Meta-analysis of prevalence

被引:1597
作者
Barendregt, Jan J. [1 ]
Doi, Suhail A. [1 ]
Lee, Yong Yi [1 ]
Norman, Rosana E. [1 ,2 ]
Vos, Theo [1 ,3 ]
机构
[1] Univ Queensland, Sch Populat Hlth, Herston, Qld 4006, Australia
[2] Univ Queensland, Queensland Childrens Med Res Inst, Herston, Qld 4006, Australia
[3] Univ Washington, Inst Hlth Metr & Evaluat, Seattle, WA 98195 USA
关键词
Meta Analysis; Statistics; Methodology; QUALITY-EFFECTS MODEL; MULTIPLE-SCLEROSIS; MS; SPAIN;
D O I
10.1136/jech-2013-203104
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Meta-analysis is a method to obtain a weighted average of results from various studies. In addition to pooling effect sizes, meta-analysis can also be used to estimate disease frequencies, such as incidence and prevalence. In this article we present methods for the meta-analysis of prevalence. We discuss the logit and double arcsine transformations to stabilise the variance. We note the special situation of multiple category prevalence, and propose solutions to the problems that arise. We describe the implementation of these methods in the MetaXL software, and present a simulation study and the example of multiple sclerosis from the Global Burden of Disease 2010 project. We conclude that the double arcsine transformation is preferred over the logit, and that the MetaXL implementation of multiple category prevalence is an improvement in the methodology of the meta-analysis of prevalence.
引用
收藏
页码:974 / 978
页数:5
相关论文
共 26 条
[1]   Combining heterogenous studies using the random-effects model is a mistake and leads to inconclusive meta-analyses [J].
Al khalaf, Mohamad M. ;
Thalib, Lukman ;
Doi, Suhail A. R. .
JOURNAL OF CLINICAL EPIDEMIOLOGY, 2011, 64 (02) :119-123
[2]   Multiple sclerosis in Iraq: Does it have the same features encountered in Western countries? [J].
Al-Araji, A ;
Mohammed, AI .
JOURNAL OF THE NEUROLOGICAL SCIENCES, 2005, 234 (1-2) :67-71
[3]  
ALVAREZ G, 1992, ACTA NEUROL SCAND, V85, P1
[4]  
[Anonymous], 2012, ERS PROGR 1 2 VERS
[5]   Report on 200 cases from Curitiba, Southern Brazil and comparison with other Brazilian series [J].
Arruda, WO ;
Scola, RH ;
Teive, HAG ;
Werneck, LC .
ARQUIVOS DE NEURO-PSIQUIATRIA, 2001, 59 (2A) :165-170
[6]  
BALASA R, 2007, REV ROM NEUROL, V6, P80
[7]   The prevalence of multiple sclerosis in the Hungarian city of Szeged [J].
Bencsik, K ;
Rajda, C ;
Klivenyi, P ;
Jardanhazy, T ;
Vecsei, L .
ACTA NEUROLOGICA SCANDINAVICA, 1998, 97 (05) :315-319
[8]   The prevalence of multiple sclerosis, distribution of clinical forms of the disease and functional status of patients in Csongrad County, Hungary [J].
Bencsik, K ;
Rajda, C ;
Füvesi, J ;
Klivényi, P ;
Járdánházy, T ;
Török, M ;
Vécsei, L .
EUROPEAN NEUROLOGY, 2001, 46 (04) :206-209
[9]   The natural history of untreated multiple sclerosis in Iceland.: A total population-based 50 year prospective study [J].
Benedikz, J ;
Stefánsson, M ;
Guomundsson, J ;
Jónasdóttir, A ;
Fossdal, R ;
Gulcher, J ;
Stefánsson, K .
CLINICAL NEUROLOGY AND NEUROSURGERY, 2002, 104 (03) :208-210
[10]   MS and neuromyelitis optics in Martinique (French West Indies) [J].
Cabre, P ;
Heinzlef, O ;
Merle, H ;
Buisson, GG ;
Bera, O ;
Bellance, R ;
Vernant, JC ;
Smadja, D .
NEUROLOGY, 2001, 56 (04) :507-514