Evidence map›Paper›PMID 33401946›Full record

Trial reportJournal of diabetes science and technology2022

Mitigation of Rebound Hyperglycemia With Real-Time Continuous Glucose Monitoring Data and Predictive Alerts.

Giada Acciaroli, John B Welsh, Halis Kaan Akturk

Registry-linked trialOpen access · bronzeAbstract readClinical Trial
In one paragraph

Trial report in Journal of diabetes science and technology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02671968 (Real-Time Continuous Glucose Monitoring), which is not on this 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
2.9field-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.

NCT02671968 nacompletednot on this map

Real-Time Continuous Glucose Monitoring (RT-CGM) in Patients With Type 1 Diabetes at High Risk for Low Glucose Values Using Multiple Daily Injections (MDI) in Germany (HYPODE-STUDY)

TypeinterventionalSponsorScience Consulting in DiabetesRan2016 to 2017Enrolled141ConditionsDiabetesArmsContinuous Glucose Monitoring System
3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Review
  5. Article
  6. Article
  7. Rebound Hypoglycemia and Hyperglycemia in Type 1 Diabetes.Journal of diabetes science and technology · 2024
    Article
  8. Article
  9. Nocturnal Hypoglycemia in the Era of Continuous Glucose Monitoring.Journal of diabetes science and technology · 2024
    Review
  10. Article
  11. Article
  12. Observational
  13. Article
  14. Article
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

3 authors at 2 institutions in 1 country.

Giada AcciaroliDexcom, Inc., San Diego, CA, USA.
John B WelshDexcom, Inc., San Diego, CA, USA.ORCID 0000-0001-9243-5228
Halis Kaan AkturkBarbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.ORCID 0000-0003-4518-5179
Dexcom (United States) · USUniversity of Colorado Anschutz Medical Campus · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundExcess carbohydrate intake during hypoglycemia can lead to rebound hyperglycemia (RH). We investigated associations between RH and use of real-time continuous glucose monitoring (rtCGM) and an rtCGM system's predictive alert.

methodsRH events were series of sensor glucose values (SGVs) >180 mg/dL starting within two hours of an antecedent SGV <70 mg/dL. Events were characterized by their frequency, duration (consecutive SGVs >180 mg/dL × five minutes), and severity (area under the glucose concentration-time curve). To assess the impact of rtCGM, data gathered during the four-week baseline phase (without rtCGM) and four-week follow-up phase (with rtCGM) from 75 participants in the HypoDE clinical trial (NCT02671968) of hypoglycemia-unaware individuals were compared. To assess the impact of predictive alerts, we identified a convenience sample of 24 518 users of an rtCGM system without predictive alerts who transitioned to a system whose predictive alert signals an SGV ≤55 mg/dL within 20 minutes (Dexcom G5 and G6, respectively). RH events from periods of blinded versus unblinded rtCGM wear and from periods of G5 and G6 wear were compared with paired t tests.

resultsCompared to RH events in the HypoDE baseline phase, the mean frequency, duration, and severity of events fell by 14%, 12%, and 23%, respectively, in the follow-up phase (all

conclusionsRebound hypreglycemia can be objectively quantified and mitigated with rtCGM and rtCGM-based predictive alerts.

Indexed as

Diabetes Mellitus, Type 1HyperglycemiaHypoglycemiaBlood GlucoseBlood Glucose Self-MonitoringHumansHypoglycemic AgentsBlood GlucoseHypoglycemic Agentscontinuous glucose monitoringglucose variabilityHypoDEpredictive alertsreal-world analysisrebound hyperglycemia

Identifiers

PMID33401946
PMCPMC9294577
OpenAlexW3118745697

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.