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Record W4360620785 · doi:10.33137/utmj.v100i1.39014

Management of Alzheimer’s disease in the next ten years

2023· article· en· W4360620785 on OpenAlexvenueno aff
Immanuel Sani

Bibliographic record

VenueUniversity of Toronto Medical Journal · 2023
Typearticle
Languageen
FieldMedicine
TopicAlzheimer's disease research and treatments
Canadian institutionsnot available
Fundersnot available
KeywordsDementiaDiseaseMedicineNeurosciencePopulationPsychological interventionIntensive care medicinePsychiatryPsychologyPathology

Abstract

fetched live from OpenAlex

Since the inception of clinical neuroscience, scientific breakthroughs have enhanced our knowledge of how certain pathologies impair the function of the nervous system. Alzheimer’s disease (AD) is a perpetual challenge in modern clinical neuroscience due to the ageing population, which makes individuals increasingly susceptible to AD. On a global scale, AD is the most common form of dementia and the number of people living with dementia worldwide has more than doubled from 1990 to 2016, which warrants prompt development of effective interventions that may halt or delay disease progression. This narrative review recommends further investigation into the effectiveness of monoclonal antibody treatment in patients with early AD and the utilisation of several laboratory tools to understand the complex aetiology of AD. In the next ten years, it is hoped that the recommendations in this article may come to fruition and facilitate further advancements in clinical neuroscience to develop therapies that delay the onset and even reverse the clinical manifestation of AD that currently has a poor prognosis.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.763
Threshold uncertainty score0.999

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)0.0020.000

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 head0.038
GPT teacher head0.305
Teacher spread0.267 · 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.

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

Citations0
Published2023
Admission routes1
Has abstractyes

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