[R-meta] Is this R script correct for conducting a meta-analysis of AOR for hypertension prevalence?

[Sancho Xavier]

Dear Michael,

Thank you for your response. I did not apply any moderator for the pooled OR in the meta-analysis. Could you clarify something for me?
In a meta-analysis, is it always necessary to calculate the pooled OR including a moderator variable?
Another question:
Was the pooled OR supposed to be significant in the following conde (image):

[cid:e86aae67-ad2a-4dec-a5f5-4a214aed2118]

Results:
[cid:aca4f231-bf57-496a-893a-c1f29cf695eb]

Dataset:

[cid:51413303-309e-44f9-b5db-e6de14dbf480]

Do you have any suggestions, ideas, or observations about the scripts and results based on the dataset?

Best wishes,

Sancho Xavier
Candidate for Postgraduate Programme in Epidemiology in Public Health
MBA in Data Science and Analytics at USP (ongoing)
Linkedin: linkedin.com/in/sancho-xavier-59565a18a
Orcid iD: https://orcid.org/0000-0001-9493-4098
Web of Science (Clarivate): https://www.webofscience.com/wos/author/record/GON-5675-2022
Reference Citation Analysis (RCA): https://referencecitationanalysis.com/00001471
Whatsapp: +258 852255846
------------------------------------------------------------------------------
________________________________
De: Michael Dewey <lists using dewey.myzen.co.uk>
Enviado: quarta-feira, 31 de julho de 2024 05:05
Para: R Special Interest Group for Meta-Analysis <r-sig-meta-analysis using r-project.org>
Cc: Sancho Xavier <sanchoxavierxavier using gmail.com>
Assunto: Re: [R-meta] Is this R script correct for conducting a meta-analysis of AOR for hypertension prevalence?

Dear Sancho

Are you intending to use the variable you have named variable as a
moderator? If not the code looks fine to me although I do not usually
use that package (I assume it is meta).

Michael

On 27/07/2024 00:18, Sancho Xavier via R-sig-meta-analysis wrote:
> *Hi, community!*
> I am conducting a meta-analysis and meta-regression to calculate the
> */pooled adjusted odds ratio (AOR)/* and */I² with the p-value/* for
> variables associated with hypertension prevalence. I have a dataset with
> the following columns:
>
>   * *study_id:* Study identifier
>   * *AOR:* Adjusted odds ratio (each independent variable)
>   * *lower_CI:* Lower confidence interval (each independent variable)
>   * *upper_CI:* Upper confidence interval (each independent variable)
>   * *variable:* Independent variable
>
> Here is the script I am using in *R*:
>
> *# Calculate the standard error (seTE)*
> *
> *
> data$seTE <- (log(data$upper_CI) - log(data$lower_CI)) / (2 * 1.96)
>
> *# Meta-analysis*
> *
> *
> meta_analysis <- metagen(TE = log(data$AOR),
> seTE = data$seTE,
> data = data,
> studlab = data$study_id,
> comb.fixed = TRUE,
> comb.random = TRUE)
>
> *I would like to know if this script is correct for achieving my goals of:*
>
>   * Calculating the pooled AOR and the 95% confidence interval.
>   *
>     Calculating the I² and the p-value to assess heterogeneity.
>
> Look at the dataset:
>
> Any feedback or suggestions for improvement would be greatly appreciated!
>
> Thank you!
>
> *Sancho Xavier*
> Candidate for Postgraduate Programme in Epidemiology in Public Health
> MBA in Data Science and Analytics at USP (ongoing)
> *Linkedin:* linkedin.com/in/sancho-xavier-59565a18a
> *Orcid iD:* https://orcid.org/0000-0001-9493-4098
> *Web of Science (Clarivate):*
> https://www.webofscience.com/wos/author/record/GON-5675-2022
> <https://www.webofscience.com/wos/author/record/GON-5675-2022>
> *Reference Citation Analysis (RCA):
> *https://referencecitationanalysis.com/00001471
> <https://referencecitationanalysis.com/00001471>
> *Whatsapp: *+258 852255846
> ------------------------------------------------------------------------------
>
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--
Michael

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