Evidence map›Paper›PMID 33498041›Full record

ArticleHormone research in paediatrics2020

Clinical Characteristics, Molecular Features, and Long-Term Follow-Up of 15 Patients with Neonatal Diabetes: A Single-Centre Experience.

Zehra Yavas Abali, Elisa De Franco, Esin Karakilic Ozturan, Sukran Poyrazoglu, Ruveyde Bundak, Firdevs Bas, Sarah E Flanagan, Feyza Darendeliler

Open access · bronzeAbstract read
In one paragraph

Article in Hormone research in paediatrics, 2020. 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
0.4field-weighted citation impact, top 34% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Permanent Neonatal Diabetes with High Insulin Requirements due to a New Variant in theJournal of clinical research in pediatric endocrinology · 2026
    Article
  2. Neonatal diabetes mellitus around the world: Update 2024.Journal of diabetes investigation · 2024
    Review
  3. The Changing Landscape of Neonatal Diabetes Mellitus in Italy Between 2003 and 2022.The Journal of clinical endocrinology and metabolism · 2024
    Article
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

8 authors at 2 institutions in 2 countries.

Zehra Yavas AbaliDepartment of Paediatric Endocrinology and Diabetes, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey, zehra_yavas@yahoo.com.
Elisa De FrancoInstitute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, United Kingdom.
Esin Karakilic OzturanDepartment of Paediatric Endocrinology and Diabetes, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey.
Sukran PoyrazogluDepartment of Paediatric Endocrinology and Diabetes, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey.
Ruveyde BundakDepartment of Paediatric Endocrinology and Diabetes, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey.
Firdevs BasDepartment of Paediatric Endocrinology and Diabetes, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey.
Sarah E FlanaganInstitute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, United Kingdom.
Feyza DarendelilerDepartment of Paediatric Endocrinology and Diabetes, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey.
Istanbul University · TRUniversity of Exeter · GB

Funding

Wellcome Trust 098395Wellcome Trust 105636
6 · The paper itself

Abstract

backgroundDiabetes diagnosed within the first 6 months of life is defined as neonatal diabetes mellitus (NDM). Mutations in the KCNJ11, ABCC8, and INS genes are the most common cause of permanent NDM. In populations with a high rate of consanguinity, Wolcott-Rallison syndrome caused by biallelic EIF2AK3 mutations is common.

methodsWe studied the clinical characteristics and underlying genetic cause of disease in 15 individuals with diabetes onset before 6 months of age as defined by sustained hyperglycaemia requiring insulin treatment. Patients who had a remission of the diabetes, defined by a normal blood glucose and HbA1c value without insulin or sulphonylurea (SU) treatment, within the first 18 months of life were classified as having transient NDM (TNDM).

resultsWe report 15 patients with NDM from 14 unrelated families, including 10 with reported parental consanguinity. 1/15 patients had a remission of diabetes, leading to a diagnosis of TNDM. Mutations were detected in 80% (n = 12/15) of the cohort (ABCC8 [n = 4], PTF1A-distal enhancer [n = 3], KCNJ11 [n = 2], EIF2AK3 [n = 1], INS [n = 1], and SLC19A2 [n = 1]). All cases were initially treated with multiple dose insulin injections. One patient with an ABCC8 mutation transitioned from insulin to SU resulting in improved metabolic control at the age of 20 years.

conclusionAlthough the number of individuals born to consanguineous parents was considerably high in this cohort, KATP channel mutations (ABCC8/KCNJ11) were more common than EIF2AK3 mutations (n = 6 vs. n = 1). Genetic analyses should be performed in all NDM cases due to the potential impact on treatment and prognosis.

Indexed as

Diabetes MellituseIF-2 KinaseFemaleFollow-Up StudiesHumansInfantInfant, NewbornInsulinKcnj11 ChannelMaleMembrane Transport ProteinsMutationPotassium Channels, Inwardly RectifyingPrognosisSulfonylurea ReceptorsTranscription FactorsABCC8 protein, humanEIF2AK3 protein, humaneIF-2 KinaseInsulinKcnj11 ChannelMembrane Transport ProteinsPotassium Channels, Inwardly RectifyingSLC19A2 protein, humanSulfonylurea Receptorstranscription factor PTF1Transcription FactorsABCC8EIF2AK3INSKCNJ11Monogenic diabetes of infancyNeonatal diabetesPTF1ASLC19A2

Identifiers

PMID33498041
PMCPMC7611806
OpenAlexW3122459684

What OpenQuestion holds

Textmetadata
LicenceTDM
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 OpenQuestion graph.