Evidence map›Paper›PMID 42660860›Full record

ArticleDiabetes, obesity & metabolism2026

Exploratory Analysis of Type 2 Diabetes Mellitus Metabolic Phenotypes and Their Association With Vitamin D Status in Primary Care Patients.

Liliane Viana Pires, Matheus Menezes-Santos, Andréa Costa Goes, Heitor Siqueira Ribeiro, Luana Ferreira Alves, Beatriz Cruz Dos Santos, Jéssyca Teles Barreto, Roberta Cristina Vieira Meneses, Ana Mara de Oliveira E Silva, Ana Hermínia Andrade E Silva and 1 more

Abstract read
In one paragraph

Article in Diabetes, obesity & metabolism, 2026. 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

11 authors.

Liliane Viana PiresNutritional Biochemistry Laboratory, Department of Nutrition, Center for Biological and Health Sciences, Federal University of Sergipe, São Cristóvão, Brazil.ORCID https://orcid.org/0000-0003-1710-0836
Matheus Menezes-SantosNutritional Biochemistry Laboratory, Department of Nutrition, Center for Biological and Health Sciences, Federal University of Sergipe, São Cristóvão, Brazil.
Andréa Costa GoesNutritional Biochemistry Laboratory, Department of Nutrition, Center for Biological and Health Sciences, Federal University of Sergipe, São Cristóvão, Brazil.
Heitor Siqueira RibeiroManagement Innovation Institute, Cidade Ocidental Campus, Federal University of Goiás, Cidade Ocidental, Brazil.
Luana Ferreira AlvesNutritional Biochemistry Laboratory, Department of Nutrition, Center for Biological and Health Sciences, Federal University of Sergipe, São Cristóvão, Brazil.
Beatriz Cruz Dos SantosNutritional Biochemistry Laboratory, Department of Nutrition, Center for Biological and Health Sciences, Federal University of Sergipe, São Cristóvão, Brazil.
Jéssyca Teles BarretoNutritional Biochemistry Laboratory, Department of Nutrition, Center for Biological and Health Sciences, Federal University of Sergipe, São Cristóvão, Brazil.
Roberta Cristina Vieira MenesesNutritional Biochemistry Laboratory, Department of Nutrition, Center for Biological and Health Sciences, Federal University of Sergipe, São Cristóvão, Brazil.
Ana Mara de Oliveira E SilvaNutrition Sciences Post-Graduation Program, Department of Nutrition, Center for Biological and Health Sciences, Federal University of Sergipe, São Cristóvão, Brazil.
Ana Hermínia Andrade E SilvaDepartment of Statistics, Center for Exact and Natural Sciences, Federal University of Paraíba, João Pessoa, Brazil.
Sadraque Eneas de Figueiredo LucenaDepartment of Statistics and Actuarial Sciences, Center for Exact and Technological Sciences, Federal University of Sergipe, São Cristóvão, Brazil.

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico 443162/2020-4Coordenação de Aperfeiçoamento de Pessoal de Nível Superior 001
6 · The paper itself

Abstract

aimsThis study aimed to perform an exploratory characterisation of metabolic phenotypes in primary care patients with type 2 diabetes mellitus (T2DM), using a predefined approach and examine their association with vitamin D status. MATERIALS AND

methodsThis cross-sectional study included 178 participants randomly selected in Sergipe, Brazil. Phenotypic clusters were derived using body mass index (BMI), glycated haemoglobin levels, age at diagnosis, insulin resistance (homeostatic model assessment (HOMA) for insulin resistance) and β-cell function (HOMA-B). To explore differences across phenotypes, we evaluated high-sensitivity C-reactive protein [hs-CRP] and serum ferritin levels, waist circumference and BMI, serum concentrations of 25-hydroxyvitamin D [25(OH)D] and therapeutic profile. Clustering was performed using the K-medoids algorithm. Group comparisons were performed using the Kruskal-Wallis and Fisher's exact tests and associations were assessed using multivariable logistic regression. A p-value of < 0.05 was considered significant.

resultsFour metabolic phenotypes were identified: two more severe clusters (severe insulin-deficient diabetes (SIDD)-like and severe insulin-resistant diabetes-like) and two milder clusters (mild obesity-related diabetes (MOD)-like and mild age-related diabetes (MARD)-like). Significant differences were observed in age, insulin use, waist circumference and fasting glucose, triglycerides and hs-CRP levels. Median 25(OH)D levels were lower in severe phenotypes compared with milder phenotypes. The SIDD-like group, characterised by marked insulin deficiency, showed 3.68-fold higher odds of vitamin D insufficiency (< 30 ng/mL) compared with the MARD-like phenotype (p = 0.013).

conclusionsThe metabolic phenotypes were explored in a primary care T2DM cohort, supporting their reproducibility across clinical settings. Vitamin D status varied by phenotype severity, with more severe phenotypes more likely to exhibit insufficiency.

Indexed as

Diabetes Mellitus, Type 2Vitamin DVitamin D DeficiencyAdultAgedBody Mass IndexBrazilCross-Sectional StudiesFemaleGlycated HemoglobinHumansInsulin ResistanceMaleMiddle AgedPhenotypePrimary Health Care25-hydroxyvitamin DGlycated HemoglobinVitamin Dinsulin resistanceobservational studyprimary carereal‐world evidencetype 2 diabetes

Identifiers

PMID42660860
PMCPMC13646376

What Socratic holds

Textmetadata
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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.