Evidence mapPaperPMID 39158974Full record

ArticleJournal of diabetes science and technology2024

Fear of Hypoglycemia and Diabetes Distress: Expected Reduction by Glucose Prediction.

Dominic Ehrmann, Luigi Laviola, Lilli-Sophie Priesterroth, Norbert Hermanns, Nils Babion, Timor Glatzer

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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, 1 of them a synthesis that pooled it.

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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Predicting Glucose Values: A New Era for Continuous Glucose Monitoring.Journal of diabetes science and technology · 2024
    Article
  6. Article
  7. The Promise of Hypoglycemia Risk Prediction.Journal of diabetes science and technology · 2024
    Article
  8. Article
  9. 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

6 authors.

Dominic EhrmannResearch Institute Diabetes Academy Mergentheim (FIDAM), Bad Mergentheim, Germany.ORCID 0000-0002-5794-5596
Luigi LaviolaPoliclinico University of Bari "Aldo Moro," Bari, Italy.
Lilli-Sophie PriesterrothResearch Institute Diabetes Academy Mergentheim (FIDAM), Bad Mergentheim, Germany.
Norbert HermannsResearch Institute Diabetes Academy Mergentheim (FIDAM), Bad Mergentheim, Germany.ORCID 0000-0002-2903-2677
Nils BabionRoche Diabetes Care GmbH, Mannheim, Germany.
Timor GlatzerRoche Diabetes Care GmbH, Mannheim, Germany.ORCID 0009-0009-5644-2098

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundExtended glucose predictions are novel in diabetes management. Currently, there is no solution widely available. People with diabetes mellitus (DM) are offered features like trend arrows and limited predictions linked to predefined situations. Thus, the impact of extended glucose predictions on the burden of diabetes and person-reported outcomes (PROs) is unclear.

methodsIn this online survey, 206 people with type 1 and type 2 diabetes (T1D and T2D), 70.9% and 29.1%, respectively, who participated in the dia·link online panel and were current continuous glucose monitoring (CGM) users, were presented with different scenarios of hypothetical extended glucose predictions. They were asked to imagine how low glucose predictions of 30 minutes and overnight as well as glucose predictions up to 2 hours would influence their diabetes management. Subsequently, they completed the Hypoglycemia Fear Survey II (HFS-II) and the T1 Diabetes Distress Scale (T1-DDS) by rating each item on a 5-point scale (-2: strong deterioration to +2: strong improvement) according to the potential change due to using glucose predictions.

resultsFor all glucose prediction periods, 30 minutes, up to 2 hours, and at nighttime, the surveyed participants expected moderate improvements in both fear of hypoglycemia (HFS-II: 0.57 ± 0.49) and overall diabetes distress (T1-DDS = 0.44 ± 0.49). The T1-DDS did not differ for type of therapy or diabetes.

conclusionsPeople with T1D and T2D would see glucose predictions as a potential improvement regarding reduced fear of hypoglycemia and diabetes distress. Therefore, glucose predictions represent a value for them in lowering the burden of diabetes and its management.

Indexed as

Blood GlucoseBlood Glucose Self-MonitoringDiabetes Mellitus, Type 1Diabetes Mellitus, Type 2FearHypoglycemiaAdultAgedFemaleHumansMaleMiddle AgedPsychological DistressSurveys and QuestionnairesYoung AdultBlood Glucoseartificial intelligencecontinuous glucose monitoringdiabetes distressfear of hypoglycemiaglucose predictionperson-reported outcomes

Identifiers

PMID39158974
PMCPMC11418513

What Socratic holds

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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 Socratic graph.