Evidence map›Paper›PMID 28748706›Full record

Trial reportJournal of diabetes science and technology2018

The Development of New Composite Metrics for the Comprehensive Analytic and Visual Assessment of Hypoglycemia Using the Hypo-Triad.

Andreas Thomas, John Shin, Boyi Jiang, Chantal McMahon, Ralf Kolassa, Robert A Vigersky

Open access · bronzeAbstract readRandomized Controlled Trial
In one paragraph

Trial report 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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

3 citing papers in PubMed, 10 citations in OpenAlex.

  1. Trial
  2. Review
  3. 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

6 authors at 2 institutions in 2 countries.

Andreas Thomas1 Medtronic GmbH, Pirna, Germany.
John Shin2 Medtronic Diabetes, Northridge, CA, USA.
Boyi Jiang2 Medtronic Diabetes, Northridge, CA, USA.
Chantal McMahon2 Medtronic Diabetes, Northridge, CA, USA.
Ralf Kolassa3 Diabetologische Schwerpunktpraxis, Priamosstraße, Bergheim/Erft, Germany.
Robert A Vigersky2 Medtronic Diabetes, Northridge, CA, USA.
Medtronic (United States) · USMedtronic (Germany) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundQuantifying hypoglycemia has traditionally been limited to using the frequency of hypoglycemic events during a given time interval using data from blood glucose (BG) testing. However, continuous glucose monitoring (CGM) captures three parameters-a Hypo-Triad-unavailable with BG monitoring that can be used to better characterize hypoglycemia: area under the curve (AUC), time (duration of hypoglycemia), and frequency of daily episodes below a specified threshold.

methodsWe developed two new analytic metrics to enhance the traditional Hypo-Triad of CGM-derived data to more effectively capture the intensity of hypoglycemia (IntHypo) and overall hypoglycemic environment called the "hypoglycemia risk volume" (HypoRV). We reanalyzed the CGM data from the ASPIRE In-Home study, a randomized, controlled trial of a sensor-integrated pump system with a low glucose threshold suspend feature (SIP+TS), using these new metrics and compared them to standard metrics of hypoglycemia.

resultsIntHypo and HypoRV provide additional insights into the benefit of a SIP+TS system on glycemic exposure when compared to the standard reporting methods. In addition, the visual display of these parameters provides a unique and intuitive way to understand the impact of a diabetes intervention on a cohort of subjects as well as on individual patients.

conclusionThe IntHypo and HypoRV are new and enhanced ways of analyzing CGM-derived data in diabetes intervention studies which could lead to new insights in diabetes management. They require validation using existing, ongoing, or planned studies to determine whether they are superior to existing metrics.

Indexed as

Blood GlucoseBlood Glucose Self-MonitoringDiabetes MellitusHumansHypoglycemiaHypoglycemic AgentsInsulinBlood GlucoseHypoglycemic AgentsInsulincomposite metriccontinuous glucose monitoringdiabeteshypoglycemia

Identifiers

PMID28748706
PMCPMC5761982
OpenAlexW2741195339

What OpenQuestion holds

Textmetadata
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.