Evidence map›Paper›PMID 27697848›Full record

ArticleJournal of diabetes science and technology2017

Comparative Accuracy of 17 Point-of-Care Glucose Meters.

Laya Ekhlaspour, Debbie Mondesir, Norman Lautsch, Courtney Balliro, Mallory Hillard, Kendra Magyar, Laura Goergen Radocchia, Aryan Esmaeili, Manasi Sinha, Steven J Russell

2 registry-linked trialsAbstract readComparative Study
In one paragraph

Article in Journal of diabetes science and technology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 60 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed, 1 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.

NCT04313803 unknown statusnot on this mapstarted 2020, after this paper: background citation

Expanding Continuous CGM Usage to Improve Outcomes in a Shorter Duration in Utah Valley Clinics

TypeobservationalSponsorIntermountain Health Care, Inc.Ran2020 to 2021Enrolled1,500ConditionsDiabetes Mellitus, Diabetes Mellitus, Type 2, DiabetesArmsCGM
NCT04413578 phase4completednot on this mapstarted 2018, after this paper: background citation

Assessing the Feasibility of Continuous Glucose Monitoring in Reimagine Primary Care Clinics

TypeinterventionalSponsorIntermountain Health Care, Inc.Ran2018 to 2019Enrolled101ConditionsDiabetes Mellitus, Type 2ArmsDexcom G6, Contour NextOne
3 · Its place in the literature

Who cites it

60 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Review
  5. Article
  6. Validation of Point-of-care Testing Device HemoCue® Glucose 201RT in Blood Glucose Estimation.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine · 2026
    Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Managing discordance between HbADiabetic medicine : a journal of the British Diabetic Association · 2025
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. A Veteran Presenting With Symptomatic Postprandial Episodes.Federal practitioner : for the health care professionals of the VA, DoD, and PHS · 2025
    Article
  19. Article
  20. 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

10 authors.

Laya Ekhlaspour1 Massachusetts General Hospital Diabetes Research Center, Boston, MA, USA.
Debbie Mondesir1 Massachusetts General Hospital Diabetes Research Center, Boston, MA, USA.
Norman Lautsch1 Massachusetts General Hospital Diabetes Research Center, Boston, MA, USA.
Courtney Balliro1 Massachusetts General Hospital Diabetes Research Center, Boston, MA, USA.
Mallory Hillard1 Massachusetts General Hospital Diabetes Research Center, Boston, MA, USA.
Kendra Magyar1 Massachusetts General Hospital Diabetes Research Center, Boston, MA, USA.
Laura Goergen Radocchia1 Massachusetts General Hospital Diabetes Research Center, Boston, MA, USA.
Aryan Esmaeili1 Massachusetts General Hospital Diabetes Research Center, Boston, MA, USA.
Manasi Sinha1 Massachusetts General Hospital Diabetes Research Center, Boston, MA, USA.
Steven J Russell1 Massachusetts General Hospital Diabetes Research Center, Boston, MA, USA.

Funding

TRAINING PROGRAM IN ENDOCRINOLOGY AND DIABETEST32DK007028 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI Karen K Miller · 1986 to 2026
$18.5M
Translatioanl studies of a bionic pancreas for out-patient diabetes managementR01DK097657 · NIDDK · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI DAMIANO, EDWARD, RUSSELL, STEVEN J · 2013 to 2015
$2.5M
NIDDK NIH HHS R01 DK097657NIDDK NIH HHS T32 DK007028
6 · The paper itself

Abstract

backgroundThe accuracy of point-of-care blood glucose (BG) meters is important for the detection of dysglycemia, calculation of insulin doses, and the calibration of continuous glucose monitors. The objective of this study was to compare the accuracy of commercially available glucose meters in a challenging laboratory study using samples with a wide range of reference BG and hemoglobin values.

methodsFresh, discarded blood samples from a hospital STAT laboratory were either used without modification, spiked with a glucose solution, or incubated at 37°C to produce 347 samples with an even distribution across reference BG levels from 20 to 440 mg/dl and hemoglobin values from 9 to 16 g/dl. We measured the BG of each sample with 17 different commercially available glucose meters and the reference method (YSI 2300) at the same time. We determined the mean absolute relative difference (MARD) for each glucose meter, overall and stratified by reference BG and by hemoglobin level.

resultsThe accuracy of different meters widely, exhibiting a range of MARDs from 5.6% to 20.8%. Accuracy was lower in the hypoglycemic range, but was not consistently lower in samples with anemic blood hemoglobin levels.

conclusionsThe accuracy of commercially available glucose meters varies widely. Although the sample mix in this study was much more challenging than those that would be collected under most use conditions, some meters were robust to these challenges and exhibited high accuracy in this setting. These data on relative accuracy and robustness to challenging samples may be useful in informing the choice of a glucose meter.

Indexed as

Blood GlucoseBlood Glucose Self-MonitoringData AccuracyHumansReproducibility of ResultsBlood Glucoseaccuracyblood glucosediabetesglucose meterhemoglobinMARDplasma glucose

Identifiers

PMID27697848
PMCPMC5505415

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.