Evidence mapPaperPMID 30613401Full record

ArticleBMJ open diabetes research & care2018

Clinical phenotyping of newly diagnosed type 2 diabetes in Yemen.

Abdallah Ahmed Gunaid, Mohammed Mohammed Al-Kebsi, Mahfouth Abdalla Bamashmus, Saleh Ahmed Al-Akily, Ahmed Nasser Al-Radaei

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Article in BMJ open diabetes research & care, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

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8citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Abdallah Ahmed GunaidDepartment of Internal Medicine, Sana'a University Medical School, Sana'a, Yemen.ORCID 0000-0002-5971-3094
Mohammed Mohammed Al-KebsiDepartment of Internal Medicine, Sana'a University Medical School, Sana'a, Yemen.
Mahfouth Abdalla BamashmusDepartment of Ophthalmology, Sana'a University Medical School, Sana'a, Yemen.
Saleh Ahmed Al-AkilyDepartment of Ophthalmology, Sana'a University Medical School, Sana'a, Yemen.
Ahmed Nasser Al-RadaeiSenior Registrar, Sana'a Diabetes Center, Sana'a, Yemen.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo identify clinical phenotypes of type 2 diabetes (T2D) among adults presenting with a first diagnosis of diabetes. RESEARCH DESIGN AND

methodsA total of 500 consecutive patients were subject to clinical assessment and laboratory investigations. We used data-driven cluster analysis to identify phenotypes of T2D based on clinical variables and Homeostasis Model Assessment (HOMA2) of insulin sensitivity and beta-cell function estimated from paired fasting blood glucose and specific insulin levels.

resultsThe cluster analysis identified three statistically different clusters: cluster 1 (high insulin resistance and high beta-cell function group), which included patients with low insulin sensitivity and high beta-cell function; cluster 2 (low insulin resistance and low beta-cell function group), which included patients with high insulin sensitivity but very low beta-cell function; and cluster 3 (high insulin resistance and low beta-cell function group), which included patients with low insulin sensitivity and low beta-cell function. Insulin sensitivity, defined as median HOMA2-S, was progressively increasing from cluster 1 (35.4) to cluster 3 (40.9), to cluster 2 (76) (p<0.001). On the contrary, beta-cell function, defined as median HOMA2-β, was progressively declining from cluster 1 (78.3) to cluster 3 (30), to cluster 2 (22.3) (p<0.001). Clinical and biomarker variables associated with insulin resistance like obesity, abdominal adiposity, fatty liver, and high serum triglycerides were mainly seen in clusters 1 and 3. The highest median hemoglobin A1c value was noted in cluster 2 (88 mmol/mol) and the lowest in cluster 1.

conclusionCluster analysis of newly diagnosed T2D in adults has identified three phenotypes based on clinical variables central to the development of diabetes and on specific clinical variables of each phenotype.

Indexed as

clinical featuresHOMA2-modelingphenotypestype 2 diabetesYemen

Identifiers

PMID30613401
PMCPMC6304101

What Socratic holds

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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.