Evidence map›Paper›PMID 40379328›Full record

Observational studyBMJ open2025

Ningbo Schizophrenia Cohort (NSC)-a longitudinal ambispective cohort based on electronic health records: cohort profile.

He Ye, Yang Zhao, Lian Li, Yi Qian, Hangjie Zhu, Guolin Bian, Liya Liu

Registry-linked trialAbstract readObservational Study
In one paragraph

Observational study in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06370793 (Ningbo Schizophrenia Cohort, a Longitudinal Population-based Ambispective Cohort Study), which is not on this map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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.

NCT06370793 active not recruitingnot on this map

Ningbo Schizophrenia Cohort, a Longitudinal Population-based Ambispective Cohort Study

Typeobservational_patient_registrySponsorNingbo UniversityRan2018 to 2026Enrolled26,899ConditionsSchizophreniaArmsPatient with schizophrenia without intervention
3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

He YeSchool of Public Health, Ningbo University Health Science Center, Ningbo, Zhejiang, China.
Yang ZhaoDepartment of Biostatistics, Nanjing Medical University, Nanjing, Jiangsu, China.
Lian LiDepartment of Psychiatry, Ningbo Kangning Hospital, Ningbo, Zhejiang, China.
Yi QianSchool of Public Health, Ningbo University Health Science Center, Ningbo, Zhejiang, China.
Hangjie ZhuSchool of Public Health, Ningbo University Health Science Center, Ningbo, Zhejiang, China.
Guolin BianDepartment of Psychiatry, Ningbo Kangning Hospital, Ningbo, Zhejiang, China liuliya@nbu.edu.cn bianguolin2025@163.com.
Liya LiuSchool of Public Health, Ningbo University Health Science Center, Ningbo, Zhejiang, China liuliya@nbu.edu.cn bianguolin2025@163.com.ORCID http://orcid.org/0000-0001-9105-9603

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeElectronic health records (EHR) passively generate large datasets on real-world patient populations in easily retrievable form, allowing the cost-efficient and timely execution of epidemiological cohorts on a broad array of topics. However, EHR-based cohorts specialising in mental disorders have not yet been reported. Ningbo has made significant achievements in healthcare data management in China. This study, relying on the Ningbo Mental Health Information System and the Ningbo Regional Health Information Platform, has established the Ningbo Schizophrenia Cohort (NSC), providing an exemplary study for cohort studies on schizophrenia.

participantsThis population-based ambispective cohort study included patients with schizophrenia aged 18-65 years at the time of diagnosis who were eligible for healthcare services in Ningbo, China. Participants were identified using the Ningbo Mental Health Information System between 1 January 2010, and 31 December 2023. Once an individual enters the NSC, they are followed up continuously until death or relocation. A total of 26 899 patients with schizophrenia are included in the NSC. FINDINGS TO DATE: Among 26 899 patients, 55.4% were female and 53.1% had less than 7 years of education. Until 31 December 2023, 4505 deaths occurred, and 97.83% of patients had at least one electronic medical record. The median age at diagnosis for non-survivors (median (IQR): 40 (29-51) years) was higher than that of survivors (median (IQR): 34 (26-45) years). FUTURE PLANS: The NSC will continue to collect longitudinal data to capture the full life cycle of schizophrenia, including pre-onset, diagnosis, follow-up, recovery or death. This will result in a continuous, complete and multidimensional EHR for patients with schizophrenia. Planned future research aims to generate new real-world evidence on the aetiology of schizophrenia, investigate comorbidities to facilitate co-management and develop predictive models for schizophrenia and related cardiovascular diseases. TRIAL REGISTRATION NUMBER: NCT06370793.

Indexed as

Electronic Health RecordsSchizophreniaAdolescentAdultAgedChinaCohort StudiesFemaleHumansLongitudinal StudiesMaleMiddle AgedYoung AdultMENTAL HEALTHPUBLIC HEALTHSchizophrenia & psychotic disorders

Identifiers

PMID40379328
PMCPMC12083311

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Registered trials

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.