Evidence map›Paper›PMID 32256447›Full record

ReviewFrontiers in endocrinology2020

Monitoring of Pediatric Type 1 Diabetes.

Brynn E Marks, Joseph I Wolfsdorf

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in endocrinology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
4.7field-weighted citation impact, top 4% 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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 52 citations in OpenAlex.

  1. Continuous glucose monitoring in type 2 diabetes: a systematic review of barriers and opportunities for care improvement.International journal for quality in health care : journal of the International Society for Quality in Health Care · 2025
    Pooled it
  2. Pediatric Type 1 Diabetes Care in Indonesia: A Review of Current Challenges and PracticeJournal of clinical research in pediatric endocrinology · 2025
    Review
  3. Article
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  6. Review
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  14. Observational
  15. Endocrine Complications of Cystic Fibrosis.Clinics in chest medicine · 2022
    Review
  16. Review
  17. Article
  18. Article
  19. Cystic fibrosis-related diabetes: The patient perspective.Journal of clinical & translational endocrinology · 2021
    Article
  20. 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

2 authors at 2 institutions in 1 country.

Brynn E MarksDivision of Endocrinology and Diabetes, Children's National Hospital, Washington, DC, United States.
Joseph I WolfsdorfDivision of Endocrinology, Boston Children's Hospital, Boston, MA, United States.
Boston Children's Hospital · USChildren's National · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Regular self-monitoring of blood glucose levels, and ketones when indicated, is an essential component of type 1 diabetes (T1D) management. Although fingerstick blood glucose monitoring has been the standard of care for decades, ongoing rapid technological developments have resulted in increasingly widespread use of continuous glucose monitoring (CGM). This article reviews recommendations for self-monitoring of glucose and ketones in pediatric T1D with particular emphasis on CGM and factors that impact the accuracy and real-world use of this technology.

Indexed as

Age FactorsAge of OnsetBlood GlucoseBlood Glucose Self-MonitoringChildDiabetes Mellitus, Type 1HumansMonitoring, PhysiologicPediatricsBlood Glucoseblood glucose self monitoringcontinuous glucose monitordiabetes managementketonetype 1 diabetes (T1D)

Identifiers

PMID32256447
PMCPMC7089921
OpenAlexW3012089471

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.