Uploaded May 2025 | Updated September 2026, 23 minutes ago
Dave Feldman sits down with Chris MacAskill to unpack the Keto-CTA study: owning key mistakes, dissecting plaque progression metrics, and charting the path forward in lipid research. Along the way, they explore observational data limits, AI-guided imaging, and the role of community and social media in driving scientific discovery.
Chapters
00:00 Intro & Study Context
00:04 Acknowledging Mistakes & Team Dynamics
01:03 Figure 1A Graphical vs Numerical Error
03:09 Importance of Table 3 & Endpoint Inclusion
05:00 Heterogeneity in Non-Calcified Plaque Progression
07:47 Observational Data & Causation Debate
11:13 What Is Percent Atheroma Volume (PAV)?
15:00 Semi-Quantitative vs Quantitative Metrics
16:15 Cohort-Wide 50 % Increase in PAV
18:06 Biology vs Algorithm in AI Readings
20:59 Comparison with Miami Heart Cohort
25:30 Why a Control Group Was Challenging
30:00 Sources of Saturated Fat & LDL Impact
34:00 Lean Mass Hyper-Responder Physiology
40:00 Protein Shake Rate-of-Change Analogy
44:00 LDL/ApoB Predictive Power Discussion
47:00 Social Media’s Role in Research Funding
51:17 Epistemic Humility & Next Paper Plans
56:49 Team Recognition & Second Study Fundraising
1:00:05 Silver Linings & Journal Correction Practices
1:06:17 Closing Remarks & Upcoming Topics
#Cholesterol #LDL #KetoDiet #ApoB #CAC #CCTA #LMHR #LEM #SaturatedFat #HeartHealth #MetabolicHealth #Educational #StayCurious #Wellness #Fitness #CardiovascularRisk #KetogenicDietSafety #HeartDisease #CholesterolManagement #Ketosis #CardiovascularHealth #MetabolicSyndrome #FattyAcidMetabolism #Atherosclerosis #PlaqueProgression #LDLCholesterol #ApoBLevels #HealthyHeart #DietaryFats #HeartDiseasePrevention #StatinAlternatives #KetoHeartHealth #KetoStudies #HealthResearch #HealthAndWellness #CardiovascularDiseasePrevention #CholesterolResearch #KetogenicLifestyle #HeartWellness #ScienceBasedHealth
Dave Feldman sits down with Chris MacAskill to unpack the Keto-CTA study: owning key mistakes, dissecting plaque progression metrics, and charting the path forward in lipid research. Along the way, they explore observational data limits, AI-guided imaging, and the role of community and social media in driving scientific discovery.
Chapters
00:00 Intro & Study Context
00:04 Acknowledging Mistakes & Team Dynamics
01:03 Figure 1A Graphical vs Numerical Error
03:09 Importance of Table 3 & Endpoint Inclusion
05:00 Heterogeneity in Non-Calcified Plaque Progression
07:47 Observational Data & Causation Debate
11:13 What Is Percent Atheroma Volume (PAV)?
15:00 Semi-Quantitative vs Quantitative Metrics
16:15 Cohort-Wide 50 % Increase in PAV
18:06 Biology vs Algorithm in AI Readings
20:59 Comparison with Miami Heart Cohort
25:30 Why a Control Group Was Challenging
30:00 Sources of Saturated Fat & LDL Impact
34:00 Lean Mass Hyper-Responder Physiology
40:00 Protein Shake Rate-of-Change Analogy
44:00 LDL/ApoB Predictive Power Discussion
47:00 Social Media’s Role in Research Funding
51:17 Epistemic Humility & Next Paper Plans
56:49 Team Recognition & Second Study Fundraising
1:00:05 Silver Linings & Journal Correction Practices
1:06:17 Closing Remarks & Upcoming Topics
#Cholesterol #LDL #KetoDiet #ApoB #CAC #CCTA #LMHR #LEM #SaturatedFat #HeartHealth #MetabolicHealth #Educational #StayCurious #Wellness #Fitness #CardiovascularRisk #KetogenicDietSafety #HeartDisease #CholesterolManagement #Ketosis #CardiovascularHealth #MetabolicSyndrome #FattyAcidMetabolism #Atherosclerosis #PlaqueProgression #LDLCholesterol #ApoBLevels #HealthyHeart #DietaryFats #HeartDiseasePrevention #StatinAlternatives #KetoHeartHealth #KetoStudies #HealthResearch #HealthAndWellness #CardiovascularDiseasePrevention #CholesterolResearch #KetogenicLifestyle #HeartWellness #ScienceBasedHealth
