Evidence mapPaperPMID 39158995Full record

ArticleJournal of diabetes science and technology2024

Clinical Usage and Potential Benefits of a Continuous Glucose Monitoring Predict App.

Timor Glatzer, Dominic Ehrmann, Bernhard Gehr, Maria Teresa Penalba Martinez, Joannet Onvlee, Gabriela Bucklar, Michèle Hofer, Miriam Stangs, Nora Wolf

Abstract read
In one paragraph

Article in Journal of diabetes science and technology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
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

9 citing papers in PubMed.

  1. Optimizing Continuous Glucose Monitoring Adoption in India: From Current Challenges to Future Solutions.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2026
    Review
  2. A Randomized Study of theJournal of the Endocrine Society · 2026
    Article
  3. Article
  4. Review
  5. Advances in Continuous Glucose Monitoring: Clinical Applications.Endocrinology and metabolism (Seoul, Korea) · 2025
    Review
  6. The Promise of Hypoglycemia Risk Prediction.Journal of diabetes science and technology · 2024
    Article
  7. Article
  8. Article
  9. Predicting Glucose Values: A New Era for Continuous Glucose Monitoring.Journal of diabetes science and technology · 2024
    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

9 authors.

Timor GlatzerRoche Diabetes Care GmbH, Mannheim, Germany.ORCID 0009-0009-5644-2098
Dominic EhrmannResearch Institute of the Diabetes-Academy Bad Mergentheim (FIDAM), Bad Mergentheim, Germany.ORCID 0000-0002-5794-5596
Bernhard Gehrm&i Fachklink Bad Heilbrunn, Bad Heilbrunn, Germany.
Maria Teresa Penalba MartinezHospital Universitari i Politècnic La Fe Valencia, Valencia, Spain.
Joannet OnvleeRadboud University Medical Center, Nijmegen, The Netherlands.
Gabriela BucklarRoche Diagnostics International AG, Basel, Switzerland.
Michèle HoferRoche Diabetes Care GmbH, Mannheim, Germany.
Miriam StangsRoche Diabetes Care GmbH, Mannheim, Germany.
Nora WolfRoche Diabetes Care GmbH, Mannheim, Germany.ORCID 0009-0002-1602-179X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Continuous glucose monitoring (CGM) has become an increasingly important tool for self-management in people with diabetes mellitus (DM). In this paper, we discuss recommendations on how to implement predictive features provided by the Accu-Chek SmartGuide Predict app in clinical practice. The Predict app's features are aimed at ultimately reducing diabetes stress and fear of hypoglycemia in people with DM. Furthermore, we explore the use cases and potential benefits of continuous glucose prediction, predictions of low glucose, and nocturnal hypoglycemia.

Indexed as

Blood GlucoseBlood Glucose Self-MonitoringDiabetes MellitusMobile ApplicationsContinuous Glucose MonitoringHumansHypoglycemiaBlood Glucosediabetes distressdiabetes self-managementglucose predictionhypoglycemiaquality of lifertCGM

Identifiers

PMID39158995
PMCPMC11418506

What Socratic 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 Socratic graph.