Evidence map›Paper›PMID 35695037›Full record

ArticleDiabetes, obesity & metabolism2022

Real world hypoglycaemia related to glucose variability and Flash glucose scan frequency assessed from global FreeStyle Libre data.

Jean-Pierre Riveline, Anne Wojtusciszyn, Bruno Guerci, Clara Alves, Kalvin Kao, Yongjin Xu, Timothy C Dunn

Open access · bronzeAbstract read
In one paragraph

Article in Diabetes, obesity & metabolism, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

8 citing papers in PubMed, 13 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

7 authors at 5 institutions in 4 countries.

Jean-Pierre RivelineDepartment of Diabetology and Endocrinology, Hôpital Lariboisière, APHP, Paris, France.
Anne WojtusciszynDepartment of Endocrinology, Diabetes and Metabolism, CHUV, University of Lausanne, Lausanne, Switzerland.
Bruno GuerciDepartment of Endocrinology Diabetology and Nutrition, Brabois Hospital, CHRU of Nancy & University of Lorraine, Vandoeuvre-Lès-Nancy, France.
Clara AlvesMedical Affairs, Abbott Diabetes Care, Delkenheim, Germany.ORCID 0000-0003-4863-8495
Kalvin KaoClinical Affairs, Abbott Diabetes Care, Alameda, California, USA.
Yongjin XuClinical Affairs, Abbott Diabetes Care, Alameda, California, USA.
Timothy C DunnClinical Affairs, Abbott Diabetes Care, Alameda, California, USA.
Abbott (United States) · USDiabetes Care Center · USInserm · FRUniversité de Lorraine · FRUniversity Hospital of Lausanne · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimFlash glucose monitoring provides a range of glucose metrics. In the current study, we aim to identify those that indicate that glycaemic targets can be consistently met and contrast the total (t-CV) and within-day coefficient of variation (wd-CV) to guide the assessment of glucose variability and hypoglycaemia exposure.

methodsDe-identified data from Flash readers were collected. The readers were sorted into 10 equally sized groups of scan frequency followed by quartiles of estimated A1c (eA1c). A similar grouping was performed for the total coefficient of variation (t-CV) and within-day coefficient of variation (wd-CV). In addition, analysis of the association of time below 54 mg/dl and glucose variability measured by t-CV and wd-CV was performed.

resultsThe dataset included 1 002 946 readers. Readers sorted by 10 equal groups of scan rate and quartiles by eA1c, t-CV and wd-CV represented 25 074 readers per group. The association of lower eA1c with higher time in range and reduced time above range was clear. The correlation of eA1c quartiles and time below range was not consistent. An association between glucose variability and hypoglycaemia was found. Both wd-CV and t-CV were associated with time below range. For achieving the consensus target of <1% time below 54 mg/dl, the associated wd-CV and t-CV values were 33.5% and 39.5%, respectively.

conclusionsThe type of CV reported by the different continuous glucose monitoring systems should be acknowledged. CV <36% might not be adequate to ensure low hypoglycaemia exposure. To our knowledge, the majority of continuous glucose monitoring reports the t-CV. Appropriate thresholds should be used to identify patients that would probably meet time below range targets (t-CV <40% or wd-CV <34%).

Indexed as

Diabetes Mellitus, Type 1HypoglycemiaBlood GlucoseBlood Glucose Self-MonitoringGlucoseGlycated HemoglobinHumansBlood GlucoseGlucoseGlycated Hemoglobinblood glucose monitoringdiabetesFreeStyle Libreglucose variabilityreal life data

Identifiers

PMID35695037
PMCPMC9796411
OpenAlexW4282843233

What Socratic holds

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LicenceCC BY-NC
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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 Socratic graph.