Evidence map›Paper›PMID 38487642›Full record

ArticleClinical case reports2024

Elderly onset of MELAS carried an M.3243A >G mutation in a female with deafness and visual deficits: A case report.

Lin Zijun, Yi Xu, Yang Yujia, Xu Zhiqiang

Open access · goldAbstract readCase Reports
In one paragraph

Article in Clinical case reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 38% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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 at 1 institution in 1 country.

Lin ZijunDepartment of Neurology Army Medical Center of People's Liberation Army of China Chongqing China.ORCID https://orcid.org/0000-0002-5409-5004
Yi XuDepartment of Neurology Army Medical Center of People's Liberation Army of China Chongqing China.
Yang YujiaDepartment of Neurology Army Medical Center of People's Liberation Army of China Chongqing China.
Xu ZhiqiangDepartment of Neurology Army Medical Center of People's Liberation Army of China Chongqing China.
Army Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Key Clinical Message: MELAS is a disorder with clinical variability that also responsible for a significant portion of unexplained hereditary or childhood-onset hearing loss. Although patients typically present in childhood, the first stroke-like episode can occur later in life in some patients, potentially related to a lower heteroplasmy level. It is crucial to consider MELAS as a potential cause of stroke-like events if age at presentation and symptoms are atypical, especially among middle-aged patients without vascular risk factors. Abstract: MELAS syndrome (mitochondrial encephalopathy with lactic acidosis and stroke-like episodes) is a rare genetic condition that most patients develop stroke-like episodes before the age of 40. We report a 52-year-old female with a documented 40-year history of progressive sensorineural hearing loss, developed a visual field deficit and stroke-like events in her middle age who finally diagnosed was MELAS. The patient was started on vitamin E, l-carnitine, l-arginine, and coenzyme Q10 that gradually improved before dismissal from the hospital. This case highlights the importance of considering MELAS as a potential cause of stroke-like events if imaging findings are atypical for cerebral infarction, especially among middle-aged patients without vascular risk factors and an unusual cause of progressive sensorineural hearing loss.

Indexed as

case reportepilepsyMELAS syndromemitochondriastroke‐like episodesvisual deficit

Identifiers

PMID38487642
PMCPMC10937291
OpenAlexW4392815230

What OpenQuestion holds

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LicenceCC BY-NC
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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.