Evidence map›Paper›PMID 37010371›Full record

Trial reportSchizophrenia bulletin2023

Brain Structure Measurements Predict Individualized Treatment Outcome of 12-Week Antipsychotic Monotherapies in First-episode Schizophrenia.

Ying Chen, Hengyi Cao, Shanming Liu, Bo Zhang, Gaofeng Zhao, Zhuoqiu Zhang, Shuiying Li, Haiming Li, Xin Yu, Hong Deng

Open access · greenAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Schizophrenia bulletin, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.1field-weighted citation impact, top 13% of its field
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

8 citing papers in PubMed, 12 citations in OpenAlex.

  1. Trial
  2. Article
  3. Observational
  4. Article
  5. Article
  6. Review
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  8. Review
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

10 authors at 4 institutions in 2 countries.

Ying ChenHuaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China.
Hengyi CaoCenter for Psychiatric Neuroscience, Feinstein Institutes for Medical Research, Manhasset, NY, USA.
Shanming LiuMental Health Center, West China Hospital of Sichuan University, Chengdu, China.
Bo ZhangMental Health Center, West China Hospital of Sichuan University, Chengdu, China.
Gaofeng ZhaoShandong Daizhuang Hospital, Shangdong, China.
Zhuoqiu ZhangMental Health Center, West China Hospital of Sichuan University, Chengdu, China.
Shuiying LiMental Health Center, West China Hospital of Sichuan University, Chengdu, China.
Haiming LiMental Health Center, West China Hospital of Sichuan University, Chengdu, China.
Xin YuPeking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China.
Hong DengHope Recovery and Rehabilitation Center, West China Hospital of Sichuan University, Chengdu, China.
West China Hospital of Sichuan University · CNSichuan University · CNPeking University · CNZucker Hillside Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and hypothesisEarly prediction of treatment response to antipsychotics in schizophrenia remains a challenge in clinical practice. This study aimed to investigate if brain morphometries including gray matter volume and cortical thickness could serve as potential predictive biomarkers in first-episode schizophrenia. STUDY

designSixty-eight drug-naïve first-episode patients underwent baseline structural MRI scans and were subsequently randomized to receive a single antipsychotic throughout the first 12 weeks. Assessments for symptoms and social functioning were conducted by eight "core symptoms" selected from the Positive and Negative Syndrome Scale (PANSS-8) and the Personal and Social performance scale (PSP) multiple times during follow-ups. Treatment outcome was evaluated as subject-specific slope coefficients for PANSS-8 and PSP scores using linear mixed model. LASSO regression model were conducted to examine the performance of baseline gray matter volume and cortical thickness in prediction of individualized treatment outcome. STUDY

resultsThe study showed that individual brain morphometries at baseline, especially the orbitofrontal, temporal and parietal cortex, pallidum and amygdala, significantly predicted 12-week treatment outcome of PANSS-8 (r[predicted vs observed] = 0.49, P = .001) and PSP (r[predicted vs observed] = 0.40, P = .003) in first-episode schizophrenia. Moreover, the gray matter volume performed better than cortical thickness in the prediction the symptom changes (P = .034), while cortical thickness outperformed gray matter volume in the prediction of outcome of social functioning (P = .029).

conclusionsThese findings provide initial evidence that brain morphometry have potential to be used as prognostic predictors for antipsychotic response in patients, encouraging the future investigation of the translational value of these measures in precision psychiatry.

Indexed as

Antipsychotic AgentsSchizophreniaBrainGray MatterHumansMagnetic Resonance ImagingTreatment OutcomeAntipsychotic Agentsantipsychotic responsepredictive biomarkerstructural MRI

Identifiers

PMID37010371
PMCPMC10154710
OpenAlexW4362506482

What OpenQuestion holds

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Registered trials

None linked

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.