: The present subanalysis of the EARTH study investigates the effects of one year testosterone replacement therapy (TRT) on sleep disturbance among hypogonadal men without obstructive sleep apnea.Methods: Sleep disturbance was defined as three or more points in question 4 of the aging males symptoms (AMS) questionnaire. All participants completed the AMS scale, International Prostatic Symptoms Score (IPSS), Sexual Health Inventory for Men (SHIM) and Short Form 36 (SF-36) health survey at baseline and after 12?months. Sexual symptoms were also evaluated based on three AMS subscores (Q15, 16 and 17).Results: We identified 100 patients with sleep disturbance, of whom 48 (24 each in the TRT and control groups) were ultimately included for analysis. All SF-36 categories , AMS scale, IPSS and SHIM score subdomains were significantly worse in patients with sleep disturbance than in those without disturbance. Statistically significant differences in sleep disturbance, erectile symptoms, sexual desire and some domains of the SF-36 were observed between the TRT and control groups after 12?months.Conclusion: Sleep disturbance may be one of the clinical signs for severe hypogonadism. Moreover, TRT improved sleep conditions, sexual function and quality of life among hypogonadal men with sleep disturbance. 相似文献
Summary We studied the rules used by the female parasitoid,Dacnusa sibirica Telenga (Hymenoptera: Braconidae), for deciding when to leave a tomato leaflet on which she is searching for larvae of the
leafminer,Liriomyza bryoniae Kalt. (Diptera: Agromyzidae). Females would deposit a marking pheromone on the leaflet and would leave the leaflet when the
amount of the pheromone accumulated to the thresholdL, which is proportional to the amount of search effort on the leaflet.L appears to increase with host density since it rises after every encounter with a host (or mine).D. sibirica would employ an area-concentrated search, which is advantageous in foraging for hosts showing a clumped distribution. 相似文献
Summary We studied the stopping rule obeyed by the female parasitoid,Chrysocharis pentheus, in deciding when to leave the leaflet on which she is searching for larvae ofPhytomyza ranunculi. She seemed not to employ some stopping rules that have been suggested; i.e., a fixed-number rule and a fixed-time rule and
others. The stopping model formulated forDapsilarthra rufiventris parasitic on the same host species fitted well to the results. The model assumes that the searching female will deposit a
marking pheromone on the leaflet at a rate proportional to the search speed and will leave the leaflet when the amount of
the pheromone that has accumulated on the leaflet reaches the threshold,L. In this model,L denotes the amount of search effort spent on the leaflet. A comparison of the observed results with the predictions from
the model suggested thatL increased markedly at the first encounter with the mine (host), but less at later encounters.C. pentheus appears to employ a mixed strategy of a fixed search-effort and an area-concentrated search. This would confer an adaptive
advantage in foraging forP. ranunculi larvae, which are distributed in clumps among leaflets in the field. 相似文献
We discuss the multivariate (2L-variate) correlation structure and the asymptotic distribution for the group-sequential weighted logrank statistics formulated when monitoring two correlated event-time outcomes in clinical trials. The asymptotic distribution and the variance–covariance for the 2L-variate weighted logrank statistic are derived as available in various group-sequential trial designs. These methods are used to determine a group-sequential testing procedure based on calendar times or information fractions. We apply the theoretical results to a group-sequential method for monitoring a clinical trial with early stopping for efficacy when the trial is designed to evaluate the joint effect on two correlated event-time outcomes. We illustrate the method with application to a clinical trial and describe how to calculate the required sample sizes and numbers of events.
This paper has identified some points of convergence in the works of Sorokin, Tilly, and Gurr regarding the measurement of popular disturbance and has adopted their three-dimensional approach based on size, duration, and intensity. In criticizing past studies which used an incident as the only unit of data coding, it has been argued that a disturbance can be decomposed into a series of action phases. It has also been proposed that the intensity of a given mode of action can be empirically measured by computing its probability of causing human injuries, police arrests, and property damage. Finally, it has been suggested that the overall magnitude of a disturbance incident is measurable as a sum total of action phase magnitudes each of which is computed by combining size, duration, and intensity of the phase into a summary index. 相似文献
The clinical efficacy of a new treatment may often be better evaluated by two or more co-primary endpoints. Recently, in pharmaceutical drug development, there has been increasing discussion regarding establishing statistically significant favorable results on more than one endpoint in comparisons between treatments, which is referred to as a problem of multiple co-primary endpoints. Several methods have been proposed for calculating the sample size required to design a trial with multiple co-primary correlated endpoints. However, because these methods require users to have considerable mathematical sophistication and knowledge of programming techniques, their application and spread may be restricted in practice. To improve the convenience of these methods, in this paper, we provide a useful formula with accompanying numerical tables for sample size calculations to design clinical trials with two treatments, where the efficacy of a new treatment is demonstrated on continuous co-primary endpoints. In addition, we provide some examples to illustrate the sample size calculations made using the formula. Using the formula and the tables, which can be read according to the patterns of correlations and effect size ratios expected in multiple co-primary endpoints, makes it convenient to evaluate the required sample size promptly. 相似文献