Evidence map›Paper›PMID 30896290›Full record

ArticleDiabetes technology & therapeutics2019

Real-World Hypoglycemia Avoidance with a Continuous Glucose Monitoring System's Predictive Low Glucose Alert.

Sarah Puhr, Mark Derdzinski, John B Welsh, Andrew Scott Parker, Tomas Walker, David A Price

Abstract read
In one paragraph

Article in Diabetes technology & therapeutics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  15. The impact of technology on impaired awareness of hypoglycaemia in type 1 diabetes.Therapeutic advances in endocrinology and metabolism · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Sarah PuhrDexcom, Inc., San Diego, California.
Mark DerdzinskiDexcom, Inc., San Diego, California.
John B WelshDexcom, Inc., San Diego, California.
Andrew Scott ParkerDexcom, Inc., San Diego, California.
Tomas WalkerDexcom, Inc., San Diego, California.
David A PriceDexcom, Inc., San Diego, California.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundProgrammable and fixed auditory and/or vibratory threshold alerts are essential features of real-time continuous glucose monitoring (rtCGM) systems that provide users time to intervene before the onset of clinical hypoglycemia or hyperglycemia. A sixth-generation rtCGM system from Dexcom, Inc. (G6) includes a new alert that is triggered when an algorithm predicts that an estimated glucose value ≤55 mg/dL will occur within 20 min, allowing users more time to act to avoid hypoglycemia. We examined whether this predictive low glucose alert provided added benefit to traditional low threshold alerts.

methodsWe analyzed glucose values from an anonymized sample of 1424 patients who transitioned to G6 from the preceding fifth-generation system (G5) with no predictive alert. Users with the low threshold alert setting of 70 or 80 mg/dL were evaluated separately. Receiver users, those who disabled the predictive low glucose alert, or those with <30 days of data immediately before or after the transition to G6 were excluded.

resultsPercent time <54, ≤55, <70, and >250 mg/dL fell significantly after the transition to G6, independent of low threshold alert setting. Time in range improved for G6 users with a low threshold alert setting of 70 mg/dL.

conclusionsAdvance warning provided by predictive low glucose alerts may further reduce hypoglycemia among rtCGM-experienced users.

Indexed as

Blood Glucose Self-MonitoringInsulin Infusion SystemsBlood GlucoseDiabetes Mellitus, Type 1HumansHypoglycemiaHypoglycemic AgentsInsulinBlood GlucoseHypoglycemic AgentsInsulinAlarmsAlertsContinuous glucose monitoringHypoglycemiaPredictive alerts

Identifiers

PMID30896290
PMCPMC6477579

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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.