Evidence map›Paper›PMID 30121746›Full record

ReviewCurrent diabetes reports2018

Prevention and Management of Severe Hypoglycemia and Hypoglycemia Unawareness: Incorporating Sensor Technology.

Paola Lucidi, Francesca Porcellati, Geremia B Bolli, Carmine G Fanelli

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current diabetes reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

14 citing papers in PubMed, 36 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Review
  9. Glycemic Status Assessment by the Latest Glucose Monitoring Technologies.International journal of molecular sciences · 2020
    Review
  10. The Changing Landscape of Glycemic Targets: Focus on Continuous Glucose Monitoring.Clinical diabetes : a publication of the American Diabetes Association · 2020
    Article
  11. Therapeutic Use of Intranasal Glucagon: Resolution of Hypoglycemia.International journal of molecular sciences · 2019
    Review
  12. Article
  13. Article
  14. 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 at 1 institution in 1 country.

Paola LucidiDepartment of Medicine, Section of Endocrinology and Metabolic Diseases, University di Perugia, Piazzale Gambuli, 1, 06132, Perugia, Italy.
Francesca PorcellatiDepartment of Medicine, Section of Endocrinology and Metabolic Diseases, University di Perugia, Piazzale Gambuli, 1, 06132, Perugia, Italy.
Geremia B BolliDepartment of Medicine, Section of Endocrinology and Metabolic Diseases, University di Perugia, Piazzale Gambuli, 1, 06132, Perugia, Italy.
Carmine G FanelliDepartment of Medicine, Section of Endocrinology and Metabolic Diseases, University di Perugia, Piazzale Gambuli, 1, 06132, Perugia, Italy. carmine.fanelli@unipg.it.
University of Perugia · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewIn addition to assisting in achieving improved glucose control, continuous glucose monitoring (CGM) sensor technology may also aid in detection and prevention of hypoglycemia. In this paper, we report on the current scientific evidence on the effectiveness of this technology in the prevention of severe hypoglycemia and hypoglycemia unawareness. RECENT

findingsRecent studies have found that the integration of CGM with continuous subcutaneous insulin infusion (CSII) therapy, a system known as sensor-augmented pump (SAP) therapy, very significantly reduces the occurrence of these conditions by providing real-time glucose readings/trends and automatically suspending insulin infusion when glucose is low (LGS) or, even, before glucose is low but is predicted to soon be low (PLGS). Initial data indicate that even for patients with type 1 diabetes treated with multiple daily injections, real-time CGM alone has been found to reduce both severe hypoglycemia and hypoglycemia unawareness. Closed loop systems (artificial pancreas) comprised of CGM and CSII without patient intervention to adjust basal insulin, which automatically reduce, increase, and suspend insulin delivery, represent a potential new option that is moving toward becoming a reality in the near future. Sensor technology promises to continue to improve patients' lives not only by attaining glycemic control but also by reducing hypoglycemia, a goal best achieved in conjunction with structured individualized patient education.

Indexed as

Health Knowledge, Attitudes, PracticeBlood GlucoseBlood Glucose Self-MonitoringHumansHypoglycemiaInsulinMonitoring, PhysiologicBlood GlucoseInsulinContinuous glucose monitoring system (CGMS)CounterregulationHypoglycemiaHypoglycemia unawarenessIntensive insulin therapySensing

Identifiers

PMID30121746
OpenAlexW2885343258

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.