Evidence map›Paper›PMID 32646484›Full record

ArticleBMC medical informatics and decision making2020

The psychosis analysis in real-world on a cohort of large-scale patients with schizophrenia.

Wenyan Tan, Haicheng Lin, Baoxin Lei, Aihua Ou, Zehui He, Ning Yang, Fujun Jia, Heng Weng, Tianyong Hao

Open access · goldAbstract read
In one paragraph

Article in BMC medical informatics and decision making, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

6 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. [Association Between Medication Compliance and Various Risky Behaviors in Patients With Schizophrenia].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2023
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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

9 authors at 5 institutions in 1 country.

Wenyan TanGuangdong Mental Health Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Science, Guangzhou, China.
Haicheng LinGuangdong Mental Health Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Science, Guangzhou, China.
Baoxin LeiSchool of Computer Science, South China Normal University, Guangzhou, China.
Aihua OuDepartment of Big Data Research of Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Zehui HeDepartment of Big Data Research of Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Ning YangThe Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, China.
Fujun JiaGuangdong Mental Health Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Science, Guangzhou, China. jiafujun@126.com.
Heng WengDepartment of Big Data Research of Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China. ww128@qq.com.
Tianyong HaoSchool of Computer Science, South China Normal University, Guangzhou, China. haoty@m.scnu.edu.cn.
Guangzhou University of Chinese Medicine · CNGuangdong Provincial People's Hospital · CNSouth China Normal University · CNGuangdong Academy of Medical Sciences · CNGuangzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWith China experiencing unprecedented economic development and social change over the past three decades, Chinese policy makers and health care professionals have come to view mental health as an important outcome to monitor. Our study conducted an epidemiological study of psychosis in Guangdong province, with 20 million real-world follow-up records in the last decade.

methodsData was collected from Guangdong mental health information platform from 2010 to 2019, which had standardized disease registration and follow-up management for nearly 600,000 patients with six categories of mental diseases and 400,000 patients with schizophrenia. We conducted clinical staging for the disease course of the patients and divided the data with various factors into different stages of disease. Quantitative analysis was utilized to investigate the high relevant indicators to the disease. The results were projected on geography map for regional distribution analysis.

resultsThe majority cases of mental disease incidence were between the age of 15 and 29, while the peak age for both male and female was between 20 to 24 years old. The disease course with the largest number of patients' cases was between 5 to 10 years. The therapeutic effect of patients gradually decreased with the development of disease course, while the risk increased with the disease course. The analysis of influencing factors showed that poor economic conditions incurred higher risk scores, and good medication adherence was effective in improving treatment outcomes. In addition, receiving good education contributed to the reduction of the risk of schizophrenia and the improvement of the efficiency of early treatment. Through the analysis of regional distribution of schizophrenia disease, developed economic conditions and favorable resource conditions could promote the reduction of disease risk, while in economically backward regions, it often accompanied with lower therapeutic effect and higher disease risk.

conclusionsCertain demographic factors had a relatively prominent impact on the therapeutic effect and risk of schizophrenia, such as high-quality medication adherence. Therapeutic effect and risk were highly correlated. Backward economic conditions often associated with poor efficacy and higher risk assessment, and the developed economy and better medical resource are beneficial for the treatment of psychotic.

Indexed as

Psychotic DisordersSchizophreniaAdolescentAdultChinaFemaleHumansMaleMedication AdherenceMental HealthYoung AdultEpidemiology researchQuantitative analysisSchizophrenia

Identifiers

PMID32646484
PMCPMC7477870
OpenAlexW3041040744

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Registered trials

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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.