Meta analysis of detection rate of human adenovirus among different patients in China
10.3760/cma.j.cn112866-20200312-00061
- VernacularTitle:中国不同患者人腺病毒检出率Meta分析
- Author:
Dandan NIU
1
;
Zhen ZHU
;
Wenbo XU
;
Ying WANG
Author Information
1. 中国疾病预防控制中心病毒病预防控制所，北京 102206
- Keywords:
Human adenovirus;
Detection;
Meta regression
- From:
Chinese Journal of Experimental and Clinical Virology
2020;34(3):316-321
- CountryChina
- Language:Chinese
-
Abstract:
Objective:Human adenovirus(HAdV) can cause a variety of diseases, and sometimes leads to outbreaks of respiratory diseases, this study determines to understand the detection status of human adenovirus in the pathogenic spectrum of different diseases.Methods:This study conducted Meta analysis on the detection rate of human adenovirus in 284 studies that met the inclusion criteria and included heterogeneity test, pooling rate by random effect model, Meta regression, sensitivity analysis and publication bias analysis.Results:The detection rate varied greatly and heterogeneity of 284 studies was relatively large. Different method were used to reduce or analyze the heterogeneity: the total detection rate by random effect model was 4.21% (95% CI: 3.80%~4.66%); the detection rates of each subgroup were gastrointestinal diseases 5.06% (95% CI: 4.22%~6.06%), respiratory diseases 3.97% (95% CI: 3.53%~4.46%), children 4.50% (95% CI: 4.06%~4.99%), adults 2.09% (95% CI: 1.22%~3.56%), antigen test 1.94% (95% CI: 1.64%~2.30%), nucleic acid test 5.82% (95% CI: 5.21%~6.49%), serum test 5.60% (95% CI: 4.17%~7.48%), eastern 3.67% (95% CI: 3.18%~4.24%), central 6.07% (95% CI: 5.20%~7.08%), western 5.00% (95% CI: 4.03%~6.18%), ≤1 000 sample size 6.10% (95% CI: 5.39%~6.91%), > 1 000 sample size 2.66% (95% CI: 2.32%~3.05%); the significant factors of Meta regression analysis were disease type, age, detection method, research area, sample size and adjusted R2=37.15%. Conclusions:This study suggests that the Meta analysis needs to be improved to conduct pooling detection rate like HAdV with great heterogeneity. Different disease types, age, detection method, research area, sample size account for part of the resources for heterogeneity.
