[R-meta] Meta-Analisys whit events numbers, RR, OR and HR. It's possibe?

Dr. Gerta Rücker ruecker @end|ng |rom |mb|@un|-|re|burg@de
Sat Jan 23 20:10:53 CET 2021


Dear Martin,


I am not sure whether I understand your last post. So you have a 
time-to-event outcome, right? Then the HR (hazard ratio) would be the 
preferred effect measure. However, the point is that there is no 
easy-to-use formula to simply calculate RRs or ORs as hazard ratios, 
because they describe different aspects. The preferred way to handle 
this is to obtain as many as possible information from the primary 
studies and to use methods as described in the papers I have recommended 
to you.

The papers might present 1-year (or 2-year or 5-year) survival rates, or 
numbers of observed vs expected events, or full Kaplan-Meier curves or 
tables. Sometimes it is possible to obtain almost IPD information from 
figures, thus it could be valuable to take these into account.


Best,

Gerta



Am 23.01.2021 um 19:14 schrieb Martin Lobo:
> Hi Gerta !!!
> yes gerta, it's like you said.
> I have seen that with metagen it could be done but I think it would 
> open to pass everything to RR, OR or HR to use the Ln of these, and 
> with the p, or IC95% I could get the standard errors.
> But I don't quite understand what it would be like.
> Thanks
>
>
>
>
>
>
> */
> /*
> */Lorenzo Martín Lobo /**/^MTSAC, FACC, FESC /*
> /*Especialista Jerarquizado en Cardiología*/
> /*/*Jefe de Dpto Enf. Cardiovasculares y Cardiometabolismo Hospital 
> Militar Campo de Mayo.*/
> */
> /*/*Jefe de Cardiología *//*Hospital Militar Campo de Mayo*/
> */
> /*Ex Jefe de Unidad Coronaria *//*Hospital Militar Campo de Mayo*/
> /
> /*Miembro Titular de la Sociedad Argentina de Cardiología*/
> /
> /
> /*Fellow American College of Cardiology*/
> /
> /
> /*Fellow European Society of Cardiology*/
> /
> /
> /*/*Ex Miembro del Area de Investigación de la SAC*/*/
> /
> /*Ex Director del Consejo de Aterosclerosis y Trombosis de la SAC*/
> /*Miembro Asesor /*del Consejo de Aterosclerosis y Trombosis de la SAC*/*/
> /*/
> /*/
> /*Ex Director del Consejo de Epidemiología y Prevención Cardiovascular 
> de la SAC*/
> /*/
> /*/
> /*/
> /*//*/
> /*/
> /*Miembro Asesor del Consejo de Epidemiología y Prevención 
> Cardiovascular de la SAC*/
> /*/
> /*/
> /*/
> /*/
> /*Experto en Lipidos de la Sociedad Argentina de Lipidos.*/
> /*Miembro de la Sociedad Argentina de Lipidos.*/
> /
> /*Instructor de ACLS de la American Heart Association*/
> /
>
>
> ------------------------------------------------------------------------
> *De:* Dr. Gerta Rücker <ruecker using imbi.uni-freiburg.de>
> *Enviado:* sábado, 23 de enero de 2021 15:09
> *Para:* Martin Lobo <mlobo4370 using hotmail.com>; 
> r-sig-meta-analysis using r-project.org <r-sig-meta-analysis using r-project.org>
> *Asunto:* Re: [R-meta] Meta-Analisys whit events numbers, RR, OR and 
> HR. It's possibe?
>
> Dear Martin,
>
> My first question is: What kind of outcome do you have? HR is for a 
> time-to-event outcome, for example survival, the others are for a 
> binary outcome, for example death within a certain (fixed) time 
> interval. They don't describe the same thing.
>
> For extracting data for a time-to-event outcome, there are a number of 
> papers, for example
>
> Tierney et al. (providing an excel sheet): 
> https://trialsjournal.biomedcentral.com/articles/10.1186/1745-6215-8-16 
> <https://na01.safelinks.protection.outlook.com/?url=https%3A%2F%2Ftrialsjournal.biomedcentral.com%2Farticles%2F10.1186%2F1745-6215-8-16&data=04%7C01%7C%7Cd4e0812098a143f04ac608d8bfc9f345%7C84df9e7fe9f640afb435aaaaaaaaaaaa%7C1%7C0%7C637470221384519523%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=XEb%2FKUDgweUfvQmEgIYoL%2BmZhOY7d8yS%2FtL3w9HSfOg%3D&reserved=0>
>
> Parmar et al.: 
> https://doi.org/10.1002/(SICI)1097-0258(19981230)17:24<2815::AID-SIM110>3.0.CO;2-8 
> <https://na01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdoi.org%2F10.1002%2F(SICI)1097-0258(19981230)17%3A24%253C2815%3A%3AAID-SIM110%253E3.0.CO%3B2-8&data=04%7C01%7C%7Cd4e0812098a143f04ac608d8bfc9f345%7C84df9e7fe9f640afb435aaaaaaaaaaaa%7C1%7C0%7C637470221384529519%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=pm5gaiTo5k6etxSAXGyDdHej3DZNvyhSm03saP7hu9o%3D&reserved=0>
>
> Best,
> Gerta
>
> Am 23.01.2021 um 13:23 schrieb Martin Lobo:
>> Hi everyone !!!
>> I need performed a meta-analisys, but i have a problem whith de data extractions.
>> In 3 papers I have:
>> event.e, n.e, event.c, n.c (or  ai=tpos, bi=tneg, ci=cpos, di=cneg)
>>
>> In another papers I have:
>>
>> n.e, n.c and HR
>> In another papers I have:
>>
>> n.e, n.c and OR
>> In another papers I have:
>>
>> n.e, n.c and RR
>>
>> I have read in the cochraine manual that it could be meta-analyzed, but I don't know how.
>>
>> Should I transform everything to the same summary measure?
>>
>> How would these measures be transformed?
>>
>> How would the meta-analysis with the transformed measurements.
>>
>> Sorry so many questions but I need your help.
>>
>> Regards
>>
>>
>>
>>
>>
>>
>> Lorenzo Mart�n Lobo MTSAC, FACC, FESC
>> Especialista Jerarquizado en Cardiolog�a
>> Jefe de Dpto Enf. Cardiovasculares y Cardiometabolismo Hospital Militar Campo de Mayo.
>> Jefe de Cardiolog�a Hospital Militar Campo de Mayo
>> Ex Jefe de Unidad Coronaria Hospital Militar Campo de Mayo
>> Miembro Titular de la Sociedad Argentina de Cardiolog�a
>> Fellow American College of Cardiology
>> Fellow European Society of Cardiology
>> Ex Miembro del Area de Investigaci�n de la SAC
>> Ex Director del Consejo de Aterosclerosis y Trombosis de la SAC
>> Miembro Asesor del Consejo de Aterosclerosis y Trombosis de la SAC
>> Ex Director del Consejo de Epidemiolog�a y Prevenci�n Cardiovascular de la SAC
>>
>> Miembro Asesor del Consejo de Epidemiolog�a y Prevenci�n Cardiovascular de la SAC
>>
>>
>> Experto en Lipidos de la Sociedad Argentina de Lipidos.
>> Miembro de la Sociedad Argentina de Lipidos.
>> Instructor de ACLS de la American Heart Association
>>
>>
>> 	[[alternative HTML version deleted]]
>>
>>
>> _______________________________________________
>> R-sig-meta-analysis mailing list
>> R-sig-meta-analysis using r-project.org  <mailto:R-sig-meta-analysis using r-project.org>
>> https://stat.ethz.ch/mailman/listinfo/r-sig-meta-analysis  <https://na01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fstat.ethz.ch%2Fmailman%2Flistinfo%2Fr-sig-meta-analysis&data=04%7C01%7C%7Cd4e0812098a143f04ac608d8bfc9f345%7C84df9e7fe9f640afb435aaaaaaaaaaaa%7C1%7C0%7C637470221384539516%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=Ll8jRB2cl88R8UZ2oz%2Byss4OngLtkuzHmbJHIeM6RDI%3D&reserved=0>

	[[alternative HTML version deleted]]



More information about the R-sig-meta-analysis mailing list