Evidence map›Paper›PMID 30397671›Full record

ArticleBMJ paediatrics open2018

Assessment of the performance of blood glucose monitoring systems for monitoring dysglycaemia in neonatal patients.

Yin Ba, Jin Xu, Lin Yuan, Haiyan Zhu, Yipei Yang, Mei Mei Lam, Shulian Zhang, Mili Xiao, Jiayin Xu, Rong Zhang and 1 more

Open access · diamondAbstract read
In one paragraph

Article in BMJ paediatrics open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 31% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

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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

11 authors at 1 institution in 1 country.

Yin Ba *Department of Neonatology, Children's Hospital of Fudan University, Shanghai, China.ORCID 0000-0002-2504-3360
Jin Xu *Department of Clinical Laboratory, Children's Hospital of Fudan University, Shanghai, China.
Lin YuanDepartment of Neonatology, Children's Hospital of Fudan University, Shanghai, China.
Haiyan ZhuDepartment of Clinical Laboratory, Children's Hospital of Fudan University, Shanghai, China.
Yipei YangDepartment of Neonatology, Children's Hospital of Fudan University, Shanghai, China.
Mei Mei LamDepartment of Neonatology, Children's Hospital of Fudan University, Shanghai, China.
Shulian ZhangDepartment of Neonatology, Children's Hospital of Fudan University, Shanghai, China.
Mili XiaoDepartment of Neonatology, Children's Hospital of Fudan University, Shanghai, China.
Jiayin XuDepartment of Clinical Laboratory, Children's Hospital of Fudan University, Shanghai, China.
Rong ZhangDepartment of Neonatology, Children's Hospital of Fudan University, Shanghai, China.
Chao ChenDepartment of Neonatology, Children's Hospital of Fudan University, Shanghai, China.
Children's Hospital of Fudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo validate a three-step protocol that assesses the clinical risk associated with using blood glucose monitoring systems (BGMS) in neonates for the management of dysglycaemia.

methodThe three-step validation approach included confirmation of the accuracy of the reference method using National Institute of Standards and Technology (NIST) glucose standards, assessment of analytical risk performed on whole blood collected from paediatric patients routinely tested for glucose and a clinical risk assessment performed using heel stick capillary samples collected from 147 new-born babies and neonates admitted to intensive care. BGMS glucose measurements were compared with the NIST aligned laboratory reference method.

resultsThe accuracy of the laboratory reference method was confirmed with the NIST standards. Specificity studies demonstrated that the accuracy of one of the BGMS was affected, particularly, in the hypoglycaemic range, by known interference factors including haematocrit, ascorbic acid, lactose, galactose, N-acetylcysteine and glutathione. The accuracy of the other BGMS was unaffected. The clinical performance of this BGMS in neonates met the system accuracy criteria of Clinical and Laboratory Standards Institute (CLSI) POCT 12-A3 standard for evaluating hospital BGMS with 95.1% of glucose measurements within±0.67 mmol/L for samples ≤5.55 mmol/L and 95.6% within±12.5% for samples>5.55 mmol/L.

conclusionsThis three-step validation protocol provides a challenging approach for determining the accuracy and reliability of BGMS for managing dysglycaemia in neonates. StatStrip BGMS achieved analytical and clinical performance criteria confirming its suitability for use in neonates. We advocate that this validation approach should be considered for performance evaluations of both BGMS and continuous glucose monitoring systems going forward.

Indexed as

blood glucose monitoringdysglycaemiaisotope dilution Liquid Chromatography Mass Spectrometryneonates

Identifiers

PMID30397671
PMCPMC6203032
OpenAlexW2897267410

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.