Review Article

Statistical methods in the meta-analysis of prevalence of human diseases

Abstract

Background & Aim:A meta-analysis refers to the statistical synthesis of results from a series of studies and has been used to estimate pooled prevalence of human diseases. In this study, we review some statistical issues regarding the meta-analysis of the prevalence of human diseases such as statistical software and programs, transformations of prevalence rate, assessment of heterogeneity, and publication bias.

Borenstein M, Hedges LV. Introduction to meta-analysis. Hoboken, NJ: John Wiley & Sons; 2009.

Gordis L. Epidemiology. Philadelphia, PA: Elsevier/Saunders; 2009.

Zhang MW, Ho RC, Cheung MW, Fu E, Mak A. Prevalence of depressive symptoms in patients with chronic obstructive pulmonary disease: a systematic review, meta-analysis and meta-regression. Gen HospPsychiatry 2011; 33(3): 217-23.

Li Y, Xu J, Reilly KH, Zhang J, Wei H, Jiang Y, et al. Prevalence of HIV and syphilis infection among high school and college student MSM in China: a systematic review and meta-analysis. PLoS One 2013; 8(7): e69137.

Chen JJ, Yu CB, Du WB, Li LJ. Prevalence of hepatitis B and C in HIV-infected patients: a meta-analysis. Hepatobiliary Pancreat DisInt 2011; 10(2): 122-7.

Jayawardena R, Ranasinghe P, Byrne NM, Soares MJ, Katulanda P, Hills AP. Prevalence and trends of the diabetes epidemic in South Asia: a systematic review and meta-analysis. BMC Public Health 2012; 12: 380.

Mitchell AJ, Chan M, Bhatti H, Halton M, Grassi L, Johansen C, et al. Prevalence of depression, anxiety, and adjustment disorder in oncological, haematological, and palliative-care settings: a meta-analysis of 94 interview-based studies. Lancet Oncol 2011; 12(2): 160-74.

Luppa M, Sikorski C, Luck T, Ehreke L, Konnopka A, Wiese B, et al. Age- and genderspecific prevalence of depression in latest-life-systematic review and meta-analysis. J Affect Disord 2012; 136(3): 212-21.

Barendregt JJ, Doi SA, Lee YY, Norman RE, Vos T. Meta-analysis of prevalence. J Epidemiol Community Health 2013; 67(11): 974-8.

Nath A, Agarwal R, Malhotra P, Varma S. Prevalence of hepatitis B virus infection in non-Hodgkin lymphoma: a systematic review and meta-analysis. Intern Med J 2010; 40(9): 633-41.

Ma YQ, Mei WH, Yin P, Yang XH, Rastegar SK, Yan JD. Prevalence of hypertension in Chinese cities: a meta-analysis of published studies. PLoS One 2013; 8(3): e58302.

Matcham F, Rayner L, Steer S, Hotopf M.The prevalence of depression in rheumatoid arthritis: a systematic review and metaanalysis. Rheumatology (Oxford) 2013; 52(12): 2136-48.

Krob HA, Fleischer AB, D'Agostino R,Haverstock CL, Feldman S. Prevalence and relevance of contact dermatitis allergens: a meta-analysis of 15 years of published T.R.U.E. test data. J Am Acad Dermatol 2004; 51(3): 349-53.

Paul M, Riebler A, Bachmann LM, Rue H, Held L. Bayesian bivariate meta-analysis of diagnostic test studies using integrated nested Laplace approximations. Stat Med 2010; 29(12): 1325-39.

Lipsey M, Wilson DB. Practical metaanalysis. New York, NY: Sage Publications; 2001.

van Emmerik-van OK, van de Glind G, van den Brink W, Smit F, Crunelle CL, Swets M, et al. Prevalence of attention-deficit hyperactivity disorder in substance use disorder patients: a meta-analysis and metaregression analysis. Drug Alcohol Depend 2012; 122(1-2): 11-9.

Rudnicka AR, Jarrar Z, Wormald R, Cook DG, Fletcher A, Owen CG. Age and gender variations in age-related macular degeneration prevalence in populations of European ancestry: a meta-analysis. Ophthalmology 2012; 119(3): 571-80.

Liu GC, Sui GY, Liu GY, Zheng Y, Deng Y, Gao YY, et al. A Bayesian meta-analysis on prevalence of hepatitis B virus infection among Chinese volunteer blood donors. PLoS One 2013; 8(11): e79203.

DerSimonian R, Laird N. Meta-analysis in clinical trials. Control Clin Trials 1986; 7(3): 177-88.

Horikawa C, Kodama S, Yachi Y, Heianza Y, Hirasawa R, Ibe Y, et al. Skipping breakfast and prevalence of overweight andobesity in Asian and Pacific regions: a metaanalysis.Prev Med 2011; 53(4-5): 260-7.

Higgins JP, Thompson SG. Quantifying heterogeneity in a meta-analysis. Stat Med 2002; 21(11): 1539-58.

Amini N, Alavian SM, Kabir A, Aalaei-Andabili SH, Saiedi Hosseini SY, Rizzetto M. Prevalence of hepatitis d in the eastern mediterranean region: systematic review and meta-analysis. Hepat Mon 2013; 13(1): e8210.

Gao X, Cui Q, Shi X, Su J, Peng Z, Chen X, et al. Prevalence and trend of hepatitis C virus infection among blood donors inChinese mainland: a systematic review and meta-analysis. BMC Infect Dis 2011; 11: 88.

Cortese S, Moreira Maia CR, Rohde L, Morcillo-PeƱalver C, Faraone SV. Prevalence of obesity in attention-deficit/hyperactivity disorder: study protocol for a systematic review and meta-analysis. BMJ Open 2014; 4(3): e004541.

Higgins JP, Thompson SG, Deeks JJ, Altman DG. Measuring inconsistency in metaanalyses. BMJ 2003; 327(7414): 557-60.

Higgins JP, Thompson SG. Controlling the risk of spurious findings from metaregression. Stat Med 2004; 23(11): 1663-82.

Sterne JAC, Bradburn MJ, Egger M. Metaanalysis in Stata. In: Egger M, Davey-Smith G, Altman D, Editors. Systematic reviews in health care: meta-analysis in context. Hoboken, NJ: John Wiley & Sons; 2001.

Thompson SG, Higgins JP. How should meta-regression analyses be undertaken and interpreted? Stat Med 2002; 21(11): 1559-73.

Raudenbush SW. Analyzing effect sizes: random effects models. In: Cooper H, HedgesLV, Valentine JC, Editors. The handbook ofresearch synthesis and meta-analysis. New York, NY: Russell Sage Foundation; 2009. p. 295-315.

Clancy MJ, Clarke MC, Connor DJ, Cannon M, Cotter DR. The prevalence of psychosis in epilepsy; a systematic review and metaanalysis.BMC Psychiatry 2014; 14: 75.

Dear KBG, Begg CB. An approach forassessing publication bias prior to performing a meta-analysis. Statist Sci 1992;7(2): 237-45.

Egger M, Davey SG, Schneider M, Minder C. Bias in meta-analysis detected by a simple, graphical test. BMJ 1997; 315(7109): 629-34.

Harbord RM, Egger M, Sterne JA. A modified test for small-study effects in metaanalyses of controlled trials with binary endpoints. Stat Med 2006; 25(20): 3443-57.

Begg CB, Mazumdar M. Operating characteristics of a rank correlation test for publication bias. Biometrics 1994; 50(4): 1088-101.

Sterne JA, Gavaghan D, Egger M. Publication and related bias in meta-analysis: power of statistical tests and prevalence in the literature. J Clin Epidemiol 2000; 53(11): 1119-29.

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IssueVol 2 No 1 (2016) QRcode
SectionReview Article(s)
Keywords
human diseases prevalence meta-analysis software heterogeneity publication bias

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How to Cite
1.
Wang K-S, Liu X. Statistical methods in the meta-analysis of prevalence of human diseases. JBE. 2016;2(1):20-24.