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Record W4210780556 · doi:10.1089/cap.2021.0093

Association of Lithium and Second-Generation Antipsychotics with Neurocognition in Youth with Bipolar Disorder

2022· article· en· W4210780556 on OpenAlexaff
Xinyue Jiang, Megan Mio, Mikaela K. Dimick, Yi Zou, Alysha A. Sultan, Benjamin I. Goldstein

Bibliographic record

VenueJournal of Child and Adolescent Psychopharmacology · 2022
Typearticle
Languageen
FieldMedicine
TopicBipolar Disorder and Treatment
Canadian institutionsOntario Centre of Excellence for Child and Youth Mental HealthUniversity of TorontoCentre for Addiction and Mental Health
Fundersnot available
KeywordsNeurocognitiveBipolar disorderPsychologyCognitive flexibilityLithium (medication)PsychiatryNeuropsychologyClinical psychologyCognition

Abstract

fetched live from OpenAlex

Objective: Numerous studies have examined the association of antimanic medications with neurocognition in adults with bipolar disorder (BD). However, few studies have examined this topic in youth. Thus, we aimed to examine the association of lithium and second-generation antipsychotics (SGAs), the first-line antimanic medications for youth with BD, with neurocognition in a relatively large sample of youth with BD. Methods: Participants included 91 youth with BD-I, -II, or -Not Otherwise Specified, aged 13–20 years ( n = 14 current lithium use, n = 51 current SGA use). We examined four tests from the Cambridge Neuropsychological Test Automated Battery: Intra/Extra Dimensional Set-Shifting Task (IED), Rapid Visual Information Processing Task (RVP), Stockings of Cambridge Test (SOC), and Affective Go/No-Go (AGN). Within-sample Z-scores were computed, and a global neurocognitive composite score and g factor derived from these tests comprised the primary outcomes. Multivariable analyses controlled for age, sex, and IQ. Results: Current lithium use was significantly associated with poorer cognitive flexibility/set-shifting (IED). After further controlling for lifetime comorbid attention-deficit/hyperactivity disorder and current depression symptoms in sensitivity analyses, the lithium finding was no longer significant. Current SGA use was significantly associated with greater affective processing bias (AGN). No significant findings survived correction for multiple comparisons. All other cognitive outcomes were not significantly associated with current lithium use, current SGA use, or total number of current medications. Conclusions: Treatment with lithium or SGAs was associated with minimal neurocognitive impairments, with small effect sizes in primary multivariable analyses. This study adds to the limited body of literature examining medication use in relation to neurocognition in youth with BD. While the current study cannot rule out associations of smaller effect size, present findings suggest that leading mood-stabilizing medications are not associated with frank neurocognitive impairments in youth with BD.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.018
Threshold uncertainty score0.306

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.009
GPT teacher head0.252
Teacher spread0.243 · 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 teacher head, 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".

Quick stats

Citations5
Published2022
Admission routes1
Has abstractyes

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