Evidence map›Paper›PMID 34652236›Full record

ArticleJournal of diabetes science and technology2023

Observed Characteristics Associated with Diabetes Device Use Among Teens with Type 1 Diabetes.

Charlotte W Chen, Liane J Tinsley, Lisa K Volkening, Barbara J Anderson, Lori M Laffel

Open access · greenAbstract readMulticenter Study
In one paragraph

Article in Journal of diabetes science and technology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 pooled it
1.5field-weighted citation impact, top 17% 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

9 citing papers in PubMed, 2 syntheses or guidelines pooled it, 15 citations in OpenAlex.

  1. Guideline
  2. Guideline
  3. Trial
  4. Observational
  5. Article
  6. Article
  7. Review
  8. Review
  9. 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

5 authors at 3 institutions in 1 country.

Charlotte W ChenJoslin Diabetes Center, Boston, MA, USA.ORCID 0000-0001-6328-7051
Liane J TinsleyJoslin Diabetes Center, Boston, MA, USA.
Lisa K VolkeningJoslin Diabetes Center, Boston, MA, USA.
Barbara J AndersonBaylor College of Medicine, Texas Children's Hospital, Houston, TX, USA.
Lori M LaffelJoslin Diabetes Center, Boston, MA, USA.ORCID 0000-0002-9675-3001
Boston Children's Hospital · USJoslin Diabetes Center · USBaylor College of Medicine · US

Funding

SPECIAL ASSAY COREP30DK036836 · NIDDK · JOSLIN DIABETES CENTER · PI ROHIT N. KULKARNI · 1986 to 2026
$50.5M
TRAINING IN DIABETES AND METABOLISMT32DK007260 · NIDDK · JOSLIN DIABETES CENTER · PI LAURIE J GOODYEAR · 1986 to 2026
$13.6M
Optimizing Self-Management Adherence and Glycemic Control in Older Teens with T1DR01DK095273 · NIDDK · JOSLIN DIABETES CENTER · PI ANDERSON, BARBARA JANE, LAFFEL, LORI M · 2012 to 2015
$2.7M
NIDDK NIH HHS P30 DK036836NIDDK NIH HHS R01 DK095273NIDDK NIH HHS T32 DK007260
6 · The paper itself

Abstract

backgroundDespite advancements in diabetes technologies, disparities remain with respect to diabetes device use in youth with type 1 diabetes (T1D). We compared sociodemographic, diabetes, and psychosocial characteristics associated with device (pump and continuous glucose monitor [CGM]) use in 13- to 17-year-old teens with T1D. MATERIALS/

methodsData were derived from a multicenter clinical trial to optimize self-care and glycemic control in teens with T1D. We categorized teens as pump users versus non-users and CGM users versus non-users based on their diabetes device usage. Chi-square and

resultsThe sample comprised 301 teens (50% female) with baseline mean ± SD age 15.0 ± 1.3 years, T1D duration 6.5 ± 3.7 years, and HbA1c 8.5 ± 1.1% (69 ± 12 mmol/mol). Two-thirds (65%) were pump users, and 27% were CGM users. Pump users and CGM users (vs. non-users) were more likely to have a family annual household income ≥$150,000, private health insurance, and a parent with a college education (all

conclusionThere were many sociodemographic, diabetes-specific, and psychosocial factors associated with device use. Modifiable factors can serve as the target for clinical interventions; youth with non-modifiable factors can receive extra support to overcome potential barriers to device use.

Indexed as

Diabetes Mellitus, Type 1AdolescentBlood GlucoseBlood Glucose Self-MonitoringFemaleGlycated HemoglobinHumansInsulin Infusion SystemsMaleQuality of LifeBlood GlucoseGlycated Hemoglobinadolescentscontinuous glucose monitoringdiabetes devicesdisparitiesinsulin pumptype 1 diabetes

Identifiers

PMID34652236
PMCPMC9846387
OpenAlexW3205738922

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.