Evidence map›Paper›PMID 38060471›Full record

ArticlePloS one2023

A protocol for a pooled analysis of cohort studies: The association between depression and anxiety in epileptic disorders.

Yan Wang, Changbo Shen, Junyan Zhang, Qingcheng Yang, Jianshe Li, Jun Tan, Hang Yu, Zubing Mei

Abstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

8 authors.

Yan WangDepartment of Neurology, The Third Affiliated Hospital of Xinxiang Medical University, Xinxiang, China.
Changbo ShenDepartment of Neurology, The Third Affiliated Hospital of Xinxiang Medical University, Xinxiang, China.
Junyan ZhangDepartment of Neurology, The Third Affiliated Hospital of Xinxiang Medical University, Xinxiang, China.
Qingcheng YangDepartment of Neurology, The People's Hospital of Anyang City, Anyang, China.
Jianshe LiDepartment of Neurology, Xinxiang Central Hospital, Henan Province, China.
Jun TanDepartment of Neurology, The Third Affiliated Hospital of Xinxiang Medical University, Xinxiang, China.
Hang YuEmergency Department, Changhai Hospital, Naval Military Medical University, Shanghai, China.
Zubing MeiDepartment of Anorectal Surgery, Shuguang Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.ORCID 0000-0002-5012-957X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

introductionDepressive 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.

methodsWe 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.

Indexed as

DepressionEpilepsyAdultAnxietyAnxiety DisordersCohort StudiesHumansMeta-Analysis as TopicSeizuresSystematic Reviews as Topic

Identifiers

PMID38060471
PMCPMC10703227

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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.