Evidence map›Paper›PMID 39676784›Full record

ArticleIndian journal of endocrinology and metabolism

Our Experiences and Learnings in Diagnosing MODY from Non-Institutional-Based Diabetes Care Clinics.

Arunkumar R Pande, Santosh Chaubey, Dinesh Kumar, Kumar P Chandra, Thenral Geetha, Akshita Sharma

Abstract read
In one paragraph

Article in Indian journal of endocrinology and metabolism. 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
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

1 citing paper in PubMed.

  1. 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

6 authors.

Arunkumar R PandeDepartment of Endocrinology, Lucknow Endocrine Diabetes and Thyroid Clinic, Uttar Pradesh, India.
Santosh ChaubeyDepartment of Endocrinology, Cairns and Hinterland Hospital and Health Service, 165 The Esplanade Cairns North QLD, Queensland, Australia.
Dinesh KumarDepartment of Internal Medicine, Harsh Clinic and Diabetes Care Centre, Singar Nagar Alambagh, Lucknow, Uttar Pradesh, India.
Kumar P ChandraDepartment of Diabetology, Chandra Diabetes Clinic, Vijayant Khand, Gomti Nagar, Lucknow, Uttar Pradesh, India.
Thenral GeethaDepartment of Genetics, MedGenome Labs, Tamil Nadu, India.
Akshita SharmaDepartment of Genetics, MedGenome Labs, Tamil Nadu, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Maturity-onset diabetes of the young (MODY) is a rare group of disorders characterised by impaired functions or development of pancreatic islets and monogenic diabetes at a young age. Diagnosing MODY can be rewarding for both clinicians and patients as it can change the management from generic to targeted therapy. Methods: This study reports the retrospective analysis of data collected from four clinics between March 2016 and February 2023 from Lucknow, a city in northern India. Fifty-three individuals are suspected to be affected by MODY based on ISPAD guidelines. Following a detailed clinical evaluation, they were referred for genetic diagnostic testing. Results: The cohort consists of 19 females and 34 males with a mean age of diagnosis of 25.3 years and a body mass index of 22.3 Kg/m Conclusion: We found a diagnostic yield of around 10% of pathogenic or likely pathogenic variants in individuals who were suspected to have MODY. As it is a field that is still evolving, we might consider starting with oral agents under close supervision in those individuals who have VUS; there are some proportions of individuals who might not have classical sulfonylurea-responsive genetic variants, but they might respond to it.

Indexed as

HNF1A MODYMODYmonogenic diabetespediatric diabetesyoung diabetes

Identifiers

PMID39676784
PMCPMC11642506

What Socratic holds

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LicenceCC BY-NC-SA
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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 Socratic graph.