Evidence map›Paper›PMID 30636519›Full record

ArticleJournal of diabetes science and technology2019

The Relationships Between Time in Range, Hyperglycemia Metrics, and HbA1c.

Roy W Beck, Richard M Bergenstal, Peiyao Cheng, Craig Kollman, Anders L Carlson, Mary L Johnson, David Rodbard

Registry-linked trialOpen access · bronzeAbstract read
In one paragraph

Article in Journal of diabetes science and technology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07325201 (Mitigating Diabetic Ketoacidosis in People With T1D and Chronic Kidney Disease on an SGLT1&2 Inhibitor), which is not on this map. Cited by 233 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
233citing papers in PubMed, 8 pooled it
38.4field-weighted citation impact, top 1% 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.

NCT07325201 phase2not yet recruitingnot on this mapstarted 2026, after this paper: background citation

Mitigating Diabetic Ketoacidosis in People With T1D and Chronic Kidney Disease on an SGLT1&2 Inhibitor: Ketosis Risk Factor Determination and Incorporation Into an Enhanced Glucose Ketone Report

TypeinterventionalSponsorHealthPartners InstituteRan2026 to 2030Enrolled80ConditionsType 1 Diabetes Mellitus, Chronic Kidney Disease (CKD) With Diabetes Mellitus (DM), Chronic Kidney Disease, Diabetic KetoacidosisArmsSotagliflozin initiation
3 · Its place in the literature

Who cites it

233 citing papers in PubMed, 8 syntheses or guidelines pooled it, 437 citations in OpenAlex.

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  6. American Association of Clinical Endocrinology Clinical Practice Guideline: Developing a Diabetes Mellitus Comprehensive Care Plan-2022 Update.Endocrine practice : official journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists · 2022
    Guideline
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  11. Mulberry Twig Alkaloids Combined With Insulin Infusion: Effects on Blood Glucose Variability in Type 2 Diabetes.Medical science monitor : international medical journal of experimental and clinical research · 2026
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173 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

Roy W Beck1 Jaeb Center for Health Research, Tampa, FL, USA.
Richard M Bergenstal2 International Diabetes Center, Park Nicollet and HealthPartners, St. Louis Park, MN, USA.
Peiyao Cheng1 Jaeb Center for Health Research, Tampa, FL, USA.
Craig Kollman1 Jaeb Center for Health Research, Tampa, FL, USA.
Anders L Carlson2 International Diabetes Center, Park Nicollet and HealthPartners, St. Louis Park, MN, USA.
Mary L Johnson2 International Diabetes Center, Park Nicollet and HealthPartners, St. Louis Park, MN, USA.
David Rodbard3 Biomedical Informatics Consultants, LLC, Potomac, MD, USA.
Jaeb Center for Health Research · USHealthPartners · USPark Nicollet Clinic · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAs the use of continuous glucose monitoring (CGM) increases, there is a need to better understand key metrics of time in range 70-180 mg/dL (TIR

methodsAnalyses were conducted utilizing datasets from four randomized trials encompassing 545 adults with type 1 diabetes (T1D) who had central-laboratory measurements of A1C. CGM metrics were calculated and compared with each other and A1C cross-sectionally and longitudinally.

resultsCorrelations among CGM metrics (TIR

conclusionsIn T1D, CGM measures reflecting hyperglycemia (including TIR and mean glucose) are highly correlated with each other but only moderately correlated with A1C. For a given TIR or change in TIR there is a wide range of possible corresponding A1C values.

Indexed as

Blood GlucoseBlood Glucose Self-MonitoringDiabetes Mellitus, Type 1Glycated HemoglobinHyperglycemiaAdolescentAdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedYoung AdultBlood GlucoseGlycated Hemoglobinhemoglobin A1c protein, humancontinuous glucose monitoringglucose time in rangetype 1 diabetes

Identifiers

PMID30636519
PMCPMC6610606
OpenAlexW2910274134

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.