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Record W4403053126 · doi:10.1038/s41398-024-03118-0

Davunetide sex-dependently boosts memory in prodromal Alzheimer’s disease

2024· article· en· W4403053126 on OpenAlexfundno aff
Illana Gozes, J.–L. Blatt, Alexandra Lobyntseva

Bibliographic record

VenueTranslational Psychiatry · 2024
Typearticle
Languageen
FieldMedicine
TopicAlzheimer's disease research and treatments
Canadian institutionsnot available
FundersSagol School of Neuroscience, Tel Aviv UniversityTel Aviv UniversityResearch Executive AgencyCanadian Friends of Tel Aviv University
KeywordsDementiaDiseaseAlzheimer's diseaseSchizophrenia (object-oriented programming)Memory impairmentPsychologyPsychiatryMedicineNeuroscienceCognitionInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: The tauopathy inhibitor, davunetide shows sex-dependent efficacy in women suffering from progressive supranuclear palsy. Extending these findings to prodromal Alzheimer's disease, we submitted a double-blind, placebo-controlled, 12 weeks/16 weeks follow-up, davunetide clinical trial results in amnestic mild cognitive impairment (ClinicalTrials.gov ID NCT00422981), to a sex-dependent analysis. METHODS: One hundred forty-four individuals, separated into eight groups (1:2 placebo-and 2 doses, 5 mg davunetide/daily or 15 mg davunetide/twice-daily, with matching placebo intranasal volumes), were evaluated. RESULTS: Significant dose-dependent cognitive increases were observed in men compared to women with a test of delayed (12 ss) visual matching to the sample. In a test of semantic working memory and attention (digit span), women showed a significant low-dose placebo effect, ensuing in a high dose significant davunetide improvement, over the matched placebo. Correlating anxiety with cognition showed sex-opposing results, with women depicting significant anxiety correlations with delayed matching to sample. DISCUSSION: In conclusion, sex-specific prodromal Alzheimer's drug development is encouraged, with davunetide playing a lead initiative role.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.296
Threshold uncertainty score0.854

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.029
GPT teacher head0.334
Teacher spread0.305 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations18
Published2024
Admission routes1
Has abstractyes

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