Evidence map›Paper›PMID 39853836›Full record

ArticleDiabetes, obesity & metabolism2025

Evaluation of the analytical and clinical accuracy of four blood glucose meters in pregnant women with hyperglycaemia.

Jincy Immanuel, Tobias Kongbrailatpam, Rohit Rajagopal, David Simmons

Abstract readEvaluation StudyComparative Study
In one paragraph

Article in Diabetes, obesity & metabolism, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. 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

4 authors.

Jincy ImmanuelSchool of Medicine, Western Sydney University, Campbelltown, New South Wales, Australia.ORCID 0000-0003-2020-4791
Tobias KongbrailatpamSchool of Medicine, Western Sydney University, Campbelltown, New South Wales, Australia.
Rohit RajagopalDepartment of Endocrinology, Campbelltown Hospital, Sydney, New South Wales, Australia.
David SimmonsSchool of Medicine, Western Sydney University, Campbelltown, New South Wales, Australia.

Funding

Ascensia Diabetes Care (Educational grant)The Australasian Diabetes in Pregnancy Society (ADIPS Novo Nordisk Research Program 2021)
6 · The paper itself

Abstract

aimsPhysiological changes during pregnancy can infuence the performance of blood glucose meters. This study aimed to evaluate the analytical and clinical accuracy of glucose meters in pregnant women with hyperglycaemia. MATERIALS AND

methodsGlucose was measured by four commonly used meters among consecutive women with diabetes in pregnancy. Capillary and venous samples were collected concurrently and compared with i-STAT (amperometry) and laboratory (hexokinase) glucose as reference methods. Bland-Altman plot, International Organization for Standardization criteria, surveillance error grid (SEG) and haematocrit influence were assessed.

resultsIn total, 824 paired samples from 103 women were analysed (GDM 57%, mean i-STAT capillary glucose 6.7 ± 2.3 mmol/L [121 ± 41 mg/dL], laboratory glucose 6.6 ± 2.4 mmol/L [119 ± 43 mg/dL], median haematocrit 0.36 L/L). Mean capillary glucose measured on all meters was significantly different from that measured on i-STAT (all p < 0.001), whereas venous glucose measured on Contour Next, Accu-Chek Guide and the laboratory (plasma) was similar. Contour Next had the lowest bias when using both reference methods (mean bias [95% limits of agreement] meter vs. i-STAT: Contour Next 1.3% [-8% to 10.6%], Accu-Chek Guide -3.2% [-11.4% to 5%], FreeStyle Optium Neo -11.9% [-24.7% to 0.8%] and LifeSmart 6.8% [-5.8% to 19.4%]; meter versus laboratory: -0.2% [-8.1% to 7.7%], -0.2% [-10.2% to 9.8%], -3.8% [-17.6% to 10%] and 6.1% [-5.9% to 18.2%]), respectively. Only Contour Next and Accu-Chek Guide had ≥97% of pairs within the SEG no-risk zone during both comparisons. Meters did not show haematocrit-related bias.

conclusionsAccuracy of meters was higher when using venous samples than when using capillary samples. Contour Next and Accu-Chek Guide meters met accuracy standards in all analyses.

Indexed as

Blood GlucoseBlood Glucose Self-MonitoringDiabetes, GestationalHyperglycemiaPregnancy in DiabeticsAdultFemaleHumansPregnancyReproducibility of ResultsBlood GlucoseaccuracyBland–Altman plotblood glucose metershaematocritpregnancysurveillance error grid

Identifiers

PMID39853836
PMCPMC11885108

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.