Evidence map›Paper›PMID 34149254›Full record

ArticleDiabetes spectrum : a publication of the American Diabetes Association2021

Beyond A1C: A Practical Approach to Interpreting and Optimizing Continuous Glucose Data in Youth.

Iman Al-Gadi, Sruthi Menon, Sarah K Lyons, Daniel J DeSalvo

Abstract read
In one paragraph

Article in Diabetes spectrum : a publication of the American Diabetes Association, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
  2. Article
  3. 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

4 authors.

Iman Al-GadiDepartment of Pediatrics, Section of Diabetes and Endocrinology, Baylor College of Medicine and Texas Children's Hospital, Houston, TX.
Sruthi MenonDepartment of Pediatrics, Section of Diabetes and Endocrinology, Baylor College of Medicine and Texas Children's Hospital, Houston, TX.
Sarah K LyonsDepartment of Pediatrics, Section of Diabetes and Endocrinology, Baylor College of Medicine and Texas Children's Hospital, Houston, TX.ORCID 0000-0002-3686-0112
Daniel J DeSalvoDepartment of Pediatrics, Section of Diabetes and Endocrinology, Baylor College of Medicine and Texas Children's Hospital, Houston, TX.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite significant pharmacological and technological advances in the treatment of type 1 diabetes, the majority of youth in the United States do not meet the American Diabetes Association's recommended A1C goal. Understanding and managing glycemic variability is important in children and adolescents. Because A1C provides an incomplete picture of day-to-day glycemic fluctuations, continuous glucose monitoring (CGM)-derived metrics are a promising addition to address glycemic management challenges in youth with diabetes. In this article, we discuss how to develop practical strategies to optimize the use of CGM in the pediatric population, interpret the valuable data it provides, and develop personalized and actionable treatment goals.

Identifiers

PMID34149254
PMCPMC8178721

What Socratic 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 Socratic graph.