Evidence map›Paper›PMID 31641427›Full record

ArticleWorld journal of diabetes2019

Type 1 diabetes in a Nigerian family - occurrence in three out of four siblings: A case report.

Michael Adeyemi Olamoyegun, Oluwabukola Ayodele Ala

Open access · diamondAbstract readCase Reports
In one paragraph

Article in World journal of diabetes, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 86% 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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 citations in OpenAlex.

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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

2 authors at 2 institutions in 1 country.

Michael Adeyemi OlamoyegunDepartment of Internal Medicine, Endocrinology, Diabetes & Metabolism Unit, College of Health Sciences, Ladoke Akintola University of Technology (LAUTECH)/LAUTECH Teaching Hospital, Ogbomoso 240222, Oyo State, Nigeria. maolamoyegun@lautech.edu.ng.
Oluwabukola Ayodele AlaDepartment of Internal Medicine, Endocrinology, Diabetes & Metabolism Unit, BOWEN University Teaching Hospital, and College of Health Sciences, BOWEN University, Iwo 232101, Osun State, Nigeria.
Bowen University · NGLadoke Akintola University of Technology · NG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMost occurrences of type 1 diabetes cases in any population are sporadic rather than familial. Hence, type 1 diabetes among siblings is a rare occurrence. Even more rare is for three or more siblings to develop type 1 diabetes. In this report, we describe a case of a Nigerian family in which type 1 diabetes occurred in three siblings among four children with neither parent having diabetes. All three siblings are positive for glutamic acid decarboxylase and anti-islet cell antibodies. CASE SUMMARY: There were four siblings (three males and one female) born to a couple without a diagnosis of diabetes. The eldest child (male) was diagnosed with diabetes at the age of 15, the second child (female) was diagnosed at the age of 11 and the fourth child (male) was diagnosed at the age of 9. All the siblings presented with similar osmotic symptoms and were diagnosed of diabetic ketoacidosis. All of them had markedly reduced serum C-peptide levels with high levels of glutamic acid decarboxylase and insulinoma-associated protein-2 antibodies. We could not perform genetic analysis of HLA-DR, DQ and CTLA4 in the siblings as well as the parents; hence haplotypes could not be characterized. Both parents of the probands have no prior history of diabetes, and their blood glucose and glycated hemoglobin levels were within normal ranges. The third child (male) has no history suggestive of diabetes, and his blood glucose and glycated hemoglobin have remained within normal ranges.

conclusionAlthough the occurrence of type 1 diabetes in proband siblings is uncommon, screening for diabetes among siblings especially with islet autoantibodies should be encouraged.

Indexed as

Case reportFamilyNigerianSiblingsType 1 diabetes

Identifiers

PMID31641427
PMCPMC6801310
OpenAlexW2980373083

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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.