Evidence map›Paper›PMID 38639860›Full record

ArticleIndian journal of pediatrics2024

Beyond HbA1c: Identifying Gaps in Glycemic Control Among Children and Young People with Type 1 Diabetes Using Continuous Glucose Monitoring.

Ambica Tandon, Eshita Bhowmik, Zebish Ali, Sarita Tripathi, Ajitha Bk, Preeti Dabadghao, Siddhnath Sudhanshu, Vijayalakshmi Bhatia

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Article in Indian journal of pediatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 28% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

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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

8 authors at 2 institutions in 1 country.

Ambica TandonDepartment of Endocrinology, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, 226014, India.
Eshita BhowmikDepartment of Endocrinology, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, 226014, India.
Zebish AliDepartment of Endocrinology, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, 226014, India.
Sarita TripathiDepartment of Endocrinology, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, 226014, India.
Ajitha BkDepartment of Statistics, Government Medical College, Thrissur, Kerala, India.
Preeti DabadghaoDepartment of Endocrinology, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, 226014, India.
Siddhnath SudhanshuDepartment of Endocrinology, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, 226014, India.
Vijayalakshmi BhatiaDepartment of Endocrinology, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, 226014, India. bhatiaviji@gmail.com.ORCID 0000-0003-4683-664X
Sanjay Gandhi Post Graduate Institute of Medical Sciences · INGovernment Medical College · IN

Funding

Endocrine Society of India ESI Trainee Grant 2020
6 · The paper itself

Abstract

objectivesTo describe continuous glucose monitoring (CGM) derived glycemic variables, and study their association with HbA1c and socio-economic factors in young people with Type 1 diabetes mellitus (T1DM).

methodsNinety-two participants [age 15.7 ± 5.0 y (mean ± SD), HbA1c 8.0 ± 1.5% (mean ± SD)] wore a professional CGM sensor for 14 d.

resultsMedian (IQR) time in range (TIR) was 41 (18)%. Participants spent 41 ± 20% of their day in hyperglycemia (>180 mg/dl), and 14 (13)% in hypoglycemia (<70 mg/dl). High glycemic variability (percent CV >36%) was seen in 92% participants. Older age at diagnosis was associated with higher TIR (β = 0.267, p = 0.01), lower time above range (TAR) (β = -0.352, p <0.001), but higher time below range (TBR) (β = 0.274, p = 0.006). The use of NPH vs. glargine basal insulin was associated with higher TBR (β = -0.262, p = 0.009) but lower TAR (β = 0.202, p = 0.041). HbA1c showed negative correlation with TIR (r = -0.449, p <0.001) and TBR (r = -0.466, p <0.001) and positive correlation with TAR (r = 0.580, p <0.001) and mean glucose (r = 0.589, p <0.001).

conclusionsThese data demonstrate wide gaps between the recommended vs. real world glycemic variables in patients with T1DM in this region on multiple daily insulin injections. CGM identifies glycemic variability and complements HbA1c in improving glycemic control.

Indexed as

Blood GlucoseBlood Glucose Self-MonitoringDiabetes Mellitus, Type 1Glycated HemoglobinGlycemic ControlAdolescentChildContinuous Glucose MonitoringFemaleHumansHypoglycemic AgentsMaleYoung AdultBlood GlucoseGlycated HemoglobinHypoglycemic AgentsCGMSGlycemic variabilityHypoglycemiaInterstitial fluid glucoseSensorTime in range

Identifiers

PMID38639860
OpenAlexW4394958661

What OpenQuestion holds

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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.