2120 – Feasibility Of The Use Of The Screen For Cognitive Impairment In Psychiatry (scip) In a Clinical Population With Adult Attention Deficit Disorder
Bibliographic record
Abstract
Cognitive impairment is central to many psychiatric conditions and is a determinant factor of functioning. The evaluation of cognition is time-consuming and recourse to it limited by cost, accessibility of expertise, and, in the case of computerized batteries, equipment. The SCIP is a 15 minute paper and pencil evaluation of cognitive function which can be integrated into clinical practice. It is thus a tool which can assist in determining which patients require a more extensive evaluation and can inform the elaboration of a personalized treatment plan. Our group (Groupe Comorbidité psychiatrique et Dimensions) has validated a french translation of the SCIP and is testing the acceptability of its integration into clinical practice in selected clinical populations. We will present preliminary data regarding the use of the SCIP in adult attention deficit disorder. Forty adult patients with attention deficit disorder were invited to participate in the study. In order to maintain a sample representative of clinical practice the only exclusion criteria were inability to speak french and inability to give informed consent. Demographic characteristics were collected, and a multiaxial DSM-IV diagnosis determined by the treating physician, SCIP was administered. The time to administer the SCIP was recorded, and a qualitative questionnaire of patient impressions was completed. We will present preliminary results of this study.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".