Evidence map›Paper›PMID 36686471›Full record

ArticleFrontiers in endocrinology2022

Case report: A 10-year prognosis of neonatal diabetes caused by a novel

Mengting Tian, Yi Feng, Yanyan Liu, Hua Wang

Open access · goldAbstract readCase Reports
In one paragraph

Article in Frontiers in endocrinology, 2022. 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
1.0field-weighted citation impact, top 27% 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

0 citing papers in PubMed, 3 citations in OpenAlex.

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

4 authors at 1 institution in 1 country.

Mengting TianDepartment of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, China.
Yi FengDepartment of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, China.
Yanyan LiuPrenatal Diagnosis Center, Department of Obstetrics & Gynecologic, West China Second University Hospital, Sichuan University, Chengdu, China.
Hua WangDepartment of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, China.
West China Second University Hospital of Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Neonatal diabetes mellitus (NDM) is a rare form of diabetes. We analyzed a novel insulin gene ( Case description: A proband was recruited who was diagnosed with permanent neonatal diabetes on his first day after birth. His clinical and follow-up data were collected for 10 years. All of the family members were given an oral glucose tolerance test. Whole exome sequencing was performed on the proband, and the genomic DNA of family members was used for verification by first-generation Sanger sequencing technology. The pathogenic variant was screened according to the American College of Medical Genetics and Genomics classification guidelines and the clinical phenotype of the patient. Diagnostic assessment: The proband was diagnosed on the first day after birth, presenting with low birth weight, progressive hyperglycemia, and insulin deficiency. His parents and grandfathers were confirmed to have normal blood sugar levels. A novel homozygous mutation of c.1T>C in the Conclusion: A favorable prognosis is presented for a permanent neonatal diabetes mellitus (PNDM) patient with a novel mutation in the

Indexed as

Blood GlucoseDiabetes MellitusHumansInsulinMutationPrognosisUnited StatesBlood GlucoseInsulinautosomal recessive inheritancediabetes case studydiabetes follow-updiabetes homozygositydiabetes treatmentINSneonatal diabetes mellitus (NDM)

Identifiers

PMID36686471
PMCPMC9852905
OpenAlexW4313649696

What OpenQuestion holds

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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.