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Record W2004882945 · doi:10.1212/wnl.0000000000001133

Oxytocin for frontotemporal dementia

2014· article· en· W2004882945 on OpenAlexaff
Elizabeth Finger, Julia MacKinley, Mervin Blair, Lindsay D. Oliver, Sarah Jesso, Maria Carmela Tartaglia, Michael Borrie, Jennie Wells, Isabel Dziobek, Stephen Pasternak, Derek Mitchell, Katherine P. Rankin, Andrew Kertesz, Adam L. Boxer

Bibliographic record

VenueNeurology · 2014
Typearticle
Languageen
FieldPsychology
TopicNeuroendocrine regulation and behavior
Canadian institutionsOccupational Cancer Research CentreUniversity of TorontoWestern University
FundersNational Institute of Neurological Disorders and StrokeNational Institute on Aging
KeywordsFrontotemporal dementiaOxytocinDementiaMedicineNeurosciencePsychologyInternal medicineDisease

Abstract

fetched live from OpenAlex

OBJECTIVE: To determine the safety and tolerability of 3 doses of intranasal oxytocin (Syntocinon; Novartis, Bern, Switzerland) administered to patients with frontotemporal dementia (FTD). METHODS: We conducted a randomized, parallel-group, double-blind, placebo-controlled study using a dose-escalation design to test 3 clinically feasible doses of intranasal oxytocin (24, 48, or 72 IU) administered twice daily for 1 week to 23 patients with behavioral variant FTD or semantic dementia (clinicaltrials.gov registration number NCT01386333). Primary outcome measures were safety and tolerability at each dose. Secondary measures explored efficacy across the combined oxytocin vs placebo groups and examined potential dose-related effects. RESULTS: All 3 doses of intranasal oxytocin were safe and well tolerated. CONCLUSIONS: A multicenter trial is warranted to determine the therapeutic efficacy of long-term intranasal oxytocin for behavioral symptoms in FTD. CLASSIFICATION OF EVIDENCE: This study provides Class I evidence that for patients with FTD, intranasal oxytocin is not significantly associated with adverse events or significant changes in the overall neuropsychiatric inventory.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.371
Threshold uncertainty score1.000

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)0.0010.000

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 head0.031
GPT teacher head0.330
Teacher spread0.299 · 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 designNot applicable
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

Citations98
Published2014
Admission routes1
Has abstractyes

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