Evidence map›Paper›PMID 24876432›Full record

ArticleJournal of diabetes science and technology2014

Clinical evaluation of a novel on-strip calibration method for blood glucose measurement.

Michael Noble, John Rippeth, David Edington, Gerry Rayman, Sarah Brandon-Jones, Zoe Hollowood, Simon Kew

Abstract readEvaluation Study
In one paragraph

Article in Journal of diabetes science and technology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Michael NobleExacsys Ltd, Cambridge Technology Centre, Melbourn, UK michael.noble@exacsys.co.uk.
John RippethExacsys Ltd, Cambridge Technology Centre, Melbourn, UK.
David EdingtonExacsys Ltd, Cambridge Technology Centre, Melbourn, UK.
Gerry RaymanIpswich Hospital NHS Trust, Diabetes Research Centre, Ipswich Hospital National Health Service Trust, Suffolk, UK.
Sarah Brandon-JonesPA Consulting Group, Cambridge Technology Centre, Melbourn, UK.
Zoe HollowoodPA Consulting Group, Cambridge Technology Centre, Melbourn, UK.
Simon KewPA Consulting Group, Cambridge Technology Centre, Melbourn, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study evaluated a novel technology for improving accuracy of self-monitoring of blood glucose (SMBG). The technology calibrates each and every test by measuring the response from a predetermined amount of glucose present in the sample chamber of each test strip. SMBG test strips were modified to include a lid coated with a fast dissolving formulation containing glucose. These test strips were characterized for hematocrit (Hct) and temperature induced error response to develop a calibration algorithm. The modified test strips were used in a clinical evaluation involving fingerstick blood samples from 160 subjects. Experiments involving Hct and temperature induced errors show that the technology generates a signal characteristic of the error conditions in any particular test, but independent of glucose concentration, allowing a correction algorithm to be derived. The approach substantially reduced Hct and temperature derived errors. Clinical evaluation using fingerstick blood directly applied to prototype strips showed the error (measured as MARD) was reduced from 11.1 to 5.9% by the on-strip correction approach and the number of outliers reduced by approximately 90%. This technology could improve the accuracy and precision of glucose monitoring systems and so reduce decision errors particularly in clinical situations where hematocrit and temperature may be significant confounders.

Indexed as

Reagent StripsAlgorithmsBlood GlucoseBlood Glucose Self-MonitoringCalibrationHematocritHumansReproducibility of ResultsTemperatureBlood GlucoseReagent Stripsaccuracyblood glucose monitoringerrorhematocrit

Identifiers

PMID24876432
PMCPMC4764217

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.