I have a bunch of studies that report a physiological parameter (mean, SD) measured at certain time points for their patients.
Given that this data is not independent; in R, how can I perform a meta-analysis with this data to find out if the pooled value of the parameter at time t1 is different from the value at t0?

I´ve tried dosresmeta package to build pooled linear, and non-linear models; but I have no backup that this package actually works for paired (multiple time points) data.
I´m thinking about ANOVA but I have no idea how to pool paired data.