Evidence map›Paper›PMID 37855645›Full record

ArticleEndocrinology, diabetes & metabolism case reports2023

Diagnostic pitfalls in a young adult with new diabetes.

Natalie Below, Deborah Morrison, Ruth McGowan, Gregory C Jones

Open access · goldAbstract read
In one paragraph

Article in Endocrinology, diabetes & metabolism case reports, 2023. 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, top 70% 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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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, 0 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.

Natalie BelowDiabetes Centre, Gartnavel General Hospital, Glasgow, UK.ORCID 0000-0001-9203-3966
Deborah MorrisonDiabetes Centre, Gartnavel General Hospital, Glasgow, UK.
Ruth McGowanWest of Scotland Centre for Genomic Medicine, Glasgow, UK.
Gregory C JonesDiabetes Centre, Gartnavel General Hospital, Glasgow, UK.
Gartnavel General Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Summary: A 20-year-old South Asian male presented with polyuria, polydipsia, HbA1c 81 mmol/mol, BMI 28.8 and family history of both type 1 and type 2 diabetes mellitus. As autoantibody testing was negative and c-peptide level demonstrated significant endogenous insulin secretion, type 1 diabetes was excluded. Given his age and family history, the differential diagnosis included maturity-onset diabetes of the young (MODY), a rare form of diabetes caused by a single-gene variant. A high probability of MODY was calculated and he was subsequently referred for genetic testing. Although a useful tool, the pre-test probability calculator for MODY is only validated in White Europeans. A heterogenous variant of unknown clinical significance of the NEUROD1 gene was detected, leading to gliclazide use with poor response. The patient responded well to metformin. Type 2 diabetes was considered the most likely diagnosis. This case highlights the diagnostic challenges in young patients of Asian ethnicity and the importance of interpreting genetic results of unknown significance within the clinical context. Ethnicity-specific BMI thresholds should be used when classifying patients as overweight or obese. Learning points: Variants of unknown significance detected by genetic sequencing should be interpreted within the context of the patient's other clinical parameters. It is important to use ethnicity-specific BMI thresholds for obesity. Diagnosis of type 2 diabetes mellitus at younger ages is becoming increasingly common. The pre-test probability calculator for MODY is only validated in White Europeans; although a useful guide, results should be interpreted with caution in patients of other ethnicities.

Identifiers

PMID37855645
PMCPMC10620446
OpenAlexW4387576815

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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.