Evidence map›Paper›PMID 37908567›Full record

ArticleJCEM case reports2023

Maternally Inherited Diabetes and Deafness (MIDD) - Atypical Clinical Diabetes Features Leading to the Diagnosis.

Anna Kyriakidou, Marilena Hadjivassiliou, Anastasia Papapostolou, Michalis K Picolos

Open access · diamondAbstract readCase Reports
In one paragraph

Article in JCEM case reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Epstein-Barr Virus Induced Myositis in a Patient with Mitochondrial Diabetes.European journal of case reports in internal medicine · 2025
    Article
  5. 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

4 authors at 2 institutions in 2 countries.

Anna KyriakidouSchool of Clinical Medicine, University of Cambridge, Cambridge CB2 0SP, UK.ORCID https://orcid.org/0000-0001-8964-8345
Marilena HadjivassiliouDepartment of Cardiovascular Genetics and the Laboratory of Forensic Genetics, The Cyprus Institute of Neurology and Genetics, Nicosia 2371, Cyprus.ORCID https://orcid.org/0000-0001-6609-6277
Anastasia PapapostolouAlithias Endocrinology Center, Nicosia 2324, Cyprus.ORCID https://orcid.org/0000-0002-6157-2761
Michalis K PicolosAlithias Endocrinology Center, Nicosia 2324, Cyprus.ORCID https://orcid.org/0000-0003-3562-8810
Cyprus Institute of Neurology and Genetics · CYUniversity of Cambridge · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Maternally inherited diabetes and deafness (MIDD) syndrome refers to a rarely diagnosed disorder caused by pathogenic variants in mtDNA. It was first identified in 1992 and, to date, is considered underdiagnosed because of misclassification to type 1 or type 2 diabetes mellitus. MIDD reflects a multisystem metabolic syndrome commonly resulting in insulin-requiring diabetes and sensorineural deafness but can also lead to a broad range of other manifestations. The spectrum of pathology differs among individuals, likely because of varied degrees of heteroplasmy associated with mtDNA. Heteroplasmy also creates diagnostic difficulties, with a high index of suspicion required to diagnose MIDD in some cases. Here, we review a patient with MIDD who presented with an atypical clinical diabetes picture, additionally documenting his pedigree. To our knowledge, this is the first Cypriot reported with MIDD.

Indexed as

Cyprusheteroplasmyinsulin-requiring diabetesMIDDmitochondrial diabetesmitochondrial DNA

Identifiers

PMID37908567
PMCPMC10580451
OpenAlexW4378085105

What OpenQuestion holds

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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.