Evidence map›Paper›PMID 36051552›Full record

ArticleFrontiers in psychiatry2022

Neuropsychiatric symptoms and altered sleep quality in cerebral small vessel disease.

Xi Li, Rong-Rong Qin, Jian Chen, Hai-Fei Jiang, Pan Tang, Yu-Jing Wang, Dong-Wu Xu, Tao Xu, Ti-Fei Yuan

Abstract read
In one paragraph

Article in Frontiers in psychiatry, 2022. 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
–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

6 citing papers in PubMed.

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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.

Xi LiDepartment of Neurology, Affiliated Tongzhou Hospital of Nantong University, Nantong, China.
Rong-Rong QinDepartment of Neurology, Affiliated Tongzhou Hospital of Nantong University, Nantong, China.
Jian ChenDepartment of Neurology, Affiliated Tongzhou Hospital of Nantong University, Nantong, China.
Hai-Fei JiangDepartment of Neurology, Affiliated Tongzhou Hospital of Nantong University, Nantong, China.
Pan TangSchool of Mental Health, Wenzhou Medical University, Wenzhou, China.
Yu-Jing WangSchool of Mental Health, Wenzhou Medical University, Wenzhou, China.
Dong-Wu XuSchool of Mental Health, Wenzhou Medical University, Wenzhou, China.
Tao XuDepartment of Neurology, Affiliated Tongzhou Hospital of Nantong University, Nantong, China.
Ti-Fei YuanShanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Sleep disturbance and neuropsychiatric symptoms are common clinical symptoms of cerebral small vessel disease (CSVD), but the underlying mechanism is unclear. Here, we investigated the relationship between sleep quality and neuropsychiatric performance in patients with CSVD. Methods: A total of 30 patients with CSVD and 35 healthy controls (HCs) were recruited. The 13-item Beck Depression Inventory (BDI-13), Beck Anxiety Inventory (BAI), and Symptom Check List 90 (SCL90) were used to assess depression, anxiety, and other psychological symptoms, respectively. Sleep quality was assessed using Pittsburgh Sleep Quality Index (PSQI), and cognitive function was tested using Montreal Cognitive Assessment (MoCA). Results: When compared to the HC group, the patients with CSVD showed increased anxiety and neuropsychiatric symptoms, worse sleep quality, and impaired cognition ( Conclusion: This study suggests that the prevalence of CSVD with poor sleep quality is high, and that sex and anxiety are independent risk factors for CSVD comorbid sleep quality.

Indexed as

agingcerebral small vessel diseasedepressionneuropsychiatric symptomssleep disturbances

Identifiers

PMID36051552
PMCPMC9424898

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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.