Evidence map›Paper›PMID 38986532›Full record

ArticleEarly intervention in psychiatry2024

The influence of complex psychiatric comorbidities on treatment for clinical high-risk for psychosis: A preliminary study.

Aubrey M Moe, Henry R Cowan, Margaret Manges, Heather M Wastler, Sarah Hamilton, Melissa Kilicoglu, Anne C Holmes, Nicholas J K Breitborde

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Early intervention in psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Aubrey M MoeDepartment of Psychiatry and Behavioral Health, The Ohio State University, Columbus, Ohio, USA.ORCID 0000-0001-6814-2628
Henry R CowanDepartment of Psychiatry and Behavioral Health, The Ohio State University, Columbus, Ohio, USA.
Margaret MangesDepartment of Psychiatry and Behavioral Health, The Ohio State University, Columbus, Ohio, USA.
Heather M WastlerDepartment of Psychiatry and Behavioral Health, The Ohio State University, Columbus, Ohio, USA.ORCID 0000-0003-1519-6926
Sarah HamiltonDepartment of Psychiatry and Behavioral Health, The Ohio State University, Columbus, Ohio, USA.
Melissa KilicogluDepartment of Psychiatry and Behavioral Health, The Ohio State University, Columbus, Ohio, USA.
Anne C HolmesDepartment of Psychiatry and Behavioral Health, The Ohio State University, Columbus, Ohio, USA.
Nicholas J K BreitbordeDepartment of Psychiatry and Behavioral Health, The Ohio State University, Columbus, Ohio, USA.ORCID 0000-0002-9877-3719

Funding

Institutional Career Development CoreKL2TR002734 · NCATS · OHIO STATE UNIVERSITY · PI CARNES, CYNTHIA A · 2018 to 2022
$2.7M
Brain-Behavior Mechanisms of Social Cognition in First-Episode PsychosisK23MH131967 · NIMH · OHIO STATE UNIVERSITY · PI Aubrey M. Moe · 2023 to 2026
$725k
College of Medicine Office of Research, Ohio State University, RICDANCATS NIH HHS KL2TR002734NIMH NIH HHS K23 MH131967NIMH NIH HHS K23MH131967SAMHSA HHS SM081154-01SAMHSA HHS SM081154-01M001SAMHSA HHS SM086173-01
6 · The paper itself

Abstract

aimDespite increasingly refined tools for identifying individuals at clinical high-risk for psychosis (CHR-P), less is known about the effectiveness of CHR-P interventions. The significant clinical heterogeneity among CHR-P individuals suggests that interventions may need to be personalized during this emerging illness phase. We examined longitudinal trajectories within-persons during treatment to investigate whether baseline factors predict symptomatic and functional outcomes.

methodA total of 36 CHR-P individuals were rated on attenuated positive symptoms and functioning at baseline and each week during CHR-P step-based treatment.

resultsLinear mixed-effects models revealed that attenuated positive symptoms decreased during the study period, while functioning did not significantly change. When examining baseline predictors, a significant group-by-time interaction emerged whereby CHR-P individuals with more psychiatric comorbidities at baseline (indicating greater clinical complexity) improved in functioning during the study period relative to CHR-P individuals with fewer comorbidities.

conclusionIndividual differences in clinical complexity may predict functional response during the early phases of CHR-P treatment.

Indexed as

ComorbidityPsychotic DisordersAdolescentAdultFemaleHumansLongitudinal StudiesMaleProdromal SymptomsYoung Adultattenuated psychosisclinical high‐risk for psychosispsychiatric comorbiditytreatment outcomes

Identifiers

PMID38986532
PMCPMC11464193

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.