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Dears Michel and <span style="color: rgb(51, 51, 51); font-family: "Segoe UI", "Segoe UI Web (West European)", "Segoe UI", -apple-system, BlinkMacSystemFont, Roboto, "Helvetica Neue", sans-serif; font-size: 14.6667px; background-color: rgb(255, 255, 255); display: inline !important">Wolfgang:</span></div>
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for your answers.</span></div>
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<span style="color: rgb(51, 51, 51); font-family: "Segoe UI", "Segoe UI Web (West European)", "Segoe UI", -apple-system, BlinkMacSystemFont, Roboto, "Helvetica Neue", sans-serif; font-size: 14.6667px; background-color: rgb(255, 255, 255); display: inline !important"><br>
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have seen several meta-analysis publications with adjusted summary measures. These meta-analyzes are not individual data. I attach a meta-analysis of what I want to do to clarify the idea of what I'm trying to do.</span></div>
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<font face="Courier New"><b><i><span style="line-height:16.05px; color:rgb(38,114,236)"><font size="5">Lorenzo Martín Lobo </font></span></i></b></font><font face="Courier New"><b><i><sup><span style="line-height:13.375px; color:rgb(38,114,236)"><font size="1">MTSAC,
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<div id="divRplyFwdMsg" dir="ltr"><font face="Calibri, sans-serif" color="#000000" style="font-size:11pt"><b>De:</b> R-sig-meta-analysis <r-sig-meta-analysis-bounces@r-project.org> en nombre de r-sig-meta-analysis-request@r-project.org <r-sig-meta-analysis-request@r-project.org><br>
<b>Enviado:</b> lunes, 18 de marzo de 2019 13:18<br>
<b>Para:</b> r-sig-meta-analysis@r-project.org<br>
<b>Asunto:</b> R-sig-meta-analysis Digest, Vol 22, Issue 18</font>
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Today's Topics:<br>
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1. Re: R-sig-meta-analysis Digest, Vol 22, Issue 17 (Martin Lobo)<br>
2. Re: doubt about meta analysis (Martin Lobo)<br>
3. Re: doubt about meta analysis (Viechtbauer, Wolfgang (SP))<br>
<br>
----------------------------------------------------------------------<br>
<br>
Message: 1<br>
Date: Mon, 18 Mar 2019 15:51:56 +0000<br>
From: Martin Lobo <mlobo4370@hotmail.com><br>
To: "r-sig-meta-analysis-request@r-project.org"<br>
<r-sig-meta-analysis-request@r-project.org>,<br>
"r-sig-meta-analysis@r-project.org"<br>
<r-sig-meta-analysis@r-project.org><br>
Subject: Re: [R-meta] R-sig-meta-analysis Digest, Vol 22, Issue 17<br>
Message-ID:<br>
<MN2PR20MB28141D4DD38574420411E625AC470@MN2PR20MB2814.namprd20.prod.outlook.com><br>
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<br>
Dear Michael, thank you for answering, this technique has been used for several years, and in general the original publications do not include the adjusted values. Imagine that it would be very difficult for all publications to include adjustment for the variables
that interest us. Even some meta-analyzes adjust for years of publication, something interesting due to changes in the way patients are treated year after year.<br>
<br>
Lorenzo Martín Lobo MTSAC, FACC, FESC<br>
Especialista Jerarquizado en Cardiología<br>
Ex Jefe de Unidad Coronaria<br>
Hospital Militar Campo de Mayo<br>
Miembro Titular de la Sociedad Argentina de Cardiología<br>
Fellow American College of Cardiology<br>
Fellow European Society of Cardiology<br>
Miembro del Area de Investigación de la SAC<br>
Director del Consejo de Aterosclerosis y Trombosis de la SAC<br>
Ex Director y actual Miembro Asesor del Consejo de Epidemiología y Prevención Cardiovascular de la SAC<br>
<br>
Instructor de ACLS de la AHA para la Fundación Cardiológica Argentina<br>
<br>
<br>
________________________________<br>
De: R-sig-meta-analysis <r-sig-meta-analysis-bounces@r-project.org> en nombre de r-sig-meta-analysis-request@r-project.org <r-sig-meta-analysis-request@r-project.org><br>
Enviado: lunes, 18 de marzo de 2019 08:07<br>
Para: r-sig-meta-analysis@r-project.org<br>
Asunto: R-sig-meta-analysis Digest, Vol 22, Issue 17<br>
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Today's Topics:<br>
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1. Re: doubt about meta analysis (Michael Dewey)<br>
<br>
----------------------------------------------------------------------<br>
<br>
Message: 1<br>
Date: Sun, 17 Mar 2019 16:13:22 +0000<br>
From: Michael Dewey <lists@dewey.myzen.co.uk><br>
To: Martin Lobo <mlobo4370@hotmail.com>,<br>
"r-sig-meta-analysis@r-project.org"<br>
<r-sig-meta-analysis@r-project.org><br>
Subject: Re: [R-meta] doubt about meta analysis<br>
Message-ID: <56fe7327-206b-fa39-1be2-57a11083cb93@dewey.myzen.co.uk><br>
Content-Type: text/plain; charset="utf-8"; Format="flowed"<br>
<br>
Dear Martin<br>
<br>
Unless either (a) the primary studies have published the adjusted OR, or<br>
(b) you have the original data and can calculate it then I think the<br>
answer is that waht you want to do is not possible.<br>
<br>
Michael<br>
<br>
On 17/03/2019 06:41, Martin Lobo wrote:<br>
> Hi, my name is martin lobo. I�m cardiologist from argentina.<br>
> I would like to ask you a question. I am wanting to do a meta analysis with the meta and metafor packages in R. I have not managed to adjust the odds ratio for certain covariates. That is, I need part of the crude OR, an adjusted OR for example, by age, cholesterol,
sex, etc. Could I be oriented to achieve this type of adjustment in the meta analysis?<br>
> From already thank you very much<br>
><br>
> Lorenzo Mart�n Lobo MTSAC, FACC, FESC<br>
> Especialista Jerarquizado en Cardiolog�a<br>
> Ex Jefe de Unidad Coronaria<br>
> Hospital Militar Campo de Mayo<br>
> Miembro Titular de la Sociedad Argentina de Cardiolog�a<br>
> Fellow American College of Cardiology<br>
> Fellow European Society of Cardiology<br>
> Miembro del Area de Investigaci�n de la SAC<br>
> Director del Consejo de Aterosclerosis y Trombosis de la SAC<br>
> Ex Director y actual Miembro Asesor del Consejo de Epidemiolog�a y Prevenci�n Cardiovascular de la SAC<br>
><br>
> Instructor de ACLS de la AHA para la Fundaci�n Cardiol�gica Argentina<br>
><br>
><br>
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--<br>
Michael<br>
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Message: 2<br>
Date: Mon, 18 Mar 2019 15:52:28 +0000<br>
From: Martin Lobo <mlobo4370@hotmail.com><br>
To: Michael Dewey <lists@dewey.myzen.co.uk>,<br>
"r-sig-meta-analysis@r-project.org"<br>
<r-sig-meta-analysis@r-project.org><br>
Subject: Re: [R-meta] doubt about meta analysis<br>
Message-ID:<br>
<MN2PR20MB2814A1824A2FC8934E97BA24AC470@MN2PR20MB2814.namprd20.prod.outlook.com><br>
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Content-Type: text/plain; charset="utf-8"<br>
<br>
Dear Michael, thank you for answering, this technique has been used for several years, and in general the original publications do not include the adjusted values. Imagine that it would be very difficult for all publications to include adjustment for the variables
that interest us. Even some meta-analyzes adjust for years of publication, something interesting due to changes in the way patients are treated year after year.<br>
<br>
<br>
Lorenzo Martín Lobo MTSAC, FACC, FESC<br>
Especialista Jerarquizado en Cardiología<br>
Ex Jefe de Unidad Coronaria<br>
Hospital Militar Campo de Mayo<br>
Miembro Titular de la Sociedad Argentina de Cardiología<br>
Fellow American College of Cardiology<br>
Fellow European Society of Cardiology<br>
Miembro del Area de Investigación de la SAC<br>
Director del Consejo de Aterosclerosis y Trombosis de la SAC<br>
Ex Director y actual Miembro Asesor del Consejo de Epidemiología y Prevención Cardiovascular de la SAC<br>
<br>
Instructor de ACLS de la AHA para la Fundación Cardiológica Argentina<br>
<br>
<br>
________________________________<br>
De: Michael Dewey <lists@dewey.myzen.co.uk><br>
Enviado: domingo, 17 de marzo de 2019 13:13<br>
Para: Martin Lobo; r-sig-meta-analysis@r-project.org<br>
Asunto: Re: [R-meta] doubt about meta analysis<br>
<br>
Dear Martin<br>
<br>
Unless either (a) the primary studies have published the adjusted OR, or<br>
(b) you have the original data and can calculate it then I think the<br>
answer is that waht you want to do is not possible.<br>
<br>
Michael<br>
<br>
On 17/03/2019 06:41, Martin Lobo wrote:<br>
> Hi, my name is martin lobo. I�m cardiologist from argentina.<br>
> I would like to ask you a question. I am wanting to do a meta analysis with the meta and metafor packages in R. I have not managed to adjust the odds ratio for certain covariates. That is, I need part of the crude OR, an adjusted OR for example, by age, cholesterol,
sex, etc. Could I be oriented to achieve this type of adjustment in the meta analysis?<br>
> From already thank you very much<br>
><br>
> Lorenzo Mart�n Lobo MTSAC, FACC, FESC<br>
> Especialista Jerarquizado en Cardiolog�a<br>
> Ex Jefe de Unidad Coronaria<br>
> Hospital Militar Campo de Mayo<br>
> Miembro Titular de la Sociedad Argentina de Cardiolog�a<br>
> Fellow American College of Cardiology<br>
> Fellow European Society of Cardiology<br>
> Miembro del Area de Investigaci�n de la SAC<br>
> Director del Consejo de Aterosclerosis y Trombosis de la SAC<br>
> Ex Director y actual Miembro Asesor del Consejo de Epidemiolog�a y Prevenci�n Cardiovascular de la SAC<br>
><br>
> Instructor de ACLS de la AHA para la Fundaci�n Cardiol�gica Argentina<br>
><br>
><br>
> [[alternative HTML version deleted]]<br>
><br>
><br>
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> R-sig-meta-analysis mailing list<br>
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--<br>
Michael<br>
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Message: 3<br>
Date: Mon, 18 Mar 2019 16:07:17 +0000<br>
From: "Viechtbauer, Wolfgang (SP)"<br>
<wolfgang.viechtbauer@maastrichtuniversity.nl><br>
To: Martin Lobo <mlobo4370@hotmail.com>, Michael Dewey<br>
<lists@dewey.myzen.co.uk>, "r-sig-meta-analysis@r-project.org"<br>
<r-sig-meta-analysis@r-project.org><br>
Subject: Re: [R-meta] doubt about meta analysis<br>
Message-ID: <cd858502d4544fee9c8fc6cc37942413@UM-MAIL3214.unimaas.nl><br>
Content-Type: text/plain; charset="utf-8"<br>
<br>
Dear Lorenzo,<br>
<br>
It isn't clear to me what exactly it is that you are after. As Michael said, only the primary studies can provide adjusted ORs (or if you had the raw data and would do an 'individual patient data meta-analysis'). Of course, one can include predictors ('moderators')
in a meta-regression model, but that isn't the same thing as adjusting ORs based on individual patient data.<br>
<br>
To use the example of using publication year as a moderator:<br>
<br>
### load metafor package<br>
library(metafor)<br>
<br>
### calculate log odds ratios and corresponding sampling variances<br>
dat <- escalc(measure="OR", ai=tpos, bi=tneg, ci=cpos, di=cneg, data=dat.bcg)<br>
<br>
### meta-regression model with 'year' as moderator<br>
res <- rma(yi, vi, mods = ~ year, data=dat)<br>
res<br>
<br>
One can compute predicted ORs at various values of 'year' now. For example:<br>
<br>
### predicted OR in 1966<br>
predict(res, newmods=1966, transf=exp)<br>
<br>
I wouldn't call this an 'adjusted' OR though. It is simply the predicted OR in 1966 based on this model.
<br>
<br>
Best,<br>
Wolfgang<br>
<br>
-----Original Message-----<br>
From: R-sig-meta-analysis [<a href="mailto:r-sig-meta-analysis-bounces@r-project.org">mailto:r-sig-meta-analysis-bounces@r-project.org</a>] On Behalf Of Martin Lobo<br>
Sent: Monday, 18 March, 2019 16:52<br>
To: Michael Dewey; r-sig-meta-analysis@r-project.org<br>
Subject: Re: [R-meta] doubt about meta analysis<br>
<br>
Dear Michael, thank you for answering, this technique has been used for several years, and in general the original publications do not include the adjusted values. Imagine that it would be very difficult for all publications to include adjustment for the variables
that interest us. Even some meta-analyzes adjust for years of publication, something interesting due to changes in the way patients are treated year after year.<br>
<br>
Lorenzo Martín Lobo MTSAC, FACC, FESC<br>
Especialista Jerarquizado en Cardiología<br>
Ex Jefe de Unidad Coronaria<br>
Hospital Militar Campo de Mayo<br>
Miembro Titular de la Sociedad Argentina de Cardiología<br>
Fellow American College of Cardiology<br>
Fellow European Society of Cardiology<br>
Miembro del Area de Investigación de la SAC<br>
Director del Consejo de Aterosclerosis y Trombosis de la SAC<br>
Ex Director y actual Miembro Asesor del Consejo de Epidemiología y Prevención Cardiovascular de la SAC<br>
<br>
Instructor de ACLS de la AHA para la Fundación Cardiológica Argentina<br>
<br>
________________________________<br>
De: Michael Dewey <lists@dewey.myzen.co.uk><br>
Enviado: domingo, 17 de marzo de 2019 13:13<br>
Para: Martin Lobo; r-sig-meta-analysis@r-project.org<br>
Asunto: Re: [R-meta] doubt about meta analysis<br>
<br>
Dear Martin<br>
<br>
Unless either (a) the primary studies have published the adjusted OR, or<br>
(b) you have the original data and can calculate it then I think the<br>
answer is that waht you want to do is not possible.<br>
<br>
Michael<br>
<br>
On 17/03/2019 06:41, Martin Lobo wrote:<br>
> Hi, my name is martin lobo. I�m cardiologist from argentina.<br>
> I would like to ask you a question. I am wanting to do a meta analysis with the meta and metafor packages in R. I have not managed to adjust the odds ratio for certain covariates. That is, I need part of the crude OR, an adjusted OR for example, by age, cholesterol,
sex, etc. Could I be oriented to achieve this type of adjustment in the meta analysis?<br>
> From already thank you very much<br>
><br>
> Lorenzo Mart�n Lobo MTSAC, FACC, FESC<br>
> Especialista Jerarquizado en Cardiolog�a<br>
> Ex Jefe de Unidad Coronaria<br>
> Hospital Militar Campo de Mayo<br>
> Miembro Titular de la Sociedad Argentina de Cardiolog�a<br>
> Fellow American College of Cardiology<br>
> Fellow European Society of Cardiology<br>
> Miembro del Area de Investigaci�n de la SAC<br>
> Director del Consejo de Aterosclerosis y Trombosis de la SAC<br>
> Ex Director y actual Miembro Asesor del Consejo de Epidemiolog�a y Prevenci�n Cardiovascular de la SAC<br>
><br>
> Instructor de ACLS de la AHA para la Fundaci�n Cardiol�gica Argentina<br>
<br>
<br>
------------------------------<br>
<br>
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