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Record W4312103717 · doi:10.1093/geroni/igac059.396

POTENTIAL BENEFITS OF THC AND CBD IN THE TREATMENT OF HOSPICE-ELIGIBLE DEMENTED AND AGITATED PATIENTS

2022· article· en· W4312103717 on OpenAlexfundno aff
Jacobo` Mintzer

Bibliographic record

VenueInnovation in Aging · 2022
Typearticle
Languageen
FieldMedicine
TopicCannabis and Cannabinoid Research
Canadian institutionsnot available
FundersUniversity of OttawaUniversity of CincinnatiTexas A and M UniversityUniversity of Georgia
KeywordsCannabidiolDementiaMedicineDronabinolDiseasePsychiatryIntensive care medicineCannabisCannabinoidInternal medicine

Abstract

fetched live from OpenAlex

Abstract Today, half of the patients suffering from Alzheimer’s disease (AD) will use hospice care in the last days of their life. Most of them will present with moderate to severe agitation. In the absence of evidence-based guidelines, Hospice care eligible patients with Agitation and Alzheimer’s disease (AD) or other types of Dementia (HAD) are treated with a combination of antipsychotics, benzodiazepines, and opiates, which generate a variety of side effects. Two cannabinoids, tetrahydrocannabinol (THC) and cannabidiol (CBD), appear to be promising therapies for agitation in HAD with minimal side effects. Specifically, we suggest that a combination of THC and CBD oils have enhanced synergistic effects while maintaining a low side effect profile that the combination may provide. The evidence for this hypothesis will be discussed during the symposium.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
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)0.0040.000

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 head0.017
GPT teacher head0.295
Teacher spread0.278 · 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 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
Published2022
Admission routes1
Has abstractyes

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