Evidence map›Paper›PMID 32543682›Full record

Trial reportJAMA2020

Effect of Continuous Glucose Monitoring on Hypoglycemia in Older Adults With Type 1 Diabetes: A Randomized Clinical Trial.

Richard E Pratley, Lauren G Kanapka, Michael R Rickels, Andrew Ahmann, Grazia Aleppo, Roy Beck, Anuj Bhargava, Bruce W Bode, Anders Carlson, Naomi S Chaytor and 19 more

2 registry-linked trialsOpen access · bronzeAbstract readComparative StudyMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in JAMA, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 191 papers, 11 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
191citing papers in PubMed, 11 pooled it
26.7field-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.

NCT03240432 nacompletednot on this map

Wireless Innovation for Seniors With Diabetes Mellitus (WISDM)

TypeinterventionalSponsorJaeb Center for Health ResearchRan2017 to 2019Enrolled200ConditionsType 1 Diabetes MellitusArmsDexcom CGM
NCT04936633 nacompletednot on this mapstarted 2021, after this paper: background citation

Efficacy of Remote Intervention by Medical Staff Based on a Cloud System of Continuous Glucose Monitoring Data in Patients With Insulin-dependent Diabetes Using a Flash Sensor-based Glucose Monitoring (FSGM)

TypeinterventionalSponsorYoung Shin SongRan2021 to 2022Enrolled36ConditionsType 1 Diabetes MellitusArmsIntervention by medical staff based on a cloud system
3 · Its place in the literature

Who cites it

191 citing papers in PubMed, 11 syntheses or guidelines pooled it, 340 citations in OpenAlex.

  1. Pooled it
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  3. Guideline
  4. Real-World Evidence of Automated Insulin Delivery System Use.Diabetes technology & therapeutics · 2024
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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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131 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

29 authors at 20 institutions in 1 country.

Richard E PratleyAdventHealth Translational Research Institute, Orlando, Florida.
Lauren G KanapkaJaeb Center for Health Research, Tampa, Florida.
Michael R RickelsRodebaugh Diabetes Center, University of Pennsylvania Perelman School of Medicine, Philadelphia.
Andrew AhmannOregon Health and Science University, Portland.
Grazia AleppoFeinberg School of Medicine, Northwestern University, Chicago, Illinois.
Roy BeckJaeb Center for Health Research, Tampa, Florida.
Anuj BhargavaIowa Diabetes and Endocrinology Research Center, Des Moines.
Bruce W BodeAtlanta Diabetes Associates, Atlanta, Georgia.
Anders CarlsonPark Nicollet International Diabetes Center, Minneapolis, Minnesota.
Naomi S ChaytorElson S. Floyd College of Medicine, Washington State University, Spokane.
D Steven FoxUniversity of South California, School of Pharmacy, Los Angeles.
Robin GolandNaomi Berri Diabetes Center, Columbia University, New York, New York.
Irl B HirschUniversity of Washington, Seattle.
Davida KrugerHenry Ford Health System, Detroit, Michigan.
Yogish C KudvaMayo Clinic, Rochester, Minnesota.
Carol LevyIcahn School of Medicine at Mount Sinai, New York, New York.
Janet B McGillWashington University School of Medicine in St Louis, St Louis, Missouri.
Anne PetersKeck School of Medicine, University of Southern California, Los Angeles.
Louis PhilipsonUniversity of Chicago, Chicago, Illinois.
Athena Philis-TsimikasScripps Whittier Diabetes Institute, La Jolla, California.
Rodica Pop-BusuiUniversity of Michigan, Ann Arbor.
Viral N ShahBarbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, Aurora.
Michael ThompsonUniversity of Massachusetts Medical School, Worcester.
Francesco VendrameUniversity of Miami, Miami, Florida.
Alandra VerdejoJaeb Center for Health Research, Tampa, Florida.
Ruth S WeinstockSUNY Upstate Medical University, Syracuse, New York.
Laura YoungUniversity of North Carolina at Chapel Hill, Chapel Hill.
Kellee M MillerJaeb Center for Health Research, Tampa, Florida.
Wireless Innovation for Seniors With Diabetes Mellitus (WISDM) Study Group
Jaeb Center for Health Research · USAtlanta Diabetes Associates · USColumbia University · USGeorgia Highlands College · USHenry Ford Health System · USIcahn School of Medicine at Mount Sinai · USIowa Diabetes and Endocrinology Research Center · USMayo Clinic · USNorthwestern University · USOregon Health & Science University · USPark Nicollet Clinic · USScripps Whittier Diabetes Institute · USSUNY Upstate Medical University · USTranslational Research Institute for Metabolism and Diabetes · USUniversity of Chicago · USUniversity of Colorado Anschutz Medical Campus · USUniversity of Massachusetts Chan Medical School · USUniversity of Miami · USUniversity of Michigan–Ann Arbor · USUniversity of North Carolina at Chapel Hill · US

Funding

Phenotypic Diversity in COVID-19UL1TR001878 · NCATS · UNIVERSITY OF PENNSYLVANIA · PI FITZGERALD, GARRET A · 2016 to 2025
$102.4M
Northwestern University Clinical and Translational Science Institute (NUCATS)UL1TR001422 · NCATS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI D'AQUILA, RICHARD · 2015 to 2023
$56.8M
Translational Research CoreP30DK020541 · NIDDK · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI STREAMSON C CHUA · 2015 to 2026
$27.7M
Pilot and Feasibility ProgramP30DK020595 · NIDDK · UNIVERSITY OF CHICAGO · PI Raghavendra G Mirmira · 2013 to 2026
$20.9M
New York Regional Center for Diabetes Translation Research - Translational Intervention Methodology CoreP30DK111022 · NIDDK · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI JEFFREY GONZALEZ · 2016 to 2026
$7.8M
NCATS NIH HHS UL1 TR001422NCATS NIH HHS UL1 TR001878NIDDK NIH HHS P30 DK020541NIDDK NIH HHS P30 DK020595NIDDK NIH HHS P30 DK111022
6 · The paper itself

Abstract

Importance: Continuous glucose monitoring (CGM) provides real-time assessment of glucose levels and may be beneficial in reducing hypoglycemia in older adults with type 1 diabetes. Objective: To determine whether CGM is effective in reducing hypoglycemia compared with standard blood glucose monitoring (BGM) in older adults with type 1 diabetes. Design, Setting, and Participants: Randomized clinical trial conducted at 22 endocrinology practices in the United States among 203 adults at least 60 years of age with type 1 diabetes. Interventions: Participants were randomly assigned in a 1:1 ratio to use CGM (n = 103) or standard BGM (n = 100). Main Outcomes and Measures: The primary outcome was CGM-measured percentage of time that sensor glucose values were less than 70 mg/dL during 6 months of follow-up. There were 31 prespecified secondary outcomes, including additional CGM metrics for hypoglycemia, hyperglycemia, and glucose control; hemoglobin A1c (HbA1c); and cognition and patient-reported outcomes, with adjustment for multiple comparisons to control for false-discovery rate. Results: Of the 203 participants (median age, 68 [interquartile range {IQR}, 65-71] years; median type 1 diabetes duration, 36 [IQR, 25-48] years; 52% female; 53% insulin pump use; mean HbA1c, 7.5% [SD, 0.9%]), 83% used CGM at least 6 days per week during month 6. Median time with glucose levels less than 70 mg/dL was 5.1% (73 minutes per day) at baseline and 2.7% (39 minutes per day) during follow-up in the CGM group vs 4.7% (68 minutes per day) and 4.9% (70 minutes per day), respectively, in the standard BGM group (adjusted treatment difference, -1.9% (-27 minutes per day); 95% CI, -2.8% to -1.1% [-40 to -16 minutes per day]; P <.001). Of the 31 prespecified secondary end points, there were statistically significant differences for all 9 CGM metrics, 6 of 7 HbA1c outcomes, and none of the 15 cognitive and patient-reported outcomes. Mean HbA1c decreased in the CGM group compared with the standard BGM group (adjusted group difference, -0.3%; 95% CI, -0.4% to -0.1%; P <.001). The most commonly reported adverse events using CGM and standard BGM, respectively, were severe hypoglycemia (1 and 10), fractures (5 and 1), falls (4 and 3), and emergency department visits (6 and 8). Conclusions and Relevance: Among adults aged 60 years or older with type 1 diabetes, continuous glucose monitoring compared with standard blood glucose monitoring resulted in a small but statistically significant improvement in hypoglycemia over 6 months. Further research is needed to understand the long-term clinical benefit. Trial Registration: ClinicalTrials.gov Identifier: NCT03240432.

Indexed as

AgedBlood GlucoseBlood Glucose Self-MonitoringDiabetes Mellitus, Type 1FemaleGlycated HemoglobinHumansHyperglycemiaHypoglycemiaHypoglycemic AgentsMaleMiddle AgedMonitoring, AmbulatoryPatient Reported Outcome MeasuresBlood GlucoseGlycated HemoglobinHypoglycemic Agents

Identifiers

PMID32543682
PMCPMC7298607
OpenAlexW3034989043

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.