Evidence map›Paper›PMID 36438002›Full record

ReviewFrontiers in aging neuroscience2022

Alzheimer's disease and epilepsy: An increasingly recognized comorbidity.

Fei Yang, Liling Chen, Yanying Yu, Tingwan Xu, Lu Chen, Wenqian Yang, Qian Wu, Yanbing Han

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Frontiers in aging neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Review
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.

Fei YangDepartment of Neurology, First Affiliated Hospital of Kunming Medical University, Kunming, China.
Liling ChenDepartment of Neurology, First Affiliated Hospital of Kunming Medical University, Kunming, China.
Yanying YuDepartment of Neurology, First Affiliated Hospital of Kunming Medical University, Kunming, China.
Tingwan XuDepartment of Neurology, First Affiliated Hospital of Kunming Medical University, Kunming, China.
Lu ChenDepartment of Neurology, First Affiliated Hospital of Kunming Medical University, Kunming, China.
Wenqian YangDepartment of Neurology, First Affiliated Hospital of Kunming Medical University, Kunming, China.
Qian WuDepartment of Neurology, First Affiliated Hospital of Kunming Medical University, Kunming, China.
Yanbing HanDepartment of Neurology, First Affiliated Hospital of Kunming Medical University, Kunming, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Both Alzheimer's disease (AD) and epilepsy are common chronic diseases in older people. Seizures and epileptiform discharges are very prevalent in AD and can occur since any stage of AD. Increasing evidence indicates that AD and epilepsy may be comorbid. Several factors may be related to the underlying mechanism of the comorbidity. Identifying seizures in patients with AD is a challenge because seizures are often clinically non-motor and may overlap with some AD symptoms. Not only seizures but also epileptiform discharges may exacerbate the cognitive decline in AD patients, highlighting the importance of early recognition and treatment. This review provides a comprehensive overview of seizures in AD from multiple aspects to provide more insight.

Indexed as

Alzheimer’s diseasecognitioncomorbidityepilepsyseizure

Identifiers

PMID36438002
PMCPMC9685172

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.