Evidence map›Paper›PMID 42206392›Full record

ArticlePsychological medicine2026

Predicting functional remission after antipsychotic discontinuation: a real-world study in schizophrenia.

Chang Lu, Yuke Dong, Zhaolin Zhai, Tianhao Gao, Mengyi Luo, Di Chang, Jing Chen, Jingxin Xue, Yuqing Zhao, Qiong Xiang and 5 more

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In one paragraph

Article in Psychological medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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

5 · Who and what money

Authors and funding

15 authors.

Chang LuClinical Center for Psychotic Disorders, National Center for Mental Disorders, Shanghai, China.ORCID 0009-0000-5928-806X
Yuke DongClinical Center for Psychotic Disorders, National Center for Mental Disorders, Shanghai, China.
Zhaolin ZhaiClinical Center for Psychotic Disorders, National Center for Mental Disorders, Shanghai, China.
Tianhao GaoClinical Center for Psychotic Disorders, National Center for Mental Disorders, Shanghai, China.
Mengyi LuoClinical Center for Psychotic Disorders, National Center for Mental Disorders, Shanghai, China.
Di ChangClinical Center for Psychotic Disorders, National Center for Mental Disorders, Shanghai, China.
Jing ChenClinical Center for Psychotic Disorders, National Center for Mental Disorders, Shanghai, China.
Jingxin XueClinical Center for Psychotic Disorders, National Center for Mental Disorders, Shanghai, China.
Yuqing ZhaoClinical Center for Psychotic Disorders, National Center for Mental Disorders, Shanghai, China.
Qiong XiangClinical Center for Psychotic Disorders, National Center for Mental Disorders, Shanghai, China.
Xuan LiClinical Center for Psychotic Disorders, National Center for Mental Disorders, Shanghai, China.
Xiangyi MaClinical Center for Psychotic Disorders, National Center for Mental Disorders, Shanghai, China.
Zheyi WeiClinical Center for Psychotic Disorders, National Center for Mental Disorders, Shanghai, China.
Tienan FengDepartment of Psychiatry, Huashan Hospital, Fudan University, Shanghai, China.
Dengtang LiuClinical Center for Psychotic Disorders, National Center for Mental Disorders, Shanghai, China.ORCID 0000-0002-0813-6848

Funding

National Natural Science Foundation of China 82371504Science and Technology Commission of Shanghai Municipality 23ZR1454700
6 · The paper itself

Abstract

backgroundThis real-world study aimed to characterize patients with schizophrenia who achieve sustained good functional outcomes after antipsychotic discontinuation and to develop the Functional Remission in Schizophrenia after Antipsychotic Discontinuation (FURSAD) predictive model.

methodsWe retrospectively identified individuals aged 18-65 years with schizophrenia (ICD-10) from the Shanghai Mental Health Center discharge database. Patients who discontinued antipsychotics for ≥1 year were classified as functional remission (FR) or functional non-remission (FNR) based on functioning assessments. Sociodemographic, clinical, and treatment-related data were extracted blindly from hospital records and structured interviews.

resultsAmong 4,166 discharged patients screened, 180 met the inclusion criteria (FR: 116; FNR: 64). Six independent predictors were identified: total disease course, Clinical Global Impression-Severity (CGI-S) score, Positive and Negative Syndrome Scale (PANSS) emotional distress subscale score, use of first-generation antipsychotics, discontinuation due to treatment benefits, and discontinuation due to lack of insight. The logistic regression model showed strong predictive performance (AUC = 0.867, 95% CI 0.813-0.921), with 82.8% sensitivity and 81.9% specificity. Internal validation was performed via 10-fold cross-validation.

conclusionDiscontinuation motives and illness trajectory are relevant in predicting long-term functional outcomes. A limitation is that a substantial number of patients could not be recontacted or declined participation, which may introduce selection bias. The FURSAD nomogram may help clinicians estimate the probability of FR 4.5 years post-antipsychotic discontinuation in patients previously on antipsychotics for ≥3 years.

Indexed as

Antipsychotic AgentsSchizophreniaAdolescentAdultAgedChinaFemaleHumansMaleMiddle AgedRemission InductionRetrospective StudiesTreatment InterruptionYoung AdultAntipsychotic Agentsantipsychotic discontinuationfunctional remissionprediction modelreal-world studyschizophrenia

Identifiers

PMID42206392
PMCPMC13234523

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