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Record W4205462240 · doi:10.1097/jcp.0000000000001506

Comparative Efficacy and Tolerability of Antipsychotics for Juvenile Psychotic Disorders

2022· review· en· W4205462240 on OpenAlexaff
Caitlin Yee, Anees Bahji, María Lolich, Gustavo Vázquez, Ross J. Baldessarini

Bibliographic record

VenueJournal of Clinical Psychopharmacology · 2022
Typereview
Languageen
FieldMedicine
TopicSchizophrenia research and treatment
Canadian institutionsUniversity of CalgaryQueen's UniversityUniversity of Toronto
Fundersnot available
KeywordsMedicineMeta-analysisPsychiatryMEDLINEPsycINFOTolerabilityAdverse effectAntipsychoticPediatricsPsychosisInternal medicineSchizophrenia (object-oriented programming)

Abstract

fetched live from OpenAlex

BACKGROUND: Psychotic disorders produce important morbidity and disability in children and adolescents. There have been few relevant treatment trials, encouraging assessment of research aimed at testing efficacy and safety of antipsychotics for juveniles. We aimed to compare the short- and long-term efficacy and safety of antipsychotics to treat psychotic disorders among children and adolescents. METHODS: Four major bibliographic databases (PubMed, MEDLINE, PsycINFO, and EMBASE) were searched for clinical trials of antipsychotics in children or adolescents, from database inception to May 2021. We searched for clinical trials comparing antipsychotics with control conditions for juvenile psychosis based on blinded review by 2 independent investigators (C.S.Y. and M.L.). We adhered to the Preferred Reporting Items for Systematic Reviews and Meta-analyses and applied the Cochrane risk-of-bias tool to appraise study quality. One reviewer (A.B.) performed data abstraction which was confirmed by 2 independent, blinded reviewers (C.S.Y. and M.L.). Primary outcomes were scores rating psychosis symptoms and dichotomized retention in treatment protocols versus dropouts because of adverse events. Effect sizes were pooled using frequentist random-effects network meta-analysis modeling to generate summary rate ratios (RRs) and Cohen d standardized mean differences. RESULTS: Systematic searching generated 1330 unique records. Of these, short-term (n = 15, for 6 [3-12] weeks) and long-term (n = 10, for 12 [6-60] months) treatment trials involved 2208 (39.2% females; median age, 15.3 years), and 1366 subjects (35.0% females; median age, 15.6 years), respectively. Short-term reduction of psychosis scores ranked clozapine (d = -1.35; 95% confidence interval [CI], -1.97 to -0.73]), molindone (-1.22; 95% CI, -1.68 to -0.75), olanzapine (-1.12; 95% CI, -1.44 to -0.81), and risperidone (-0.93; 95% CI, -1.22 to -0.63) as the most effective agents. In longer-term treatment, only lurasidone was effective. Clozapine (RR, 12.8) and haloperidol (RR, 5.15) led to more all-cause and adverse event-related dropouts. There were few trials/drug (1 each for aripiprazole, asenapine, lurasidone, molindone, paliperidone, and ziprasidone, short term; aripiprazole, clozapine, haloperidol, lurasidone, and molindone, long-term). Heterogeneity and inconsistency were high, especially in long-term trials, without evidence of publication bias. CONCLUSIONS: Some antipsychotics were effective and tolerated short term, but longer-term evidence was very limited. The overall paucity of trials and of adequate controls indicates that more well-designed randomized controlled trials are required for adequate assessment of antipsychotic drug treatment for juveniles. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42021232937.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.936
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0060.002
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.281
GPT teacher head0.585
Teacher spread0.304 · 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.

Study designNot applicable
Domainnot available
GenreReview

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

Citations13
Published2022
Admission routes1
Has abstractyes

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