Evidence map›Paper›PMID 29737202›Full record

ArticleJournal of diabetes science and technology2018

Health Care Costs, Hospital Admissions, and Glycemic Control Using a Standalone, Real-Time, Continuous Glucose Monitoring System in Commercially Insured Patients With Type 1 Diabetes.

Max Gill, Cyrus Zhu, Mona Shah, Harmeet Chhabra

Abstract read
In one paragraph

Article in Journal of diabetes science and technology, 2018. 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
–field-weighted citation impact
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.

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  10. Sharing patient-generated data with healthcare providers: findings from a 2019 national survey.Journal of the American Medical Informatics Association : JAMIA · 2021
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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

4 authors.

Max Gill1 Medtronic-Diabetes, Northridge, CA, USA.
Cyrus Zhu1 Medtronic-Diabetes, Northridge, CA, USA.
Mona Shah1 Medtronic-Diabetes, Northridge, CA, USA.
Harmeet Chhabra1 Medtronic-Diabetes, Northridge, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStudies comparing standalone real-time continuous glucose monitoring (rtCGM) to self-monitoring of blood glucose (SMBG) in patients with type 1 diabetes mellitus (T1DM) have found that rtCGM is associated with lower glycated hemoglobin (A1C) levels, yet does not increase the risk of severe hypoglycemia. However, little is known about the relationship between rtCGM and health care costs and utilization. The objective of this study was to compare health care spending, hospital admissions, and A1C levels of patients using rtCGM to that of patients not using rtCGM.

methodsThis retrospective, cross-sectional analysis used a large repository of health plan administrative data to compare average health care costs (excluding durable medical equipment), hospital admissions, and A1C levels of those using rtCGM (N = 1027) versus not using rtCGM (N = 32 583). To control for potentially confounding variables, a propensity score method was used to match patients using rtCGM to those not using rtCGM, based on characteristics such as age, gender, and comorbidities.

resultsPatients using rtCGM spent an average of approximately $4200 less in total health care costs, when compared to patients not using rtCGM ( P < .05). They also experienced fewer hospital admissions ( P < .05) and lower A1C ( P < .05) during the postindex year.

conclusionsUse of rtCGM by patients with T1DM is associated with lower health care costs, fewer hospital admissions, and better glycemic control.

Indexed as

Blood GlucoseBlood Glucose Self-MonitoringComputer SystemsCross-Sectional StudiesDiabetes Mellitus, Type 1FemaleGlycated HemoglobinHealth Care CostsHospitalizationHumansMaleMiddle AgedRetrospective StudiesBlood GlucoseGlycated Hemoglobinhemoglobin A1c protein, humanA1Cclaims analysiscontinuous glucose monitoringinsulinrtCGMtype 1 diabetes

Identifiers

PMID29737202
PMCPMC6134311

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Registered trials

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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.