test for cumulative analysis of outcomes over time in meta-analysis

A systematic review and meta-analysis I am reading references having tested for chronological cumulative analysis for the effects of the outcomes (mortality and neuro outcomes). They report no significance but don't give any information of what tests were actually performed. They seem to have some degree of sensitivity analysis built in whereby they adjusted with adding and removing specific trial data.
My question is this, what would have been the most appropriate test to use for this analysis? 6 trials were included, considered moderately heterogeneous and conducted over a 15 year time period
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Omega Contributor
In clinical trials there is interim data analysis. I have only seen it once in meta analyses, but the is a similar approach in where they control for repeated testing and false discovery. It was my impression that for the most part you do the typical MA methods but correct the significance value. Yes, there is a name for this approach, but it slips my mind.

Does this sound like your scenario?
Honestly not completely sure. I know in a single trial, survival analysis like Kaplan-Meier curves can be used or perhaps proportional hazards. I am not sure how that would work, or of it can work looking at multiple studies being pooled. I find it an interesting idea though as the intervention in question - hypothermia in post resuscitation pts, is somewhat unchanged but other advances in care over a 15 year period have certainly changed. How to test that survival has improved or worsened over time between studies independent of hypothermia use is what I would like to know.


Omega Contributor
If you are referencing a particular study you can post a pubmed link so we can see what you are writing about. I think I remember the study.