Questionable utility of the Montreal Cognitive Assessment (MoCA) in detecting cognitive impairment in individuals with comorbid PTSD and SUD
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.
Bibliographic record
Abstract
Posttraumatic stress disorder (PTSD) is frequently comorbid with substance use disorder (SUD) in individuals seeking treatment for substance use. Further, SUD and PTSD are individually associated with cognitive impairment (CI) and poor treatment outcomes. Despite the frequent use of the Montreal Cognitive Assessment (MoCA) as a screening tool for CI, the validity of the MoCA has not been established in individuals with comorbid SUD-PTSD. We assessed the criterion validity of the MoCA in 128 participants seeking inpatient medically-assisted detoxification using the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) as a reference for CI. The correlation between the RBANS and MoCA was weaker in those with SUD-PTSD (r = .32) relative to SUD alone (r = .56). Receiver operating characteristic (ROC) curves demonstrated that the MoCA had moderate-to-high ability to discriminate CI in individuals with SUD alone, with an area under the ROC curve of .82 (95% CI .69–.92) and optimal cutoff score of ≤23. However, in individuals with comorbid SUD-PTSD, the ROC analysis was not significant. Results suggest that PTSD, when comorbid with SUD, reduces the criterion-related validity of the MoCA. We recommend exercising caution when classifying CI in individuals with SUD-PTSD using the MoCA and suggest reducing the cutoff score to ≤23 in order to limit the rate of false-positive CI diagnoses in SUD-PTSD populations.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it