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Record W3005447570 · doi:10.1007/s40261-020-00893-8

Evaluation of the Efficacy of BI 425809 Pharmacotherapy in Patients with Schizophrenia Receiving Computerized Cognitive Training: Methodology for a Double-blind, Randomized, Parallel-group Trial

2020· article· en· W3005447570 on OpenAlexaff
Philip D. Harvey, Christopher R. Bowie, Sean McDonald, Jana Podhorná

Bibliographic record

VenueClinical Drug Investigation · 2020
Typearticle
Languageen
FieldMedicine
TopicSchizophrenia research and treatment
Canadian institutionsBoehringer Ingelheim (Canada)Queen's University
FundersBoehringer Ingelheim
KeywordsPharmacotherapyRandomized controlled trialSchizophrenia (object-oriented programming)MedicineCognitionPhysical therapyDouble blindPsychiatryInternal medicinePlaceboAlternative medicine

Abstract

fetched live from OpenAlex

BACKGROUND AND OBJECTIVE: Cognitive impairments associated with schizophrenia (CIAS) predict poor functional outcomes, but there are currently no approved pharmacological treatments for patients with CIAS. Additional cognitive stimulation may be required for pro-cognitive medications to improve efficacy, and computerized cognitive training (CCT) can be used to increase cognitive activity. A trial evaluating the effects of the novel glycine transporter inhibitor BI 425809 compared with placebo, on a background of regularly self-administered CCT in clinically stable patients with schizophrenia has commenced and its methodology is described here. METHODS: This Phase II, multinational, randomized, double-blind, placebo-controlled, parallel-group trial will randomize 200 clinically stable outpatients, aged 18-50 years with established schizophrenia and no other major psychiatric disorder, 1:1 to BI 425809 or placebo once daily for 12 weeks. Following screening, which included a 2-week CCT run-in period, patients sufficiently compliant with CCT (target: ≥ 2 h of CCT per week during CCT run-in) will be randomized. During the 12-week treatment period, all patients should complete a total of approximately 30 h of CCT. The primary endpoint is change from baseline in neurocognitive function as measured by the neurocognitive composite score of the Measurement and Treatment Research to Improve Cognition in Schizophrenia Consensus Cognitive Battery (MCCB), after 12 weeks of treatment. Secondary endpoints include change from baseline in overall MCCB score, Schizophrenia Cognition Rating Scale, Positive and Negative Syndrome Scale, and safety (adverse events [AEs]) and serious AEs. Primary and secondary endpoints will be analyzed using the Restricted Maximum Likelihood-based mixed model for repeated measures. Novel endpoints include the Balloon Effort Task to evaluate patients' motivation and the Virtual Reality Functional Capacity Assessment Tool to assess skills for daily functioning. DISCUSSION: This is one of the largest and longest trials to date to combine pharmacological therapy with CCT in patients with schizophrenia and will determine the benefit of combining BI 425809 pharmacotherapy with cognitive stimulation through self-administered CCT. This trial will further evaluate whether improvements in neurocognition translate into improved everyday functioning, whether self-administered CCT can be effectively implemented in a large multinational trial, and the role of motivation in neurocognitive and functional improvements. TRIAL REGISTRATION: Registered on Clinicaltrials.gov on March 1, 2019 (NCT03859973).

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)0.025
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.025
Threshold uncertainty score0.133

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0250.018
Meta-epidemiology (narrow)0.0040.002
Meta-epidemiology (broad)0.0060.004
Bibliometrics0.0010.001
Science and technology studies0.0010.003
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0090.002

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 head0.351
GPT teacher head0.457
Teacher spread0.106 · 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 designRandomized trial
Domainnot available
GenreMethods

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

Citations24
Published2020
Admission routes1
Has abstractyes

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