Evidence map›Paper›PMID 31308020›Full record

ArticleDiabetes care2020

Distinct Patterns of Daily Glucose Variability by Pubertal Status in Youth With Type 1 Diabetes.

Jia Zhu, Lisa K Volkening, Lori M Laffel

Open access · bronzeAbstract read
In one paragraph

Article in Diabetes care, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

17 citing papers in PubMed, 28 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. The usability and feasibility of a self-compassion chatbot (COMPASS) for youth living with type 1 diabetes.Diabetic medicine : a journal of the British Diabetic Association · 2025
    Article
  5. Unveiling the Spectrum of Glucose Variability: A Novel Perspective on FreeStyle Libre Monitoring Data.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2024
    Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Observational
  14. Article
  15. Beyond A1C: A Practical Approach to Interpreting and Optimizing Continuous Glucose Data in Youth.Diabetes spectrum : a publication of the American Diabetes Association · 2021
    Article
  16. Article
  17. Review
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

3 authors at 2 institutions in 1 country.

Jia ZhuPediatric, Adolescent, and Young Adult Section, Section on Clinical, Behavioral and Outcomes Research, Joslin Diabetes Center, Boston, MA.
Lisa K VolkeningPediatric, Adolescent, and Young Adult Section, Section on Clinical, Behavioral and Outcomes Research, Joslin Diabetes Center, Boston, MA.
Lori M LaffelPediatric, Adolescent, and Young Adult Section, Section on Clinical, Behavioral and Outcomes Research, Joslin Diabetes Center, Boston, MA lori.laffel@joslin.harvard.edu.ORCID 0000-0002-9675-3001
Boston Children's Hospital · USJoslin Diabetes Center · US

Funding

SPECIAL ASSAY COREP30DK036836 · NIDDK · JOSLIN DIABETES CENTER · PI JEAN E. SCHAFFER · 1986 to 2026
$50.5M
CAREER DEVELOPMENT IN DIABETES RESEARCH FOR PEDIATRIC ENDOCRINOLOGISTSK12DK094721 · NIDDK · BOSTON CHILDREN'S HOSPITAL · PI LAFFEL, LORI M, WHITE, MORRIS F. · 2011 to 2021
$6.3M
Optimizing CGM Use and Metabolic Outcomes in Youth with Type 1 DiabetesR01DK089349 · NIDDK · JOSLIN DIABETES CENTER · PI LAFFEL, LORI M · 2010 to 2013
$2.8M
NIDDK NIH HHS K12 DK094721NIDDK NIH HHS P30 DK036836NIDDK NIH HHS R01 DK089349
6 · The paper itself

Abstract

objectiveTo evaluate glycemia and metrics of glucose variability in youth with type 1 diabetes, and to assess patterns of 24-h glucose variability according to pubertal status. RESEARCH DESIGN AND

methodsMetrics of glycemia, glucose variability, and glucose patterns were assessed by using 4 weeks of continuous glucose monitoring (CGM) data from 107 youth aged 8-17 years with type 1 diabetes for ≥1 year. Glucose values per hour were expressed as percentages relative to the mean glucose over 24 h for a 4-week period. Glucose data were compared on the basis of pubertal status-prepubertal (Tanner stage [T] 1), pubertal (T2-4), and postpubertal (T5)-and A1C categories (<7.5% [<58 mmol/mol], ≥7.5% [≥58 mmol/mol]).

resultsYouth (50% female, 95% white) had a mean ± SD age of 13.1 ± 2.6 years, diabetes duration of 6.3 ± 3.5 years, and A1C of 7.8 ± 0.8% (62 ± 9 mmol/mol); 88% were pump treated. Prepubertal youth had a higher mean glucose SD (86 ± 12 mg/dL [4.8 ± 0.7 mmol/L];

conclusionsPrepubertal youth had greater glucose variability independent of A1C than did pubertal and postpubertal youth. A1C alone does not capture the full range of glycemic parameters, highlighting the added insight of CGM in managing youth with type 1 diabetes.

Indexed as

AdolescentBiological Variation, PopulationBlood GlucoseBlood Glucose Self-MonitoringChildDiabetes Mellitus, Type 1FemaleFollow-Up StudiesGlycated HemoglobinHumansHypoglycemic AgentsInsulinInsulin Infusion SystemsMalePubertyBlood GlucoseGlycated HemoglobinHypoglycemic AgentsInsulin

Identifiers

PMID31308020
PMCPMC6925575
OpenAlexW2961590930

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.