Evidence map›Paper›PMID 36121204›Full record

ArticleEndocrinology, diabetes & metabolism2022

Glycated albumin and continuous glucose monitoring metrics across pregnancy in women with pre-gestational diabetes.

Johanne Holm Toft, Ingvild Dalen, Øyvind Skadberg, Lasse Gunnar Gøransson, Inger Økland, Inger Hjørdis Bleskestad

Open access · goldAbstract read
In one paragraph

Article in Endocrinology, diabetes & metabolism, 2022. 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
1.1field-weighted citation impact, top 20% 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, 8 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

6 authors at 1 institution in 1 country.

Johanne Holm ToftDepartment of Obstetrics and Gynecology, Stavanger University Hospital, Stavanger, Norway.ORCID 0000-0003-4583-2743
Ingvild DalenSection of Biostatistics, Department of Research, Stavanger University Hospital, Stavanger, Norway.ORCID 0000-0002-8160-3211
Øyvind SkadbergDepartment of Medical Biochemistry, Stavanger University Hospital, Stavanger, Norway.
Lasse Gunnar GøranssonDepartment of Internal Medicine, Stavanger University Hospital, Stavanger, Norway.ORCID 0000-0002-2498-3406
Inger ØklandDepartment of Obstetrics and Gynecology, Stavanger University Hospital, Stavanger, Norway.ORCID 0000-0002-0150-4919
Inger Hjørdis BleskestadDepartment of Internal Medicine, Stavanger University Hospital, Stavanger, Norway.ORCID 0000-0003-1359-0348
Stavanger University Hospital · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionGlycated albumin (GA), a biomarker reflecting short-term glycaemia, may be useful to assess glycaemic control in pregnancy. We examined the association between GA and continuous glucose monitoring (CGM) metrics across gestation.

methodsIn this prospective cohort study including 40 women with pre-gestational diabetes, blood samples for analysis of GA and glycated haemoglobin A1c (HbA1c) were collected at pregnancy week 12, 20, 24, 28, 32 and 36. In the CGM-group (n = 19), CGM data were collected from first trimester until pregnancy week 36. Receiver operating characteristic (ROC) curves were used to assess the accuracy of GA and HbA1c to detect poor glycaemic control, using CGM metrics as the reference standard. This study was conducted at Stavanger University Hospital, Norway, in 2016-2018.

resultsGlycaemic control improved across gestation with more time spent in target range, coinciding with decreased glycaemic variability and lower mean GA level. There was statistically significant correlation between GA and most CGM metrics. The area under the ROC curves (AUC) for detecting time in range <70% and time above range >25% for the pregnancy glucose target 63-140 mg/dl (3.5-7.8 mmol/L) were 0.78 and 0.82 for GA, whereas AUCs of 0.60 and 0.72 were found for HbA1c, respectively.

conclusionsHigher GA levels were associated with less time spent in target range, more time spent in the above range area and increased glycaemic variability. GA was more accurate than HbA1c to detect time above range >25% and time in range <70%.

Indexed as

Blood GlucoseDiabetes, GestationalBlood Glucose Self-MonitoringFemaleGlucoseGlycated HemoglobinGlycated Serum AlbuminHumansPregnancyProspective StudiesBlood GlucoseGlucoseGlycated HemoglobinGlycated Serum Albumincontinuous glucose monitoringglycated albuminglycated haemoglobin A1cpregnancytype 1 diabetestype 2 diabetes

Identifiers

PMID36121204
PMCPMC9659665
OpenAlexW4296327525

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.