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The men were randomised to Weight Watchers weight loss programme plus placebo versus the same weight loss programme plus testosterone, with their treatment assigned as follows: Subjects on the Weight Watchers programme (n=15) were given the usual diet, and subjects on testosterone (n=8) were given the usual testosterone gel. For the placebo group (n=4), the diet consisted of same foods but added a protein supplement to the meal. Statistical analysis All analyses were performed with Prism 6 v. 6 software (GraphPad) and SAS version 9.2. Subjects were grouped according to the treatment group according to the mean duration of follow-up in participants with a mean value of 2 y who were followed up for 10 y and with a corresponding mean time of follow-up in subjects without a follow-up time of 10 y [12,25], respectively. We used a Mann–Whitney U–test to evaluate the difference in weight loss between the groups at time of examination [25]. We used a t test to evaluate the difference between the groups in weight loss at time of examination, as the analysis was not stratified by study population [25]. When the baseline values of weight change (BWT) were not available in the data, we used regression equations based on an initial weight change calculated from the measured weight, which were validated in six subjects on the normal androgen-deprivation diet, whereas in three other subjects the equations were based on weight changes computed on the weight-loss treatment programme but without a weight-loss therapy protocol [6,25] (Table 2). This technique has been used to identify weight gain [26], and consequently the equation is able to reflect a more realistic weight change (i.e., it will overestimate weight gain) for those subjects on the normal diet since it represents a more realistic weight level. In addition, the equation does not imply that a larger initial weight change would increase the predicted weight gain, particularly for those subjects whose initial measured weight was low (i.e., below the range of the baseline, which was at the lower end of normal). We did not perform multiple linear regression because of the inherent limitations of the method; therefore, we performed a meta-regression analysis involving all the studies that involved weight-loss therapy as the primary outcome (Table 2). The meta-regression analysis was conducted by using SPSS 13.0 software [27]. RESULTS Study characteristics A total of 28 studies were included in the meta-analysis. The studies reported 613 subjects, of whom 111 Related Article:

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