Evidence map›Paper›PMID 29923775›Full record

ArticleDiabetes technology & therapeutics2018

Performance of a Factory-Calibrated Real-Time Continuous Glucose Monitoring System Utilizing an Automated Sensor Applicator.

Viral N Shah, Lori M Laffel, R Paul Wadwa, Satish K Garg

Registry-linked trialOpen access · greenAbstract read
In one paragraph

Article in Diabetes technology & therapeutics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07251257 (The Seafarers' Continuous Glucose Monitoring Systems Study), which is not on this map. Cited by 97 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
97citing papers in PubMed, 3 pooled it
13.8field-weighted citation impact, top 1% 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.

NCT07251257 recruitingnot on this mapstarted 2025, after this paper: background citation

The Seafarers' Continuous Glucose Monitoring Systems Study

Typeobservational_patient_registrySponsorUniversity of SurreyRan2025 to 2027Enrolled50ConditionsInsulin Dependent Diabetes
3 · Its place in the literature

Who cites it

97 citing papers in PubMed, 3 syntheses or guidelines pooled it, 182 citations in OpenAlex.

  1. Pooled it
  2. Guideline
  3. Pooled it
  4. Trial
  5. Trial
  6. Trial
  7. Trial
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review

37 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

4 authors at 1 institution in 1 country.

Viral N Shah1 Department of Medicine & Pediatrics, University of Colorado Anschutz Medical Campus, Barbara Davis Center for Diabetes , Aurora, Colorado.
Lori M Laffel2 Joslin Diabetes Center, Harvard Medical School , Boston, Massachusetts.
R Paul Wadwa1 Department of Medicine & Pediatrics, University of Colorado Anschutz Medical Campus, Barbara Davis Center for Diabetes , Aurora, Colorado.
Satish K Garg1 Department of Medicine & Pediatrics, University of Colorado Anschutz Medical Campus, Barbara Davis Center for Diabetes , Aurora, Colorado.
Harvard University · US

Funding

SPECIAL ASSAY COREP30DK036836 · NIDDK · JOSLIN DIABETES CENTER · PI JEAN E. SCHAFFER · 1986 to 2026
$50.5M
NIDDK NIH HHS P30 DK036836
6 · The paper itself

Abstract

backgroundThis study assessed the accuracy of a factory-calibrated 10-day real-time continuous glucose monitoring (CGM) system (G6), which includes an automated sensor applicator.

methodsSeventy-six participants with insulin-treated diabetes were enrolled at four U.S. sites as part of a larger study of G6 system performance. In-clinic visits for frequent comparative blood glucose measurements using a reference instrument (YSI) were conducted on days 1, 4-5, 7, and/or 10 of system use. Accuracy evaluation included the proportion of CGM values that were within ±20% of YSI reference value for glucose levels >100 mg/dL and ±20 mg/dL for YSI glucose levels ≤100 mg/dL (%20/20), the analogous %15/15 and %30/30, and the mean absolute relative difference (MARD) between temporally matched CGM and YSI values. Participants calibrated the systems once daily. Raw sensor data were reprocessed using assigned sensor codes and a factory-calibration algorithm.

resultsReprocessed data from 62 participants (25 adults and 37 children and adolescents of ages 6-17 years; 3532 YSI-CGM pairs) were analyzed. The G6 system's overall %20/20 was 93.9% (adults, 92.5%; children and adolescents, 96.2%), its %15/15 was 83.3% (adults, 78.3%; children and adolescents, 91.1%), and its MARD was 9.0% (adults, 9.8%; children and adolescents, 7.7%). Overall day-1 %20/20 accuracy was 92.2%, %15/15 was 81.5%, and MARD was 9.3%. Accuracy was maintained across 10 days of use and various glucose concentration ranges in both adults and children and adolescents.

conclusionsThe G6 system utilizing an automated sensor applicator provides accurate glucose readings in adults and children and adolescents throughout the 10-day sensor life.

Indexed as

AdolescentAdultBlood GlucoseBlood Glucose Self-MonitoringCalibrationChildComputer SystemsDiabetes Mellitus, Type 1Diabetes Mellitus, Type 2FemaleHumansMaleMiddle AgedReference ValuesReproducibility of ResultsYoung AdultBlood GlucoseAdvanced algorithmClinical accuracyContinuous glucose monitoringFactory-calibratedGlucose sensor performanceMARD

Identifiers

PMID29923775
PMCPMC6422005
OpenAlexW2809055900

What OpenQuestion 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 OpenQuestion graph.