Impaired Insight Into Delusions Predicts Treatment Outcome During a Randomized Controlled Trial for Psychotic Depression (STOP-PD Study)
Bibliographic record
Abstract
BACKGROUND: Insight into delusional beliefs varies in patients with major depressive disorder (MDD) with psychotic features ("psychotic depression"). The relationship between impaired insight and illness severity and its impact on treatment outcomes has not been studied in psychotic depression. As such, the aim of this analysis was to explore the relationship among impaired insight, patient characteristics (ie, illness severity, cognition, suicidality, and social functioning), and treatment outcome (ie, remission) during acute treatment of psychotic depression. METHOD: This secondary analysis is based on the data from the Study of Pharmacotherapy for Psychotic Depression (STOP-PD) in which 259 participants meeting DSM-IV criteria for MDD with psychotic features enrolled between December 2002 and June 2007 (including 142 aged ≥ 60 years) in a 4-center, 12- week, double-blind, randomized controlled trial funded by the US National Institutes of Health. Insight into delusions was assessed using the Delusion Assessment Scale (DAS). The primary outcomes were the predictive utility of insight into illness (ie, Hamilton Depression Rating Scale [HDRS] insight item) and insight into delusions (conviction factor derived from the DAS) on final treatment outcome at 12 weeks of treatment (ie, full remission, partial remission, and nonremission). RESULTS: At baseline, impaired insight into delusions was positively associated with illness severity (HDRS-16 which excluded the insight item, r = 0.15, P = .016) and negatively correlated with measures of cognition (P < .05). Improvement in insight was not associated with changes in cognition, suicidality, or social functioning after adjusting for covariates. Independent of the severity of depression or psychosis, impaired insight into delusions at baseline (χ² = 11.65, P = .020) and after 3 (χ² = 9.62, P = .047), 6 (χ² = 6.97, P = .031), and 8 (χ² = 9.08, P = .011) weeks of treatment predicted remission at the end of the trial. CONCLUSIONS: Impaired insight into delusions appears to be an independent predictor of remission in MDD with psychotic features during acute treatment, suggesting that more attention should be paid to this symptom. Longitudinal studies are required to determine the impact of impaired insight into delusions on long-term outcomes, including relapse. TRIAL REGISTRATION: ClinicalTrials.gov identifier: NCT00056472.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".