Evidence map›Paper›PMID 31864335›Full record

ArticleBMC psychiatry2019

High level of pattern glare in major depressive disorder.

Xiongwei Qi, Huanhuan Fan, Xiao Yang, Yayun Chen, Wei Deng, Wanjun Guo, Qiang Wang, Eric Chen, Tao Li, Xiaohong Ma

Open access · goldAbstract read
In one paragraph

Article in BMC psychiatry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

9 citing papers in PubMed, 22 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

10 authors at 2 institutions in 2 countries.

Xiongwei QiPsychiatric Laboratory and Mental Health Center, West China Hospital of Sichuan University, Chengdu, Sichuan, 610064, People's Republic of China.
Huanhuan FanPsychiatric Laboratory and Mental Health Center, West China Hospital of Sichuan University, Chengdu, Sichuan, 610064, People's Republic of China.
Xiao YangPsychiatric Laboratory and Mental Health Center, West China Hospital of Sichuan University, Chengdu, Sichuan, 610064, People's Republic of China.
Yayun ChenPsychiatric Laboratory and Mental Health Center, West China Hospital of Sichuan University, Chengdu, Sichuan, 610064, People's Republic of China.
Wei DengPsychiatric Laboratory and Mental Health Center, West China Hospital of Sichuan University, Chengdu, Sichuan, 610064, People's Republic of China.
Wanjun GuoPsychiatric Laboratory and Mental Health Center, West China Hospital of Sichuan University, Chengdu, Sichuan, 610064, People's Republic of China.
Qiang WangPsychiatric Laboratory and Mental Health Center, West China Hospital of Sichuan University, Chengdu, Sichuan, 610064, People's Republic of China.
Eric ChenDepartment of Psychiatry, The University of Hong Kong, Queen Mary Hospital, Pokfulam, Hong Kong.
Tao LiPsychiatric Laboratory and Mental Health Center, West China Hospital of Sichuan University, Chengdu, Sichuan, 610064, People's Republic of China.
Xiaohong MaPsychiatric Laboratory and Mental Health Center, West China Hospital of Sichuan University, Chengdu, Sichuan, 610064, People's Republic of China. maxiaohong@scu.edu.cn.ORCID 0000-0003-2627-9946
Sichuan University · CNQueen Mary Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVisual deficits have been reported in abundance by recent studies on major depressive disorder. Pattern glare manifests as visual distortions, such as the symptoms of headache, glare, eyestrain, illusions of shapes, colors, and motion when viewing repetitive striped patterns, of which some can be observed in major depressive disorder. Inspired by what mentioned, the present study aims to explore whether there exists association between pattern glare and major depressive disorder and further attempts to explore possible clinical diagnostic value of pattern glare in major depressive disorder.

methodsTwenty-four patients diagnosed with major depressive disorder (MDDs group) were compared with 30 age-, gender- and education level-matched healthy control subjects (HCs group) on their visual stress with black-and-white gratings of different spatial frequencies-0.3 (low-SF), 2.3 (mid-SF), and 9.4 (high-SF) cycles per degree (c/deg)-which was named pattern glare test. The MDDs group divided into first episode medication-free group (fMDD) and recurrent medicated group (rMDD), comparisons of pattern glare scores (PGS) were performed within the MDDs group. We used Pearson and Spearman analysis to explore the relationship between some clinical indexes and pattern glare scores. ROC (receiver operating characteristic) curve was used to evaluate whether pattern glare test was able to discriminate patients and healthy controls.

resultsThe mid-SF pattern glare score significantly elevated in patients with major depressive disorder compared to control subjects. No differences of pattern glare scores were found between fMDD and rMDD. A significant negative correlation between mid-high difference and age in HCs group was found. There were no correlations between other variables and pattern glare scores. The mid-SF score has limited value in the diagnosis of major depressive disorder.

conclusionsWe observed an increased level of pattern glare in patients with major depressive disorder, reflecting the existence of cortical hyper-excitability in major depressive disorder. The mid-SF score may have a value in understanding cortical excitability in major depressive disorder.

Indexed as

AdultFemaleGlareHumansIllusionsMajor Depressive DisorderMaleMiddle AgedPattern Recognition, VisualPhotic StimulationYoung AdultCortical hyper-excitabilityMajor depressive disorderPattern glareVisual deficits

Identifiers

PMID31864335
PMCPMC6925875
OpenAlexW2996437795

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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.