Evidence mapPaperPMID 37559367Full record

ArticleJournal of clinical research in pediatric endocrinology2024

Cardiovascular Risk Factors in Adolescents with Type 1 Diabetes: Prevalence and Gender Differences

Doğuş Vurallı, Lala Jalilova, Ayfer Alikaşifoğlu, Z Alev Özön, E Nazlı Gönç, Nurgün Kandemir

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical research in pediatric endocrinology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

8 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Evaluation of Arrhythmia Risk in Children with Type 1 Diabetes MellitusJournal of clinical research in pediatric endocrinology · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Glycemic control and study of lipid and bone metabolism in type 1 diabetic childrenBiomedica : revista del Instituto Nacional de Salud · 2024
    Article
  8. 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 at 1 institution in 1 country.

Doğuş VurallıHacettepe University Faculty of Medicine, Department of Pediatrics, Clinic of Pediatric Endocrinology, Ankara, TurkeyORCID 0000-0002-4011-2299
Lala JalilovaHacettepe University Faculty of Medicine, Department of Pediatrics, Ankara, TurkeyORCID 0000-0002-5038-1409
Ayfer AlikaşifoğluHacettepe University Faculty of Medicine, Department of Pediatrics, Clinic of Pediatric Endocrinology, Ankara, TurkeyORCID 0000-0003-3379-6407
Z Alev ÖzönHacettepe University Faculty of Medicine, Department of Pediatrics, Clinic of Pediatric Endocrinology, Ankara, TurkeyORCID 0000-0002-2390-5123
E Nazlı GönçHacettepe University Faculty of Medicine, Department of Pediatrics, Clinic of Pediatric Endocrinology, Ankara, TurkeyORCID 0000-0003-1385-2563
Nurgün KandemirHacettepe University Faculty of Medicine, Department of Pediatrics, Clinic of Pediatric Endocrinology, Ankara, TurkeyORCID 0000-0001-9745-4989
Hacettepe University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Cardiovascular diseases (CVD) are the most important cause of morbidity and mortality in patients with type 1 diabetes (T1D). Children with T1D have a similar or higher prevalence of being overweight (OW) or obese (Ob) compared to healthy peers. The aim of this study was to determine the prevalence of CVD risk factors in children and adolescents with T1D and the impact of obesity and sex differences on these factors. Methods: Data of patients aged 10-21 years and who had been using intensive insulin therapy with a diagnosis of T1D for at least three years were evaluated. Patients were divided into normal weight (NW), OW and Ob groups based on body mass index percentiles. Risk factors for CVD (obesity, dyslipidemia, hypertension) were compared between groups, and impact of gender was also analyzed. Results: Data of 365 patients (200 girls, 54.8%), were evaluated. Prevalence of OW/Ob was 25.9% and was significantly higher in girls (30.6% vs 20.1%, p<0.001). Rate of hypertension was highest in OW/Ob girls followed by OW/Ob boys, and similar in NW girls and boys (p=0.003). Mean low density lipoprotein cholesterol (LDL-c) and triglyceride (TG) levels were highest in OW/Ob girls, followed by OW/Ob boys, NW girls and NW boys, respectively (p<0.001 and p<0.001, respectively). Mean high density lipoprotein-cholesterol (HDL-c) levels were similar among groups. Rates of high LDL-c and TG were similar between OW/Ob girls and boys and higher than NW girls, followed by NW boys (p<0.001 and p<0.001, respectively). The rate of low HDL-c was similar in OW/Ob girls and boys, and higher than NW girls, followed by NW boys (p<0.001). Overall, girls were 1.9 times more likely than boys to have two or more risk factors for CVD. Factors associated with risk for CVD in multiple logistic regression analyses were being a girl, followed by higher daily insulin dose, higher hemoglobin A1c, and longer duration of diabetes (r=0.856; p<0.001). Conclusion: In spite of the increased prevalence for obesity in both sexes, the trend for CVD risk factors was greater in Ob girls, followed by Ob boys and NW girls. Girls with T1D are more likely to be OW/Ob and to have CVD risk than boys, highlighting the need for early intervention and additional studies to elucidate the causes.

Indexed as

Cardiovascular DiseasesDiabetes Mellitus, Type 1HypertensionInsulinsAdolescentBody Mass IndexChildCholesterol, LDLFemaleHeart Disease Risk FactorsHumansMaleObesityOverweightPrevalenceRisk FactorsCholesterol, LDLInsulinsdyslipidemiahypertensionobesityOverweighttype 1 diabetes

Identifiers

PMID37559367
PMCPMC10938523
OpenAlexW3200737647

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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 Socratic graph.