Evidence map›Paper›PMID 38429333›Full record

ArticleScientific reports2024

Glucose values from the same continuous glucose monitoring sensor significantly differ among readers with different generations of algorithm.

Naru Babaya, Shinsuke Noso, Yoshihisa Hiromine, Yasunori Taketomo, Fumimaru Niwano, Sawa Yoshida, Sara Yasutake, Yumiko Kawabata, Norikazu Maeda, Hiroshi Ikegami

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

10 authors.

Naru BabayaDepartment of Endocrinology, Metabolism and Diabetes, Faculty of Medicine, Kindai University, 377-2 Ohno-higashi, Osaka-sayama, Osaka, 589-8511, Japan. babaya@med.kindai.ac.jp.ORCID https://orcid.org/0000-0003-2466-1228
Shinsuke NosoDepartment of Endocrinology, Metabolism and Diabetes, Faculty of Medicine, Kindai University, 377-2 Ohno-higashi, Osaka-sayama, Osaka, 589-8511, Japan.
Yoshihisa HiromineDepartment of Endocrinology, Metabolism and Diabetes, Faculty of Medicine, Kindai University, 377-2 Ohno-higashi, Osaka-sayama, Osaka, 589-8511, Japan.
Yasunori TaketomoDepartment of Endocrinology, Metabolism and Diabetes, Faculty of Medicine, Kindai University, 377-2 Ohno-higashi, Osaka-sayama, Osaka, 589-8511, Japan.
Fumimaru NiwanoDepartment of Endocrinology, Metabolism and Diabetes, Faculty of Medicine, Kindai University, 377-2 Ohno-higashi, Osaka-sayama, Osaka, 589-8511, Japan.
Sawa YoshidaDepartment of Endocrinology, Metabolism and Diabetes, Faculty of Medicine, Kindai University, 377-2 Ohno-higashi, Osaka-sayama, Osaka, 589-8511, Japan.
Sara YasutakeDepartment of Endocrinology, Metabolism and Diabetes, Faculty of Medicine, Kindai University, 377-2 Ohno-higashi, Osaka-sayama, Osaka, 589-8511, Japan.
Yumiko KawabataDepartment of Endocrinology, Metabolism and Diabetes, Faculty of Medicine, Kindai University, 377-2 Ohno-higashi, Osaka-sayama, Osaka, 589-8511, Japan.
Norikazu MaedaDepartment of Endocrinology, Metabolism and Diabetes, Faculty of Medicine, Kindai University, 377-2 Ohno-higashi, Osaka-sayama, Osaka, 589-8511, Japan.
Hiroshi IkegamiDepartment of Endocrinology, Metabolism and Diabetes, Faculty of Medicine, Kindai University, 377-2 Ohno-higashi, Osaka-sayama, Osaka, 589-8511, Japan.

Funding

Japan Society for the Promotion of Science JP21K08539Japan Society for the Promotion of Science JP21K08567Japan Society for the Promotion of Science JP21K08589
6 · The paper itself

Abstract

Continuous glucose monitoring (CGM) values obtained from CGM systems using the same sensor but with different internal algorithms (the first- and third-generation FreeStyle Libre (1st-gen-libre and 3rd-gen-libre, respectively)) were compared. We used 19,819 paired and simultaneously measured CGM values of 13 patients with diabetes. The average CGM value was significantly higher (P < 0.0001) and the time below range (CGM value < 70 mg/dL) was significantly lower (P < 0.0001) with the 3rd-gen-libre than with the 1st-gen-libre. There was a significant correlation (P < 0.0001) between the CGM values of the 3rd-gen-libre (y-axis, mg/dL) and 1st-gen-libre (x-axis, mg/dL) using the following formula: y = 0.9728x + 10.024. On assessing the association between glycated hemoglobin (HbA1c (%), y-axis) and the average CGM values (x-axis, mg/dL) by applying the obtained equation to previously reported 1st-gen-libre data and converting it to 3rd-gen-libre data, we obtained the equation y = 0.02628x + 3.233, indicating that the glucose management indicator reported in the West may be underestimated compared with the laboratory-measured HbA1c in the Japanese population. Glucose values from the same sensor were found to be significantly different between readers with different algorithms, and the calculation of CGM-related indices may need to be individualized for each device.

Indexed as

Blood GlucoseDiabetes Mellitus, Type 1AlgorithmsBlood Glucose Self-MonitoringContinuous Glucose MonitoringGlucoseGlycated HemoglobinHumansBlood GlucoseGlucoseGlycated Hemoglobin

Identifiers

PMID38429333
PMCPMC10907350

What Socratic holds

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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 Socratic graph.