ArticleBMC endocrine disorders2026
Impact of social vulnerability on glycemic control and diabetes technology use in youth with type 1 diabetes.
Article in BMC endocrine disorders, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
backgroundDiabetes technology has been shown to improve glycemic control in people with type 1 diabetes (T1DM). Despite their benefits, these technologies are used less frequently by youth from lower socioeconomic backgrounds and racial minorities worldwide. This study aimed to examine the relationship between social vulnerability, disparities in diabetes technology use, and glycemic control in youth with T1DM.
methodsThis retrospective billing code analysis included 1,460 patients with T1DM, aged ≤ 23 years old, who were seen at a large academic diabetes center in the Midwest between January 2020 and April 2022, before the expansion of insurance coverage for diabetes technology in Missouri. We analyzed data on number of visit encounters, use of a continuous glucose monitor (CGM), use of an insulin pump, area of deprivation index (ADI) score, age, sex, race, and type of insurance. A predictive multiple linear regression model was used to assess mean hemoglobin A1c (HbA1c). A negative binomial regression was used to assess diabetic ketoacidosis (DKA) occurrences.
resultsThere was statistically significant lower usage of diabetes technology in Black patients, those on Medicaid, and those with higher social vulnerability (p < 0.001). Increased rates of DKA were associated with older age, higher HbA1c, Black racial identity, and insulin pump use. Conversely, independent insulin pump or CGM use was significantly associated with lower HbA1c levels, especially among patients from the most disadvantaged groups (p < 0.001).
conclusionsThis study highlights that independent insulin pump or CGM use can mitigate the negative impacts of social vulnerability and race on long term glycemic control in youth with type 1 diabetes, emphasizing the need for greater access to these essential technologies.
Indexed as
Identifiers
What Socratic holds
Registered trials
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.