Co‐occurrence of posttraumatic stress disorder with positive psychotic symptoms in a nationally representative sample
Bibliographic record
Abstract
The association between posttraumatic stress disorder (PTSD) and positive psychotic symptoms was examined in the National Comorbidity Survey (N = 5,877). The Composite International Diagnostic Interview (CIDI) was used to make DSM-III-R (Diagnostic and Statistical Manual of Mental Disorders, Third Edition, Revised; American Psychiatric Association, 1987) diagnoses. Posttraumatic stress disorder was found to be associated with an increased likelihood of endorsing one or more psychotic symptoms after adjusting for sociodemographics, psychiatric and medical comorbidity (odds ratios (OR) = 1.83; 95% confidence interval (CI): 1.43-2.45; p < .001). The co-occurrence of PTSD with psychotic symptoms was marked by greater levels of severity (higher total number of PTSD symptoms, greater levels of comorbidity, and high distress) compared with PTSD alone. This is the first population-based study to investigate PTSD in relation to endorsement of positive psychotic symptoms, and a strong association was obtained.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".