Evidence map›Paper›PMID 35942831›Full record

ArticlePediatric endocrinology, diabetes, and metabolism2022

Glycaemic control and factors affecting it in type 1 diabetes in children: experience from a tertiary care centre in India.

Devi Dayal, Jaivinder Yadav, Rakesh Kumar, Saniya Gupta, Arti Yadav, Pamali Nanda

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Article in Pediatric endocrinology, diabetes, and metabolism, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing papers in PubMed
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1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Devi DayalDepartment of Pediatrics, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Jaivinder YadavDepartment of Pediatrics, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Rakesh KumarDepartment of Pediatrics, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Saniya GuptaDepartment of Pediatrics, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Arti YadavDepartment of Pediatrics, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Pamali NandaDepartment of Pediatrics, Postgraduate Institute of Medical Education and Research, Chandigarh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionOptimal glycaemic control is essential for the prevention of future micro- and macrovascular complications in type 1 diabetes (T1D). The type of insulin, the type of insulin delivery device, the caregiver's knowledge, the patient's age, duration of diabetes, and self-monitoring of blood glucose affect glycaemic control in type 1 diabetes. In the present study, we analysed glycaemic control and factors affecting it at a tertiary care centre in northern India. MATERIAL AND

methodsA retrospective review of records of patients registered between 2015 and 2018 was done. The data on demographic and disease-related factors were collected from the records. The different groups were compared with the t-test, one-way ANOVA, or Kruskal-Wallis test.

resultsThe mean age at the time of evaluation was 10.43 ±4.04 years (2-21 years), and the mean disease duration was 46.61 ±28.49 months (16-141 months). Most of the patients were prepubertal and using a basal-bolus regimen. The mean glycated haemoglobin (HbA1c ) was 7.96 ±1.46%, but only 24% had HbA1c below the International Society of Paediatric and Adolescent Diabetes (ISPAD) recommended desirable level of below 7%. Forty-six patients suffered one or more micro-macrovascular complications, and dyslipidaemia was the most common complication. Children with a longer duration of disease (8.39 ±1.42% vs. 7.59 ±1.65%), an episode of DKA (diabetes ketoacidosis) within a year of evaluation (9.19 ±2.54% vs. 7.93 ±1.39%), lower maternal (8.22 ±1.37% vs. 7.56 ±1.45%) and paternal education (8.26 ±1.67% vs. 7.78 ±1.30%), and hyperthyroid state (9.43 ±2.28% vs. 7.91 ±1.45%) had higher HbA1c.

conclusionsBetter diabetes education focusing on parents with lower education strata and children with longer disease duration and poor compliance can help improve glycaemic control in developing countries like India.

Indexed as

Diabetes Mellitus, Type 1Diabetic KetoacidosisAdolescentBlood GlucoseChildGlycated HemoglobinGlycemic ControlHumansHypoglycemic AgentsInsulinTertiary Care CentersBlood GlucoseGlycated HemoglobinHypoglycemic AgentsInsulineducation.glycaemic controlglycated haemoglobin (HbA1c)type 1 diabetes

Identifiers

PMID35942831
PMCPMC10214966

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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.