Evidence map›Paper›PMID 28868824›Full record

ArticleDiabetes & metabolism journal2017

Comparison of Glucose Area Under the Curve Measured Using Minimally Invasive Interstitial Fluid Extraction Technology with Continuous Glucose Monitoring System in Diabetic Patients.

Mei Uemura, Yutaka Yano, Toshinari Suzuki, Taro Yasuma, Toshiyuki Sato, Aya Morimoto, Samiko Hosoya, Chihiro Suminaka, Hiromu Nakajima, Esteban C Gabazza and 1 more

Abstract read
In one paragraph

Article in Diabetes & metabolism journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. 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

11 authors.

Mei UemuraDepartment of Diabetes, Metabolism and Endocrinology, Mie University Graduate School of Medicine, Tsu, Japan.
Yutaka YanoDepartment of Diabetes, Metabolism and Endocrinology, Mie University Graduate School of Medicine, Tsu, Japan. yanoyuta@clin.medic.mie-u.ac.jp.ORCID https://orcid.org/0000-0003-0234-1207
Toshinari SuzukiDepartment of Diabetes and Endocrinology, Mie University Hospital, Tsu, Japan.
Taro YasumaDepartment of Immunology, Mie University Graduate School of Medicine, Tsu, Japan.
Toshiyuki SatoCentral Research Laboratories, Sysmex Corporation, Kobe, Japan.
Aya MorimotoCentral Research Laboratories, Sysmex Corporation, Kobe, Japan.
Samiko HosoyaCentral Research Laboratories, Sysmex Corporation, Kobe, Japan.
Chihiro SuminakaCentral Research Laboratories, Sysmex Corporation, Kobe, Japan.
Hiromu NakajimaOsaka Medical Center for Cancer and Cardiovascular Diseases, Osaka, Japan.
Esteban C GabazzaDepartment of Immunology, Mie University Graduate School of Medicine, Tsu, Japan.
Yoshiyuki TakeiDepartment of Gastroenterology and Hepatology, Mie University Graduate School of Medicine, Tsu, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundContinuous glucose monitoring (CGM) is reported to be a useful technique, but difficult or inconvenient for some patients and institutions. We are developing a glucose area under the curve (AUC) monitoring system without blood sampling using a minimally invasive interstitial fluid extraction technology (MIET). Here we evaluated the accuracy of interstitial fluid glucose (IG) AUC measured by MIET in patients with diabetes for an extended time interval and the potency of detecting hyperglycemia using CGM data as a reference.

methodsThirty-eight inpatients with diabetes undergoing CGM were enrolled. MIET comprised a pretreatment step using a plastic microneedle array and glucose accumulation step with a hydrogel patch, which was placed on two sites from 9:00 AM to 5:00 PM or from 10:00 PM to 6:00 AM. IG AUC was calculated by accumulated glucose extracted by hydrogel patches using sodium ion as standard.

resultsA significant correlation was observed between the predicted AUC by MIET and CGM in daytime (r=0.76) and nighttime (r=0.82). The optimal cutoff for the IG AUC value of MIET to predict hyperglycemia over 200 mg/dL measured by CGM for 8 hours was 1,067.3 mg·hr/dL with 88.2% sensitivity and 81.5% specificity.

conclusionWe showed that 8-hour IG AUC levels using MIET were valuable in estimating the blood glucose AUC without blood sampling. The results also supported the concept of using this technique for evaluating glucose excursion and for screening hyperglycemia during 8 hours in patients with diabetes at any time of day.

Indexed as

Continuous glucose monitoringDiabetes mellitusGlucose area under the curveHyperglycemiaNocturnal blood glucosePost-prandial blood glucose

Identifiers

PMID28868824
PMCPMC5583404

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.