Negative Symptoms and Functioning in Youth at Risk of Psychosis: A Systematic Review and Meta-analysis
Bibliographic record
Abstract
LEARNING OBJECTIVE: After participating in this activity, learners should be better able to:• Evaluate the relationship between negative symptoms and functioning in youth at clinical high risk for psychosis. AIM: Youth at CHR for psychosis often demonstrate significant negative symptoms and poor functioning, though the magnitude and direction of the relationship between the two remains unknown. The objective of this systematic review is to summarize the relationship between negative symptoms and functioning in CHR samples. METHOD: Electronic databases CINAHL, EBM, Embase, MEDLINE, and PsycINFO were searched from inception. Studies were selected if they included any study that reported a relationship between negative symptoms and functioning in youth at clinical high risk (CHR). The correlation coefficient r was converted to Cohen's d, and all random-effects meta-analyses were performed using the transformed values. RESULTS: Forty-one studies met the inclusion criteria, including a total of 4574 individuals at CHR for psychosis. Negative symptom total scores were significantly associated with poorer global functioning (d, -1.40; 95% CI, -1.82 to -0.98; I = 79.4%; p < .001 [9 studies, n = 782]), social functioning (d, -1.10; 95% CI, -1.27 to -0.93; I = 10.40%; p < .001 [12 studies, n = 811]), and role functioning (d, -0.96; 95% CI, -1.17 to -0.76; I = 41.1%; p < .001 [9 studies, n = 881]). In addition, negative symptoms were consistently associated with poor premorbid functioning. When examining negative symptom domains, avolition, anhedonia, and blunted affect were each significantly and independently associated with poorer social functioning and role functioning. In terms of prediction models, negative symptoms contributed to the prediction of lower functioning across multiple studies. CONCLUSION: This meta-analysis demonstrates a strong relationship between negative symptoms and functioning in youth at clinical high risk for psychosis.
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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 | 0.012 | 0.028 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.015 | 0.030 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".