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Record W2080913928 · doi:10.1159/000366484

Augmentation of Antipsychotics with Electroconvulsive Therapy in Treatment-Resistant Schizophrenia Patients with Dominant Negative Symptoms: A Pilot Study of Effectiveness

2014· article· en· W2080913928 on OpenAlexaboutno aff
Tomasz Pawełczyk, Emilia Kołodziej–Kowalska, Agnieszka Pawełczyk, Jolanta Rabe‐Jabłońska

Bibliographic record

VenueNeuropsychobiology · 2014
Typearticle
Languageen
FieldMedicine
TopicElectroconvulsive Therapy Studies
Canadian institutionsnot available
FundersUniwersytet Łódzki
KeywordsElectroconvulsive therapyPositive and Negative Syndrome ScaleSchizophrenia (object-oriented programming)Internal medicinePsychologyDepression (economics)Clinical Global ImpressionPsychosisMedicinePsychiatryPlacebo

Abstract

fetched live from OpenAlex

OBJECTIVES: The aim of the study was to determine the effectiveness of the augmentation of antipsychotics (AP) with electroconvulsive therapy (ECT) in treatment-resistant schizophrenia (TRS) patients with dominant negative symptoms. METHODS: The study encompassed 34 patients aged 21-55 years, 47.1% of whom were female, who were diagnosed with TRS. Each patient underwent a course of ECT sessions combined with AP medications which had previously been found to be ineffective. Prior to ECT and within 3 days after the final ECT session, the participants were evaluated on the Positive and Negative Syndrome Scale (PANSS), the Calgary Depression Scale for Schizophrenia and the Clinical Global Impression scales. RESULTS: Augmentation of AP therapy with ECT led to a significant decrease in symptom severity in TRS patients with dominant negative symptoms, 58.8% of whom demonstrated at least a 25% decrease in the total PANSS score. The greatest reductions were observed in the general and positive PANSS subscales (mean ± SD: 11.35 ± 7.43 and 6.79 ± 5.23 patients), and the least significant in the negative symptoms subscale (5.03 ± 4.36 patients). CONCLUSION: Augmentation of AP therapy with ECT in a group of TRS patients with dominant negative symptoms induced a significant decrease in symptom severity. The greatest reductions were obtained in general and positive symptoms and the least in negative symptoms.

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 score0.263
Threshold uncertainty score0.877

Codex and Gemma teacher scores by category

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

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 head0.011
GPT teacher head0.268
Teacher spread0.257 · 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

Citations15
Published2014
Admission routes1
Has abstractyes

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