[R-meta] Facing some issues on Meta - regression

[Sancho Xavier]

Hi everyone, I hope you're all doing well.
I need your help with something. I'm applying a meta-regression on a dataset where I initially used the metaprop function to obtain the pooled proportions of hypertension. Now, I'm trying to understand how variables like the year of publication, study type, and publication pathways influence the effect size (proportion) in the meta-analysis.
Dataset (called "hiper")
[cid:7fbab9a8-0f72-44bd-ad97-2e17a7d4568b]

Here are the scripts I used:
First, I applied metaprop:
[cid:cd051df0-f6ac-4123-ae10-b194bfea08c2]

Next, I applied the meta-regression:
[cid:a0b758aa-ec81-497a-8fd6-208790109d3f]

After generating the plot (see below), I noticed that without transforming the TE and seTE values, the proportions on the x-axis appear as negative values. I would like to know if my scripts for the meta-regression are correct and whether it would be necessary to apply a logarithmic transformation (transf.ilogit(m.prop$TE) and transf.ilogit(m.prop$seTE)) to fix this.
Additionally, I would appreciate your advice on which method is more appropriate: using the transformed values or the non-transformed ones?
[cid:5612e885-24f0-4220-85f4-dc3fcb752570]

 Thanks in advance for your help!
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
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