Evidence map›Paper›PMID 40949926›Full record

ArticleTranslational pediatrics2025

A case report of Graves' disease combined with pseudohypoaldosteronism type IID in a child.

Junlan Yao, Xiangji Li, Wei Lu

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. Not yet cited in PubMed.

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

0 citing papers in PubMed.

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

3 authors.

Junlan YaoDepartment of Pediatrics, Yichang Central People's Hospital & the First College of Clinical Medical Science, China Three Gorges University, Yichang, China.
Xiangji LiDepartment of Neurosurgery, Yichang Central People's Hospital & the First College of Clinical Medical Science, China Three Gorges University, Yichang, China.
Wei LuDepartment of Pediatrics, Yichang Central People's Hospital & the First College of Clinical Medical Science, China Three Gorges University, Yichang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Graves' disease and pseudohypoaldosteronism type IID (PHA IID) are rare pediatric endocrine diseases with different etiologies and pathological features. Graves' disease is caused by autoimmune thyroid stimulation, while PHA IID is an inherited renal tubular disorder characterized by hyperkalemia and hypertension due to mutations in the Case Description: On the initial hospitalization, the patient presented with sudden onset of altered consciousness, tachycardia, and electrolyte disturbances, including hyperkalemia and metabolic acidosis. Following thyroid function tests and thyroid ultrasonography, a diagnosis of Graves' disease was made. Antithyroid treatment with methimazole and propranolol was administered, leading to an improvement in the blood gas and biochemical parameters. Although thyroid function was controlled, the patient's hyperkalemia, hyperchloremia, metabolic acidosis, and hypertension remained refractory to treatment. Further genetic testing revealed a Conclusions: The simultaneous occurrence of Graves' disease and PHA IID is rare in children. Clinicians should be alert to the possibility of such comorbidities in clinical practice. For patients with persistent hyperkalemia, particularly those with concomitant metabolic acidosis and hyperchloremia, early genetic testing can enhance diagnostic efficiency and optimize treatment strategies.

Indexed as

case reportGraves’ diseasehyperkalemiahypertensionKLHL3 genemetabolic acidosisPseudohypoaldosteronism (PHA)

Identifiers

PMID40949926
PMCPMC12433029

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.