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Record W2125265326 · doi:10.1207/s15324826an1002_07

Reliable Change Indexes for Memory Performance in Schizophrenia as a Means to Determine Drug-Induced Cognitive Decline

2003· article· en· W2125265326 on OpenAlex
Steffen Moritz, Grant L. Iverson, Todd S. Woodward

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueApplied Neuropsychology · 2003
Typearticle
Languageen
FieldMedicine
TopicSchizophrenia research and treatment
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsSchizophrenia (object-oriented programming)AnticholinergicPsychologyCognitionVerbal memoryVerbal learningMemory impairmentPsychiatryCognitive remediation therapyClinical psychologyAudiologyMedicineInternal medicine

Abstract

fetched live from OpenAlex

Some psychotropic medications frequently prescribed in schizophrenia, especially agents that contain anticholinergic properties, have adverse effects on learning and memory. Given the impact of memory on both functional and symptomatic outcome in schizophrenia, it is important to determine if patients suffer from medication-related memory impairment. This study provides a statistical methodology for identifying medication-related changes in memory functioning. Reliable change estimates were determined for Rey Auditory Verbal Learning Test performance in 38 inpatients with schizophrenia. When an 80% confidence criterion was applied, improvement or decline of 12 words in the total score (sum score: Trials 1-5) cannot be attributed to measurement error. These findings should help clinicians better understand cognitive side effects and facilitate decision making regarding changes to individual patient's psychopharmacotherapy.

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.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.642
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
Bibliometrics0.0000.001
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 head0.054
GPT teacher head0.334
Teacher spread0.280 · 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