How to develop the search strategy of systematic reviews/meta-analysis of animal researches: an introduction_Chinese Journal of Evidence-Based Medicine

Authors：

TANG Xiaoyu ^1,2,3 , LI Han ^1,2,4 , SUN Dili ^1,2,3 , NIU Jialan ^1,2,3 , ZHU Min ^1,2,4 , LI Jing ^1,2,4 , BIAN Tianyue ^1,2,4 , KUANG Xinying ⁵ , GENG Jinsong ⁶ , ZHAO Fei ⁷ , LIU Yali ^1,2 , LIU Xia ⁸ ,  MA Bin ^1,2

1. Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, 730000, P.R.China;
2. Key Laboratory of Evidence-Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, 730000, P.R.China;
3. The Second Clinical Medical College of Lanzhou University, Lanzhou, 73000, P.R.China;
4. The First Clinical Medical College of Lanzhou University, Lanzhou, 73000, P.R.China;
5. The Chinese University of Hong Kong Jockey Club School of Public Health, Hongkong, 999077, P.R.China;
6. Department of Medical Informatics, Medical School of Nantong University, Nantong, 226001, P.R.China;
7. School of Medicine, Northwest Minzu University, Lanzhou, 730030, P.R.China;
8. Key Laboratory of Preclinical Study for New Drugs of Gansu Province, Department of Pharmacology, School of Basic Medical Science, Lanzhou University, Lanzhou, 730000, P.R.China;

Corresponding?author：

MA Bin, Email: mab@lzu.edu.cn

Keywords：

Animal experiment; Systematic review; Meta-analysis; Search strategy; Introduction

DOI：

10.7507/1672-2531.201709056

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ObjectivesTo introduce the formulating methods and implementing steps of search strategy of systematic reviews (SRs)/meta-analysis (MAs) of animal experiments, so as to provide a reference for domestic related researchers, and promote the development and implementation of high quality SRs/MAs of animal experiments in China. MethodsPubMed, EMbase and CNKI databases were searched online to retrieve studies on the search strategy of SRs/ MAs of animal experiments from inception to October 2017. A descriptive analysis was then conducted using the evidence-based medicine theory and method.ResultsA total of 5 studies were included. The 5 basic steps on how to design and carry out comprehensive search strategies to identify potentially relevant animal experiments on a specific research question were as follow: 1) Formulate research question; 2) Identify appropriate databases and sources of studies; 3) Transform research question into search strategy; 4) Collect search results and remove duplicates; 5) Identify potentially relevant papers. The report of search strategy needs to state its search method and search results clearly.ConclusionThese 5 steps can provide an effective method, which will assist researchers in performing a comprehensive literature search.

Citation： TANG Xiaoyu, LI Han, SUN Dili, NIU Jialan, ZHU Min, LI Jing, BIAN Tianyue, KUANG Xinying, GENG Jinsong, ZHAO Fei, LIU Yali, LIU Xia, MA Bin. How to develop the search strategy of systematic reviews/meta-analysis of animal researches: an introduction. Chinese Journal of Evidence-Based Medicine, 2018, 18(5): 515-520. doi: 10.7507/1672-2531.201709056 Copy

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2.	Hooijmans CR, Tillema A, Leenaars M, et al. Enhancing search efficiency by means of a search filter for finding all studies on animal experimentation in PubMed. Lab Anim, 2010, 44(3): 170-175.
3.	Hooijmans CR, IntHout J, Ritskes-Hoitinga M, et al. Meta-analyses of animal studies: an introduction of a valuable instrument to further improve healthcare. ILAR J, 2014, 55(3): 418-426.
4.	陳匡陽, 屈麗娜, 胡芳, 等. 動物實驗系統評價/Meta 分析檢索策略報告情況調查. 中國循證醫學雜志, 2016, 16(3): 348-353.
5.	Leenaars M, Hooijmans CR, van Veggel N, et al. A step-by-step guide to systematically identify all relevant animal studies. Lab Anim, 2012, 46(1): 24-31.
6.	de Vries RB, Hooijmans CR, Tillema A, et al. A search filter for increasing the retrieval of animal studies in Embase. Lab Anim, 2011, 45(4): 268-270.
7.	Peters JL, Sutton AJ, Jones DR, et al. A systematic review of systematic reviews and meta-analyses of animal experiments with guidelines for reporting. J Environ Sci Health B, 2006, 41(7): 1245-1258.
8.	de Vries RB, Hooijmans CR, Tillema A, et al. Updated version of the Embase search filter for animal studies. Lab Anim, 2014, 48(1): 88.
9.	HigginsJPT, Green S. Cochrane handbook for systematic reviews of interventions version 5.0.2. Available at: www.cochranehandbook.org.
10.	Greenhalgh T, Peacock R. Effectiveness and efficiency of search methods in systematic reviews of complex evidence: audit of primary sources. BMJ, 2005, 331(7524): 1064-1065.
11.	劉莉, 沈秀麗, 劉云, 等. BIOSIS Previews 網絡數據庫檢索系統的檢索方法及應用. 吉林大學學報(醫學版), 2004, 30(1): 155-156.
12.	Ramos-Remus C, Suarez-Almazor M, Dorgan M, et al. Performance of online biomedical databases in rheumatology. J Rheumatol, 1994, 21(10): 1912-1921.
13.	Suarez-Almazor ME, Belseck E, Homik J, et al. Identifying clinical trials in the medical literature with electronic databases: MEDLINE alone is not enough. Control Clin Trials, 2000, 21(5): 476-487.

1. 陳匡陽, 王亞楠, 趙雅琴, 等. 國內動物實驗系統評價/Meta 分析研究的現狀分析. 中國循證醫學雜志, 2015, 15(4): 414-418.
2. Hooijmans CR, Tillema A, Leenaars M, et al. Enhancing search efficiency by means of a search filter for finding all studies on animal experimentation in PubMed. Lab Anim, 2010, 44(3): 170-175.
3. Hooijmans CR, IntHout J, Ritskes-Hoitinga M, et al. Meta-analyses of animal studies: an introduction of a valuable instrument to further improve healthcare. ILAR J, 2014, 55(3): 418-426.
4. 陳匡陽, 屈麗娜, 胡芳, 等. 動物實驗系統評價/Meta 分析檢索策略報告情況調查. 中國循證醫學雜志, 2016, 16(3): 348-353.
5. Leenaars M, Hooijmans CR, van Veggel N, et al. A step-by-step guide to systematically identify all relevant animal studies. Lab Anim, 2012, 46(1): 24-31.
6. de Vries RB, Hooijmans CR, Tillema A, et al. A search filter for increasing the retrieval of animal studies in Embase. Lab Anim, 2011, 45(4): 268-270.
7. Peters JL, Sutton AJ, Jones DR, et al. A systematic review of systematic reviews and meta-analyses of animal experiments with guidelines for reporting. J Environ Sci Health B, 2006, 41(7): 1245-1258.
8. de Vries RB, Hooijmans CR, Tillema A, et al. Updated version of the Embase search filter for animal studies. Lab Anim, 2014, 48(1): 88.
9. HigginsJPT, Green S. Cochrane handbook for systematic reviews of interventions version 5.0.2. Available at: www.cochranehandbook.org.
10. Greenhalgh T, Peacock R. Effectiveness and efficiency of search methods in systematic reviews of complex evidence: audit of primary sources. BMJ, 2005, 331(7524): 1064-1065.
11. 劉莉, 沈秀麗, 劉云, 等. BIOSIS Previews 網絡數據庫檢索系統的檢索方法及應用. 吉林大學學報(醫學版), 2004, 30(1): 155-156.
12. Ramos-Remus C, Suarez-Almazor M, Dorgan M, et al. Performance of online biomedical databases in rheumatology. J Rheumatol, 1994, 21(10): 1912-1921.
13. Suarez-Almazor ME, Belseck E, Homik J, et al. Identifying clinical trials in the medical literature with electronic databases: MEDLINE alone is not enough. Control Clin Trials, 2000, 21(5): 476-487.

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