Mentions
Extended reach
Total likes
Video views
AI synopsis
The discussions highlight the critical need for rigorous methodologies in observational studies, with comments like 'we need to do better' and 'this paper explains nicely why we need to demand greater rigor' signaling a proactive approach to the publication's themes. The tone is serious yet constructive, indicating a collective desire to advance the quality of research in cardiology.
The overwhelming majority of discussions express strong support for the publication's call for improved rigor in observational research.
Participants show a high level of curiosity and concern for the credibility issues in their field.
Many posts indicate a deep engagement with the content, referencing specific methods and the implications of the research.
There is a consensus that the publication has considerable influence on future research practices and methodologies.
It can be difficult to discern high quality observational studies from the rest. But it is critical that we try. Sharing some of the things I've learned here: Bringing the Credibility Revolution to Observational Research in Cardiology | Circulation https://t.co/bOrbpsdkL4
"Fueled by the ubiquity of data, an explosion of medical journals, and the unchecked incentive to publish, CV observational research has descended more deeply into a credibility crisis." @rwyeh challenges both enthusiasts & nay-sayers to do better.
I missed this interesting MUST READ Perspective in @CircAHA last year by @rwyeh
@MaartenvSmeden This opinion piece by @rwyeh expresses my views on this topic well. Most observational studies of comparative effectiveness are only relevant with a causal interpretation. We need to acknowledge this and insist that authors not skirt the issue. https://t.co/FOKmTH3fQL
@pomyers @DavidLBrownMD @Coronary4front @pash22 @JoeSabik @RuelMarc1 @FaisalBakaeen @VictorDayan1 @ovidiogarciav @drbypass @GianTorre610 @GreggWStone @mmamas1973 @mirvatalasnag @DocSavageTJU @sbrugaletta Unfortunately, the study is meaningless if it can’t be interpreted causally. Use of non-causal language doesnt help when everyone (even the authors) interprets the findings as causal. This paper by @rwyeh explains nicely why we need to do better. https://t.co/FOKmTH3fQL
What can medicine learn from @metrics52 and colleagues, and the impact of their work on understanding the causal effects of policies, interventions and treatments? Quite a lot. I wrote a bit about this here. https://t.co/5TnjlJO2ey https://t.co/YjCraJ3Icj
Cardiology researchers Bob Harrington and Bobby Yeh discuss methods to improve observational research credibility. They emphasize rigorous methodologies and transparency to ensure reliable results that bridge clinical…
This week's podcast discusses observational studies, defense of digoxin, and potential advances in cardiovascular protection, focusing on how digoxin impacts mortality, morbidity, and hospitalization in heart failure…
RT @rwyeh: It can be difficult to discern high quality observational studies from the rest. But it is critical that we try. Sharing some…
RT @rwyeh: What can medicine learn from @metrics52 and colleagues, and the impact of their work on understanding the causal effects of poli…
RT @rwyeh: What can medicine learn from @metrics52 and colleagues, and the impact of their work on understanding the causal effects of poli…
RT @rwyeh: What can medicine learn from @metrics52 and colleagues, and the impact of their work on understanding the causal effects of poli…
RT @rwyeh: What can medicine learn from @metrics52 and colleagues, and the impact of their work on understanding the causal effects of poli…
What can medicine learn from @metrics52 and colleagues, and the impact of their work on understanding the causal effects of policies, interventions and treatments? Quite a lot. I wrote a bit about this here. https://t.co/5TnjlJO2ey https://t.co/YjCraJ3Icj
RT @AnastasiaSMihai: I missed this interesting MUST READ Perspective in @CircAHA last year by @rwyeh
RT @AnastasiaSMihai: I missed this interesting MUST READ Perspective in @CircAHA last year by @rwyeh
RT @AnastasiaSMihai: I missed this interesting MUST READ Perspective in @CircAHA last year by @rwyeh
RT @AnastasiaSMihai: I missed this interesting MUST READ Perspective in @CircAHA last year by @rwyeh
RT @AnastasiaSMihai: I missed this interesting MUST READ Perspective in @CircAHA last year by @rwyeh
I missed this interesting MUST READ Perspective in @CircAHA last year by @rwyeh
RT @djc795: @pomyers @DavidLBrownMD @Coronary4front @pash22 @JoeSabik @RuelMarc1 @FaisalBakaeen @VictorDayan1 @ovidiogarciav @drbypass @Gia…
@pomyers @DavidLBrownMD @Coronary4front @pash22 @JoeSabik @RuelMarc1 @FaisalBakaeen @VictorDayan1 @ovidiogarciav @drbypass @GianTorre610 @GreggWStone @mmamas1973 @mirvatalasnag @DocSavageTJU @sbrugaletta Unfortunately, the study is meaningless if it can’t be interpreted causally. Use of non-causal language doesnt help when everyone (even the authors) interprets the findings as causal. This paper by @rwyeh explains nicely why we need to do better. https://t.co/FOKmTH3fQL
@SeanMurphyMBBCh @djc795 @rwyeh @kardiologykazi @ZaidAlMarzooq Right - agree with everything DJC wrote. Attentiveness to methodological rigor in comparative effectiveness research is really needed. see this influential editorial from @rwyeh -- https://t.co/Gn2iTIVbBx .
@MaartenvSmeden This opinion piece by @rwyeh expresses my views on this topic well. Most observational studies of comparative effectiveness are only relevant with a causal interpretation. We need to acknowledge this and insist that authors not skirt the issue. https://t.co/FOKmTH3fQL
RT @rwyeh: It can be difficult to discern high quality observational studies from the rest. But it is critical that we try. Sharing some…
To address this with more powerful causal inference methods, we have begun to integrate econometric approaches like RDD and IV methods. This type of work was recently highlighted in Circ editorial from @rwyeh 3/5 https://t.co/rTD2LTKoWx
RT @rwyeh: It can be difficult to discern high quality observational studies from the rest. But it is critical that we try. Sharing some…
RT @rwyeh: It can be difficult to discern high quality observational studies from the rest. But it is critical that we try. Sharing some…
Cardiovascular observational research is experiencing a credibility crisis driven by many factors - but demanding greater rigor & learning to discern high quality studies are key steps in the credibility revolution. @rwyeh discusses in @CircAHA: https://t.co/26G5crhkXa https://t.co/GEtxO7RZ08
RT @rwyeh: It can be difficult to discern high quality observational studies from the rest. But it is critical that we try. Sharing some…
RT @rwyeh: It can be difficult to discern high quality observational studies from the rest. But it is critical that we try. Sharing some…
RT @rwyeh: It can be difficult to discern high quality observational studies from the rest. But it is critical that we try. Sharing some…
RT @rwyeh: It can be difficult to discern high quality observational studies from the rest. But it is critical that we try. Sharing some…
RT @rwyeh: It can be difficult to discern high quality observational studies from the rest. But it is critical that we try. Sharing some…
RT @rwyeh: It can be difficult to discern high quality observational studies from the rest. But it is critical that we try. Sharing some…
RT @rwyeh: It can be difficult to discern high quality observational studies from the rest. But it is critical that we try. Sharing some…
RT @rwyeh: It can be difficult to discern high quality observational studies from the rest. But it is critical that we try. Sharing some…
RT @rwyeh: It can be difficult to discern high quality observational studies from the rest. But it is critical that we try. Sharing some…
RT @rwyeh: It can be difficult to discern high quality observational studies from the rest. But it is critical that we try. Sharing some…
RT @rwyeh: It can be difficult to discern high quality observational studies from the rest. But it is critical that we try. Sharing some…
RT @rwyeh: It can be difficult to discern high quality observational studies from the rest. But it is critical that we try. Sharing some…
RT @rwyeh: It can be difficult to discern high quality observational studies from the rest. But it is critical that we try. Sharing some…
RT @kardiologykazi: "Fueled by the ubiquity of data, an explosion of medical journals, and the unchecked incentive to publish, CV observati…
RT @kardiologykazi: "Fueled by the ubiquity of data, an explosion of medical journals, and the unchecked incentive to publish, CV observati…
RT @kardiologykazi: "Fueled by the ubiquity of data, an explosion of medical journals, and the unchecked incentive to publish, CV observati…
RT @rwyeh: It can be difficult to discern high quality observational studies from the rest. But it is critical that we try. Sharing some…
RT @kardiologykazi: "Fueled by the ubiquity of data, an explosion of medical journals, and the unchecked incentive to publish, CV observati…
RT @rwyeh: It can be difficult to discern high quality observational studies from the rest. But it is critical that we try. Sharing some…
RT @kardiologykazi: "Fueled by the ubiquity of data, an explosion of medical journals, and the unchecked incentive to publish, CV observati…
RT @kardiologykazi: "Fueled by the ubiquity of data, an explosion of medical journals, and the unchecked incentive to publish, CV observati…
RT @kardiologykazi: "Fueled by the ubiquity of data, an explosion of medical journals, and the unchecked incentive to publish, CV observati…
"Fueled by the ubiquity of data, an explosion of medical journals, and the unchecked incentive to publish, CV observational research has descended more deeply into a credibility crisis." @rwyeh challenges both enthusiasts & nay-sayers to do better.
RT @rwyeh: It can be difficult to discern high quality observational studies from the rest. But it is critical that we try. Sharing some…
RT @neumanmd: Great commentary that highlights need for rigor in observational studies that aim to deduce causal effects. Important for all…
Great commentary that highlights need for rigor in observational studies that aim to deduce causal effects. Important for all clinical fields, not just cardiology Bringing the Credibility Revolution to Observational Research in Cardiology | Circulation https://t.co/c2XEJSV11i
RT @rwyeh: It can be difficult to discern high quality observational studies from the rest. But it is critical that we try. Sharing some…
RT @rwyeh: It can be difficult to discern high quality observational studies from the rest. But it is critical that we try. Sharing some…
RT @rwyeh: It can be difficult to discern high quality observational studies from the rest. But it is critical that we try. Sharing some…
RT @rwyeh: It can be difficult to discern high quality observational studies from the rest. But it is critical that we try. Sharing some…
RT @rwyeh: It can be difficult to discern high quality observational studies from the rest. But it is critical that we try. Sharing some…
RT @rwyeh: It can be difficult to discern high quality observational studies from the rest. But it is critical that we try. Sharing some…
RT @rwyeh: It can be difficult to discern high quality observational studies from the rest. But it is critical that we try. Sharing some…
RT @rwyeh: It can be difficult to discern high quality observational studies from the rest. But it is critical that we try. Sharing some…
RT @rwyeh: It can be difficult to discern high quality observational studies from the rest. But it is critical that we try. Sharing some…
Bringing the credibility revolution to observational research in cardiology https://t.co/bw4W6IlW24 via @rwyeh @PWGTennant @vk_wilde @inferencelab https://t.co/EZYnLXRdvx
RT @rwyeh: It can be difficult to discern high quality observational studies from the rest. But it is critical that we try. Sharing some…
RT @rwyeh: It can be difficult to discern high quality observational studies from the rest. But it is critical that we try. Sharing some…
RT @rwyeh: It can be difficult to discern high quality observational studies from the rest. But it is critical that we try. Sharing some…
RT @rwyeh: It can be difficult to discern high quality observational studies from the rest. But it is critical that we try. Sharing some…
RT @rwyeh: It can be difficult to discern high quality observational studies from the rest. But it is critical that we try. Sharing some…
RT @rwyeh: It can be difficult to discern high quality observational studies from the rest. But it is critical that we try. Sharing some…
RT @rwyeh: It can be difficult to discern high quality observational studies from the rest. But it is critical that we try. Sharing some…
RT @rwyeh: It can be difficult to discern high quality observational studies from the rest. But it is critical that we try. Sharing some…
RT @rwyeh: It can be difficult to discern high quality observational studies from the rest. But it is critical that we try. Sharing some…
RT @rwyeh: It can be difficult to discern high quality observational studies from the rest. But it is critical that we try. Sharing some…
RT @rwyeh: It can be difficult to discern high quality observational studies from the rest. But it is critical that we try. Sharing some…
RT @rwyeh: It can be difficult to discern high quality observational studies from the rest. But it is critical that we try. Sharing some…
RT @rwyeh: It can be difficult to discern high quality observational studies from the rest. But it is critical that we try. Sharing some…
RT @rwyeh: It can be difficult to discern high quality observational studies from the rest. But it is critical that we try. Sharing some…
RT @rwyeh: It can be difficult to discern high quality observational studies from the rest. But it is critical that we try. Sharing some…
RT @rwyeh: It can be difficult to discern high quality observational studies from the rest. But it is critical that we try. Sharing some…
RT @rwyeh: It can be difficult to discern high quality observational studies from the rest. But it is critical that we try. Sharing some…
RT @rwyeh: It can be difficult to discern high quality observational studies from the rest. But it is critical that we try. Sharing some…
RT @rwyeh: It can be difficult to discern high quality observational studies from the rest. But it is critical that we try. Sharing some…
RT @rwyeh: It can be difficult to discern high quality observational studies from the rest. But it is critical that we try. Sharing some…
RT @rwyeh: It can be difficult to discern high quality observational studies from the rest. But it is critical that we try. Sharing some…
RT @rwyeh: It can be difficult to discern high quality observational studies from the rest. But it is critical that we try. Sharing some…
RT @rwyeh: It can be difficult to discern high quality observational studies from the rest. But it is critical that we try. Sharing some…
RT @rwyeh: It can be difficult to discern high quality observational studies from the rest. But it is critical that we try. Sharing some…
RT @rwyeh: It can be difficult to discern high quality observational studies from the rest. But it is critical that we try. Sharing some…
It can be difficult to discern high quality observational studies from the rest. But it is critical that we try. Sharing some of the things I've learned here: Bringing the Credibility Revolution to Observational Research in Cardiology | Circulation https://t.co/bOrbpsdkL4