2021
DOI: 10.1590/fst.18520
|View full text |Cite
|
Sign up to set email alerts
|

A meta-analysis: association between Beta-2 adrenergic receptor Arg16Gly polymorphism and asthma in China

Abstract: were searched using terms: ("asthma" or "asthmatic") and ("beta-2 adrenergic receptor" or "ADRB2" or "b2-AR") and "polymorphism" and ("Chinese" or "China"). The search had no restriction in language or publication status.Inclusion standards: (1) studies examining the relationship between ADRB2 Arg16Gly polymorphism and asthma, (2) study design with the case-control, (3) sufficient data of genotype frequency, (3) Chinese individuals. Exclusion standards: (1) overlapped literatures, (2) unextractable data, (3) n… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2022
2022
2023
2023

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(1 citation statement)
references
References 17 publications
0
1
0
Order By: Relevance
“…In this study, Excel software was used to classify the valid data from the papers. If the standard deviation SD in the paper was missing, 1/10 of the value of the experimental group and the control group were taken as the standard deviation according to the Andreas Gattingera method (Yan et al, 2021;Feng et al, 2021). If the 95% confidence interval (CI) of a set of data does not coincide with the 0 line, it is considered that the treatment has a significant effect on the target variable; if the interval is on the left side of the 0 line, there is a negative effect; if the interval is on the right side of the 0 line, there is a positive effect (Cai et al, 2020;Saigre-Tardif et al, 2022).…”
Section: Analysis Methodsmentioning
confidence: 99%
“…In this study, Excel software was used to classify the valid data from the papers. If the standard deviation SD in the paper was missing, 1/10 of the value of the experimental group and the control group were taken as the standard deviation according to the Andreas Gattingera method (Yan et al, 2021;Feng et al, 2021). If the 95% confidence interval (CI) of a set of data does not coincide with the 0 line, it is considered that the treatment has a significant effect on the target variable; if the interval is on the left side of the 0 line, there is a negative effect; if the interval is on the right side of the 0 line, there is a positive effect (Cai et al, 2020;Saigre-Tardif et al, 2022).…”
Section: Analysis Methodsmentioning
confidence: 99%