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Record W4390408017 · doi:10.1177/07067437231223340

Comparing Methods of Seizure Response Monitoring During Electroconvulsive Therapy: Comparer les méthodes de surveillance des interventions en cas de crise durant la thérapie par électrochocs

2023· article· en· W4390408017 on OpenAlexaffvenue
Timothy Hierlihy, Gerald Mugford, Weldon Bonnell, Mohamed Amin Mekawy

Bibliographic record

VenueThe Canadian Journal of Psychiatry · 2023
Typearticle
Languageen
FieldMedicine
TopicElectroconvulsive Therapy Studies
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsElectroconvulsive therapyElectroencephalographyPsychological interventionPsychologyMedicineGold standard (test)Stimulus (psychology)PsychiatryAnesthesiaInternal medicinePsychotherapistCognition

Abstract

fetched live from OpenAlex

OBJECTIVE: Electroconvulsive therapy (ECT) is used to treat several mental illnesses. Seizure duration is used to determine if the administered stimulus was adequate. Duration is estimated by electroencephalogram (EEG) interpretation and/or observed motor response (OMR). Neither method is considered the gold standard. This study investigated the relationship between the 2 methods. The hypothesis was that both EEG and OMR would be significantly positively correlated. Previous researchers have suggested that the 2 methods resulted in different estimates. METHODS: A case series was conducted using recorded estimates obtained prospectively from 102 ECTs on adult psychiatric inpatients. RESULTS: < 0.001). CONCLUSIONS: This study suggests that the 2 methods differ, and further research is needed to determine the best indicator of adequate treatment.

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)0.005
metaresearch head score (Gemma)0.001
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 score0.073
Threshold uncertainty score0.949

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.069
GPT teacher head0.395
Teacher spread0.326 · 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

Citations3
Published2023
Admission routes2
Has abstractyes

Explore more

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