Evidence map›Paper›PMID 38289464›Full record

ArticleDiabetes therapy : research, treatment and education of diabetes and related disorders2024

Association Between Adherence, A1C Improvement, and Type of Continuous Glucose Monitoring System in People with Type 1 Diabetes or Type 2 Diabetes Treated with Intensive Insulin Therapy.

Poorva M Nemlekar, Katia L Hannah, Courtney R Green, Gregory J Norman

Open access · goldAbstract read
In one paragraph

Article in Diabetes therapy : research, treatment and education of diabetes and related disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.9field-weighted citation impact, top 6% 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

12 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Observational
  4. Article
  5. Article
  6. Observational
  7. Article
  8. Important Continuous Glucose Monitoring Attributes for Patients With Type 2 Diabetes.Clinical diabetes : a publication of the American Diabetes Association · 2025
    Article
  9. Observational
  10. Article
  11. Article
  12. Review
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

4 authors at 1 institution in 1 country.

Poorva M NemlekarDexcom, Inc., 6340 Sequence Dr., San Diego, CA, 92121, USA.ORCID http://orcid.org/0009-0003-7092-5295
Katia L HannahDexcom, Inc., 6340 Sequence Dr., San Diego, CA, 92121, USA.ORCID http://orcid.org/0000-0003-1027-4059
Courtney R GreenDexcom, Inc., 6340 Sequence Dr., San Diego, CA, 92121, USA.ORCID http://orcid.org/0000-0002-9279-0649
Gregory J NormanDexcom, Inc., 6340 Sequence Dr., San Diego, CA, 92121, USA. Greg.norman@dexcom.com.ORCID http://orcid.org/0000-0001-7989-9597
Dexcom (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionUse of continuous glucose monitoring (CGM) systems by people with diabetes is associated with improved glycemic outcomes, including lower glycated hemoglobin (A1C). Less is known about adherence to CGM systems, whether glycemic outcomes are impacted by levels of adherence, or whether adherence rates differ between types of CGM systems-intermittently scanned CGM (isCGM) or real-time CGM (rtCGM).

methodsA retrospective analysis of de-identified US administrative health claims and linked laboratory data was conducted using the Merative™ MarketScan

resultsA total of 7669 individuals were identified. Subgroups included T1D using isCGM (n = 1578), T1D using rtCGM (n = 1244), T2D-IIT using isCGM (n = 3567), and T2D-IIT using rtCGM (n = 1280). After 12 months, PDC was 0.71 (0.30)-0.72 (0.31) (mean(SD)) for T1D and T2D-IIT rtCGM users and 0.55 (0.34)-0.56 (0.34) for T1D and T2D-IIT isCGM users. The proportion of adherent users (PDC ≥ 0.8) was 56.8-59.7% for rtCGM users and 36.3-37.6% for isCGM users. Overall, regardless of diabetes type, the odds of adherence were over two times higher for rtCGM users compared to isCGM users. For those with available A1C information (T1D n = 213; T2D-IIT n = 346), independent of CGM type, adherence to CGM was associated with a greater reduction in A1C and more people reaching A1C targets of < 7.0% or < 8.0%.

conclusionFor people with T1D or T2D-IIT, higher adherence to CGM is associated with greater reductions in A1C, and higher adherence rates were observed with rtCGM systems than with isCGM systems.

Indexed as

A1CAdherenceContinuous glucose monitoringGlycated hemoglobinIntensive insulin therapyType 1 diabetesType 2 diabetes

Identifiers

PMID38289464
PMCPMC10942933
OpenAlexW4391347726

What OpenQuestion holds

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LicenceCC BY-NC
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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.