Evidence map›Paper›PMID 40115461›Full record

ArticleTranslational pediatrics2025

A rare

Qiong Wang, Yan Chen, Jun Li, Baomin Li

Abstract readCase Reports
In one paragraph

Article in Translational pediatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Mitochondrial tRNA-Derived Diseases.International journal of molecular sciences · 2025
    Review
  2. A rareTranslational pediatrics · 2025
    Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Qiong WangDepartment of Pediatrics, Qilu Hospital of Shandong University, Jinan, China.
Yan ChenDepartment of Pediatrics, Qilu Hospital of Shandong University, Jinan, China.
Jun LiDepartment of Pediatrics, Qilu Hospital of Shandong University, Jinan, China.
Baomin LiDepartment of Pediatrics, Qilu Hospital of Shandong University, Jinan, China.ORCID https://orcid.org/0000-0001-6320-4228

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Mitochondrial diseases represent a diverse group of disorders caused by defects in mitochondrial DNA (mtDNA) or nuclear DNA (nDNA), leading to a wide range of clinical manifestations. These diseases can affect multiple organs, particularly the nervous system, and present with symptoms such as epilepsy, neurodevelopmental delays, and muscular disorders. Over 300 genetic mutations have been linked to these conditions, with clinical heterogeneity being a hallmark of mitochondrial diseases. Early diagnosis and management are crucial, especially in pediatric cases where the disease burden may evolve with age. The aim of this study is to explore the variability in clinical presentation and progression associated with specific genetic mutations, using the case of a rare Case Description: This paper reports on a rare Conclusions: This case offers significant insights into the intricate nature of mitochondrial diseases, especially in pediatric populations. It highlights the critical importance of regular physical examinations and vigilant monitoring for potential multi-system involvement, which are essential for early detection and timely symptomatic intervention to mitigate further damage. Furthermore, this case underscores the necessity to investigate factors influencing clinical penetrance, such as the interplay between mitochondrial and nuclear gene mutations, heterogeneity levels, and age-related accumulation of cellular damage, to better understand disease progression and optimize therapeutic strategies.

Indexed as

case reportm.1630A>GMitochondrial diseaseMT-TV

Identifiers

PMID40115461
PMCPMC11921224

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.