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Chen L, He XH, Li XL, Yang J, Huang H. Bibliometric analysis of research in epilepsy and comorbid depression from 2014 to 2023. World J Psychiatry 2024; 14:985-998. [DOI: 10.5498/wjp.v14.i6.985] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/29/2024] [Revised: 04/23/2024] [Accepted: 04/28/2024] [Indexed: 06/19/2024] Open
Abstract
BACKGROUND Epilepsy and depression have complicated bidirectional relationships. Our study aimed to explore the field of epilepsy comorbid with depression in a bibliometric perspective from 2014-2023.
AIM To improve our understanding of epilepsy and depression by evaluating the relationship between epilepsy and depression, bibliometric analyses were performed.
METHODS Epilepsy and depression-related publications from the last decade were retrieved from the Web of Science Core Collection. We conducted bibliometric and visual analysis using VOSviewer and CiteSpace, examining authorships, countries, institutions, journals of publication, co-citations of references, connections between keywords, clusters of keywords, and keywords with citation bursts.
RESULTS Over the past ten years, we collected 1045 research papers focusing on the field of epilepsy and comorbid depression. Publications on epilepsy and depression have shown a general upward trend over time, though with some fluctuations. The United States, with 287 articles, and the University of Melbourne, contributing 34 articles, were the top countries and institutions, respectively. In addition, in the field of epilepsy and depression, Professor Lee, who has published 30 articles, was the most contributing author. The hot topics pay attention to the quality of life in patients with epilepsy and depression.
CONCLUSION We reported that quality of life and stigma in patients with epilepsy comorbid with depression are possible future hot topics and directions in the field of epilepsy and depression research.
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Affiliation(s)
- Ling Chen
- Department of Neurology, The Affiliated Hospital of Zunyi Medical University, Zunyi 563003, Guizhou Province, China
| | - Xiao-Hui He
- Department of Neurology, Xinqiao Hospital and the Second Affiliated Hospital, Army Medical University (Third Military Medical University), Chongqing 400010, China
| | - Xia-Ling Li
- Department of Neurology, Xinqiao Hospital and the Second Affiliated Hospital, Army Medical University (Third Military Medical University), Chongqing 400010, China
| | - Juan Yang
- Department of Neurology, The Affiliated Hospital of Zunyi Medical University, Zunyi 563003, Guizhou Province, China
| | - Hao Huang
- Department of Neurology, The Affiliated Hospital of Zunyi Medical University, Zunyi 563003, Guizhou Province, China
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Tadesse G, Tinsae T, Nakie G, Rtbey G, Andualem F, Tadesse A, Melkam M, Takelle GM, Fentahun S. Prevalence and factors associated with depressive symptoms among patients with epilepsy in Ethiopia: a national-based systematic review and meta-analysis. Front Neurol 2024; 15:1352648. [PMID: 38500809 PMCID: PMC10946423 DOI: 10.3389/fneur.2024.1352648] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Accepted: 02/15/2024] [Indexed: 03/20/2024] Open
Abstract
Background Depression is a major public health problem and negatively affects the quality of life of patients with epilepsy. Despite multiple studies investigating the magnitude and predictors, the results have been inconsistent. Therefore, this study aimed to estimate the pooled prevalence and factors associated with depressive symptoms among patients with epilepsy in Ethiopia. Methods The primary articles were searched using databases like PubMed, Google Scholar, CINAHL, SCOPUS, EMBASE, and African Journal Online. A total of 10 primary articles that assessed the prevalence and factors associated with depressive symptoms among patients with epilepsy in Ethiopia were included. A Microsoft Excel spreadsheet was used to extract the data, which was then exported to Stata version 14 for further analysis. The statistical heterogeneity was evaluated using the I2 test. Due to heterogeneity, a random effect meta-analysis model was employed. Publication bias was checked through Egger's weighted regression test and funnel plot. Results A total of 10 primary studies with 3,532 participants were included. The pooled prevalence of depressive symptoms among patients with epilepsy was found to be 41.69% (95% CI, 37.70, 45.68). The pooled prevalence of depressive symptoms was 48.61, 42.98, 40.68, 38.27, and 34.80% in Oromia, SNNPs, Amhara, Addis Ababa, and Tigray, respectively, based on a sub-group analysis per regional state. Perceived stigma (AOR = 3.30, 95% CI: 1.40, 7.80), seizure frequency (AOR = 3.81, 95% CI: 1.03, 14.09), and perceived stress (AOR = 4.6, 95% CI: 1.05, 20.06) were factors associated with depressive symptoms. Conclusion We found that depressive symptoms affects at least four out of ten patients with epilepsy, indicating an immense burden. Depressive symptoms were extremely prevalent in those who had high levels of stigma, a monthly seizure frequency of once or more, and perceived stress. Therefore, physicians should take extra precautions when treating patients with epilepsy who have certain conditions. Systematic review registration This study was registered according to The International Prospective Register of Systemic Review (PROSPERO) with the registration ID (CRD42023484308).
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Affiliation(s)
- Gebresilassie Tadesse
- Department of Psychiatry, School of Medicine, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Techilo Tinsae
- Department of Psychiatry, School of Medicine, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Girum Nakie
- Department of Psychiatry, School of Medicine, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Gidey Rtbey
- Department of Psychiatry, School of Medicine, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Fantahun Andualem
- Department of Psychiatry, School of Medicine, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Asnake Tadesse
- Department of Psychiatry, School of Medicine, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
- School of Nursing, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Mamaru Melkam
- Department of Psychiatry, School of Medicine, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Girmaw Medfu Takelle
- Department of Psychiatry, School of Medicine, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Setegn Fentahun
- Department of Psychiatry, School of Medicine, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
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Wang Y, Shen C, Zhang J, Yang Q, Li J, Tan J, Yu H, Mei Z. A protocol for a pooled analysis of cohort studies: The association between depression and anxiety in epileptic disorders. PLoS One 2023; 18:e0295328. [PMID: 38060471 PMCID: PMC10703227 DOI: 10.1371/journal.pone.0295328] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2023] [Accepted: 11/20/2023] [Indexed: 12/18/2023] Open
Abstract
BACKGROUND/INTRODUCTION Depressive and anxiety disorders constitute major mental health challenges affecting adults of all ages globally. It has been reported that individuals with depressive or anxiety disorders face an elevated risk of developing neurological conditions, including seizures and epilepsy. Additionally, people with these disorders tend to exhibit distinct clinical outcomes compared to the general population. However, the associations between depressive or anxiety disorders and epilepsy remain contentious. Thus, this study aims to elucidate the associations between these neuropsychiatric disorders, including depressive and anxiety disorders, and epilepsy or seizures. METHODS We will systematically search three electronic databases-PubMed, EMBASE, and the Cochrane Library-from inception through March 2023 to identify relevant cohort studies investigating the associations between depressive or anxiety disorders and epilepsy or seizures. Two independent reviewers will extract data from eligible studies using pre-designed standardized data extraction forms, and cross-check results. A third author will resolve any discrepancies. Quality assessment will be performed using the Newcastle-Ottawa Quality Assessment Scale (NOS). Pooled risk estimates (Relative risks or hazard ratios with their 95% CI) will be calculated using the DerSimonian-Laird random-effects model. If between-study heterogeneity is identified, we will conduct subgroup analyses or meta-regressions to explore the possible sources of heterogeneity (participants, exposure, outcome, and study design) stratified by various study characteristics. Potential publication bias will be detected through the inspection of funnel plot asymmetry, complemented by the Egger linear regression approach (Egger's test) and the Begg rank correlation test (Begg's test). DISCUSSION This pooled analysis will evaluate the association between depressive or anxiety disorders and epilepsy or seizures, providing high-level evidence to inform early identification and prevention strategies for epilepsy or seizures. ETHICS AND DISSEMINATION Given that the data utilized for analysis in this pooled analysis does not involve human subjects or medical records, no ethical approval is required for this study. We intend to present the results of this study at national or international conferences or submit the findings to a peer-reviewed journal. OSF REGISTRATION NUMBER DOI 10.17605/OSF.IO/WM2X8.
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Affiliation(s)
- Yan Wang
- Department of Neurology, The Third Affiliated Hospital of Xinxiang Medical University, Xinxiang, China
| | - Changbo Shen
- Department of Neurology, The Third Affiliated Hospital of Xinxiang Medical University, Xinxiang, China
| | - Junyan Zhang
- Department of Neurology, The Third Affiliated Hospital of Xinxiang Medical University, Xinxiang, China
| | - Qingcheng Yang
- Department of Neurology, The People’s Hospital of Anyang City, Anyang, China
| | - Jianshe Li
- Department of Neurology, Xinxiang Central Hospital, Henan Province, China
| | - Jun Tan
- Department of Neurology, The Third Affiliated Hospital of Xinxiang Medical University, Xinxiang, China
| | - Hang Yu
- Emergency Department, Changhai Hospital, Naval Military Medical University, Shanghai, China
| | - Zubing Mei
- Department of Anorectal Surgery, Shuguang Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Anorectal Disease Institute of Shuguang Hospital, Shanghai, China
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Guo W, Li YX, Zhang Y, Lv XR, Wang SX, Zhang SY, Wang ES, Chen XJ, Li Y. Risk analysis of depression among adult patients with epilepsy of different sex: a retrospective single-center study from China. Front Psychiatry 2023; 14:1283983. [PMID: 38111615 PMCID: PMC10725914 DOI: 10.3389/fpsyt.2023.1283983] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/27/2023] [Accepted: 11/20/2023] [Indexed: 12/20/2023] Open
Abstract
Objective To determine sex differences in the prevalence of depression and assess the risk factors for depression among adult patients with epilepsy from the Dali area of China. Methods We retrospectively analyzed the clinical data of adult patients with epilepsy who visited the First Affiliated Hospital of Dali University from January 2017 to January 2022. Patient Health Questionnaire-9 was used to assess depressive symptoms in patients with epilepsy. The risk factors of depression were analyzed by binary logistic regression among different sex in patients with epilepsy. Results There were significant sex differences in depression in patients with epilepsy (p < 0.001), and females were 4.27 times more likely to suffer from depression than males (95% confidence interval: 3.70-4.92). The risk factors for depression among female patients with epilepsy included occupation (p < 0.001), years with epilepsy (p < 0.001), seizure frequency (p < 0.001), seizure type (p < 0.001), etiology (p < 0.001), number of antiseizure medications used (p < 0.001), antiseizure medications (p < 0.001), and electroencephalogram findings (p < 0.001). The risk factors for depression among male patients with epilepsy included age (p < 0.001), ethnicity (p < 0.001), occupation (p < 0.001), years with epilepsy (p < 0.001), seizure frequency (p < 0.001), seizure type (p < 0.001), etiology (p < 0.001), number of antiseizure medications used (p < 0.001), antiseizure medications (p < 0.001), and electroencephalogram findings (p < 0.001). Conclusion Adult female patients with epilepsy had a higher risk of depression than adult male patients with epilepsy. There were sex differences in the risk factors associated with depression among patients with epilepsy.
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Affiliation(s)
- Wang Guo
- Clinical Medical School, Dali University, Dali, China
| | - Yu-xuan Li
- Clinical Medical School, Dali University, Dali, China
| | - Yi Zhang
- Clinical Medical School, Dali University, Dali, China
| | - Xue-rui Lv
- Clinical Medical School, Dali University, Dali, China
| | | | - Shuang-yuan Zhang
- Department of Neurology, The First Affiliated Hospital of Dali University, Dali, China
| | - En-si Wang
- Department of Neurology, The First Affiliated Hospital of Dali University, Dali, China
| | - Xin-jie Chen
- Department of Neurology, The First Affiliated Hospital of Dali University, Dali, China
| | - Yun Li
- Department of Neurology, The First Affiliated Hospital of Dali University, Dali, China
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Eyjólfsdóttir SG, Trinka E, Höller Y. Shorter duration of slow wave sleep is related to symptoms of depression in patients with epilepsy. Epilepsy Behav 2023; 149:109515. [PMID: 37944285 DOI: 10.1016/j.yebeh.2023.109515] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Revised: 10/24/2023] [Accepted: 11/02/2023] [Indexed: 11/12/2023]
Abstract
Slow wave sleep duration and spectral abnormalities are related to both epilepsy and depression, but it is unclear how depressive symptoms in patients with epilepsy are affected by slow wave sleep duration and clinical factors, and how the spectral characteristics of slow wave sleep reflect a potential interaction of epilepsy and depression. Long-term video-EEG monitoring was conducted in 51 patients with focal epilepsy, 13 patients with generalized epilepsy, and 9 patients without epilepsy. Slow wave sleep segments were manually marked in the EEG and duration as well as EEG power spectra were extracted. Depressive symptoms were documented with the Beck Depression Inventory (BDI). At least mild depressive symptoms (BDI > 9) were found among 23 patients with focal epilepsy, 5 patients with generalised epilepsy, and 6 patients who had no epilepsy diagnosis. Slow wave sleep duration was shorter for patients with at least mild depressive symptoms (p =.004), independently from epilepsy diagnosis, antiseizure medication, age, and sex. Psychoactive medication was associated with longer slow wave sleep duration (p =.008). Frontal sigma band power (13-15 Hz) during slow wave sleep was higher for patients without epilepsy and without depressive symptoms as compared to patients without depressive symptoms but with focal epilepsy (p =.005). Depressive symptoms affect slow wave sleep duration of patients with epilepsy similarly as in patients without epilepsy. Since reduced slow wave sleep can increase the likelihood of seizure occurrence, these results stress the importance of adequate treatment for patients with epilepsy who experience depressive symptoms.
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Affiliation(s)
| | - Eugen Trinka
- Department of Neurology, Christian Doppler University Hospital, Paracelsus Medical University and Centre for Cognitive Neuroscience Salzburg, Austria. Member of the European Reference Network EpiCARE. Neuroscience Institute, Christian Doppler University Hospital, Paracelsus Medical University and Centre for Cognitive Neuroscience Salzburg, Austria
| | - Yvonne Höller
- Faculty of Psychology, University of Akureyri, Akureyri, Iceland.
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Jaseja H. Electroencephalography in the diagnosis and management of treatment-resistant depression with comorbid epilepsy: a novel strategy. Gen Psychiatr 2023; 36:e100868. [PMID: 37082530 PMCID: PMC10111881 DOI: 10.1136/gpsych-2022-100868] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Accepted: 03/27/2023] [Indexed: 04/22/2023] Open
Affiliation(s)
- Harinder Jaseja
- Physiology, Ram Krishna Medical College Hospital and Research Centre, Bhopal, Madhya Pradesh, India
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