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Record W3111578496 · doi:10.1002/alz.045331

HOPE4MCI trial: First trial targeting reduction of hippocampal overactivity to treat mild cognitive impairment due to Alzheimer’s disease with AGB101

2020· article· en· W3111578496 on OpenAlexaboutno aff
Sharon Rosenzweig‐Lipson, Russell Barton, Michela Gallagher, Chris J. Edgar, Paul Maruff, Richard C. Mohs

Bibliographic record

VenueAlzheimer s & Dementia · 2020
Typearticle
Languageen
FieldMedicine
TopicAlzheimer's disease research and treatments
Canadian institutionsnot available
Fundersnot available
KeywordsPlaceboNeuropathologyHippocampal formationAlzheimer's diseaseLevetiracetamNeuroscienceHippocampusDementiaEpisodic memoryClinical Dementia RatingPsychologyMedicineMemory impairmentAlzheimer's Disease Neuroimaging InitiativeClinical trialHippocampal sclerosisOncologyInternal medicineTemporal lobeCognitionDiseasePathologyEpilepsy

Abstract

fetched live from OpenAlex

Abstract Background Evidence from preclinical models and human patients demonstrates that neuronal circuits become hyperactive in prodromal AD contributing to the accumulation of Alzheimer’s pathology and subsequent cognitive decline. Such data support the hypothesis that neural overactivity in the medial temporal lobe/hippocampus is a critical driver of AD neuropathology, including the deposition of amyloid and spread of tau along connectional pathways. AGB101 (low dose levetiracetam) demonstrates efficacy on a range of molecular, synaptic, electrophysiological, functional and behavioral endpoints across models and species. In a Phase 2 study measuring hippocampal activity during a pattern separation memory test in patients with aMCI, AGB101 normalized hippocampal activity and improved performance on this specific memory assessment of hippocampal function. The HOPE4MCI trial is investigating the effects of AGB101 (220 mg) vs placebo in patients with MCI due to AD. The objective of the study is to assess the efficacy of AGB101 (low‐dose levetiracetam, 220 mg, extended release tablet) compared to placebo in subjects with mild cognitive impairment (MCI) due to Alzheimer’s disease (AD) using Clinical Dementia Rating‐Sum of Boxes (CDR‐SB) scores as the sole primary outcome. A substudy will evaluate levels of tau protein in the brain using tau PET ([18F]MK‐6240) at baseline and end of protocol. Method This is a multicenter, randomized, double‐blind, placebo‐controlled, 78‐week, fixed‐dose study evaluating AGB101 versus placebo as a treatment for slowing the progression of MCI due to AD. Inclusion criteria: Subjects must meet the following inclusion criteria at screening: 1) Subjects between 55 and 85 years old; 2) Have MCI due to AD consistent with the NIA‐AA criteria: MMSE (24‐30); CDR (0.5); Impaired delayed recall on the ISLT; essentially preserved ADLs' 3) Evidence of an amyloid‐positive PET scan Result The HOPE4MCI trial is currently underway. Sites are currently enrolling in the US and Canada with plans to expand to Europe. Up to date subject demographics, screen failure information, safety and dropout information will be presented at the meeting. Conclusion HOPE4MCI represents the first and only Phase 3 clinical trial targeting the reduction of hippocampal overactivity for slowing the progression of MCI due to AD.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0080.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.051
GPT teacher head0.324
Teacher spread0.273 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNon-randomized trial
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations7
Published2020
Admission routes1
Has abstractyes

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