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Record W7160862993 · doi:10.1093/schbul/sbaf197

Premorbid adjustment problems, negative symptoms, and cognitive impairment in a large international sample at clinical high risk for psychosis: Findings from the Accelerating Medicines Partnership—Schizophrenia

2025· article· en· W7160862993 on OpenAlexaff
Henry R. Cowan, Danielle Pratt, Jai L Shah, Scott W Woods, Luis Alameda, Martin Lepage, Stewart A. Shankman, Jean Addington, C Martinez Arango, Carrie E Bearden, Sylvain Bouix, Nicholas J Breitborde, Matthew R Broome, Kristin S Cadenhead, Monica E. Calkins, Rolando I Castillo-Passi, Eric Chen, Jimmy Choi, Philippe Conus, Cheryl M Corcoran, Barbara A Cornblatt, Covadonga M Diaz-Caneja, Lauren M. Ellman, Paolo Fusar-Poli, Pablo A Gaspar, Carla Gerber, Louise Birkedal Glenthøj, Cláudia Gonçalves, Leslie E. Horton, C HUI, Joseph Kambeitz, Lana Kambeitz-Ilankovic, René S. Kahn, John M Kane, Matcheri S Keshavan, Minah Kim, Sung-Wan Kim, Nikolaos Koutsouleris, Jun Soo Kwon, Kerstin Langbein, Daniel Mamah, Daniel H Mathalon, Patrick D McGorry, Barnaby Nelson, Merete Nordentoft, Ofer Pasternak, Godfrey D Pearlson, J Perez, Diana O Perkins, Albert R Powers, Jack Rogers, Fred W Sabb, Jason Schiffman, Martha E Shenton, Steven M Silverstein, Stefan Smesny, William S Stone, Gregory P Strauss, Judy L. Thompson, Rachel Upthegrove, Swapna Verma, Yi-Xiang Wang, Daniel H Wolf, A. Yung, Tianhong Zhang, Courtney Crawford, Walid Yassin, Sinéad Kelly, Michael Coleman, Grace Jacobs, Kathryn E Lewandowski, Nora Penzel, Justin Baker, Guillermo Cecci, Kelly Allott, Kate Buccilli, Sophie Tod, Lauren Addamo, Lihua Xu, Accelerating Medicines Partnership®—Schizophrenia (AMP® SCZ), Vijay A Mittal

Bibliographic record

VenueSchizophrenia Bulletin · 2025
Typearticle
Languageen
FieldMedicine
TopicSchizophrenia research and treatment
Canadian institutionsÉcole de Technologie SupérieureUniversity of CalgaryDouglas Mental Health University InstituteDouglas College
FundersWellcome Trust
KeywordsCognitive impairmentCognitionFunctional impairmentBaseline (sea)Young adultSeverity of illness

Abstract

fetched live from OpenAlex

BACKGROUND AND HYPOTHESES: Functional impairment often precedes attenuated psychotic symptoms (APS) in youth at clinical high risk (CHR) for psychosis. This impairment has been linked to baseline symptoms and cognition, but the roles of developmental stage of APS onset and comorbid depression/anxiety are not well understood. Accelerating Medicines Partnership-Schizophrenia's diverse international sample and broad symptom assessment facilitate a detailed analysis of premorbid functioning. STUDY DESIGN: Premorbid adjustment and baseline symptoms and cognition were examined in 1056 individuals at CHR (n = 482 early-symptom, n = 574 late-symptom [first CHR-level APS in childhood/early adolescence vs. late adolescence/adulthood]). In the late-symptom group, growth curve models tested adjustment trends from childhood through late adolescence. Incremental relationships between adjustment, symptoms, and cognition were tested controlling for depression/anxiety. STUDY RESULTS: Premorbid social maladjustment correlated with baseline negative symptoms (r ≥ .25, P < .001). Premorbid academic maladjustment correlated with baseline negative symptoms (r ≥ .17, P ≤ .007) and cognitive impairment (r ≥ .27, P ≤ .001). Effects did not differ between early- and late-symptom subgroups (Δr ≤ .12, z ≤ 2.00, P > .05). Social adjustment deteriorated over time in participants with more baseline negative symptoms (γ = 0.14, P < .001) or cognitive impairment (γ ≥ -0.01, P < .004), even when controlling for depression/anxiety. APS were generally unrelated to premorbid functioning. Effects were consistent in the subsample residing outside North America (n = 579). CONCLUSIONS: Relationships between premorbid adjustment, negative symptoms, and cognition were independent of depression/anxiety and developmental stage of CHR symptom onset. Baseline negative symptoms and cognitive impairment follow insidious and worsening functional problems originating in early clinical stages, prior to onset of APS.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.029
GPT teacher head0.340
Teacher spread0.311 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations2
Published2025
Admission routes1
Has abstractyes

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