Evidence map›Paper›PMID 31694397›Full record

ArticleJournal of diabetes science and technology2020

A Simulation Study to Assess the Effect of Analytic Error on Neonatal Glucose Measurements Using the Canadian Pediatric Society Position Statement Action Thresholds.

Mark Inman, Kayla Parker, Lannae Strueby, Andrew W Lyon, Martha E Lyon

Open access · bronzeAbstract read
In one paragraph

Article in Journal of diabetes science and technology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 27% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

5 authors at 2 institutions in 1 country.

Mark InmanDepartment of Pediatrics, University of Saskatchewan, Saskatoon, SK, Canada.
Kayla ParkerDepartment of Pediatrics, University of Saskatchewan, Saskatoon, SK, Canada.
Lannae StruebyDepartment of Pediatrics, University of Saskatchewan, Saskatoon, SK, Canada.
Andrew W LyonDivision of Clinical Biochemistry, Department of Pathology and Laboratory Medicine, Saskatchewan Health Authority, Royal University Hospital, Saskatoon, SK, Canada.ORCID 0000-0001-6975-815X
Martha E LyonDivision of Clinical Biochemistry, Department of Pathology and Laboratory Medicine, Saskatchewan Health Authority, Royal University Hospital, Saskatoon, SK, Canada.ORCID 0000-0002-4937-2943
University of Saskatchewan · CASaskatchewan Health Authority · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Canadian Pediatric Society (CPS) has endorsed an algorithm for the screening and immediate management of babies at risk of neonatal hypoglycemia that provides time-dependent glucose concentration action thresholds. The objective of this study was to evaluate the impact of glucose analytic error (bias and imprecision) on the misclassification of glucose meter results from a neonatal intensive care unit (NICU) using the CPS guidelines.

methodsA simulation dataset of true glucose values (

resultsMeasurement biases ranging from -20 to +20 mg/dL combined with coefficients of variation 0% to 20% were evaluated to predict misclassification rates at 32, 36, and 47 mg/dL. The models demonstrated low risk of false normoglycemia-at 5% CV and +10 mg/dL bias: 0.8% to 5% misclassification at the 32 and 47 mg/dL thresholds due to bias. The models demonstrated risk of false hypoglycemia-at 5% CV and -10 mg/dL bias: 3% to 12.5% misclassification at 32 and 47 mg/dL thresholds due to both bias and imprecision.

conclusionUsing CPS action thresholds, the simulation model predicted the proportion of neonates at risk of inappropriate clinical action-both of omission or "failure to treat" and commission or "overtreatment" in response to NICU glucose meter results at specific bias and imprecision values.

Indexed as

AlgorithmsBlood Chemical AnalysisBlood GlucoseHypoglycemiaNeonatal ScreeningPoint-of-Care TestingBiasBiomarkersComputer SimulationConsensus Statements as TopicHumansInfant, NewbornMonte Carlo MethodPredictive Value of TestsReproducibility of ResultsTime FactorsBiomarkersBlood Glucoseanalytic errorhypoglycemiaMonte Carlo simulationneonatepoint-of-care testing

Identifiers

PMID31694397
PMCPMC7576938
OpenAlexW2985171725

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.