Evidence mapPaperPMID 33100059Full record

ArticleJournal of diabetes science and technology2022

Evaluation of Reference Metrics for Continuous Glucose Monitoring in Persons Without Diabetes and Prediabetes.

Sheyda Sofizadeh, Anders Pehrsson, Arndís F Ólafsdóttir, Marcus Lind

Open access · bronzeAbstract read
In one paragraph

Article in Journal of diabetes science and technology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.6field-weighted citation impact, top 9% 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

21 citing papers in PubMed, 34 citations in OpenAlex.

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  9. Continuous Glucose Monitoring for Prediabetes: What Are the Best Metrics?Journal of diabetes science and technology · 2024
    Review
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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

4 authors at 1 institution in 1 country.

Sheyda SofizadehDepartment of Medicine, NU-Hospital Group, Uddevalla, Sweden.ORCID 0000-0003-3701-5065
Anders PehrssonStatistiska Konsultgruppen, Gothenburg, Sweden.
Arndís F ÓlafsdóttirDepartment of Medicine, NU-Hospital Group, Uddevalla, Sweden.
Marcus LindDepartment of Medicine, NU-Hospital Group, Uddevalla, Sweden.
NU Hospital Group · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecent guidelines have been developed for continuous glucose monitoring (CGM) metrics in persons with diabetes. To understand what glucose profiles should be judged as normal in clinical practice and glucose-lowering trials, we examined the glucose profile of healthy individuals using CGM.

methodsPersons without diabetes or prediabetes were included after passing a normal oral glucose tolerance test, two-hour value <8.9 mmol/L (160 mg/dL), fasting glucose <6.1 mmol/L (110 mg/dL), and HbA1c <6.0% (<42 mmol/mol). CGM metrics were evaluated using the Dexcom G4 Platinum.

resultsIn total, 60 persons were included, mean age was 43.0 years, 70.0% were women, mean HbA1c was 5.3% (34 mmol/mol), and mean body mass index was 25.7 kg/m

conclusionsPeople without prediabetes or diabetes show a non-negligible % time in hypoglycemia, median 1.6% and mean 3.2%, which needs to be accounted for in clinical practice and glucose-lowering trials. Glycemic variability measures differ day and night in this population.

Indexed as

Diabetes Mellitus, Type 1Prediabetic StateAdultBlood GlucoseBlood Glucose Self-MonitoringFemaleGlucoseGlycated HemoglobinHumansMaleBlood GlucoseGlucoseGlycated Hemoglobincontinuous glucose monitoring metricshealthy populationhypoglycemiatime in range

Identifiers

PMID33100059
PMCPMC8861786
OpenAlexW3093506836

What Socratic 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 Socratic graph.