Evidence map›Paper›PMID 38173171›Full record

ArticleEpilepsia open2024

Characteristics of deceased subjects transported to a postmortem imaging center due to unusual death related to epilepsy.

Yoshiki Ito, Nobuhiro Hata, Satoshi Maesawa, Takafumi Tanei, Tomotaka Ishizaki, Manabu Mutoh, Miki Hashida, Yutaka Kobayashi, Ryuta Saito

Open access · goldAbstract read
In one paragraph

Article in Epilepsia open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. 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

9 authors at 2 institutions in 1 country.

Yoshiki ItoDepartment of Neurosurgery, Nagoya University School of Medicine, Nagoya, Aichi, Japan.ORCID https://orcid.org/0009-0006-0909-2353
Nobuhiro HataDepartment of Neurosurgery, Sakura General Hospital, Aichi, Japan.ORCID https://orcid.org/0009-0004-0765-3001
Satoshi MaesawaDepartment of Neurosurgery, Nagoya University School of Medicine, Nagoya, Aichi, Japan.ORCID https://orcid.org/0000-0001-7518-0171
Takafumi TaneiDepartment of Neurosurgery, Nagoya University School of Medicine, Nagoya, Aichi, Japan.
Tomotaka IshizakiDepartment of Neurosurgery, Nagoya University School of Medicine, Nagoya, Aichi, Japan.
Manabu MutohDepartment of Neurosurgery, Nagoya University School of Medicine, Nagoya, Aichi, Japan.
Miki HashidaDepartment of Neurosurgery, Nagoya University School of Medicine, Nagoya, Aichi, Japan.
Yutaka KobayashiDepartment of Surgery, Sakura General Hospital, Aichi, Japan.
Ryuta SaitoDepartment of Neurosurgery, Nagoya University School of Medicine, Nagoya, Aichi, Japan.
Nagoya University Hospital · JPBerurando General Hospital · JP

Funding

Japanese Epilepsy Research FoundationJapan Society for the Promotion of Science
6 · The paper itself

Abstract

objectivePatients with epilepsy have high risk of experiencing uncommon causes of death. This study aimed to evaluate patients who underwent unusual deaths related to epilepsy and identify factors that may contribute to these deaths and may also include sudden unexpected death in epilepsy (SUDEP).

methodsWe analyzed 5291 cases in which a postmortem imaging (PMI) study was performed using plane CT, because of an unexplained death. A rapid troponin T assay was performed using peripheral blood samples. Clinical information including the cause of death suspected by the attending physician, body position, place of death, medical history, and antiseizure medications was evaluated.

resultsA total of 132 (2.6%) patients had an obvious history of epilepsy, while 5159 individuals had no history of epilepsy (97.4%). Cerebrovascular disease was the cause of death in 1.6% of patients in the group with epilepsy, and this was significantly lower than that in the non-epilepsy group. However, drowning was significantly higher (9.1% vs. 4.4%). Unspecified cause of death was significantly more frequent in the epilepsy group (78.0% vs. 57.8%). Furthermore, the proportion of patients who demonstrated elevation of troponin T levels without prior cardiac disease was significantly higher in the epilepsy group (37.9% vs. 31.1%). At discovery of death, prone position was dominant (30.3%), with deaths occurring most commonly in the bedroom (49.2%). No antiseizure medication had been prescribed in 12% of cases, while 29.5% of patients were taking multiple antiseizure medications. SIGNIFICANCE: The prevalence of epilepsy in individuals experiencing unusual death was higher than in the general population. Despite PMI studies, no definitive cause of death was identified in a significant proportion of cases. The high troponin T levels may be explained by long intervals between death and examination or by higher incidence of myocardial damage at the time of death. PLAIN LANGUAGE SUMMARY: This study investigated unusual deaths in epilepsy patients, analyzing 5291 postmortem imaging cases. The results showed that 132 cases (2.6%) had a clear history of epilepsy. In these cases, only 22% cases were explained after postmortem examination, which is less than in non-epilepsy group (42.2%). Cerebrovascular disease was less common in the epilepsy group, while drowning was more common. Elevated troponin T levels, which suggest possibility of myocardial damage or long intervals between death and examination, were also more frequent in the epilepsy group compared to non-epilepsy group.

Indexed as

Cerebrovascular DisordersDrowningEpilepsyAutopsyHumansPostmortem ImagingTroponin TTroponin Tcerebrovascular diseasedrowningmortality riskmyocardial damageSUDEP

Identifiers

PMID38173171
PMCPMC10984304
OpenAlexW4390583873

What OpenQuestion holds

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LicenceCC BY
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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.