Validation d’une procédure de dépistage du trouble de personnalité limite selon le Modèle alternatif pour les troubles de la personnalité du DSM-5
Bibliographic record
Abstract
Objectives The fifth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) includes an Alternative Model for Personality Disorders (DSM-5), which defines personality disorders based on two dimensional criteria. Criterion A corresponds to the severity of personality dysfunction in the areas of self and interpersonal functioning, while Criterion B comprises five pathological domains including a total of 25 facets. Six specific disorders, including borderline personality disorder (BPD), are defined in the AMPD based on Criteria A and B. However, there is currently very little data on these diagnoses as they are operationalized in the MATP. This study aims to present data on this recent operationalization of BPD. More specifically, we will first introduce a procedure, based on self-reported questionnaires covering the two main MATP criteria, implemented to generate the BPD diagnosis from the AMPD. Then, we will assess its validity (a) by documenting its prevalence in a clinical sample; (b) by determining its degree of correspondence with the "traditional" BPD categorical diagnosis and with a dimensional measure of borderline symptomatology; (c) by presenting convergent validity data with constructs relevant to the study of BPD (impulsivity, aggression); and (d) by determining the incremental validity of the proposed procedure in contrast with a simplified approach where only Criterion B would be considered. Method Data from 287 patients recruited as part of the admission process at the Centre de traitement le Faubourg Saint-Jean of the CIUSSS-Capitale-Nationale were analyzed. The BPD diagnosis from the MATP was generated based on two validated self-report questionnaires, in their French version, namely the Self and Interpersonal Functioning Scale (Criterion A) and the Personality Inventory for DSM-5-Faceted Brief Form (Criterion B). Results The BPD diagnosis, as operationalized in the AMPD, had a prevalence of 39.7% in the sample. A moderate fit with the clinician's diagnosis of BPD according to the traditional DSM-5 categorical model was observed, as well as a strong correlation with a dimensional measure of borderline symptomatology. Nomological network analysis revealed high and theoretically expected correlations between the disorder and measures of aggression and impulsivity. The proposed diagnostic extraction procedure, which uses Criteria A and B, showed incremental validity in the statistical prediction of external variables (borderline symptomatology, aggression, impulsivity) compared to a simplified procedure using only Criterion B. Conclusions The proposed procedure for generating the BPD diagnosis according to the MATP definition yields promising results and could allow screening for the disorder based on this contemporary conceptualization of personality pathologies.
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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 | 0.080 | 0.203 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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.
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".