Evidence map›Paper›PMID 18157943›Full record

ArticleClinica chimica acta; international journal of clinical chemistry2008

Evaluation of point-of-care glucose testing accuracy using locally-smoothed median absolute difference curves.

Gerald J Kost, Nam K Tran, Victor J Abad, Richard F Louie

Abstract readEvaluation Study
In one paragraph

Article in Clinica chimica acta; international journal of clinical chemistry, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Utility of point-of-care vs reference laboratory testing for the evaluation of glucose levels.Diabetic medicine : a journal of the British Diabetic Association · 2019
    Article
  3. Article
  4. Computing the surveillance error grid analysis: procedure and examples.Journal of diabetes science and technology · 2014
    Article
  5. Article
  6. Article
  7. Article
  8. Analytical and clinical performance of blood glucose monitors.Journal of diabetes science and technology · 2010
    Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Global Standardization and Improved Technologies for Point-of-Care Glucose Testing.Clinica chimica acta; international journal of clinical chemistry · 2008
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Gerald J KostPoint-of-Care Testing Center for Teaching and Research (POCT-CTR), University of California, Davis, CA 95616, USA. gjkost@ucdavis.edu
Nam K Tran
Victor J Abad
Richard F Louie

Funding

Rapid Multipathogen Detection for POCT and National Diaster ReadinessU54EB007959 · NIBIB · UNIVERSITY OF CALIFORNIA AT DAVIS · PI KOST, GERALD JOSEPH · 2007 to 2011
$8.5M
NIBIB NIH HHS U54 EB 007959NIBIB NIH HHS U54 EB007959
6 · The paper itself

Abstract

backgroundWe introduce locally-smoothed (LS) median absolute difference (MAD) curves for the evaluation of hospital point-of-care (POC) glucose testing accuracy.

methodsArterial blood samples (613) were obtained from a university hospital blood gas laboratory. Four hospital glucose meter systems (GMS) were tested against the YSI 2300 glucose analyzer for paired reference observations. We made statistical comparisons using conventional methods (e.g., linear regression, mean absolute differences).

resultsDifference plots with superimposed ISO 15197 tolerance bands showed bias, scatter, heteroscedasticity, and erroneous results well. LS MAD curves readily revealed GMS accuracy patterns. Performance in hypoglycemic and hyperglycemic ranges erratically exceeded the recommended LS MAD error tolerance limit (5 mg/dl). Some systems showed acceptable (within LS MAD tolerance) or nearly acceptable performance in and around a tight glycemic control (TGC) interval of 80-110 mg/dl. Performance patterns varied in this interval, creating potential for discrepant therapeutic decisions.

conclusionsErroneous results demonstrated by ISO 15197-difference plots must be carefully considered. LS MAD curves draw on the unique human ability to recognize patterns quickly and discriminate accuracy visually. Performance standards should incorporate LS MAD curves and the recommended error tolerance limit of 5 mg/dl for hospital bedside glucose testing. Each GMS must be considered individually when assessing overall performance for therapeutic decision making in TGC.

Indexed as

Blood GlucoseHematocritHumansOxygenPoint-of-Care SystemsReference StandardsBlood GlucoseOxygen

Identifiers

PMID18157943
PMCPMC2613941

What OpenQuestion holds

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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.