Evidence map›Paper›PMID 35908248›Full record

ArticleThe Journal of clinical endocrinology and metabolism2022

The Importance of Continuous Glucose Monitoring-derived Metrics Beyond HbA1c for Optimal Individualized Glycemic Control.

Hidenori Yoshii, Tomoya Mita, Naoto Katakami, Yosuke Okada, Takeshi Osonoi, Katsumi Aso, Akira Kurozumi, Satomi Wakasugi, Fumiya Sato, Ryota Ishii and 3 more

Open access · hybridAbstract read
In one paragraph

Article in The Journal of clinical endocrinology and metabolism, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.4field-weighted citation impact, top 17% 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

10 citing papers in PubMed, 10 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

13 authors at 7 institutions in 1 country.

Hidenori YoshiiDepartment of Medicine, Diabetology & Endocrinology, Juntendo Tokyo Koto Geriatric Medical Center, Koto-ku, Tokyo 136-0075, Japan.
Tomoya MitaDepartment of Metabolism & Endocrinology, Juntendo University Graduate School of Medicine, Tokyo, 113-8421, Japan.ORCID 0000-0002-4401-2965
Naoto KatakamiDepartment of Metabolic Medicine, Osaka University Graduate School of Medicine, Osaka, 565-0871, Japan.
Yosuke OkadaFirst Department of Internal Medicine, School of Medicine, University of Occupational and Environmental Health, Japan, Kitakyushu 807-8555, Japan.
Takeshi OsonoiNakakinen Clinic, Ibaraki 311-0113, Japan.
Katsumi AsoAso Clinic, Shizuoka, Japan 410-0041, Japan.
Akira KurozumiFirst Department of Internal Medicine, School of Medicine, University of Occupational and Environmental Health, Japan, Kitakyushu 807-8555, Japan.
Satomi WakasugiDepartment of Metabolism & Endocrinology, Juntendo University Graduate School of Medicine, Tokyo, 113-8421, Japan.
Fumiya SatoDepartment of Metabolism & Endocrinology, Juntendo University Graduate School of Medicine, Tokyo, 113-8421, Japan.
Ryota IshiiDepartment of Biostatistics, Faculty of Medicine, University of Tsukuba, Ibaraki 305-8575, Japan.
Masahiko GoshoDepartment of Biostatistics, Faculty of Medicine, University of Tsukuba, Ibaraki 305-8575, Japan.
Iichiro ShimomuraDepartment of Metabolic Medicine, Osaka University Graduate School of Medicine, Osaka, 565-0871, Japan.
Hirotaka WatadaDepartment of Metabolism & Endocrinology, Juntendo University Graduate School of Medicine, Tokyo, 113-8421, Japan.ORCID 0000-0001-5961-1816
Juntendo University · JPThe University of Osaka · JPUniversity of Occupational and Environmental Health Japan · JPUniversity of Tsukuba · JPKoto Hospital · JPMito Saiseikai General Hospital · JPOno Clinic · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextCurrent guidelines recommend assessing glycemic control using continuous glucose monitoring (CGM) and hemoglobin A1c (HbA1c) measurement.

objectiveThis study aimed to clarify the characteristics of patients who might benefit from CGM metrics in addition to HbA1c monitoring.

methodsCGM metrics, specifically time in range (TIR), time below range (TBR), and time above range (TAR), were determined in 999 outpatients with type 2 diabetes and compared between HbA1c categories (HbA1c < 53 mmol/mol [7.0%, HbA1c <  53], HbA1c 53-63 mmol/mol [7.0-7.9%, HbA1c 53-63], HbA1c 64-74 mmol/mol [8.0-8.9%, HbA1c 64-74], and HbA1c ≥ 75 mmol/mol [9.0%, HbA1c ≥  75]) and between patients with identical HbA1c categories who were stratified by age, types of antidiabetic agents, and renal function.

resultsFor HbA1c <  53 category, patients aged ≥ 65 years had a significantly higher nocturnal TBR than those aged < 65 years. For HbA1c <  53 and HbA1c 53-63 categories, patients receiving insulin and/or sulfonylureas had a significantly higher TAR and TBR, and a lower TIR than those not receiving these drugs, and for HbA1c 64-74 category, they had a significantly higher TBR. For HbA1c <  53, HbA1c 53-63, and HbA1c 64-74 categories, patients with an estimated glomerular filtration rate (eGFR) < 60 mL/min/1.73 m2 had a significantly higher TBR during some periods than those with an eGFR ≥ 60.

conclusionHigher HbA1c levels do not always protect against hypoglycemic episodes. Our data demonstrate that using CGM metrics to complement HbA1c monitoring is beneficial, especially in older people, users of insulin and/or sulfonylureas, and patients with chronic kidney disease.

Indexed as

Diabetes Mellitus, Type 1Diabetes Mellitus, Type 2AgedBlood GlucoseBlood Glucose Self-MonitoringGlycated HemoglobinGlycemic ControlHumansHypoglycemic AgentsInsulinBlood GlucoseGlycated HemoglobinHypoglycemic AgentsInsulincontinuous glucose monitoringglucose variabilityindividualization of glycemic controltime in range

Identifiers

PMID35908248
PMCPMC9516123
OpenAlexW4288987726

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.