Evidence map›Paper›PMID 36239818›Full record

ArticleEuropean archives of psychiatry and clinical neuroscience2023

The percentage and clinical correlates of alexithymia in stable patients with schizophrenia.

Yun Yi, Yuanyuan Huang, Rui Jiang, Qiang Chen, Mingzhe Yang, Hehua Li, Yangdong Feng, Shixuan Feng, Sumiao Zhou, Lixin Zhang and 3 more

Open access · hybridAbstract read
In one paragraph

Article in European archives of psychiatry and clinical neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
5.1field-weighted citation impact, top 3% 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

18 citing papers in PubMed, 36 citations in OpenAlex.

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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

13 authors at 4 institutions in 2 countries.

Yun Yi *Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, 36 Mingxin Rd, Liwan District, Guangzhou, 510370, China.
Yuanyuan Huang *Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, 36 Mingxin Rd, Liwan District, Guangzhou, 510370, China.
Rui JiangDepartment of Psychiatry, Qingdao Mental Health Center, Qingdao, China.
Qiang ChenDepartment of Psychiatry, The Brain Hospital of Guangxi Zhuang Autonomous Region, Guangxi, China.
Mingzhe YangDepartment of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, 36 Mingxin Rd, Liwan District, Guangzhou, 510370, China.
Hehua LiDepartment of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, 36 Mingxin Rd, Liwan District, Guangzhou, 510370, China.
Yangdong FengDepartment of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, 36 Mingxin Rd, Liwan District, Guangzhou, 510370, China.
Shixuan FengDepartment of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, 36 Mingxin Rd, Liwan District, Guangzhou, 510370, China.
Sumiao ZhouDepartment of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, 36 Mingxin Rd, Liwan District, Guangzhou, 510370, China.
Lixin ZhangDepartment of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, 36 Mingxin Rd, Liwan District, Guangzhou, 510370, China.
Yuping NingDepartment of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, 36 Mingxin Rd, Liwan District, Guangzhou, 510370, China.
Zezhi LiDepartment of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, 36 Mingxin Rd, Liwan District, Guangzhou, 510370, China. biolpsychiatry@126.com.ORCID http://orcid.org/0000-0001-9149-5800
Fengchun WuDepartment of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, 36 Mingxin Rd, Liwan District, Guangzhou, 510370, China. 13580380071@163.com.
Guangzhou Psychiatric Hospital · CNCenter for Translational Molecular Medicine · NLGuangxi Zhuang Autonomous Region Brain Hospital · CNQingdao Mental Health Center · CN

Funding

Science and Technology Program of Guizhou Province 2019B030316001
6 · The paper itself

Abstract

Alexithymia is a common, but less-recognized affective deficit in patients with schizophrenia. To date, no definitive conclusions have been drawn about the relationship between alexithymia and the clinical symptoms or their clinical correlates, particularly in stable patients with schizophrenia. The purpose of this study was to investigate the link between alexithymia and psychopathological symptoms, as well as any associated correlates, in stable patients with schizophrenia. A total of 435 Chinese patients with schizophrenia were recruited. The Positive and Negative Symptoms Scale (PANSS) was used to evaluate each patient's psychopathological symptoms. The Toronto Alexithymia Scale (TAS-20) was used to measure alexithymia. The percentage of alexithymia was 35.2% in stable patients with schizophrenia. Compared to non-alexithymia patients, patients with alexithymia had higher PANSS total scores, negative subscores, depressive subscores, and cognitive subscores (all p < 0.05). Multivariate regression analysis revealed that the following variables were positively associated with TAS-20 total scores: PANSS negative subscores (β = 0.274, t = 3.198, p = 0.001) and PANSS depressive subscores (β = 0.366, t = 2.500, p = 0.013). Education years (β = - 0.453, t = - 2.824, p = 0.005) was negatively associated with TAS-20 total scores. Our results suggest that the percentage of alexithymia was relatively higher in stable patients with schizophrenia. Education levels, negative symptoms, and depressive symptoms were independently associated with alexithymia in this specific population.

Indexed as

Affective SymptomsSchizophreniaEast Asian PeopleHumansPsychopathologyAlexithymiaDepressive symptomsNegative symptomsSchizophrenia

Identifiers

PMID36239818
PMCPMC10085932
OpenAlexW4306165796

What OpenQuestion holds

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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.