Evidence map›Paper›PMID 38414607›Full record

ArticleWorld journal of clinical cases2024

Neuroimaging features in a patient with non-ketotic hyperglycaemic seizures: A case report.

Jing Wu, Huijie Feng, Yaxiong Zhao, Junfeng Li, Ting Li, Kefeng Li

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In one paragraph

Article in World journal of clinical cases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

6 authors at 2 institutions in 2 countries.

Jing WuDepartment of Radiology, Heping Hospital Affiliated to Changzhi Medical College, Changzhi 046000, Shanxi Province, China.
Huijie FengDepartment of Radiology, Heping Hospital Affiliated to Changzhi Medical College, Changzhi 046000, Shanxi Province, China.
Yaxiong ZhaoDepartment of Radiology, Heping Hospital Affiliated to Changzhi Medical College, Changzhi 046000, Shanxi Province, China.
Junfeng LiDepartment of Radiology, Heping Hospital Affiliated to Changzhi Medical College, Changzhi 046000, Shanxi Province, China.
Ting LiDepartment of Radiology, Heping Hospital Affiliated to Changzhi Medical College, Changzhi 046000, Shanxi Province, China.
Kefeng LiFaculty of Applied Sciences, Macao Polytechnic University, Macau 999078, China. kefengl@mpu.edu.mo.
Changzhi Medical College · CNMacao Polytechnic University · MO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNon-ketotic hyperglycaemic (NKH) seizures are a rare neurological complication of diabetes caused by hyperglycaemia in non-ketotic and non-hyperosmotic states. The clinical characteristics of NKH seizures are atypical and lack unified diagnostic criteria, leading to potential misdiagnoses in the early stages of the disease. CASE SUMMARY: This report presents a rare case of NKH seizures in a 52-year-old male patient with a history of type 2 diabetes mellitus. We performed comprehensive magnetic resonance imaging (MRI) studies at admission, 12 d post-admission, and 20 d post-discharge. The imaging techniques included contrast-enhanced head MRI, T2-weighted imaging (T2WI), fluid-attenuated inversion recovery (FLAIR), diffusion-weighted imaging, susceptibility-weighted imaging, magnetic resonance spectroscopy (MRS), and magnetic resonance venography. At the time of admission, T2WI and FLAIR of the cranial MRI showed that the left parieto-occipital cortex had gyrus-like swelling and high signal, and subcortical stripes had low signal. MRS showed a reduced N-acetylaspartate peak and increased creatine and choline peaks in the affected areas. A follow-up MRI 20 d later showed that the swelling and high signal of the left parieto-occipital cortex had disappeared, and the low signal of the subcortex had disappeared.

conclusionThis case study provides valuable insights into the potential pathogenesis, diagnosis, and treatment of NKH seizures. The comprehensive MRI findings highlight the potential utility of various MRI sequences in diagnosing and characterizing NKH seizures.

Indexed as

Case reportDiabetesMagnetic resonance imagingMagnetic resonance spectroscopyNon-ketotic hyperglycaemia seizures

Identifiers

PMID38414607
PMCPMC10895633
OpenAlexW4392783060

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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.