Evidence map›Paper›PMID 36520790›Full record

SynthesisPloS one2022

Exploring the association between epilepsy and depression: A systematic review and meta-analysis.

Shao-Kun Qin, Zi-Xian Yang, Zhen-Wei Guan, Jin-Hu Zhang, Xin Ping, Ye Lu, Lin Pei

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Apigenin Regulating PI3K/AKT Pathway to Improve Depressive Behavior in Epileptic Rats.Combinatorial chemistry & high throughput screening · 2026
    Article
  6. Modelling risk factors for depressive symptoms in seizure disorders.Therapeutic advances in neurological disorders · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Review
  17. Article
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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

7 authors at 3 institutions in 1 country.

Shao-Kun QinHebei University of Chinese Medicine, Shijiazhuang, Hebei, China.
Zi-Xian YangHebei Key Laboratory of Turbidity, Shijiazhuang, Hebei, China.
Zhen-Wei GuanHebei Key Laboratory of Turbidity, Shijiazhuang, Hebei, China.
Jin-Hu ZhangHebei Key Laboratory of Turbidity, Shijiazhuang, Hebei, China.
Xin PingHebei Key Laboratory of Turbidity, Shijiazhuang, Hebei, China.
Ye LuHebei Key Laboratory of Turbidity, Shijiazhuang, Hebei, China.
Lin PeiHebei Key Laboratory of Turbidity, Shijiazhuang, Hebei, China.ORCID 0000-0002-4590-9125
Hebei Academy of Sciences · CNHebei University of Chinese Medicine · CNNorth China University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study offers meta-analytic data on the potential association between epilepsy and depression especially for the prevalence of depression in epilepsy or vice versa.

methodsThe relevant studies were searched and identified from nine electronic databases. Studies that mentioned the prevalence and/or incidence of epilepsy and depression were included. Hand searches were also included. The search language was English and the search time was through May 2022. Where feasible, random-effects models were used to generate pooled estimates.

resultsAfter screening electronic databases and other resources, 48 studies from 6,234 citations were included in this meta-analysis. The period prevalence of epilepsy ranged from 1% to 6% in patients with depression. In population-based settings, the pooled period prevalence of depression in patients with epilepsy was 27% (95% CI, 23-31) and 34% in clinical settings (95% CI, 30-39). Twenty studies reported that seizure frequency, low income, unemployment of the patients, perception of stigma, anxiety, being female, unmarried status, disease course, worse quality of life, higher disability scores, and focal-impaired awareness seizures were risk factors for depression.

conclusionOur study found that epilepsy was associated with an increased risk of depression. Depression was associated with the severity of epilepsy.

Indexed as

Epilepsies, PartialEpilepsyDepressionFemaleHumansMaleQuality of LifeSeizures

Identifiers

PMID36520790
PMCPMC9754200
OpenAlexW4311556912

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.