Evidence map›Paper›PMID 25370149›Full record

Trial reportJournal of diabetes science and technology2015

Clinical accuracy of a continuous glucose monitoring system with an advanced algorithm.

Timothy S Bailey, Anna Chang, Mark Christiansen

3 registry-linked trialsAbstract readClinical TrialMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Trial report in Journal of diabetes science and technology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 73 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
73citing papers in PubMed, 3 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.

NCT03196895 nacompletednot on this mapstarted 2017, after this paper: background citation

Treating Type 2 Diabetes by Reducing Postprandial Glucose Elevations: A Paradigm Shift in Lifestyle Modification

TypeinterventionalSponsorUniversity of VirginiaRan2017 to 2020Enrolled192ConditionsDiabetes Mellitus, Type 2ArmsWeight reduction training, PPG training, discrete BG feedback, continuous BG feedback
NCT03207893 nacompletednot on this mapstarted 2018, after this paper: background citation

Benefits of Adding Continuous Glucose Monitoring to Glycemic Load, Exercise, and Monitoring of Blood Glucose (GEM) for Adults With Type 2 Diabetes - Phase 2

TypeinterventionalSponsorUniversity of VirginiaRan2018 to 2020Enrolled24ConditionsDiabetes Mellitus, Type 2ArmsGEM lifestyle modification & continuous glucose monitoring, Routine Care
NCT04696159 naactive not recruitingnot on this mapstarted 2023, after this paper: background citation

Impact of Endoscopic Per-Oral Pyloromyotomy (POP) on Glycemic Control in Gastroparesis Patients With Poorly Controlled Diabetes Mellitus

TypeinterventionalSponsorMatthew AllemangRan2023 to 2027Enrolled40ConditionsDiabetes Mellitus, Gastroparesis With Diabetes Mellitus, GastroparesisArmsPyloromyotomy
3 · Its place in the literature

Who cites it

73 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Tissue Response to Subcutaneous Infusion Catheter.Journal of diabetes science and technology · 2020
    Pooled it
  4. Trial
  5. Trial
  6. Trial
  7. Trial
  8. Trial
  9. Trial
  10. Trial
  11. Trial
  12. Trial
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Review

13 more citing papers are in PubMed but not listed here.

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.

Timothy S BaileyAMCR Institute, Escondido, CA, USA tbailey@amcrinstitute.com.
Anna ChangJohn Muir Physician Network Clinical Research Center, Concord, CA, USA.
Mark ChristiansenDiablo Clinical Research Inc, Walnut Creek, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We assessed the performance of a modified Dexcom G4 Platinum system with an advanced algorithm, in comparison with frequent venous samples measured on a laboratory reference (YSI) during a clinic session and in comparison to self-monitored blood glucose (SMBG) during home use. Fifty-one subjects with diabetes were enrolled in a prospective multicenter study. Subjects wore 1 sensor for 7-day use and participated in one 12-hour in-clinic session on day 1, 4, or 7 to collect YSI reference venous glucose every 15 minutes and capillary SMBG test every 30 minutes. Carbohydrate consumption and insulin dosing and timing were manipulated to obtain data in low and high glucose ranges. In comparison with the laboratory reference method (n = 2,263) the system provided a mean and median absolute relative differences (ARD) of 9.0% and 7.0%, respectively. The mean absolute difference for CGM was 6.4 mg/dL when the YSIs were within hypoglycemia ranges (≤ 70 mg/dL). The percentage in the clinically accurate Clarke error grid A zone was 92.4% and in the benign error B zone was 7.1%. Majority of the sensors (73%) had an aggregated MARD in reference to YSI ≤ 10%. The MARD of CGM-SMBG for home use was 11.3%. The study showed that the point and rate accuracy, clinical accuracy, reliability, and consistency over the duration of wear and across glycemic ranges were superior to current commercial real-time CGM systems. The performance of this CGM is reaching that of a self-monitoring blood glucose meter in real use environment.

Indexed as

AlgorithmsAdultAgedAged, 80 and overBlood GlucoseBlood Glucose Self-MonitoringDiabetes MellitusFemaleHumansMaleMiddle AgedYoung AdultBlood Glucoseadvanced algorithmclinical accuracycontinuous glucose monitoring

Identifiers

PMID25370149
PMCPMC4604574

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

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.