[HIV positive rate from different detection methods in medical institutions in China: a Meta analysis].
Zhonghua Yu Fang Yi Xue Za Zhi
; 54(11): 1289-1294, 2020 Nov 06.
Article
in Zh
| MEDLINE
| ID: mdl-33147931
ABSTRACT
Objective:
To analyze the HIV positive detection rate from different detection channels in Chinese medical institutions.Methods:
A Meta-analysis was conducted. First of all, the literature on HIV testing of medical institutions in China was systematically searched on China National Knowledge Infrastructure, Wanfang Data Knowledge Service Platform, VIP Information Chinese journal Service platform and PubMed. Secondly, a self-made information table was used to collect the basic information, HIV positive number and test number of the literature. Finally, R 4.0.2 software was used to calculate the pooled HIV detection rate and 95%CI of the whole population, detection approaches subgroups and regions subgroups, and then the forest map was drawn. Funnel plot was used to analyze publication bias.Results:
A total of 45 studies which covered 22 provinces. Meta analysis showed that the pooled HIV positive rate was 0.82 (95%CI 0.62-1.04). Subgroup analysis showed that the HIV positive rate of STD outpatient was the highest (3.01 (95%CI 1.76-4.58), followed by other patients (1.43 (95%CI 1.00-1.93)). The HIV positive rate of western China was the highest (1.14 (95%CI 0.72-1.63)). The HIV positive rate in 2008-2017 was higher than in 2000-2007. The Egger test indicated no publication bias (t=-0.737, P=0.465).Conclusion:
The HIV positive detection rate of patients in medical institutions in China was at a low level, but the positive rate of patients in STD clinics was relatively high. Therefore, the HIV testing should be further expanded in this population. Secondly, HIV screening should be strengthened for other patients.Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
HIV Infections
/
Mass Screening
Type of study:
Diagnostic_studies
/
Prognostic_studies
/
Screening_studies
/
Systematic_reviews
Limits:
Humans
Country/Region as subject:
Asia
Language:
Zh
Journal:
Zhonghua Yu Fang Yi Xue Za Zhi
Year:
2020
Document type:
Article
Affiliation country: