Evidence map›Paper›PMID 24843568›Full record

ReviewJournal of diabetes investigation2012

Continuous glucose monitoring system: Is it really accurate, safe and clinically useful?

Junko Sato, Takahisa Hirose, Hirotaka Watada

Open access · bronzeAbstract readReview
In one paragraph

Review in Journal of diabetes investigation, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 32% 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

5 citing papers in PubMed, 12 citations in OpenAlex.

  1. Trial
  2. Glucose as a Biomarker for Stress in Firefighters.Journal of occupational and environmental medicine · 2026
    Article
  3. Article
  4. Article
  5. 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

3 authors at 1 institution in 1 country.

Junko SatoDepartment of Metabolism and Endocrinology, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Takahisa HiroseDepartment of Metabolism and Endocrinology, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Hirotaka WatadaDepartment of Metabolism and Endocrinology, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Juntendo University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The continuous glucose monitoring system (CGM) has been used for constant checking of glucose level by measuring interstitial glucose concentrations, since the early days of the 21st century. It can potentially improve diabetes care if used carefully with the understanding of the characteristics of this system. Although there is a time lag of approximately 5-15 min between blood and interstitial glucose levels, the system is considered the most suitable device for meticulous glucose control and prevention of hypoglycemia. A large number of studies have examined its accuracy, safety and clinical effectiveness. The continuous glucose-error grid analysis (CG-EGA), designed by WL Clarke, evaluates the clinical accuracy of CGM. It examines 'temporal' characteristics of the data, analyzing pairs of reference and sensor readings as a process in time represented by a 'bidimensional' time series and taking into account inherent physiological time lags. Investment in CG-EGA is clearly meaningful, even though there are other methodologies for evaluation. The use of each method complementarily is the most effective way to prove the accuracy of the device. The device has improved gradually, and real-time CGM, which allows real-time monitoring of blood glucose level, is already available commercially. The use of real-time CGM could potentially lead to over- or undertreatment with insulin. Patient education through proper and effective handling of the new device is essential to improve diabetes care. (J Diabetes Invest, doi: 10.1111/j.2040-1124.2012.00197.x, 2012).

Indexed as

Continuous glucose‐error grid analysisContinuous glucose monitoring systemPatient education

Identifiers

PMID24843568
PMCPMC4014941
OpenAlexW1915068929

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.