Evidence map›Paper›PMID 38953734›Full record

ArticleJournal of clinical research in pediatric endocrinology2025

Inequalities in Access to Diabetes Technologies in Children with Type 1 Diabetes: A Multicenter, Cross-sectional Study from Türkiye

Kağan Ege Karakuş, Sibel Sakarya, Ruken Yıldırım, Şervan Özalkak, Mehmet N Özbek, Nurdan Yıldırım, Gülcan Delibağ, Beray S Eklioğlu, Belma Haliloğlu, Murat Aydın and 6 more

Abstract readMulticenter Study
In one paragraph

Article in Journal of clinical research in pediatric endocrinology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Observational
  2. Article
  3. 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

16 authors.

Kağan Ege KarakuşUniversity of Colorado, Barbara Davis Center for Diabetes, Colorado, USAORCID 0000-0002-8552-5206
Sibel SakaryaKoç University Faculty of Medicine, Department of Public Health, İstanbul, TürkiyeORCID 0000-0002-9959-6240
Ruken YıldırımDiyarbakır Child Diseases Hospital, Clinic of Pediatric Endocrinology and Diabetes, Diyarbakır, TürkiyeORCID 0000-0002-9558-3856
Şervan ÖzalkakUniversity of Health Sciences Türkiye, Gazi Yaşargil Training and Research Hospital, Clinic of Pediatric Endocrinology and Diabetes, Diyarbakır, TürkiyeORCID 0000-0002-1557-6040
Mehmet N ÖzbekUniversity of Health Sciences Türkiye, Gazi Yaşargil Training and Research Hospital, Clinic of Pediatric Endocrinology and Diabetes, Diyarbakır, TürkiyeORCID 0000-0002-3203-741X
Nurdan YıldırımUniversity of Health Sciences Türkiye, Ankara Dr. Sami Ulus Child Health and Diseases Training and Research Hospital, Clinic of Pediatric Endocrinology and Diabetes, Ankara, TürkiyeORCID 0000-0002-9958-1786
Gülcan DelibağÇukurova University, Balcalı Hospital Health Application and Research Center, Clinic of Pediatric Endocrinology and Diabetes, Adana, Türkiye
Beray S EklioğluNecmettin Erbakan University Faculty of Medicine, Department of Pediatric Endocrinology and Diabetes, Konya, TürkiyeORCID 0000-0002-6700-5346
Belma HaliloğluMarmara University Faculty of Medicine, Department of Pediatric Endocrinology, İstanbul, TürkiyeORCID 0000-0001-9946-235X
Murat AydınOndokuz Mayıs University Faculty of Medicine, Department of Pediatric Endocrinology, Samsun, TürkiyeORCID 0000-0001-7374-229X
Heves KırmızıbekmezUniversity of Health Sciences Türkiye, Ümraniye Training and Research Hospital, Clinic of Pediatric Endocrinology and Diabetes, İstanbul, TürkiyeORCID 0000-0002-8663-3452
Tuğba GökçeKoç University Faculty of Medicine, Department of Pediatric Endocrinology and Diabetes, İstanbul, TürkiyeORCID 0000-0003-3781-3892
Ecem CanKoç University Faculty of Medicine, Department of Pediatric Endocrinology and Diabetes, İstanbul, TürkiyeORCID 0000-0001-6312-6004
Elif EvizKoç University Faculty of Medicine, Department of Pediatric Endocrinology and Diabetes, İstanbul, TürkiyeORCID 0000-0002-8889-6811
Gül Yeşiltepe-MutluKoç University Faculty of Medicine, Department of Pediatric Endocrinology and Diabetes, İstanbul, TürkiyeORCID 0000-0003-3919-7763
Şükrü HatunKoç University Faculty of Medicine, Department of Pediatric Endocrinology and Diabetes, İstanbul, TürkiyeORCID 0000-0003-1633-9570

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To determine inequalities in access to diabetes technologies and the effect of socioeconomic factors on families with children with type 1 diabetes. Methods: In this multicenter, cross-sectional study, parents of children with type 1 diabetes completed a questionnaire about household sociodemographic characteristics, latest hemoglobin A1c (HbA1c) values, continuous glucose monitoring (CGM) and insulin pump use of children, the education and working status of parents. These characteristics were compared between technology use (only-CGM, only-pump, CGM+pump, no technology use). Results: Among 882 families, only-CGM users, only-pump users, and CGM+pump users were compared with no technology users, adjusting for age, sex, region, education levels, number of working parents, and household income. Children living in the least developed region had lower odds of having only-CGM [odds ratio (OR)=0.20, 95% confidence interval (CI): 0.12-0.34, p<0.001] and having CGM+pump (OR=0.07, 95% CI: 0.03-0.22, p<0.001) compared with those living in the most developed region. Children with parents who had not finished high school had lower odds of having only-CGM (mothers: OR=0.36, 95% CI: 0.19-0.66, p=0.001; fathers: OR=0.32, 95% CI: 0.18-0.60, p<0.001) or both CGM+pump (mothers: OR=0.27, 95% CI: 0.11-0.64, p=0.003; fathers: OR=0.34, 95% CI: 0.15-0.79, p=0.012) rather than no-technology compared to children whose parents have a university degree. Every $840 increase in the household income increased the odds by 5% for having only-CGM (OR=1.05, 95% CI: 1.02-1.09, p<0.001) or CGM+pump (OR=1.05, 95% CI: 1.01-1.08, p<0.001). Conclusion: Socioeconomic factors, such as parental education, region of residence, and income were associated with inequality in access to technologies. The inequalities are more prominent in access to CGM.

Indexed as

Diabetes Mellitus, Type 1Healthcare DisparitiesHealth Services AccessibilityInsulin Infusion SystemsAdolescentBlood Glucose Self-MonitoringChildCross-Sectional StudiesFemaleGlycated HemoglobinHumansInsulinMaleSocioeconomic FactorsSurveys and QuestionnairesTurkeyGlycated HemoglobinInsulinContinuous glucose monitoringinequalitytechnologytype 1 diabetes

Identifiers

PMID38953734
PMCPMC11923490

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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 OpenQuestion graph.