Evidence map›Paper›PMID 32985262›Full record

GuidelineJournal of diabetes science and technology2020

Continuous Glucose Monitors and Automated Insulin Dosing Systems in the Hospital Consensus Guideline.

Rodolfo J Galindo, Guillermo E Umpierrez, Robert J Rushakoff, Ananda Basu, Suzanne Lohnes, James H Nichols, Elias K Spanakis, Juan Espinoza, Nadine E Palermo, Dessa Garnett Awadjie and 17 more

3 registry-linked trialsOpen access · bronzeAbstract readPractice Guideline
In one paragraph

Guideline in Journal of diabetes science and technology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 74 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
74citing papers in PubMed, 4 pooled it
10.9field-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.

NCT03508934 naactive not recruitingnot on this map

Continuous Glucose Monitoring in Insulin Treated Hospitalized Veterans With DM2 at Higher Risk for Hypoglycemia

TypeinterventionalSponsorVA Office of Research and DevelopmentRan2018 to 2026Enrolled218ConditionsDiabetes Mellitus, Type 2, HypoglycemiaArmsGTS (Continuous Glucose Monitoring), POC (Point of Care)
NCT05135676 nacompletednot on this mapstarted 2022, after this paper: background citation

Time in Glucose Hospital Target (TIGHT) - A Randomized Clinical Trial to Evaluate the Use of CGM to Achieve a Mean Glucose Target of 90 to 130 mg/dL Without Hypoglycemia in Hospitalized Adults With Type 2 Diabetes

TypeinterventionalSponsorJaeb Center for Health ResearchRan2022 to 2024Enrolled169ConditionsDiabetes Mellitus, Type 2ArmsBlinded CGM, real-time CGM
NCT06329297 withdrawnnot on this mapstarted 2025, after this paper: background citation

Continuous Glucose Monitoring in Medical and Open-Heart Surgical Patients

TypeobservationalSponsorParkview HealthRan2025 to 2025Enrolled0ConditionsHyperglycemiaArmsCGM monitor
3 · Its place in the literature

Who cites it

74 citing papers in PubMed, 4 syntheses or guidelines pooled it, 149 citations in OpenAlex.

  1. [Hospital diabetes management (Update 2026)].Wiener klinische Wochenschrift · 2026
    Guideline
  2. Pooled it
  3. Guideline
  4. 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
  5. Trial
  6. Trial
  7. Article
  8. Article
  9. Review
  10. Article
  11. Inpatient Use of Automated Insulin Delivery Systems.Journal of diabetes science and technology · 2026
    Review
  12. Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. Review
  19. Article
  20. Article

14 more citing papers are in PubMed but not listed here.

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

27 authors at 20 institutions in 4 countries.

Rodolfo J GalindoEmory University School of Medicine, Atlanta, GA, USA.ORCID 0000-0002-9295-3225
Guillermo E UmpierrezEmory University School of Medicine, Atlanta, GA, USA.
Robert J RushakoffUniversity of California, San Francisco, CA, USA.
Ananda BasuUniversity of Virginia School of Medicine, Charlottesville, VA, USA.
Suzanne LohnesUniversity of California San Diego Medical Center, La Jolla, CA, USA.
James H NicholsVanderbilt University Medical Center, Nashville, TN, USA.ORCID 0000-0002-3652-1612
Elias K SpanakisUniversity of Maryland School of Medicine, Baltimore, MD, USA.ORCID 0000-0002-9352-7172
Juan EspinozaChildren's Hospital Los Angeles, CA, USA.ORCID 0000-0003-0513-588X
Nadine E PalermoBrigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Dessa Garnett AwadjieNew York University Langone Health, NY, USA.
Leigh BakYale New Haven Hospital, CT, USA.
Bruce BuckinghamStanford University School of Medicine, Palo Alto, CA, USA.
Curtiss B CookMayo Clinic Arizona, Scottsdale, AZ, USA.
Guido FreckmannInstitute for Diabetes-Technology GmbH, Ulm, Germany.ORCID 0000-0002-0406-9529
Lutz HeinemannScience Consulting in Diabetes GmbH, Neuss, Germany.ORCID 0000-0003-2493-1304
Roman HovorkaUniversity of Cambridge, UK.
Nestoras MathioudakisJohns Hopkins University School of Medicine, Baltimore, MD, USA.
Tonya NewmanNeal, Gerber and Eisenberg LLP, Chicago, IL, USA.
David N O'NealUniversity of Melbourne Department of Medicine, St. Vincent's Hospital, Fitzroy, Victoria, Australia.ORCID 0000-0002-0870-4032
Michaela RickertOregon Health and Sciences University, Portland, OR, USA.
David B SacksNational Institutes of Health, Bethesda, MD, USA.ORCID 0000-0003-3100-0735
Jane Jeffrie SeleyWeill Cornell Medicine, New York, NY, USA.
Amisha WalliaNorthwestern University Feinberg School of Medicine, Chicago, IL, USA.
Trisha ShangDiabetes Technology Society, Burlingame, CA, USA.ORCID 0000-0001-9687-9336
Jennifer Y ZhangDiabetes Technology Society, Burlingame, CA, USA.ORCID 0000-0002-3374-9777
Julia HanDiabetes Technology Society, Burlingame, CA, USA.
David C KlonoffMills-Peninsula Medical Center, San Mateo, CA, USA.ORCID 0000-0001-6394-6862
Diabetes Technology Society · USEmory University · USBrigham and Women's Hospital · USChildren's Hospital of Los Angeles · USCornell University · USGerman Center for Diabetes Research · DEJohns Hopkins University · USMayo Clinic in Arizona · USMills Peninsula Health Services · USNational Institutes of Health · USNorthwestern University · USNYU Langone Health · USOregon Health & Science University · USPalo Alto University · USThe University of Melbourne · AUUniversity of California San Diego Medical Center · USUniversity of California, San Francisco · USUniversity of Cambridge · GBUniversity of Maryland, Baltimore · USUniversity of Virginia · US

Funding

Implementing a Maternal health and PRegnancy Outcomes Vision for Everyone (IMPROVE)UL1TR002378 · NCATS · EMORY UNIVERSITY · PI Andres J Garcia, Elizabeth O. Ofili · 2017 to 2026
$92.1M
Translational Research Core - Engagement and Behavior ChangeP30DK111024 · NIDDK · EMORY UNIVERSITY · PI Mohammed Kumail Ali · 2016 to 2026
$13.4M
West Coast Consortium for Technology and Innovation in PediatricsP50FD006425 · FDA · CHILDREN'S HOSPITAL OF LOS ANGELES · PI BAR-COHEN, YANIV, ESPINOZA, JUAN · 2018 to 2022
$7.0M
Use of Continuous Glucose Monitoring (CGM) in End-Stage Renal Disease(ESRD) Patients with Type 2 DiabetesK23DK123384 · NIDDK · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI GALINDO, RODOLFO · 2020 to 2024
$934k
Continuous Glucose Monitoring in Insulin Treated Hospitalized Veterans with DM2 at Higher Risk for HypoglycemiaI01CX001825 · VA · BALTIMORE VA MEDICAL CENTER · PI SPANAKIS, ILIAS · 2018 to 2023
–
CSRD VA I01 CX001825FDA HHS P50 FD006425NCATS NIH HHS UL1 TR002378NIDDK NIH HHS K23 DK123384NIDDK NIH HHS P30 DK111024
6 · The paper itself

Abstract

This article is the work product of the Continuous Glucose Monitor and Automated Insulin Dosing Systems in the Hospital Consensus Guideline Panel, which was organized by Diabetes Technology Society and met virtually on April 23, 2020. The guideline panel consisted of 24 international experts in the use of continuous glucose monitors (CGMs) and automated insulin dosing (AID) systems representing adult endocrinology, pediatric endocrinology, obstetrics and gynecology, advanced practice nursing, diabetes care and education, clinical chemistry, bioengineering, and product liability law. The panelists reviewed the medical literature pertaining to five topics: (1) continuation of home CGMs after hospitalization, (2) initiation of CGMs in the hospital, (3) continuation of AID systems in the hospital, (4) logistics and hands-on care of hospitalized patients using CGMs and AID systems, and (5) data management of CGMs and AID systems in the hospital. The panelists then developed three types of recommendations for each topic, including clinical practice (to use the technology optimally), research (to improve the safety and effectiveness of the technology), and hospital policies (to build an environment for facilitating use of these devices) for each of the five topics. The panelists voted on 78 proposed recommendations. Based on the panel vote, 77 recommendations were classified as either strong or mild. One recommendation failed to reach consensus. Additional research is needed on CGMs and AID systems in the hospital setting regarding device accuracy, practices for deployment, data management, and achievable outcomes. This guideline is intended to support these technologies for the management of hospitalized patients with diabetes.

Indexed as

Blood GlucoseDiabetes MellitusHospitalsInsulinInsulin Infusion SystemsAdultBlood Glucose Self-MonitoringChildConsensusDiabetes ComplicationsDrug Dosage CalculationsFemaleHospitalizationHumansPregnancyBlood GlucoseInsulinautomated insulin dosingcontinuous glucose monitorCOVID-19guidelinehospital

Identifiers

PMID32985262
PMCPMC7645140
OpenAlexW3089189812

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.