Evidence map›Paper›PMID 27515311›Full record

ReviewCurrent diabetes reports2016

Management of Hypoglycemia in Children and Adolescents with Type 1 Diabetes Mellitus.

Dayna E McGill, Lynne L Levitsky

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current diabetes reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
2.2field-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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Practical Approaches to Diagnosing, Treating and Preventing Hypoglycemia in Diabetes.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2017
    Review
  12. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Dayna E McGillMassGeneral Hospital for Children, Joslin Diabetes Center, Harvard Medical School, 5th Floor, Pediatrics, 175 Cambridge Street, Boston, MA, 02114, USA.
Lynne L LevitskyDivision of Pediatric Endocrinology, MassGeneral Hospital for Children, Harvard Medical School, 5th Floor, Pediatrics, 175 Cambridge Street, Boston, MA, 02114, USA. LLevitsky@partners.org.
Massachusetts General Hospital · US

Funding

TRAINING IN DIABETES AND METABOLISMT32DK007260 · NIDDK · JOSLIN DIABETES CENTER · PI LAURIE J GOODYEAR · 1986 to 2026
$13.6M
NIDDK NIH HHS T32 DK007260
6 · The paper itself

Abstract

Hypoglycemia and fear of hypoglycemia limit appropriate glycemic control in many children and adolescents with type 1 diabetes. Traditional approaches to the prevention of hypoglycemia including patient education about modifiable risk factors for hypoglycemia (changes in insulin, diet, and exercise) and frequency of self glucose monitoring remain important for hypoglycemia prevention. Continuous glucose monitoring systems with or without a partial closed-loop control of insulin infusion have been very useful in the prevention of hypoglycemia. Oral carbohydrate and parenteral glucagon continue to be the mainstays of hypoglycemia treatment. In the future, we can look forward to regulatory approval of closed-loop insulin delivery and glucose monitoring systems to facilitate euglycemia, as well as glucagon administered by the intranasal route to treat hypoglycemia.

Indexed as

AdolescentBlood Glucose Self-MonitoringChildDiabetes Mellitus, Type 1ExerciseHumansHypoglycemiaPatient Education as TopicRisk FactorsContinuous glucose monitoringGlucagonHypoglycemiaInsulinType 1 diabetes

Identifiers

PMID27515311
OpenAlexW2515169402

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.