Evidence map›Paper›PMID 25990294›Full record

ReviewJournal of diabetes science and technology2015

Performance of Cleared Blood Glucose Monitors.

David C Klonoff, Priya Prahalad

Abstract readReview
In one paragraph

Review 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. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
–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.

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

31 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Review
  4. Article
  5. Article
  6. Article
  7. Suicide and Self-inflicted Injury in Diabetes: A Balancing Act.Journal of diabetes science and technology · 2020
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Diabetes Technological Revolution: Winners and Losers?Journal of diabetes science and technology · 2018
    Article
  15. Article
  16. The Financial Impact of Inaccurate Blood Glucose Monitoring Systems.Journal of diabetes science and technology · 2018
    Article
  17. Article
  18. 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

2 authors.

David C KlonoffDiabetes Research Institute, Mills-Peninsula Health Services, San Mateo, CA, USA dklonoff@diabetestechnology.org.
Priya PrahaladDivision of Pediatric Endocrinology, University of California, San Francisco, San Francisco, CA, USA.

Funding

Training Program in Pediatric EndocrinologyT32DK007161 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Brian J Feldman, STEPHEN E GITELMAN · 1986 to 2026
$6.2M
NIDDK NIH HHS T32 DK007161
6 · The paper itself

Abstract

Cleared blood glucose monitor (BGM) systems do not always perform as accurately for users as they did to become cleared. We performed a literature review of recent publications between 2010 and 2014 that present data about the frequency of inaccurate performance using ISO 15197 2003 and ISO 15197 2013 as target standards. We performed an additional literature review of publications that present data about the clinical and economic risks of inaccurate BGMs for making treatment decisions or calibrating continuous glucose monitors (CGMs). We found 11 publications describing performance of 98 unique BGM systems. 53 of these 98 (54%) systems met ISO 15197 2003 and 31 of the 98 (32%) tested systems met ISO 15197 2013 analytical accuracy standards in all studies in which they were evaluated. Of the tested systems, 33 were identified by us as FDA-cleared. Among these FDA-cleared BGM systems, 24 out of 32 (75%) met ISO 15197 2003 and 15 out of 31 (48.3%) met ISO 15197 2013 in all studies in which they were evaluated. Among the non-FDA-cleared BGM systems, 29 of 65 (45%) met ISO 15197 2003 and 15 out of 65 (23%) met ISO 15197 2013 in all studies in which they were evaluated. It is more likely that an FDA-cleared BGM system, compared to a non-FDA-cleared BGM system, will perform according to ISO 15197 2003 (χ(2) = 6.2, df = 3, P = 0.04) and ISO 15197 2013 (χ(2) = 11.4, df = 3, P = 0.003). We identified 7 articles about clinical risks and 3 articles about economic risks of inaccurate BGMs. We conclude that a significant proportion of cleared BGMs do not perform at the level for which they were cleared or according to international standards of accuracy. Such poor performance leads to adverse clinical and economic consequences.

Indexed as

AlgorithmsBlood GlucoseBlood Glucose Self-MonitoringCalibrationDiabetes MellitusHumansInsulinProduct Surveillance, PostmarketingReference StandardsReproducibility of ResultsUnited StatesUnited States Food and Drug AdministrationBlood GlucoseInsulinaccuracyBG monitorFDAglucoseISOperformance

Identifiers

PMID25990294
PMCPMC4525666

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.