Evidence map›Paper›PMID 36509180›Full record

ArticleDiabetes research and clinical practice2023

"Nothing is linear": Characterizing the determinants and dynamics of CGM use in older adults with type 1 diabetes.

Anna R Kahkoska, Cambray Smith, Sirisha Thambuluru, Joshua Weinstein, John A Batsis, Richard Pratley, Ruth S Weinstock, Laura A Young, Kristen Hassmiller Lich

Open access · greenAbstract read
In one paragraph

Article in Diabetes research and clinical practice, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 8% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Clin-STAR Corner: Practice Changing Advances in Diabetes Care.Journal of the American Geriatrics Society · 2025
    Review
  6. Article
  7. Article
  8. A qualitative study of recruitment strategies: Perspectives from older adults living with diabetes.Diabetic medicine : a journal of the British Diabetic Association · 2024
    Article
  9. Article
  10. Review
  11. Article
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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

9 authors at 3 institutions in 1 country.

Anna R KahkoskaDepartment of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Division of Endocrinology and Metabolism, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Center for Aging and Health, School of Medicine, University of North Carolina at Chapel Hill, NC, USA. Electronic address: anna_kahkoska@med.unc.edu.
Cambray SmithDepartment of Health Policy and Management, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. Electronic address: cambray_smith@med.unc.edu.
Sirisha ThambuluruDivision of Endocrinology and Metabolism, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. Electronic address: Sirisha.Thambuluru@unchealth.unc.edu.
Joshua WeinsteinDepartment of Health Policy and Management, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. Electronic address: jmwein@live.unc.edu.
John A BatsisDepartment of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Division of Geriatric Medicine, Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Center for Aging and Health, School of Medicine, University of North Carolina at Chapel Hill, NC, USA. Electronic address: john_batsis@med.unc.edu.
Richard PratleyAdventHealth Translational Research Institute, Orlando, FL, USA. Electronic address: richard.pratley.md@adventhealth.com.
Ruth S WeinstockSUNY Upstate Medical University, Syracuse, NY, USA. Electronic address: WeinstoR@upstate.edu.
Laura A YoungDivision of Endocrinology and Metabolism, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. Electronic address: laura_young@med.unc.edu.
Kristen Hassmiller LichDepartment of Health Policy and Management, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. Electronic address: klich@unc.edu.
University of North Carolina at Chapel Hill · USSUNY Upstate Medical University · USTranslational Research Institute for Metabolism and Diabetes · US

Funding

Re-Entry Supplement: Investigation of Oral Microbial Enzymes for the Detection and Treatment of Periodontal DiseaseUL1TR002489 · NCATS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BUSE, JOHN BERNARD, SHAHEEN, NICHOLAS J · 2018 to 2022
$48.6M
North Carolina Translational and Clinical Science Institute (NC TraCS) KL2KL2TR002490 · NCATS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI WEINBERGER, MORRIS · 2018 to 2022
$11.0M
NCATS NIH HHS KL2 TR002490NCATS NIH HHS UL1 TR002489
6 · The paper itself

Abstract

aimsContinuous glucose monitoring (CGM) can reduce hypoglycemia in older adults with type 1 diabetes (T1D). We aimed to characterize factors that influence effective use in this age group.

methodsOlder adults with type T1D (age ≥ 65) and their caregivers participated in one of a series of parallel group model building workshops, a participatory approach to system dynamics involving drawing and scripted group activities. Data were synthesized in a qualitative model of the hypothesized system of factors producing distinct patterns of CGM use in older adults. The model was validated through virtual follow-up interviews.

resultsData were collected from 33 participants (four patient-caregiver dyads, mean age 73.8 ± 4.4 years [range 66-85 years]; 16 % non-CGM users, 79 % pump users). The system model delineates drivers of CGM uptake, drivers of ongoing CGM use, and feedback loops that either reinforce or counteract future CGM use. Participants emphasized the importance of different sets of feedback loops at different points in the duration of CGM use.

conclusionsThe holistic system model underscores that factors and feedback loops driving effective CGM use in older adults are both individualized and dynamic (e.g., changing over time), suggesting opportunities for staged and tailored age-specific education and support.

Indexed as

Diabetes Mellitus, Type 1HypoglycemiaAgedAged, 80 and overBlood GlucoseBlood Glucose Self-MonitoringGlycated HemoglobinHumansHypoglycemic AgentsBlood GlucoseGlycated HemoglobinHypoglycemic AgentsContinuous glucose monitoringOlder adultsParticipatory system dynamicsSystems scienceType 1 diabetes

Identifiers

PMID36509180
PMCPMC9974816
OpenAlexW4311146098

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.