CT scanningversus intravenous pyelography in diagnosing renal tuberculosis: aMeta-analysis

doi:10.3877/cma.j.issn.2095-2015.2020.04.004

Abstract

Abstract:

Objective

To investigate the clinical valueof CT scanningandintravenous pyelography(IVP)in diagnosing renal tuberculosis.

Methods

Studies relatedthe CT scanning and IVPin diagnosing renal tuberculosis(January 1994 to March 2020)were searched, and Meta-analysis was performed by the software RevMan(Version 5.1). Furthermore, publication bias was tested by Begg′s funnel plot and Egger′s test.

Results

Twelvepublished studies were finally included, involving 616 cases.The combined odds ratio(OR)and 95%confidence interval(CI)of the diagnostic rate of CT scanning and IVP for renal tuberculosiswas 4.96(2.20~11.22, P=0.000 1).

Conclusion

For diagnosisof renal tuberculosis, CT scanningis obviously superior to IVP.

Key words: Renal tuberculosis, CT scanning, Intravenous pyelography, Meta-analysis

Fuye Niu, Xuejun Yin, Qianqian Sun, Xiaobin Yan, Caiguo Xu. CT scanningversus intravenous pyelography in diagnosing renal tuberculosis: aMeta-analysis[J]. Chinese Journal of Digestion and Medical Imageology(Electronic Edition), 2020, 10(04): 158-161.

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https://zhxhbyyxzz.cma-cmc.com.cn/EN/Y2020/V10/I04/158

Figures/Tables 4

References 20

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第一作者	年份	地区	例数	CT扫描/静脉肾盂造影(例)
第一作者	年份	地区	例数	诊断	未诊断
陈海松^[6]	2000	山东省	30	30/13	0/17
崔书君^[7]	2004	河北省	130	121/48	9/82
刘平^[8]	2008	河南省	24	22/4	2/20
王峰^[9]	2008	新疆省	54	49/34	5/21
叶印泉^[10]	2010	江西省	21	17/13	4/8
吴文娟^[11]	2010	湖北省	89	72/75	17/14
郭双玺^[12]	2011	陕西省	30	27/28	3/2
张亚雄^[13]	2011	北京市	105	85/65	20/40
张炎生^[14]	2012	湖南省	26	23/12	3/14
蒲玉洁^[15]	2017	甘肃省	14	9/8	5/6
周树明^[16]	2017	内蒙古	40	40/25	0/15
宋斌^[17]	2019	辽宁省	53	38/27	15/26

第一作者	年份	地区	例数	CT扫描/静脉肾盂造影(例)
第一作者	年份	地区	例数	诊断	未诊断
陈海松^[6]	2000	山东省	30	30/13	0/17
崔书君^[7]	2004	河北省	130	121/48	9/82
刘平^[8]	2008	河南省	24	22/4	2/20
王峰^[9]	2008	新疆省	54	49/34	5/21
叶印泉^[10]	2010	江西省	21	17/13	4/8
吴文娟^[11]	2010	湖北省	89	72/75	17/14
郭双玺^[12]	2011	陕西省	30	27/28	3/2
张亚雄^[13]	2011	北京市	105	85/65	20/40
张炎生^[14]	2012	湖南省	26	23/12	3/14
蒲玉洁^[15]	2017	甘肃省	14	9/8	5/6
周树明^[16]	2017	内蒙古	40	40/25	0/15
宋斌^[17]	2019	辽宁省	53	38/27	15/26

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