Have a look at JASP, which has some pretty formidable meta analysis capabilities, and is free!

https://jasp-stats.org/meta-analysis-jasp/

Yes ive heard about it too - thankyou !

I think you can use "generic variance" function in Revman.

Use Generic inverse variance Data Type (RevMan Software) when you have data only in mean difference form for pre and postoperative outcomes.

Generic inverse variance Data Type is used when the data is available only in Mean Difference form (sometimes log ratio). The possible Effect Measures in Review Manager are Odds Ratio, Risk Ratio, Risk Difference, Mean Difference and Std. Mean Difference with IV Statistical Method.

Estimates and their SEs may be entered directly into RevMan under the ‘Generic inverse variance’ outcome. For ratio measures of intervention effect, the data should be entered as natural logarithms (for example as a log odds ratio and the standard error of the log odds ratio).

You can do both continuous as well as dichotomous Data Type.

https://www.researchgate.net/post/can_we_do_meta-analysis_of_single_arm_studies_observational_in_revman-for_continuous_as_well_as_dichotomous_data/1

https://www.researchgate.net/post/meta_analysis_of_a_prospective_observational_cohort_without_a_control

Prevalence-based meta-analysis (meta-analysis of proportions) for single arms can be done using R or STATA version 17 and above. Look into the ”metaprop” function on STATA.