Evidence mapPaperPMID 39649652Full record

ArticleTranslational pediatrics2024

A 6-year-old girl with gout: a case report and another unusual presentation.

Shengyou Yu, Junbo Liang, Qi Ren

Abstract readCase Reports
In one paragraph

Article in Translational pediatrics, 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
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

2 citing papers in PubMed.

  1. Article
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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

3 authors.

Shengyou YuDepartment of Pediatrics, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, China.
Junbo LiangDepartment of Orthopaedics, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, China.
Qi RenDepartment of Rheumatology and Immunology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Gout is the most common inflammatory arthritis in adults, and although gout has been trending younger in recent years, children with gout before the age of 10 years are still rare cases, especially asymptomatic children with gout, making gout in children easy to misdiagnose. This study aimed to describe the clinical characteristics, laboratory tests, imaging findings, and treatment outcomes of a 6-year-old girl with gout. Case Description: This case presents a detailed report of a 6-year-old girl diagnosed with primary gout, a condition that is exceedingly rare in pediatric patients, especially those asymptomatic. The patient exhibited a swelling on her right foot that was initially misdiagnosed multiple times before being correctly identified as gout. This patient experienced a marked improvement in their condition following the administration of the prescribed treatment. Furthermore, subsequent follow-up assessments have confirmed the absence of any recurrence. The case highlights the diagnostic challenges faced due to atypical presentations and lack of pediatric-specific diagnostic criteria for hyperuricemia and gout. In this study, we provided a comprehensive discussion on the genetic and metabolic factors contributing to gout, as well as the importance of early and accurate diagnosis to prevent long-term complications. Conclusions: This case report provides valuable insights into the rare occurrence of gout in children, emphasizing the importance of early and accurate diagnosis and treatment for primary gout in children, emphasizing the need for heightened awareness and accurate diagnostic criteria among pediatric clinicians.

Indexed as

case reportChildrengouthyperuricemiauric acid

Identifiers

PMID39649652
PMCPMC11621891

What Socratic holds

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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 Socratic graph.