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London: What, No Argument? Speakers Agree on Trials for Familial AD
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This is Part 2 of a four-part series. See also Part 1, Part 3, Part 4. View PDF of entire series.
17 November 2010. Part 1 of this series highlighted the main points of discussion at an 8 November 2010 meeting held at the European Medicines Agency (EMA) in London. Called “Expert meeting in familial neurodegenerative disorders. Developing medicinal products for pre-symptomatic carriers: Autosomal dominant Alzheimer’s disease and Huntington’s disease as models,” the meeting drew regulators, scientists from academia and pharma, as well as patient representatives. Part 2 of Alzforum’s coverage continues with what scientists from inside and outside DIAN, and from both sides of the Atlantic, said about the prospect of such trials.
Nick Fox, a DIAN investigator at the University College London, made a case to the regulators that ample biomarker research on the years preceding symptoms, combined with a disheartening string of drug trial failures in AD, meant that future drug treatment research had the most to gain by focusing on the pre-symptomatic stage. “We must treat earlier,” Fox said.
Fox pointed out that a five-year delay in age at onset would cut in half the projected prevalence by the year 2050 of 13 million AD cases in the U.S. alone. To get there, science first needs a study population that will develop AD with certainty and can be found. Furthermore, scientists want to test and understand anti-amyloid drugs initially in people who have this pathology but are otherwise healthy, not in older people with the complicated mixture of different pathologies and co-morbidities that currently enroll in conventional mild to moderate AD drug trials. A trial in ADAD carriers would bridge mouse and human treatment data, Fox said. To design a good trial, Fox said, scientists want to separate people by how far away they are from age of onset, because a person who is within a year of that dreaded age has more advanced AD pathophysiology, but can also tolerate more risk of side effects than a young adult who still has 15 years to go. All this argues for ADAD.
“We should not call this ‘prevention,’ by the way,” Fox added. “We would prevent only the clinical manifestation in people who already have the molecular process of the disease unfolding in their brain.” Given that the mutations are nearly fully penetrant, the pathology is clear, and imaging, biochemical markers, and cognitive decline all predate symptoms, scientists can stage how close to onset a person is. Changes in some biomarkers appear many years before symptoms; however, the immediate, one to two years prior to symptoms are marked by converging imaging, biochemical, and subtle cognitive changes.
“We can identify people who will be clinically manifest in a few years and show that the disease is happening in them,” Fox said.
Because this population is so small and already under much strain, Fox urged companies and scientists to design the best possible trial collectively, and regulators to be creative in trial design such that ethical and moral objectives can be heard. For example, relatives with symptomatic AD should be allowed into the trials if they wish. Fox, who has cared for and studied ADAD families for so long he now treats affected patients who used to come along to play at their parent’s appointments decades ago, readily acknowledged that his involvement with these families informs his thinking as much as the underlying science.
The families are taking days off work and traveling far to participate in DIAN. It is a demanding study that puts participants through a two- to four-day wringer of testing that runs the gamut of AD biomarker and neuropsychology research. Still, a 23-year-old woman and her 30-year-old brother who last month underwent their first such visit in Boston told this reporter that participating in DIAN was an empowering way of dealing with their family’s ordeal.
Randall Bateman of Washington University, St. Louis, Missouri, updated the audience on the latest DIAN data. As of 13 October, 106 people had completed their first visit. Nearly all complied with the clinical assessments, four out of five with imaging, and two-thirds with the requested lumbar puncture. Twenty people are within plus or minus three years from their expected age at onset; a majority is younger. The non-carriers show no cognitive deficit on the MMSE or the CDR sum of boxes assessments, whereas carriers who are five, even as far back as 10 years, younger than their expected age at onset do show subtle decrements. On structural MRI, DIAN replicates Fox’s and Rossor’s findings that the rate of atrophy accelerates before age at onset, although those curves separated only by a little. PIB-PET showed a wider separation in uptake in the precuneus and caudate brain areas.
Importantly, CSF measurements in these volunteers show that carriers overproduce Aβ42 relative to Aβ40. Mutation carriers produce more Aβ42 than do non-carriers. “We believe this reflects the pathogenic mechanism. Carriers produce more Aβ42. As the disease progresses, their CSF levels drop, but 20 years prior, carriers start out higher than non-carriers. We think this is of great interest,” Bateman said. Overall, the pathobiology emerging from this cohort is similar to that of late-onset or sporadic AD, and can be detected 15 years before symptoms. “This group appears well suited for proof-of-concept studies, and eventually secondary prevention studies,” Bateman concluded.
At the EMA, three European experts who are not involved in DIAN endorsed the premise of treating pre-symptomatic carriers of AD mutations. First, Bruno Dubois of Paris’s Hospital de la Salpêtrière, France, placed DIAN’s study population in the broader context of a shift in terminology that is spreading through the field as clinicians grapple with how to define pre-dementia stages for research and clinical trial purposes. Last July, a set of expert panels largely from the U.S. had proposed revised diagnostic guidelines (see ARF related news story). In October, a different (though partly overlapping) group of clinical leaders from Europe and the U.S. published their own attempt at clarifying exactly what to call the stages preceding overt AD (Dubois et al., 2010).
As per this new lexicon, people who have deficits in episodic memory tests such as word recall, and who also have abnormal biomarkers, would be told they have “prodromal AD.” This is a symptomatic stage that reaches back three to five years into the pre-dementia phase. People at earlier stages—that is, those long five to 15 years prior during which they have no clinical expression of the underlying disease—would fall into two groups. Asymptomatic people who have biomarker changes should be told they are “at risk for AD,” not that they have “preclinical AD.” Using the latter term would consign people to fear even while scientists do not yet know for certain how these biomarkers predict future clinical disease. “This is very important,” said Dubois. In contrast, people with autosomal-dominant mutations and biomarker changes do have “pre-symptomatic AD,” Dubois said. The population for which DIAN proposes therapeutic trials falls into this latter category. To date, 83 percent of carriers in DIAN have mutations in presenilin-1, 3 percent in presenilin-2, and the rest in APP.
Second, Caroline Graff from the Karolinska Institute in Stockholm, Sweden, emphasized the appeal of clinical trials for families with these dire genetics. At her center, researchers know about 50 at-risk relatives. Recent data on some of them confirm biomarker findings from other studies that CSF Aβ42 drops significantly in carriers at least nine years prior to their expected age of onset. Graff disputed a statement that sometimes crops up in these discussions, namely that autosomal-dominant AD is different from sporadic AD, or even that each mutation generates its own disease. In her experience working with AD patients, “with ADAD the signs and symptoms are the same as sporadic AD, except the onset is usually younger and it progresses faster,” Graff said. Some clinical variability occurs in all neurodegenerative diseases even within a family; it is not especially pronounced in ADAD, other AD clinician-researchers agreed.
Graff cited the example of a family that came to her center in 2005 with a suspicion of HD but turned out to have a presenilin mutation that brings on disease in a person’s thirties. “We now have contact with eight individuals of this family who are at 50 percent risk, seven of them in the age range for clinical trials,” Graff said. DIAN scientists are exploring how either the entire observational biomarker protocol, or a clinical trials portion of it, can be expanded to include participation from European families at Graff’s and other centers in Sweden and other countries, said Bateman.
Third, Harald Hampel of the University of Frankfurt, Germany, endorsed the initiative of biomarker-driven drug trials for mutation carriers. In a review of existing data on CSF biomarkers in FAD mutation carriers, he noted that it is highly concordant (e.g., Almkvist et al., 2003; Moonis et al., 2005; Scheuner et al., 1996). Like DIAN and Graff’s data now, these older papers showed an Aβ42 decrease in CSF a decade before symptoms and an increase in tau some five years prior to symptoms. Likewise, imaging research has produced a signature for prodromal AD, Hampel said (Reiman et al., 2010). Regional cerebral glucose metabolism by FDG-PET, fibrillar amyloid deposition by PET, and regional gray matter atrophy by MRI all yield strongly concordant results that together identify prodromal AD. Research by Fox and Martin Rossor at University College London has over the years shown that global and regional atrophy accelerates some five to three years prior to symptoms, with annual rates of change that apply consistently, Hampel noted (Ridha et al., 2006). As in sporadic AD, in ADAD metabolic abnormalities precede shrinkage by some years (Mosconi et al., 2006).
Hampel said that organized, comprehensive studies such as DIAN were the logical next step to follow on single-center studies, and he applauded DIAN for adopting ADNI protocols so data can be directly compared. DIAN’s preliminary biomarker and imaging data conform closely not only to prior, smaller ADAD studies but also to the preclinical staging graphs that grew out of ADNI. “That opens a considerable window. The biochemical and imaging data suggest abnormal APP metabolism, and axonal/synaptic/neuron losses are evident in a pre-symptomatic phase years before clinical onset. This is useful in clinical trials,” Hampel said.
Hampel showed a staging slide from a recent review that overlaps closely with those that many researchers are showing at conferences these days (Hampel et al., 2010; also see Perrin et al., 2009 and ARF Webinar with Cliff Jack). On a time axis, the commonly accepted staging scheme starts the disease process out with amyloid deposition/CSF Aβ42 lowering around 15 years prior to symptoms, followed by FDG-PET reduction, then by MRI atrophy, then CSF tau increase five years prior, cognitive performance some three years prior, and then a functional decline around the time of conventional diagnosis.
General Consensus: Check. Now for Specifics
So far, all agreed. How, then, can scientists actually conduct preclinical trials? Paul Aisen of the University of California, San Diego, and the Alzheimer’s Disease Cooperative Study, put an example design on the table for the regulators and pharma scientists to discuss.
To Aisen’s mind, the optimal time of intervention may be an early stage of amyloid deposition. A trial of an anti-amyloid drug could be designed for a broad population across ADAD families and enroll participants whose brains have brain amyloid. Such a trial would necessarily have to use a biomarker outcome, because people at this stage remain years away from clinical symptoms. This outcome could again be amyloid imaging or CSF, or it could be MRI. MRI makes sense to Aisen, because the normal subjects in the ADNI cohort show marked atrophy if they also have brain amyloid. The same is true for FDG-PET and even the crude MMSE test: The decline in these markers among the normal ADNI group is disproportionately due to those people who are amyloid positive, Aisen said.
But do these biomarkers respond to drugs? Little is known. Amyloid imaging did decrease with drug, and increase with placebo in one study (Rinne et al., 2010).
Specifically, Aisen proposed this design for regulatory discussion: a randomized, parallel group study with a select anti-amyloid treatment given for two years, followed by an open-label extension to ensure every person gets access to treatment. Biomarkers would constitute primary outcome measures, including MRI, FDG-PET, amyloid PET, CSF, cognition, and patient-reported outcomes. Clinical outcomes would follow post-study. “We can power such a study in ADAD with group sizes ranging from 25 to 250,” Aisen said. Dubois added to this that the results of French observational studies suggest follow-up clinical outcomes should choose tasks that flag highly AD-specific deficits, such as free recall and cued recall tests stressing hippocampal function. In Part 3 of this series, read how regulators from Europe and the U.S. chewed on this proposed trial design.—Gabrielle Strobel.
This is Part 2 of a four-part series. See also Part 1, Part 3, Part 4. View PDF of entire series.
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Related News: As ADNI Turns Four, $64 Million Data Start Rolling In
Comment by: alessio dalla libera
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Submitted 25 October 2008
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Posted 29 October 2008
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Related News: Phoenix: Making Trials Work for Patient, Sponsor, Regulator
Comment by: Lon Schneider, ARF Advisor (Disclosure)
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Submitted 3 March 2010
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Posted 3 March 2010
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Suppose you have a registry or cohort of volunteers on whom you are gathering longitudinal data and can hence characterize their recent past history, and suppose you do so with ratings that are used in prevention trials. Then you have a cohort that you can rapidly recruit from because you know them and they know you. They are following you on Twitter and Facebook. That’s what I mean by recruitment in a nanosecond. Then, because you know their pre-randomization “trajectories” or characteristics, you could better estimate how long a trial might be (taking into consideration how you expect the drug to work), then randomize them into an appropriate strata, and you can customize each individual’s outcome. View all comments by Lon Schneider
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Related News: DIAN Dispatch from Hawaii: Glimpse at Data, Push for Trials
Comment by: Vincent Marchesi, ARF Advisor
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Submitted 20 July 2010
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Posted 23 July 2010
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One can only applaud the courage and commitment of the investigators involved in this study. It is surely a wise move to follow people with dominant mutations who are clearly at risk for clinical AD, and the markers to be studied are probably the best available.
But I'd still like to ask two questions: How sure are we that the accumulation of amyloid seen by scanning and the CSF levels of Aβ and tau that are being measured do indeed reflect the earliest pathogenic mechanisms that lead to symptomatic AD?
Secondly, is this the best time to couple this study with a battery of untested experimental therapies? No one is more aware than I of the desperate need for effective treatments, and the pressure on the investigators to add them to the study must surely be suffocating. My concerns are these: Although the evidence linking amyloid Aβ to AD is overwhelming, we still don’t know how or when it becomes toxic, and, equally important, whether other factors, such as inflammation, oxidative damage, and vascular injury are just as critical to the development of clinical disease....
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One can only applaud the courage and commitment of the investigators involved in this study. It is surely a wise move to follow people with dominant mutations who are clearly at risk for clinical AD, and the markers to be studied are probably the best available.
But I'd still like to ask two questions: How sure are we that the accumulation of amyloid seen by scanning and the CSF levels of Aβ and tau that are being measured do indeed reflect the earliest pathogenic mechanisms that lead to symptomatic AD?
Secondly, is this the best time to couple this study with a battery of untested experimental therapies? No one is more aware than I of the desperate need for effective treatments, and the pressure on the investigators to add them to the study must surely be suffocating. My concerns are these: Although the evidence linking amyloid Aβ to AD is overwhelming, we still don’t know how or when it becomes toxic, and, equally important, whether other factors, such as inflammation, oxidative damage, and vascular injury are just as critical to the development of clinical disease. Does this overwhelming focus on amyloid as the primary culprit divert attention and resources away from the study of these other factors? If we continue to ignore them, the best designed therapies for the control of amyloid may be rendered ineffective.
View all comments by Vincent Marchesi
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Related News: Noisy Response Greets Revised Diagnostic Criteria for AD
Comment by: Allen Frances
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Submitted 4 August 2010
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Posted 4 August 2010
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New Guidelines for Diagnosing Alzheimer's—Wishful Thinking, Dangerous Consequences
Previously, I have been quite critical of the DSM-V suggestion to introduce a new diagnosis—Minor Neurocognitive Disorder—on the grounds that it would create a large false-positive problem and would lead to unnecessary worry and cost with no useful intervention. Even more ambitious and dangerous are the recently suggested diagnostic guidelines for Alzheimer's created by a panel jointly sponsored by the National Institute on Aging and the Alzheimer's Association. The proposal is a clear case of narrowly focused experts getting far ahead of the available technology to suggest what will be an enormously costly public health experiment with dire unintended consequences.
The goal of the proposed guidelines is laudable—to identify those at risk for Alzheimer's even before they have developed clinical symptoms and to intervene preventively before the damage is done. The suggested guidelines would divide Alzheimer's into three groups of ascending severity and clarity of presentation: 1)...
Read more
New Guidelines for Diagnosing Alzheimer's—Wishful Thinking, Dangerous Consequences
Previously, I have been quite critical of the DSM-V suggestion to introduce a new diagnosis—Minor Neurocognitive Disorder—on the grounds that it would create a large false-positive problem and would lead to unnecessary worry and cost with no useful intervention. Even more ambitious and dangerous are the recently suggested diagnostic guidelines for Alzheimer's created by a panel jointly sponsored by the National Institute on Aging and the Alzheimer's Association. The proposal is a clear case of narrowly focused experts getting far ahead of the available technology to suggest what will be an enormously costly public health experiment with dire unintended consequences.
The goal of the proposed guidelines is laudable—to identify those at risk for Alzheimer's even before they have developed clinical symptoms and to intervene preventively before the damage is done. The suggested guidelines would divide Alzheimer's into three groups of ascending severity and clarity of presentation: 1) preclinical, i.e., no symptoms, but positive laboratory findings; 2) mild impairment; and 3) classic dementia. The guidelines would recommend laboratory studies to make the diagnosis in the first two groups, neither of which is currently considered an official diagnosis.
If we had well-established diagnostic tools to identify preclinical and mild presentations, the guidelines would make great sense. Unfortunately, however, we do not yet have proven tests, and guidelines that pretend we do are premature and reckless. Laboratory studies for Alzheimer's are of recent vintage, tested only in small, selected samples, will probably have huge false-positive rates in the general population, are expensive, and carry medical risks. None is nearly ready to be used in routine clinical practice, particularly in the general population.
To make matters worse (and the suggested guidelines even more ridiculous), there is no effective treatment for Alzheimer's in any of its stages. So finding out that you are (only possibly) at risk for developing Alzheimer's would provide little or no benefit—but would create needless worry, testing, treatment, expense, risk, and insurance and disability issues. The attempt to provide early identification with fallible tests and no effective treatment serves no useful purpose and can cause great harm, not only to individuals, but also to public health policy. Scarce health dollars should not be wasted on what would amount to a frivolous public health experiment. First, let's do the research necessary to prove the tests are sufficiently specific and to find medications that work.
How could such a bad idea be forwarded by renowned experts sponsored by august organizations? I have in earlier pieces written on the tunnel vision of experts in any given area and their natural enthusiasm for pushing the boundaries of their disorder of interest. No doubt the premature emergence of these guidelines results from the great frustration we all feel at the slow pace of development of diagnostic and treatment tools for Alzheimer's. Most of us expected there to be a well-established laboratory test by now, and drug discovery has also been disappointingly slow. My guess is that the guideline makers hope to jumpstart the field by highlighting the potential of early identification. But this is definitely putting the cart before the horse. Guidelines that will have great influence on how people live their lives and how the country will spend limited healthcare dollars must follow well-established science and an inclusive public policy debate, not lead it.
I am convinced from my experience with experts that they act from naïve good faith that expanding their field of interest will be good for patients. They tend to be blind to false-positive problems and societal costs because they are not trained to think in these terms, not because of conflicts of interest. But such naïve goodwill does not motivate the corporations that market drugs and diagnostic tests. There will be an explosion of testing and treatment if these guidelines are approved, much or all of it unnecessary and expensive, some of it downright harmful. The medical/industrial complex will have a field day.
The suggested guidelines for Alzheimer's are not yet official, so there is still hope. Given the great impact they will have on public health policy, they should not become official until there is a wide public policy debate with input and monitoring that reaches beyond the narrow group of experts in the field. Decisions on Alzheimer's are too important to patients and public policy to be made exclusively by experts on Alzheimer's.
View all comments by Allen Frances
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Related News: Noisy Response Greets Revised Diagnostic Criteria for AD
Comment by: Allen Frances
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Submitted 13 August 2010
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Posted 13 August 2010
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Alzheimer's Tests: A Research Tool Not Ready for Clinical Use
In July, panels sponsored jointly by the National Institute of Aging and the Alzheimer's Association presented controversial proposed guidelines for diagnosing Alzheimer's at three different stages of its progression:
1) preclinical, 2) mild cognitive impairment, and, 3) classic dementia. The preclinical panel stated that laboratory testing (i.e., PET or MRI scans, spinal taps, or blood tests) before the appearance of symptoms was meant to be purely for research. But the other two panels seemed to suggest that laboratory testing was ready, or soon would be ready, to be used in routine clinical practice in diagnosing mild cognitive impairment or dementia. Faced with widespread skepticism, the panels held a conference call to clarify their position. As reported by Gina Kolata in The New York Times, there is reassuring new information. The panels recognize that laboratory testing is still only a research tool and will not be recommending that it be included as part of current clinical diagnosis. This makes...
Read more
Alzheimer's Tests: A Research Tool Not Ready for Clinical Use
In July, panels sponsored jointly by the National Institute of Aging and the Alzheimer's Association presented controversial proposed guidelines for diagnosing Alzheimer's at three different stages of its progression:
1) preclinical, 2) mild cognitive impairment, and, 3) classic dementia. The preclinical panel stated that laboratory testing (i.e., PET or MRI scans, spinal taps, or blood tests) before the appearance of symptoms was meant to be purely for research. But the other two panels seemed to suggest that laboratory testing was ready, or soon would be ready, to be used in routine clinical practice in diagnosing mild cognitive impairment or dementia. Faced with widespread skepticism, the panels held a conference call to clarify their position. As reported by Gina Kolata in The New York Times, there is reassuring new information. The panels recognize that laboratory testing is still only a research tool and will not be recommending that it be included as part of current clinical diagnosis. This makes great sense. All the available tests are at an early stage of development and are not nearly ready for routine use.
Rapid strides are being made in the study of Alzheimer disease, with powerful new methods leading us closer to understanding its causes and mechanisms. But let's not jump the gun and mislead ourselves and the public into the false beliefs that a diagnostic breakthrough has already been made and that a treatment breakthrough is possible in the near future.
It is easy to show that a promising laboratory procedure yields different group mean values when comparing Alzheimer's to a control group. It is difficult to prove that it has sufficient reliability, accuracy, clinical utility, and cost effectiveness to become a useful diagnostic test worthy of use in routine clinical practice. It will require years of testing in very varied populations before we will learn if any of the currently available candidates is indeed the long-awaited diagnostic test for Alzheimer's.
It is understandable that Alzheimer's experts have a strong desire to become preventively proactive. Can amyloid be the early marker of Alzheimer's, in analogy to cholesterol and heart disease? Can early identification and early intervention prevent the ravages of the disease? The problem is that you cannot skip the middle steps. Do the research first—then publish the guidelines.
We should also be cautious in our expectations for a treatment breakthrough. It is possible that learning more about the mechanisms of Alzheimer's may eventually lead to the development of a rational cure or preventive—but it is equally possible that it will not. The general experience in medicine over the past three decades is that an exponential explosion in knowledge about a disease does not often lead to any immediate miracle cure. The lack of success to date in developing medications for Alzheimer's does not inspire confidence. The available drugs—although they have been highly profitable to the drug companies—have little, if any, efficacy for patients. Attempts to develop a new generation of effective drugs have so far failed despite considerable investment. There does not appear to be any low-hanging fruit.
We should have and encourage reasonable hope regarding advances in Alzheimer's. Progress will be steady, but probably much slower than suggested by the recent excitement.
View all comments by Allen Frances
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Related News: London: What Regulators Say About Trials in Familial AD
Comment by: René Spiegel
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Submitted 9 December 2010
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Posted 9 December 2010
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Placebo or Historical Controls: Mathematical Model Offers a Better Choice
I read this informative series about the expert conference organized by EMA with interest. Among the issues discussed, this meeting touched on the question of whether studies with potential therapeutic agents in carriers of autosomal-dominant AD mutations could serve as a model for simplified clinical testing of new medications against pre-symptomatic stages of the more common sporadic forms of AD. My comment pertains to Part 3 of this series, which addresses the topic of placebo-controlled studies as part of clinical trials of new medications. I notice that this discussion, which comprised primarily questions by participants and answers by regulators, failed to distinguish between early and late clinical development phases of new medications. However, this differentiation is essential, because Phases 1, 2, and 3 of clinical development tackle different questions based on quite different knowledge bases about the therapy at hand.
My colleagues and I take the view that long-term use of placebo...
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Placebo or Historical Controls: Mathematical Model Offers a Better Choice
I read this informative series about the expert conference organized by EMA with interest. Among the issues discussed, this meeting touched on the question of whether studies with potential therapeutic agents in carriers of autosomal-dominant AD mutations could serve as a model for simplified clinical testing of new medications against pre-symptomatic stages of the more common sporadic forms of AD. My comment pertains to Part 3 of this series, which addresses the topic of placebo-controlled studies as part of clinical trials of new medications. I notice that this discussion, which comprised primarily questions by participants and answers by regulators, failed to distinguish between early and late clinical development phases of new medications. However, this differentiation is essential, because Phases 1, 2, and 3 of clinical development tackle different questions based on quite different knowledge bases about the therapy at hand.
My colleagues and I take the view that long-term use of placebo in studies of new compounds that are in advanced development, typically Phase 3, is highly ethically problematic. The Declaration of Helsinki (Seoul, 2008, paragraph 32) allows use of placebo instead of the best current proven intervention in situations “where no current proven intervention exists; or where for compelling and scientifically sound methodological reasons the use of placebo is necessary to determine the efficacy or safety of an intervention and the patients who receive placebo or no treatment will not be subject to any risk of serious or irreversible harm. Extreme care must be taken to avoid abuse of this option.“
With regard to long-term treatment of pre-symptomatic stages of all forms of AD, the first condition (i.e., lack of current proven treatments) is met; however, this is not true for the second condition. Without doubt, patients with autosomal-dominant AD face a high risk of serious or irreversible harm if treated with placebo for extended periods of time (18 months or longer, depending on the mechanism of action of the intervention studied). The same applies to patients with amnestic MCI who show specific neuropsychological, neurochemical, or brain imaging markers of pre-symptomatic AD. In the spirit of the Declaration, it is therefore unacceptable to knowingly expose such trial participants for extended periods of time to an ineffective intervention (placebo) when studying a treatment that in prior clinical trials has shown clear potential for clinically relevant efficacy and acceptable tolerability. These latter elements are customarily established in Phase 1 and early Phase 2 trials, which are shorter in duration and do require placebo control. For pre-registration trials, so-called pivotal studies, however, the scientific community and regulatory authorities would be well advised to consider novel study designs. Such designs should combine maximal protection of patients against ineffective treatments with the ability to foster scientifically valid testing of new candidate drugs.
In an attempt to realize an alternative to placebo-based study designs that is both ethically and scientifically sound, our group has developed mathematical models to reliably forecast clinically relevant endpoints and disease trajectories of AD patients in pre-symptomatic stages (MCI subjects). Our models make use of medical history, biological, and neuropsychological measures that are routinely established at baseline of every therapeutic study. Model-based forecasted endpoints and trajectories of decline constitute the background—the “simulated placebo group”—against which potential drug effects can be contrasted. We call this alternative study design the Placebo Group Simulation Approach (PGSA). Our ideas about it were presented at the recent CTAD congress in Toulouse (Poster 25, Abstract in J Nutrition Health & Aging 14: S16, 2010; we will gladly send a PDF file of the poster to colleagues interested in our concept).
First results using data from the ADNI database clearly demonstrate that empirically established and mathematically modelled endpoints and disease trajectories show high concordance in large samples of pre-symptomatic AD patients. We are currently attempting to validate our models using several independent datasets. Based on the first encouraging findings, we hope that the PGSA will replace placebo-controlled long-term studies in advanced stages of development of new anti-AD drugs. Needless to say, trials offering treatment with active drug to all participants are also easier to perform and less costly.
(Previously at Novartis, the author was a project leader in the development of the cholinesterase inhibitor drug rivastigmine; see, e.g., Spiegel, 2002 and Almqvist et al., 2004.)
View all comments by René Spiegel
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Related News: Research Brief: How Normal Is Normal? ADNI Data Begs The Question
Comment by: Roberta Diaz Brinton, ARF Advisor
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Submitted 18 January 2011
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Posted 18 January 2011
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I recommend the Primary Papers
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