Evidence map›Paper›PMID 40837343›Full record

ArticleWorld journal of diabetes2025

Ai-Min Gao, Wan-Ling Deng, Xin-Ping Yang, Wan-Yue Wu, Chun-Yuan Ma, Yu Liu

Abstract readCase Reports
In one paragraph

Article in World journal of diabetes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
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.

Ai-Min GaoDepartment of Pediatric Endocrinology, Genetics and Metabolism, Guiyang Maternal and Child Health Care Hospital, Guiyang Children's Hospital, Guiyang 550000, Guizhou Province, China.
Wan-Ling DengDepartment of Pediatric Endocrinology, Genetics and Metabolism, Guiyang Maternal and Child Health Care Hospital, Guiyang Children's Hospital, Guiyang 550000, Guizhou Province, China.
Xin-Ping YangDepartment of Pediatric Endocrinology, Genetics and Metabolism, Guiyang Maternal and Child Health Care Hospital, Guiyang Children's Hospital, Guiyang 550000, Guizhou Province, China.
Wan-Yue WuDepartment of Pediatric Endocrinology, Genetics and Metabolism, Guiyang Maternal and Child Health Care Hospital, Guiyang Children's Hospital, Guiyang 550000, Guizhou Province, China.
Chun-Yuan MaDepartment of Pediatric Endocrinology, Genetics and Metabolism, Guiyang Maternal and Child Health Care Hospital, Guiyang Children's Hospital, Guiyang 550000, Guizhou Province, China.
Yu LiuDepartment of Pediatric Endocrinology, Genetics and Metabolism, Guiyang Maternal and Child Health Care Hospital, Guiyang Children's Hospital, Guiyang 550000, Guizhou Province, China. yuliudoctor2@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWolfram syndrome is a rare autosomal recessive genetic disorder characterized by early-onset diabetes and progressive neurodegeneration, most notably sensorineural hearing loss and optic atrophy. Because its initial manifestations are usually similar to those of type 1 diabetes, the diagnosis may be delayed until other manifestations appear. Pathogenic variations of the CASE SUMMARY: A 2-year-old Han Chinese girl was admitted with a 1-month history of polydipsia, polyuria, and polyphagia, and was diagnosed with diabetic ketoacidosis and impaired insulin secretion. Sensorineural hearing loss was also detected. Whole-exome sequencing identified a previously unreported heterozygous mutation,

conclusionThis case identifies

Indexed as

Case reportChildhood diabetes mellitusCongenital deafnessMonogenic diabetesWFS1 geneWolfram syndrome

Identifiers

PMID40837343
PMCPMC12362480

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Registered trials

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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.