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We sit down with Joshua Oommen to get nerdy about clinical reasoning, FDA standards, and why “good evidence” is harder to define than most of us admit. We challenge the reflex to trust p-values and meta-analyses, then test our instincts against real OBGYN examples where the literature has whiplashed practice.
• why the podcast is called Thinking About OBGYN and how clinical reasoning shapes our work
• the NEJM proposal to make one pivotal trial the FDA default and what “confirmatory evidence” might mean
• medical reversal, surrogate endpoints, and how trust erodes when practice changes late
• why Bayesian thinking fits how clinicians interpret tests, trials, and prior beliefs
• how meta-analyses fail through small study effects, publication bias, p-hacking, and heterogeneity
• the amnioinfusion comeback as a case study in applicability and overconfident conclusions
Be sure to check out thinking about obgyn.com for more information and be sure to follow us on Instagram.
0:00 Welcome And Today’s Big Question
3:48 Why “Thinking About OBGYN” Exists
11:54 The NEJM Push For One Trial
16:38 Medical Reversal And Trust Problems
24:43 AI Proteins And CRISPR Pressure Tests
32:33 Bayes Thinking Beyond P Values
36:43 Why Meta-Analyses Often Mislead
41:08 Bias And Heterogeneity Red Flags
46:24 Amnioinfusion And A Meta-Analysis Comeback
1:02:29 Final Warnings And How To Learn
Follow us on Instagram @thinkingaboutobgyn.
By Antonia Roberts and Howard Herrell4.6
4343 ratings
We sit down with Joshua Oommen to get nerdy about clinical reasoning, FDA standards, and why “good evidence” is harder to define than most of us admit. We challenge the reflex to trust p-values and meta-analyses, then test our instincts against real OBGYN examples where the literature has whiplashed practice.
• why the podcast is called Thinking About OBGYN and how clinical reasoning shapes our work
• the NEJM proposal to make one pivotal trial the FDA default and what “confirmatory evidence” might mean
• medical reversal, surrogate endpoints, and how trust erodes when practice changes late
• why Bayesian thinking fits how clinicians interpret tests, trials, and prior beliefs
• how meta-analyses fail through small study effects, publication bias, p-hacking, and heterogeneity
• the amnioinfusion comeback as a case study in applicability and overconfident conclusions
Be sure to check out thinking about obgyn.com for more information and be sure to follow us on Instagram.
0:00 Welcome And Today’s Big Question
3:48 Why “Thinking About OBGYN” Exists
11:54 The NEJM Push For One Trial
16:38 Medical Reversal And Trust Problems
24:43 AI Proteins And CRISPR Pressure Tests
32:33 Bayes Thinking Beyond P Values
36:43 Why Meta-Analyses Often Mislead
41:08 Bias And Heterogeneity Red Flags
46:24 Amnioinfusion And A Meta-Analysis Comeback
1:02:29 Final Warnings And How To Learn
Follow us on Instagram @thinkingaboutobgyn.

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