Metaregression - Interpreting the output from R studio

Question about intepretation of Metaregression outputs.

I have performed a metaanalysis of proportions (Meta package metaprop function)

I have performed several separate metaregressions of some of my continuous variables and categorical variables.

The output I get for one of the analyses (where I assess if the heterogenity in the MA is influenced by the continuous variable: Male_Percent, the % of males in each study cohort) is listed as below:

Mixed-Effects Model (k = 78; tau^2 estimator: REML)

tau^2 (estimated amount of residual heterogeneity): 0.4088 (SE = 0.0921)
tau (square root of estimated tau^2 value): 0.6394
I^2 (residual heterogeneity / unaccounted variability): 88.54%
H^2 (unaccounted variability / sampling variability): 8.73
R^2 (amount of heterogeneity accounted for): 4.41%

Test for Residual Heterogeneity:
QE(df = 76) = 643.7230, p-val < .0001

Test of Moderators (coefficient 2):
QM(df = 1) = 3.8379, p-val = 0.0501

Model Results:

          estimate      se     zval    pval    ci.ub 

intrcpt -0.9948 0.4728 -2.1042 0.0354 -1.9214 -0.0682 *
Male_Percent -0.0165 0.0084 -1.9590 0.0501 -0.0330 0.0000 .

Signif. codes: 0 ‘’ 0.001 ‘’ 0.01 ‘’ 0.05 ‘.’ 0.1 ‘ ’ 1

My Questions:
What is the purpose of the row of results labelled 'intrcpt' compared to the row labelled 'Male percent'?
I assume I take the readings in the row 'male_percent' but know know the meaning of the 'intrcpt' results. Is there somewhere in the R-studio manual that explains what the outputs mean?

Thanks for any advice you can give.

This topic was automatically closed 42 days after the last reply. New replies are no longer allowed.

If you have a query related to it or one of the replies, start a new topic and refer back with a link.