Evidence map›Paper›PMID 36043137›Full record

ArticleBrain communications2022

CSF biomarkers in patients with epilepsy in Alzheimer's disease: a nation-wide study.

Rakesh Kumar Banote, Samuel Håkansson, Henrik Zetterberg, Johan Zelano

Abstract read
In one paragraph

Article in Brain communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Exploring biomarkers of neurodegeneration in epilepsy: Critical insights.Epileptic disorders : international epilepsy journal with videotape · 2025
    Review
  6. The Bidirectional Relationship Between Epilepsy and Alzheimer's Disease.Current neurology and neuroscience reports · 2025
    Review
  7. Review
  8. Review
  9. Review
  10. Article
  11. Article
  12. Molecular Biomarkers of Neuronal Injury in Epilepsy Shared with Neurodegenerative Diseases.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2023
    Article
  13. Review
  14. 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

4 authors.

Rakesh Kumar BanoteDepartment of Neurology, Sahlgrenska University Hospital, Gothenburg 41345, Sweden.ORCID https://orcid.org/0000-0003-4871-0725
Samuel HåkanssonDepartment of Neurology, Sahlgrenska University Hospital, Gothenburg 41345, Sweden.ORCID https://orcid.org/0000-0002-8681-0113
Henrik ZetterbergDepartment of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal 43180, Sweden.ORCID https://orcid.org/0000-0003-3930-4354
Johan ZelanoDepartment of Neurology, Sahlgrenska University Hospital, Gothenburg 41345, Sweden.ORCID https://orcid.org/0000-0001-9445-4545

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alzheimer's disease is the most common neurodegenerative dementia. A subset of Alzheimer's disease patients develop epilepsy. The risk is higher in young-onset Alzheimer's disease, but pathophysiological mechanisms remain elusive. The purpose of this study was to assess biomarkers reflecting neurodegeneration in Alzheimer's disease patients with and without epilepsy. By cross-referencing the largest national laboratory database with Swedish National Patient Register, we could identify CSF biomarker results from 17901 Alzheimer's disease patients, and compare levels of neurofilament light, glial fibrillary acidic protein, total tau, phosphorylated tau and amyloid beta 42 in patients with (

Indexed as

Alzheimer’s diseasebiomarkerscerebrospinal fluidepilepsy

Identifiers

PMID36043137
PMCPMC9419062

What OpenQuestion holds

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Registered trials

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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.