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[R-meta] Fwd: Question on Umbrella review and other types

Hi Imran,

I think the publication of new studies justifies an updated review, particularly if the existing reviews have inconsistent or inconclusive results.

You should, however, avoid to be selective with the studies, let alone selective based on the results! This would be publication bias. What you can do if you suppose there is a time effect is a metaregression with "year published" as a covariate.

Best,
Gerta


UNIVERSIT?TSKLINIKUM FREIBURG
Institute for Medical Biometry and Statistics

Dr. Gerta R?cker
Guest Scientist

Stefan-Meier-Stra?e 26 ? 79104 Freiburg
gerta.ruecker at uniklinik-freiburg.de

https://www.uniklinik-freiburg.de/imbi-en/employees.html?imbiuser=ruecker


-----Urspr?ngliche Nachricht-----
Von: Im via R-sig-meta-analysis <r-sig-meta-analysis at r-project.org> 
Gesendet: Montag, 22. April 2024 20:46
An: R Special Interest Group for Meta-Analysis <r-sig-meta-analysis at r-project.org>
Cc: Im <aligners79 at gmail.com>
Betreff: Re: [R-meta] Fwd: Question on Umbrella review and other types

Dear All!
Many thanks indeed for your much valuable replies.

My research is based on "Prognosis in relation to age in a carcinoma".
The study results are "young age patients have better prognosis", "old age
have worst prognosis", "age has not affect on prognostication" etc....
Is it possible to be selective in the studies in terms of time of studies
published etc., so that there can be some change in the analysis
than previous ones ?

With such a trivial number (only two) of previous SRMA, it seems better to
conduct a new SRMA instead. But I am bit concerned whether it is Ok
to conduct a new SRMA when the previously SRMA have been published with a
gap of just couple of years (2020 and 2021)?

So, if there is no problem in conducting a new SRMA, then I would be add
the studies and proceed with the routine "meta" package in R studios for
forest plots and funnel plots ?

best regards,
Imran

On Mon, Apr 22, 2024 at 6:35?PM Dr. Gerta R?cker via R-sig-meta-analysis <
r-sig-meta-analysis at r-project.org> wrote:

            
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