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Record W3028304815 · doi:10.1093/schbul/sbaa029.649

T89. THE RELIABILITY OF THE CORE NEGATIVE SYMPTOMS SCALE OF SCHIZOPHRENIA USING THE STANDARD FOR CLINICIANS’ INTERVIEW IN PSYCHIATRY (SCIP)

2020· article· en· W3028304815 on OpenAlexaboutno aff
Ahmed Aboraya

Bibliographic record

VenueSchizophrenia Bulletin · 2020
Typearticle
Languageen
FieldPsychology
TopicMental Health Research Topics
Canadian institutionsnot available
Fundersnot available
KeywordsScale for the Assessment of Negative SymptomsPsychiatryAnhedoniaSchizophrenia (object-oriented programming)PsychologyPositive and Negative Syndrome ScaleClinical psychologyPsychosisNegative symptom

Abstract

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Abstract Background Recent research on the negative symptoms of schizophrenia has produced reliable and validated scales such as the Scale for the Assessment of Negative Symptoms (SANS), the Schedule for the Deficit Syndrome, the Negative Symptoms Scale of Lewine, and others (1–3). More than 30 negative symptoms have been described, among these, avolition which is considered a core negative symptom (4). The DSM-5 recognizes five main negative symptoms: blunted affect, avolition, alogia, anhedonia and asociality (5). Other researchers consider attention impairment, poor self- care, and psychomotor retardation as negative symptoms (1, 6). There is a need to derive a short list of the core negative symptoms (CNS) of schizophrenia that are reliable and useful in clinical settings and clinical research. Methods The Standard for Clinicians’ Interview in Psychiatry (SCIP) is a new valid and reliable diagnostic interview that was tested in an international multisite study in three countries (USA, Canada and Egypt) between 2000 and 2012 (7–10). A total of 700 patients were interviewed at William R. Sharpe Jr. Hospital in Weston, West Virginia (670 patients) and Chestnut Ridge Center in Morgantown, West Virginia (30 patients). Mean patient age was 34, 59% male, 95% White and 34% had less than 12 years of education. The SCIP includes 8 items covering the main negative symptoms of schizophrenia: avolition, blunted affect, alogia, psychomotor retardation, poor self-care, anhedonia, attention impairment, and asociality. Results Inter-rater reliability Kappa (k) and standard error (SE) were calculated for each of the main negative symptoms: avolition (k=0.74, SE=0.04), blunted affect (k=0.68, SE=0.05), alogia (k=0.62, SE=0.05), psychomotor retardation (k=0.72, SE=0.04), poor self-care (k=0.79, SE=0.06), anhedonia (k=0.87, SE=0.04), attention impairment (k=0.92, SE=0.12), asociality (k=0.74, SE=0.04). Cronbach’s alpha for internal consistency and the mean interitem correlation (MIC) of several models were calculated. Cronbach’s alpha and the MIC of the five-factor negative dimension (blunted affect, avolition, alogia, psychomotor retardation and poor self-care) were: alpha = 0.83, MIC=0.49. The item-rest correlations (IRCs) of each of the 5 negative symptoms were: blunted affect = 0.68, avolition = 0.57, alogia = 0.67, psychomotor retardation = 0.61 and poor self-care = 0.57. The high item-rest correlations of all five negative symptoms may indicate that they represent the Core Negative Symptoms (CNS) of schizophrenia. Adding anhedonia to the five-factor model to create a six-factor model resulted in a low item-rest correlation (IRC) of anhedonia (IRC=0.06) and a lower alpha (0.76). Similarly, adding attention impairment to the five-factor model to create a six-factor model resulted in a low item-rest correlation (IRC) of attention impairment (IRC=0.02) and a lower alpha (0.75). Similarly, adding asociality to the five-factor model to create a six-factor model resulted in a low item-rest correlation (IRC) of asociality (IRC=0.05) and a lower alpha (0.75). Finally, adding anhedonia, attention impairment and asociality to the five-factor model to create an eight-factor model resulted in low IRCs for anhedonia, attention impairment and asociality (IRCs are 0.12, 0.06, 0.10 respectively) and a lower alpha (0.67). Discussion The Core Negative Symptoms (CNS) Scale includes five negative items. Three items (avolition, psychomotor retardation and poor self-care) have good agreement (kappa >0.7) and two items (alogia and blunted affect) have fair agreement (kappa ranges from 0.5 to 0.7). Cronbach’s alpha was also high (0.83). The CNS scale can therefore be considered reliable at the dimensional level.

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)0.005
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.005
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.089
GPT teacher head0.391
Teacher spread0.301 · 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 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".

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Published2020
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