Literature DB >> 22379818

[Evaluation on application of common diagnosis methods for schistosomiasis japonica in endemic areas of China. III. Analysis and evaluation of underestimation of prevalence of Schistosoma japonicum infection by routine Kato-Katz technique].

Dan-Dan Lin1, Yue-Min Liu, Fei Hu, Yi-Feng Li, Bo Tao, Min Yuan, Shu-Ying Xie, Mei-Jiao Huang, Qiu-Lin Jiang, Jian-Ying Li, Zu-Lu Gao, Jin-Ming Wang.   

Abstract

OBJECTIVE: To understand the rates of underestimation of Schistosoma japonicum infection by Kato-Katz technique with different stool samples and different smears in field site.
METHODS: With 27 Kato-Katz thick smears (3 stool samples with 9 thick smears each) for 3 consecutive years as a "gold standard", the rates of underestimation of schistosome infection by Kato-Katz technique with different stool samples and different smears were evaluated in a schistosomiasis endemic village.
RESULTS: The examined rates of schistosome infection increased and the rates of underestimation decreased gradually with the increase of the number of Kato-Katz thick smears examined. The rates of underestimation of 3 smears were 40.98%-50.80% and the rates of underestimation of 6 smears were 25.48%-32.39%. The rates of schistosome infection based on the reading of 27 Kato-Katz thick smears were 10.96% in 2008, 8.54% in 2009 and 3.73% in 2010 respectively, but the rates of underestimation of various Kato-Katz thick smears were similar. There were no significant differences among the readings of 3, 6, and 9 smears of 1 stool sample, 3, 6 and 9 smears of 3 stool samples, 6 smears of 2 stool samples, 6 smears of 1 stool sample, and 6 smears of 3 stool samples.
CONCLUSIONS: In a community with low-intensity of schistosome infection, the rate of underestimation is big by Kato-Katz technique with the reading of 3 smears of 1 stool sample. It suggested that it is better to increase smears rather than the number of stool samples examined.

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Year:  2011        PMID: 22379818

Source DB:  PubMed          Journal:  Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi        ISSN: 1005-6661


  7 in total

Review 1.  A diagnostic challenge for Schistosomiasis japonica in China: consequences on praziquantel-based morbidity control.

Authors:  Yi-biao Zhou; Hui-min Zheng; Qing-wu Jiang
Journal:  Parasit Vectors       Date:  2011-10-07       Impact factor: 3.876

2.  The ratio of the seroprevalence to the egg-positive prevalence of Schistosoma japonicum in China: a meta-analysis.

Authors:  Yao Deng; Chen Qiu; Huan Ding; Da-Bing Lu
Journal:  BMC Infect Dis       Date:  2018-08-15       Impact factor: 3.090

3.  Field transmission intensity of Schistosoma japonicum measured by basic reproduction ratio from modified Barbour's model.

Authors:  Shu-Jing Gao; Yu-Ying He; Yu-Jiang Liu; Guo-Jing Yang; Xiao-Nong Zhou
Journal:  Parasit Vectors       Date:  2013-05-16       Impact factor: 3.876

4.  A novel immunodiagnostic assay to detect serum antibody response against selected soluble egg antigen fractions from Schistosoma japonicum.

Authors:  Yinchang Zhu; Wanquan Hua; Ming Xu; Wei He; Xiaoting Wang; Yang Dai; Song Zhao; Jianxia Tang; Shixia Wang; Shan Lu
Journal:  PLoS One       Date:  2012-08-31       Impact factor: 3.240

5.  Immune responses result in misdiagnosis of Schistosoma japonicum by immunodiagnosis kits in egg-positive patients living in a low schistosomiasis transmission area of China.

Authors:  Shu-Ying Xie; Min Yuan; Min-Jun Ji; Fei Hu; Zhao-Jun Li; Yue-Min Liu; Xiao-Jun Zeng; Hong-Gen Chen; Hai-Wei Wu; Dan-Dan Lin
Journal:  Parasit Vectors       Date:  2014-03-06       Impact factor: 3.876

6.  Reduction patterns of acute schistosomiasis in the People's Republic of China.

Authors:  Shi-Zhu Li; Hao Zheng; Eniola Michael Abe; Kun Yang; Robert Bergquist; Ying-Jun Qian; Li-Juan Zhang; Zhi-Min Xu; Jing Xu; Jia-Gang Guo; Ning Xiao; Xiao-Nong Zhou
Journal:  PLoS Negl Trop Dis       Date:  2014-05-08

7.  Establishment of a fluorescence staining method for Schistosoma japonicum miracidia.

Authors:  Yuanxi Shen; Rongyi Ji; Man Yang; Jiaojiao Lin; Hairong Wang; Chuangang Zhu; Qinkun Xu
Journal:  Sci Rep       Date:  2020-10-07       Impact factor: 4.379

  7 in total

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