ABOUT THIS EPISODE
When Europe approved donanemab and lecanemab, the label was narrower than the trials: early Alzheimer's, APOE ε4 non-carriers or heterozygotes, plus extra exclusions. This editorial walks through why EU-eligible subgroup analyses matter—and how Jessen's TRAILBLAZER-ALZ 2 re-analysis shows benefit and safety still hold (even improve a bit) in the patients clinicians actually treat.
Source: Grimmer T, From trial population to treated population: why EU-eligible subgroup analyses matter for anti-amyloid immunotherapy, J Prev Alzheimers Dis 2026. https://doi.org/10.1016/j.tjpad.2026.100665 (CC BY-NC-ND 4.0)
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SHOW NOTES 🔗
TRANSCRIPT 🔗
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Imagine like waiting years for VIP access to this incredibly exclusive, highly anticipated event.
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You've been waiting forever, right?
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Oh, absolutely.
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Right.
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The anticipation is huge.
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Right.
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And thousands of people were actually let in during this sort of um soft launch.
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Yeah.
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But then the grand opening happens.
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You walk up to the velvet rope and there's this new bouncer.
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And suddenly the VIP list is incredibly strict.
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It's a completely different standard.
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Exactly.
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It relies on this hyper-specific medical and genetic profile.
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And if you don't match it perfectly, you're just turned away at the door.
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Which is incredibly frustrating for patients.
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It is.
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And that is exactly what is happening in neurology right now.
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So today we're pulling from a 2026 editorial by Timo Grimmer.
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This was in uh the Journal of Prevention of Alzheimer's disease.
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Aaron Powell A really fascinating piece, yeah.
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It really is.
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And we're using it to ask this one mission critical question for you today.
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When regulators change the VIP list for a groundbreaking Alzheimer's drug, you know, drastically limiting who can actually take it, does the drug still work for the people who actually make it past that velvet rope?
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Okay, let's unpack this.
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Aaron Powell Well, it is arguably the most pressing question in neurodegenerative medicine today, frankly.
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Because to set the stage here, the European Union recently approved two anti-amyloid immunotherapies for Alzheimer's disease.
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Right, denanomab and licanimab.
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Exactly.
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And these drugs, I mean, they represent a monumental shift.
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They actively clear amyloid plaques from the brain.
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But the EU didn't just approve them and call it a day.
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They attached a really severe label restriction.
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Aaron Ross Powell They shrank the pool of who gets it.
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Aaron Powell Massively.
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Yeah.
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Aaron Ross Powell They narrowed the eligible population significantly compared to those pivotal clinical trials that you know originally proved the drugs even worked.
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Aaron Powell And since you listening likely know that the APOE epsilon four gene is like the primary genetic driver of Alzheimer's risk, the irony here is just palpable.
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Aaron Powell It's a huge paradox.
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Aaron Powell Right, because the very people at the highest genetic risk are the ones being barred from the treatment.
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Under this new EU label, if you are an APOE epsilon four homozygote, meaning you carry two copies of that variant, you are entirely excluded.
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Aaron Powell Completely shut out.
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Yeah.
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Trevor Burrus, you can only get the drug if you are a non-carrier or uh a heterozygote, so you just have one copy.
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Aaron Powell And you know the restrictions don't even stop at genetics.
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The label strictly excludes anyone taking anticoagulants, too.
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Aaron Powell Blood thinners.
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Aaron Powell Right.
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And Denanomab actually goes even further.
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It excludes patients with superficial ciderosis, which is a really specific type of prior brain bleeding.
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And it excludes patients with uncontrolled hypertension.
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Aaron Powell Okay, but regulators don't just shrink a target market for fun.
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Aaron Ross Powell No, no, they don't.
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Trevor Burrus If this is a targeted response to aria, right?
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The amyloid-related imaging abnormalities we've seen in these trials.
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But I really want to dig into the mechanics of that for a second, because we know aria involves brain swelling and these microhemorrhages.
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Trevor Burrus, Jr.: Yeah, edema and bleeding.
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Aaron Ross Powell But why does having two copies of that Apoe gene make clearing amyloids so uniquely dangerous?
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Like why did regulators have to step in and stop it?
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Aaron Ross Powell Well, it really comes down to where the amyloid is physically located in the brain and the biological mechanics of how these antibodies remove it.
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Because amyloid doesn't just form these floating clumps in the brain tissue.
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In many patients, it actually aggressively deposits in the walls of the brain's blood vessels.
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Aaron Powell Oh, wow.
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Aaron Ross Powell Yeah.
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It's a condition called cerebral amyloid angiopathy.
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And ApoE epsilon-4 homozygotes, they typically have this massive systemic burden of this vascular amyloid.
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Aaron Ross Powell So the vessels are just coated in it.
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Aaron Ross Powell Exactly.
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So when you introduce a really powerful monoclonal antibody that rapidly strips that amyloid out of the vessel walls, you are temporarily compromising the structural integrity of those actual blood vessels.
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Aaron Ross Powell I mean, you're essentially pulling the mortar out of a brick wall before it even has a chance to heal.
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Aaron Powell Precisely the right mental image.
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That rapid clearance leads to increased vascular permeability.
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Things leak.
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Right.
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Fluid leaks out, which causes the edema, or red blood cells leak out and that causes the microhemorrhages.
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So the E-regulators looked at this data and concluded that for patients with heavy vascular amyloid burdens, the homozygotes, or patients whose blood can't clot effectively because they're on anticoagulants.
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Right.
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The risk of catastrophic bleeding is just too high.
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Aaron Ross Powell Exactly.
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It simply outweighs the clinical benefit of the drug.
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Aaron Ross Powell Which, I mean, that makes perfect biological sense, but statistically, it introduces a massive problem.
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Aaron Powell It really does.
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Aaron Powell Because if you take the clinical trial data and you just strip away all these high-risk patients, do you accidentally strip away the evidence that the drug actually works?
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Aaron Ross Powell That is the exact dilemma.
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Aaron Powell Right.
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Because the original headlines, you know, the big success rates, those were based on the broad crowd.
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If you drastically alter the test subjects, the test results have to change.
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Aaron Powell And that is exactly what clinicians across Europe are grappling with right now.
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Does the efficacy actually hold up in a real-world clinic population governed by these new rules?
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Right.
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So to answer this, Grimmer's editorial highlights a brand new study by Yessin and colleagues.
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They performed a retrospective reanalysis.
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They basically took the 76-week placebo control trial for Donanimab.
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That's the Trailblazer ALZ2 trial.
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And they retroactively applied the new EU bouncers rules to it.
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Aaron Powell So they effectively filtered the original trial data, like they deleted the homozygotes, deleted the patients on blood thinners, deleted the ones with siderosis or the uncontrolled hypertension, and just looked at who was left.
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Aaron Powell Yes, exactly.
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And this resulting quote unquote EU eligible population, it made up roughly 87% of the non-homozygous trial cohort.
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Aaron Powell Okay, so still a big chunk.
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Aaron Powell A very big chunk.
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But they couldn't just average out the remaining scores.
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The European Medicines Agency, the EMA, they actually required them to use a highly specific statistical framework.
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It's called a conservative hybrid imputation method.
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Aaron Powell Okay.
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When I see a phrase like conservative hybrid imputation in a methodology section, my immediate translation is that the statisticians are deliberately trying to make the drug look worse just to stress test it.
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Aaron Powell You're not wrong.
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I mean, imputation is all about how you handle missing data, right?
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Because in any 76-week trial, people drop out.
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Constantly.
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They move, they get sick with something else, they just stop showing up.
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That's the core of it, yeah.
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In standard analyses, if a patient drops out, you might assume, well, their cognitive decline probably would have continued at the same average rate as everyone else in their group.
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Sure, that makes sense.
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But the EMA's conservative imputation basically says, no, let's assume the absolute worst.
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Oh wow.
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Yeah.
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If a patient on the active drug drops out, this mathematical model heavily penalizes the drug's efficacy scores.
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It essentially assumes that patient had a terrible outcome.
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Aaron Powell So it's rigorous.
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It is a rigorous, brutal way of handling missing data, so you don't accidentally overstate the benefits.
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Okay, so they run this filtered data through this brutal worst-case scenario math.
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And the result?
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The drug still worked.
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It really did.
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Under these incredibly strict parameters, dynanomabs still produced an 18 to 28% slowing of decline across five independent clinical scales.
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I mean, we're talking the IADRS, the CDRSB, 8S COG-13, ADCSIADL, and the MMSE.
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Aaron Powell And seeing that consistent benefit across five independent scales, scales ranging from, you know, cognitive recall tests to functional daily activity assessments, that is a profound signal of true biological efficacy.
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It wasn't just a fluke.
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Exactly.
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It wasn't a fluke on one specific test.
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But more importantly, the safety profile didn't just hold up.
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It actually improved dramatically.
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Okay, here's where it gets really interesting.
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Because in this restricted EU eligible group, the incidence of ARIA dropped from 36.8% in the overall trial down to 32%.
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Right.
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And we aren't just talking about a drop in total numbers either.
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We are talking about severity.
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That's the key.
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The vast majority of those cases were mild to moderate and completely asymptomatic, meaning the patients felt fine and the brain swelling was only caught because of routine MRI monitoring.
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Yeah.
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And the critical data point, there were zero ARIA-related deaths in the EU eligible group.
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Aaron Powell Which serves as this incredibly powerful validation of the regulator's mandate.
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By narrowing the label, they didn't destroy the drug's efficacy, right?
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They successfully curated a subgroup where the risk-benefit ratio is unequivocally favorable.
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Aaron Powell I hear that.
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And I totally respect the rigorous math, but I do want to push back on the framing of the efficacy just a bit.
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Okay.
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Go ahead.
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We just threw out 18 to 28% slowing of decline on continuous scales.
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And as a statistical proof of concept, that's fantastic.
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But for you listening right now, if your parent is dealing with an Alzheimer's diagnosis, what doesn't 18% slowing on the CDR SB scale actually look like on a Tuesday morning?
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And it's hard to visualize.
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Right.
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Continuous scales are notoriously abstract.
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They don't really help a family plan for the future.
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Aaron Powell Well, this raises a really important question, and the editorial actually pivots to address this exact frustration.
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Because in clinical practice, we have to translate those continuous variables into discrete threshold events.
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Milestones.
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Exactly.
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Families don't measure the disease in point drops on some 144-point scale.
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They measure it in milestones of lost autonomy.
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And the Justin analysis really delivered on that front, too, because when they looked at disease stage progression, they found a 40.3% reduction in the risk of progressing to the next CDR global stage.
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A massive finding.
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And they also found a 47.2% reduction in the risk of progressing to moderate dementia.
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Aaron Powell Yeah.
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And the editorial draws this brilliant parallel here to oncology.
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Because in cancer medicine, the field relies heavily on a metric called progression-free survival.
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Right.
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If you are treating a tumor, the absolute millimeter difference in tumor diameter from week to week, that isn't the primary focus for the patient.
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Aaron Powell No, nobody cares about three millimeters.
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Exactly.
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The focus is on how long that patient can remain in the current manageable stage of life before the disease aggressively advances.
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Aaron Powell Right, because delaying a stage transition in Alzheimer's is basically the neurological equivalent of progression-free survival.
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Exactly.
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We are talking about concrete thresholds here, of the difference between mild cognitive impairment and mild dementia.
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That is the difference between driving your car safely and having your keys taken away.
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And the transition to moderate dementia, that means losing the ability to live independently without daily supervised care.
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Trevor Burrus, Jr.
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It is the difference between a statistical abstraction and a profoundly tangible lived experience.
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And the editorial argues that this 40.3% lower risk of stage progression should be viewed with the exact same clinical reverence as progression-free survival in oncology.
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Trevor Burrus, Jr.
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It's a huge deal.
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Trevor Burrus, Jr.: It is.
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The fact that this delay in the loss of autonomy remains so robust under the strict EU rules, that is the most vital piece of information for prescribers.
00:11:21.279 --> 00:11:21.759
Aaron Powell Okay.
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Let me play devil's advocate for a second, though, because the source material translates that 40.3% risk reduction into a unit of time.
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Right.
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It translates to roughly five additional months before reaching a given level of decline.
00:11:34.240 --> 00:11:35.440
Aaron Powell Five months, yes.
00:11:35.519 --> 00:11:45.600
Aaron Powell So if I'm looking at this objectively, you've got the bi-weekly intravenous infusions, the constant anxiety of MRI monitoring for brain bleeds, the sheer logistical burden of all of it.
00:11:45.840 --> 00:11:48.879
Is all of that actually worth just five extra months?
00:11:48.960 --> 00:11:50.639
Aaron Ross Powell It's a very sobering question.
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And it represents the very real conversation that has to happen in the clinic.
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But we really must contextualize neurodegenerative timelines here.
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How do you mean?
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Five months of preserved independence at the mild stages of Alzheimer's is not trivial.
00:12:05.279 --> 00:12:05.440
Right.
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That is five more months of managing your own finances, of recognizing your environment, of actively participating in your own life before crossing a threshold of cognitive decline that you can never uncross.
00:12:19.840 --> 00:12:20.639
You can't go back.
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Never.
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For a disease that is historically offered zero disease-modifying delay, five months of preserved high function is a paradigm shift.
00:12:29.679 --> 00:12:36.879
That distinction right there between just living longer and living longer independently completely changes the math on those five months.
00:12:37.200 --> 00:12:37.919
It really does.
00:12:38.240 --> 00:12:42.639
Now, we focused heavily on denanomab so far because of the Justin reanalysis.
00:12:42.799 --> 00:12:54.080
But if this restricted label success is real, we really have to ask if this is just a unique quirk of Denanomab or if it's a universal truth for this entire new class of amyloid clearers.
00:12:54.320 --> 00:12:56.240
So let's look at Lacanimab.
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What's fascinating here is that a parallel analysis points in the exact same direction.
00:13:01.440 --> 00:13:03.759
So another group of researchers, Perry et al.
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Okay.
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And they isolated the 1,521 participants who fit the Apo Epsilon-4 genetic restrictions, which was about 85% of their total trial population.
00:13:19.200 --> 00:13:21.039
And the results were strikingly consistent.
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The clinical benefit on their cognitive scales held firm, and the incidence of ARIA was roughly halved compared to the overall population.
00:13:28.399 --> 00:13:29.759
Aaron Powell Halved, yes.
00:13:30.240 --> 00:13:40.240
So we have two independently developed antibodies run by totally different sponsors in different trials, proving that genotype restriction makes the drug safer without erasing the benefit.
00:13:40.320 --> 00:13:40.879
Aaron Powell Yes.
00:13:40.960 --> 00:13:44.639
However, the editorial forces us to look closely at the methodology here.
00:13:44.720 --> 00:13:45.200
Aaron Powell Right.
00:13:45.279 --> 00:13:45.840
The fine print.
00:13:46.240 --> 00:13:47.440
Always read the fine print.
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The peri-analysis of Lacanimab is currently just a quote genotype-based sensitivity analysis.
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They only stratified the data by the APOE Epsilon-4 restrictions.
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Oh, I see.
00:13:59.519 --> 00:14:04.639
Whereas the Jessin analysis of Donanimab applied the full suite of EU contraindications.
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So genotype, siderosis, anticoagulants, and hypertension.
00:14:09.279 --> 00:14:14.639
Aaron Ross Powell So we're still waiting for a fully matched, strict EU label reanalysis for Lacanimab.
00:14:14.960 --> 00:14:15.279
Exactly.
00:14:15.600 --> 00:14:23.279
And that methodology gap brings us right to the heavy caveats, the scientific fine print that Grimmer is very careful to outline in this paper.
00:14:23.519 --> 00:14:27.039
Because both of these analyses are post hoc and exploratory.
00:14:27.600 --> 00:14:27.759
Right.
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Meaning the researchers went back and sliced the data after the trial was already completed.
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Basically, to answer questions that the trial wasn't statistically powered to ask from the beginning.
00:14:37.600 --> 00:14:37.759
Right.
00:14:37.919 --> 00:14:45.759
It's like uh watching a marathon, waiting for the race to totally end, and then deciding you're only going to count the finish times of the runners wearing red shoes.
00:14:45.840 --> 00:14:47.360
Aaron Powell Yeah, that's a great way to put it.
00:14:47.440 --> 00:14:57.759
Aaron Powell Retrospective data is inherently dangerous, you know, because if you slice a massive data set enough ways, you can almost always find a positive pattern by pure mathematical chance.
00:14:58.320 --> 00:15:06.639
And the editorial explicitly notes these analyses are unadjusted for multiplicity, which is just the formal statistical term for exactly that problem.
00:15:06.720 --> 00:15:09.919
Aaron Powell It's a critical vulnerability in the evidence space, for sure.
00:15:10.559 --> 00:15:15.200
Furthermore, Grimer points out a major flaw in Denatomab's long-term extension data.
00:15:15.279 --> 00:15:16.320
Aaron Powell What happened there?
00:15:16.399 --> 00:15:25.600
Aaron Ross Powell Well, once a clinical trial formally ends, it is generally considered unethical to keep the control group on a placebo if you have already proven the drug works.
00:15:25.679 --> 00:15:26.159
Aaron Powell Right.
00:15:26.240 --> 00:15:27.200
So everyone gets the drug.
00:15:27.279 --> 00:15:30.000
Aaron Ross Powell Therefore everyone is offered the active drug.
00:15:30.159 --> 00:15:35.440
But that means you no longer have an internal randomized control group to measure long-term efficacy against.
00:15:35.519 --> 00:15:42.639
Aaron Powell So to figure out if the drug keeps working in like year two or year three, they had to create an external propensity weighted cohort.
00:15:42.960 --> 00:15:43.039
Yes.
00:15:43.360 --> 00:15:53.200
They pulled data from an external database called ADNI, the Alzheimer's Disease Neuroimaging Initiative, and they tried to match historical patients to the actual trial patients.
00:15:53.279 --> 00:16:04.399
Aaron Powell And while propensity weighting attempts to match patients on things like age, genetics, and baseline cognitive scores, it is materially weaker than having a randomized internal control.
00:16:04.480 --> 00:16:05.519
Aaron Ross Powell Of course it is.
00:16:05.759 --> 00:16:08.639
Because there are always hidden covariates you just aren't measuring.
00:16:08.960 --> 00:16:09.200
Always.
00:16:09.519 --> 00:16:18.799
I mean, you can match their age and genetics, but you cannot match the sheer psychological and physical impact of being enrolled in a massive modern clinical trial.
00:16:19.120 --> 00:16:19.519
Absolutely not.
00:16:19.840 --> 00:16:25.039
Trial patients get intense medical attention, regular check-ins, rigorous schedule management.
00:16:25.279 --> 00:16:29.039
A historical database patient simply didn't have that environment.
00:16:29.200 --> 00:16:30.799
It inherently skews the comparison.
00:16:31.120 --> 00:16:31.519
Exactly.
00:16:31.679 --> 00:16:35.519
And that methodology is exactly where the skepticism comes in from a lot of researchers.
00:16:35.919 --> 00:16:36.399
Makes sense.
00:16:36.799 --> 00:16:40.240
We also have to factor in real-world clinical delivery.
00:16:40.480 --> 00:16:50.879
Because the editorial highlights that in practice, these drugs will likely be given using gradual titration regimens, meaning slowly upping the dose over time to further mitigate that ARIA risk.
00:16:50.960 --> 00:16:52.559
Aaron Powell Which they didn't do in the trials.
00:16:52.879 --> 00:16:53.440
Right.
00:16:53.840 --> 00:17:00.639
We don't yet know how that slower dosing will impact the actual efficacy numbers compared to the fixed doses they used originally.
00:17:00.720 --> 00:17:06.160
Aaron Powell So we have this 40.3% risk reduction in stage progression, which is amazing.
00:17:06.400 --> 00:17:13.119
But we also have serious post-hoc caveats, propensity weighting flaws, and these real-world titration unknowns.
00:17:13.519 --> 00:17:14.720
It's a lot of mixed signals.
00:17:14.880 --> 00:17:20.799
Aaron Ross Powell With all this conflicting weight, how do we actually determine if this drug is a success?
00:17:21.359 --> 00:17:28.400
The editorial argues we basically have to step outside the Alzheimer's bubble entirely and look at how medicine judges success in other fields.
00:17:28.480 --> 00:17:42.400
Aaron Powell If we connect this to the bigger picture, Grimmer compares this Alzheimer's data to a massive success story in cardiovascular medicine, specifically the Fourier trial, which tested a monoclonal antibody called Evaluomob.
00:17:42.559 --> 00:17:43.039
Aaron Ross Powell Right.
00:17:43.200 --> 00:17:45.759
Evalucomab is a major cholesterol-lowering drug.
00:17:45.839 --> 00:17:48.240
It's used for uh secondary cardiovascular prevention.
00:17:48.319 --> 00:17:48.880
Aaron Powell Yes.
00:17:49.039 --> 00:17:56.720
Aaron Ross Powell And in that landmark trial, evaluomob reduced the risk of the primary composite cardiovascular endpoint by 15 percent.
00:17:56.799 --> 00:17:57.200
Aaron Powell Okay.
00:17:58.160 --> 00:18:08.160
Aaron Ross Powell And for the key secondary endpoint, which combined cardiovascular death, myocardial infarction, and stroke, the risk reduction was 20 percent compared to a placebo.
00:18:08.319 --> 00:18:11.359
Aaron Powell A 15 to 20 percent reduction.
00:18:11.920 --> 00:18:16.160
I remember when that trial published, cardiology just went wild over those numbers.
00:18:16.240 --> 00:18:17.119
Aaron Powell They absolutely did.
00:18:17.440 --> 00:18:22.319
That drug immediately influenced international guidelines and is universally considered practice changing.
00:18:22.480 --> 00:18:32.720
The cardiology community, which is practically the gold standard for evidence-based medicine, views a 20% relative risk reduction not as a borderline result, but as a total clinical triumph.
00:18:33.200 --> 00:18:36.720
So a 40.3% reduction in dementia progression.
00:18:37.119 --> 00:18:37.599
Exactly.
00:18:37.920 --> 00:18:38.079
Yeah.
00:18:38.559 --> 00:18:40.319
So what does this all mean?
00:18:40.559 --> 00:18:52.799
If cardiology celebrates a 20% risk reduction in heart attacks, why is the neurology field endlessly debating a 40.3% lower risk of progressing to moderate dementia?
00:18:52.880 --> 00:18:54.720
Aaron Powell It's a staggering double standard.
00:18:55.119 --> 00:18:59.599
It means we hold brain health to a disparate, almost impossible standard.
00:18:59.759 --> 00:19:11.599
We are so historically conditioned to failure and disappointment in Alzheimer's research that when a drug comes along and performs at double the magnitude of a superstar heart medication, we almost don't know how to celebrate it.
00:19:11.759 --> 00:19:13.680
Aaron Powell It's a profound observation.
00:19:14.079 --> 00:19:26.400
I mean, preserving autonomy and delaying the transition to dependent stages of dementia is one of the most consequential goals in contemporary healthcare today, especially given the staggering societal burden of the disease.
00:19:26.720 --> 00:19:27.200
Absolutely.
00:19:27.599 --> 00:19:36.559
This data forcefully argues that for the specific subgroup of patients Europe has actually chosen to treat, that goal is now realistically within reach.
00:19:37.119 --> 00:19:44.960
Synthesizing all of this, for the clinicians and patients who are navigating this totally new landscape, this editorial really bridges the gap.
00:19:45.119 --> 00:19:51.440
It takes those massive, abstract trial statistics and translates them into credible, individualized data.
00:19:51.920 --> 00:19:52.880
It makes it tangible.
00:19:53.200 --> 00:19:57.200
It proves that the narrow EU label hasn't ruined the drug's potential.
00:19:57.359 --> 00:20:02.319
It has actively curated a population where the benefits clearly outweigh the risks.
00:20:02.720 --> 00:20:04.799
But you know, the work is far from over.
00:20:05.119 --> 00:20:05.680
Oh, for sure.
00:20:06.079 --> 00:20:10.640
What the fuel desperately needs next is prospective, registry-based follow-up.
00:20:11.519 --> 00:20:22.240
We need to track the patients who are actually being treated under this new label in real time across Europe, applying the exact same strict eligibility definitions for both Donanimab and Lacanimab.
00:20:22.640 --> 00:20:22.960
Right.
00:20:23.279 --> 00:20:34.720
We must continuously track those stage progression endpoints, those lived experiences we talked about, alongside the cognitive scales, just to see if the retrospective math actually holds up prospectively.
00:20:35.200 --> 00:20:35.359
Right.
00:20:35.440 --> 00:20:38.559
We need the live game to prove the replay was actually accurate.
00:20:38.799 --> 00:20:42.880
As we wrap up this deep dive, I want to leave you with one final thought to mull over.
00:20:43.039 --> 00:20:48.240
Building directly on Grimmer's point about that chasm between controlled trials and clinical reality.
00:20:48.559 --> 00:20:49.279
It's a big chasm.
00:20:49.599 --> 00:20:56.559
The source notes that we still don't know how real-world comorbidities and medication adherence will ultimately affect these outcomes.
00:20:56.720 --> 00:20:57.759
So think about this.
00:20:58.000 --> 00:21:01.279
In a clinical trial, patients are monitored relentlessly.
00:21:01.440 --> 00:21:02.880
Their adherence is basically perfect.
00:21:03.200 --> 00:21:04.079
Handheld the whole way.
00:21:04.400 --> 00:21:04.720
Right.
00:21:04.960 --> 00:21:18.000
But when these drugs enter the chaotic, messy reality of everyday human life, I mean, we're talking missed appointments due to winter colds, transportation issues, getting to the infusion center, or even just fluctuating blood pressure from daily stress.
00:21:18.160 --> 00:21:24.400
Will the strict bouncers at the door of the EU label be enough to protect that fragile 40% success rate?
00:21:24.640 --> 00:21:29.680
Or will the sheer friction of real life erode the benefit we saw in that pristine trial environment?
00:21:29.839 --> 00:21:32.960
It really is the ultimate test of science versus reality.
00:21:33.279 --> 00:21:37.200
It is the defining variable for the next decade of neurodegenerative care.
00:21:37.599 --> 00:21:41.680
And we'll be right here to analyze that real world data the moment it publishes.
00:21:41.920 --> 00:21:43.359
Thanks for joining us for this deep dive.
00:21:43.440 --> 00:21:44.160
We'll catch you next time.