Evidence map›Paper›PMID 32430994›Full record

ArticleJournal of clinical laboratory analysis2020

Performance evaluation of three i-SENS glucometers using arterial blood samples compared with the YSI 2300 Glucose Analyzer.

Ha Nui Kim, Kyung Chul Moon, Soo-Young Yoon

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical laboratory analysis, 2020. 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
0.1field-weighted citation impact, top 50% 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.

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, 5 citations in OpenAlex.

  1. Article
  2. Review
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

3 authors at 1 institution in 1 country.

Ha Nui KimDepartment of Laboratory Medicine, Korea University Guro Hospital, Seoul, Korea.ORCID https://orcid.org/0000-0003-1928-7411
Kyung Chul MoonDepartment of Laboratory Medicine, Korea University Guro Hospital, Seoul, Korea.ORCID https://orcid.org/0000-0001-6072-261X
Soo-Young YoonDepartment of Laboratory Medicine, Korea University Guro Hospital, Seoul, Korea.ORCID https://orcid.org/0000-0002-2302-3825
Korea University Medical Center · KR

Funding

Korean Health Technology R&D Project, Ministry of Health & Welfare H15C1512
6 · The paper itself

Abstract

backgroundCapillary blood is the most commonly used sample for point-of-care (POC) glucometers. However, in critically ill patients, the glucose levels measured from capillary blood may not be reliable. Thus, we aimed to evaluate and compare the accuracy of glucose levels measured with POC glucometers and the YSI 2300 glucose analyzer using leftover arterial blood samples.

methodsIn total, 100 leftover heparinized arterial blood samples were used to evaluate the performance of three i-SENS glucometers (BAROzen H Expert plus, CareSens PRO, and CareSens H Beat) and the ACCU-CHEK

resultsMore than 95% of results obtained using POC glucometers were within ±15 mg/dL of the reference value for glucose concentrations <100 mg/dL and within ±15% of the reference value for glucose concentrations ≥100 mg/dL. In the consensus error grid analysis, more than 99% of results were found to be within zones A and B. An excellent correlation was found between the values obtained using POC glucometers and the YSI 2300 glucose analyzer (R

conclusionThe i-SENS glucometers showed stable and accurate results when leftover arterial blood samples were used. Therefore, POC glucometers could be useful in critical care settings, such as intensive care units, where arterial samples are routinely used.

Indexed as

Blood Chemical AnalysisBlood GlucoseCritical IllnessHumansPoint-of-Care TestingRetrospective StudiesBlood Glucosearterial blood i-SENSglucometerPOCTpoint-of-care

Identifiers

PMID32430994
PMCPMC7439437
OpenAlexW3027960774

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.