are now returned in matrices r(ovstat) and r(bystats). effect size, standard error, confidence limits, p-value, heterogeneity statistics etc. This can be edited to include p-values etc. This isn’t done via an option, but instead admetan’s saved “results sets” (and forestplot itself) now leave behind a variable named _EFFECT which contains the string concatenation of effect size and confidence limits which appears in the forest plot. other information such as pooled effect p-values can also now be added to the forest plot. the heterogeneity p-value can optionally be put back into the forest plot
a couple of continuity-correction alternatives as proposed by Sweeting et al (2004) a couple of new random-effects models, and a new syntax model() replacing re() Slides from that conference, including mine, can be found here:
#Comprehensive meta analysis 3 update
Going forward, admetan can now directly be disseminated as an update to metan without any (potentially confusing) reference to individual participant data (IPD).įor those of you who attended the London Stata Conference back in September: sorry for the wait
#Comprehensive meta analysis 3 install
To that end, admetan can now be installed from SSC under its own name: that is, ssc install admetan works in the same way as ssc install ipdmetan the package files are the same either way. The primary aim of this release was to separate out the functionalities of admetan and ipdmetan as far as possible. Also, our study was the first comprehensive study to investigate the overall prevalence of hyperuricemia in mainland China covering the six different regions.Ĭhina Gout Hyperuricemia Urbanisation Uric acid.With thanks as ever to Kit Baum (but particularly in this case, as I found a last-minute bug and had to ask him to re-upload.), I am very happy to introduce v3.0 of the admetan / ipdmetan meta-analysis command suite. Prevalence of hyperuricemia is increasing in China, and future studies should investigate the association between the prevalence of hyperuricemia and its risk factors in order to tackle the issue, particularly among the vulnerable groups. No publication of bias was observed as indicated by a symmetrical funnel plot and Begg and Mazumdar rank correlation (P = 0.392). An increasing prevalence was reported since 2005-2009 until 2015-2019. Those living Northeast region and being males had the highest prevalence (P 20%), particularly in males. Our subgroup analysis indicated that the pooled prevalence by regions ranged from 15.5 to 24.6%. The pooled prevalence of hyperuricemia among the general population in mainland China was 17.4% (95% CI: 15.8-19.1%). We included 108 eligible articles (172 studies by sex, 95 studies by regions, and 107 studies by study type) and an overall sample size of > 808,505 participants. All calculations were conducted using the Comprehensive Meta-Analysis (CMA) software. Therefore, we conducted an updated meta-analysis on the prevalence and geographical distribution of hyperuricemia among the general population in mainland China using systematic literature search.įive electronic databases were used to search for relevant articles published until 2019.
However, high blood uric acid concentration, known as hyperuricemia, is the main risk factor for development of gout. 12 St George and Sutherland Clinical School, University of New South Wales, Sydney, NSW, 2217, Australia.įructose plays an important role in the complex metabolism of uric acid in the human body.11 Gut Research Group, Faculty of Medicine, Universiti Kebangsaan Malaysia, 56000, Kuala Lumpur, Malaysia.10 School of Medical Sciences, Universiti Sains Malaysia, 16150, Kota Bharu, Kelantan, Malaysia.9 Department of Human Nutrition, University of Otago, Dunedin, 9016, New Zealand.
8 Department of Clinical Nutrition, Northern Jiangsu People's Hospital, Yangzhou, 225001, Jiangsu, China.7 Clinical Medical College, Yangzhou University, Yangzhou, 225009, Jiangsu, China.6 Department of Respiratory and Critical Care Medicine, The Second People's Hospital of Wuhu, Wuhu, 241000, Anhui, China.5 Department of Nutrition and Food Hygiene, School of Public Health, Soochow University, 199 Ren'ai Road, Suzhou, 215123, China.4 Jinzhou Medical University, Jinzhou, 121001, Liaoning, China. 3 School of Medical Sciences, Universiti Sains Malaysia, 16150, Kota Bharu, Kelantan, Malaysia. 2 Department of Health and Environmental Sciences, Xi'an Jiaotong-Liverpool University, Suzhou, 215123, Jiangsu, China.