Systematic Reviews/Meta-analyses on Tuberculosis: A Status Investigation Based on Web of Science_Chinese Journal of Evidence-Based Medicine

Authors：

 ZHANGYong-gang ¹ , WANGYan-ting ² , PENGYuan-ling ³ , TONGXiang ⁴ , LIUYu-qi ³ ,  DULiang ¹

1. Chinese Evidence-based Center, West China Hospital of Sichuan University, Chengdu 610041, China;
2. Department of Respiratory Medicine, Chengdu Second People's Hospital, Chengdu 610017, China;
3. West China School of Medicine, Sichuan University, Chengdu 610041, China;
4. Department of Respiratory Medicine, West China Hospital of Sichuan University, Chengdu 610041, China;

Corresponding author：

DULiang, Email: duliang0606@vip.sina.com

Keywords：

Tuberculosis; Systematic review; Meta-analysis; Status analysis

DOI：

10.7507/1672-2531.20150029

Video：

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Objective To analyze the status of systematic reviews/meta-analyses on tuberculosis. Methods The Web of Science was searched for systematic reviews/meta-analyses on tuberculosis up to February 4^th, 2015. According to the inclusion and exclusion criteria, two reviewers screened literature and extracted data. Then SPSS 11.0 software was used to analysis data including publication year, country, institution, journal and citation situation. Results A total of 461 systematic reviews/meta-analyses were included. The publication numbers was increasing from 1 in 1997 to 82 in 2014. Among them, China ranked the top country (113 studies), followed by the USA and Canada. The area with the most number of countries where studies were published was Europe, followed by Asia and Africa. In terms of institution, McGill University in Canada ranked the top, followed by University of London in England and Sichuan University in China. As for the number of papers in journals, the International Journal of Tuberculosis and Lung Disease ranked the top, followed by PLOS One and European Respiratory Journal. In the terms of citation, the citation ranged from 0 to 591, and the median citation frequency was 8. Conclusion The systematic reviews/meta-analyses on tuberculosis is gradually increasing; the developed countries are still important output areas; and China is playing more and more important role in this research field.

Citation： ZHANGYong-gang, WANGYan-ting, PENGYuan-ling, TONGXiang, LIUYu-qi, DULiang. Systematic Reviews/Meta-analyses on Tuberculosis: A Status Investigation Based on Web of Science. Chinese Journal of Evidence-Based Medicine, 2015, 15(2): 165-169. doi: 10.7507/1672-2531.20150029 Copy

1.	Dye C. Global epidemiology of tuberculosis. Lancet, 2006, 367(9514):938-940.
2.	Supply P, Lesjean S, Savine E, et al. Automated high-throughput genotyping for study of global epidemiology of Mycobacterium tuberculosis based on mycobacterial interspersed repetitive units. J Clin Microbiol, 2001, 39(10):3563-3571.
3.	Raviglione MC, Snider DE Jr, Kochi A. Global epidemiology of tuberculosis. Morbidity and mortality of a worldwide epidemic. JAMA, 1995, 273(3):220-226.
4.	Pai M, Zwerling A, Menzies D. Systematic review:T-cell-based assays for the diagnosis of latent tuberculosis infection:an update. Ann Intern Med, 2008, 149(3):177-184.
5.	Gagneux S, DeRiemer K, Van T, et al. Variable host-pathogen compatibility in Mycobacterium tuberculosis. Proc Natl Acad Sci U S A, 2006, 103(8):2869-2873.
6.	Andries K, Verhasselt P, Guillemont J, et al. A diarylquinoline drug active on the ATP synthase of Mycobacterium tuberculosis. Science, 2005, 307(5707):223-227.
7.	Geijtenbeek TB, van Vliet SJ, Koppel EA, et al. Mycobacteria target DC-SIGN to suppress dendritic cell function. J Exp Med, 2003, 197(1):7-17.
8.	Menzies D, Pai M, Comstock G. Meta-analysis:new tests for the diagnosis of latent tuberculosis infection:areas of uncertainty and recommendations for research. Ann Intern Med, 2007, 146(5):340-354.
9.	van Houwelingen HC, Arends LR, Stijnen T. Advanced methods in meta-analysis:multivariate approach and meta-regression. Stat Med, 2002, 21(4):589-624.
10.	Wang W, Ren W, Zhang X, et al. Association between interferon gamma receptor 1-56C/T gene polymorphism and tuberculosis susceptibility:a meta-analysis. Chin Med J (Engl), 2014, 127(21):3782-3788.
11.	Areeshi MY, Mandal RK, Akhter N, et al. Evaluating the Association between TaqI Variant of Vitamin D Receptor Gene and Susceptibility to Tuberculosis:A Meta-analysis. Toxicol Int, 2014, 21(2):140-147.
12.	Nasiri MJ, Dabiri H, Darban-Sarokhalil D, et al. Prevalence of drugresistant tuberculosis in Iran:systematic review and meta-analysis. Am J Infect Control, 2014, 42(11):1212-1218.
13.	Corbett EL, Watt CJ, Walker N, et al. The growing burden of tuberculosis:global trends and interactions with the HIV epidemic. Arch Intern Med, 2003, 163(9):1009-1021.
14.	Espinal MA, Laszlo A, Simonsen L, et al. Global trends in resistance to antituberculosis drugs. World Health Organization-International Union against Tuberculosis and Lung Disease Working Group on Anti-Tuberculosis Drug Resistance Surveillance. N Engl J Med, 2001, 344(17):1294-1303.
15.	Dheda K, Huggett JF, Bustin SA, et al. Validation of housekeeping genes for normalizing RNA expression in real-time PCR. Biotechniques, 2004, 37(1):112-114, 116, 118-119.
16.	Schnappinger D, Ehrt S, Voskuil MI, et al. Transcriptional Adaptation of Mycobacterium tuberculosis within Macrophages:Insights into the Phagosomal Environment. J Exp Med, 2003, 198(5):693-704.
17.	Sassetti CM, Rubin EJ. Genetic requirements for mycobacterial survival during infection. Proc Natl Acad Sci U S A, 2003, 100(22):12989-12994.
18.	Mosser DM. The many faces of macrophage activation. J Leukoc Biol, 2003, 73(2):209-212.
19.	Volmink J, Garner P. Systematic review of randomised controlled trials of strategies to promote adherence to tuberculosis treatment. BMJ, 1997, 315(7120):1403-1406.
20.	Cole ST, Brosch R, Parkhill J, et al. Deciphering the biology of Mycobacterium tuberculosis from the complete genome sequence. Nature, 1998, 393(6685):537-544.

1. Dye C. Global epidemiology of tuberculosis. Lancet, 2006, 367(9514):938-940.
2. Supply P, Lesjean S, Savine E, et al. Automated high-throughput genotyping for study of global epidemiology of Mycobacterium tuberculosis based on mycobacterial interspersed repetitive units. J Clin Microbiol, 2001, 39(10):3563-3571.
3. Raviglione MC, Snider DE Jr, Kochi A. Global epidemiology of tuberculosis. Morbidity and mortality of a worldwide epidemic. JAMA, 1995, 273(3):220-226.
4. Pai M, Zwerling A, Menzies D. Systematic review:T-cell-based assays for the diagnosis of latent tuberculosis infection:an update. Ann Intern Med, 2008, 149(3):177-184.
5. Gagneux S, DeRiemer K, Van T, et al. Variable host-pathogen compatibility in Mycobacterium tuberculosis. Proc Natl Acad Sci U S A, 2006, 103(8):2869-2873.
6. Andries K, Verhasselt P, Guillemont J, et al. A diarylquinoline drug active on the ATP synthase of Mycobacterium tuberculosis. Science, 2005, 307(5707):223-227.
7. Geijtenbeek TB, van Vliet SJ, Koppel EA, et al. Mycobacteria target DC-SIGN to suppress dendritic cell function. J Exp Med, 2003, 197(1):7-17.
8. Menzies D, Pai M, Comstock G. Meta-analysis:new tests for the diagnosis of latent tuberculosis infection:areas of uncertainty and recommendations for research. Ann Intern Med, 2007, 146(5):340-354.
9. van Houwelingen HC, Arends LR, Stijnen T. Advanced methods in meta-analysis:multivariate approach and meta-regression. Stat Med, 2002, 21(4):589-624.
10. Wang W, Ren W, Zhang X, et al. Association between interferon gamma receptor 1-56C/T gene polymorphism and tuberculosis susceptibility:a meta-analysis. Chin Med J (Engl), 2014, 127(21):3782-3788.
11. Areeshi MY, Mandal RK, Akhter N, et al. Evaluating the Association between TaqI Variant of Vitamin D Receptor Gene and Susceptibility to Tuberculosis:A Meta-analysis. Toxicol Int, 2014, 21(2):140-147.
12. Nasiri MJ, Dabiri H, Darban-Sarokhalil D, et al. Prevalence of drugresistant tuberculosis in Iran:systematic review and meta-analysis. Am J Infect Control, 2014, 42(11):1212-1218.
13. Corbett EL, Watt CJ, Walker N, et al. The growing burden of tuberculosis:global trends and interactions with the HIV epidemic. Arch Intern Med, 2003, 163(9):1009-1021.
14. Espinal MA, Laszlo A, Simonsen L, et al. Global trends in resistance to antituberculosis drugs. World Health Organization-International Union against Tuberculosis and Lung Disease Working Group on Anti-Tuberculosis Drug Resistance Surveillance. N Engl J Med, 2001, 344(17):1294-1303.
15. Dheda K, Huggett JF, Bustin SA, et al. Validation of housekeeping genes for normalizing RNA expression in real-time PCR. Biotechniques, 2004, 37(1):112-114, 116, 118-119.
16. Schnappinger D, Ehrt S, Voskuil MI, et al. Transcriptional Adaptation of Mycobacterium tuberculosis within Macrophages:Insights into the Phagosomal Environment. J Exp Med, 2003, 198(5):693-704.
17. Sassetti CM, Rubin EJ. Genetic requirements for mycobacterial survival during infection. Proc Natl Acad Sci U S A, 2003, 100(22):12989-12994.
18. Mosser DM. The many faces of macrophage activation. J Leukoc Biol, 2003, 73(2):209-212.
19. Volmink J, Garner P. Systematic review of randomised controlled trials of strategies to promote adherence to tuberculosis treatment. BMJ, 1997, 315(7120):1403-1406.
20. Cole ST, Brosch R, Parkhill J, et al. Deciphering the biology of Mycobacterium tuberculosis from the complete genome sequence. Nature, 1998, 393(6685):537-544.

Chinese Journal of Evidence-Based Medicine

Systematic Reviews/Meta-analyses on Tuberculosis: A Status Investigation Based on Web of Science

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