ArticleDiabetes technology & therapeutics2023
Frequency and Detection of Insulin Infusion Site Failure in the Type 1 Diabetes Exchange Online Community.
Article in Diabetes technology & therapeutics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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.
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.
Who cites it
9 citing papers in PubMed, 15 citations in OpenAlex.
- Insulin Delivery Hardware: Pumps and Pens.Diabetes technology & therapeutics · 2026Article
- A Multicenter Study of an Investigational Extended Wear Insulin Infusion Set in Adults with Type 1 Diabetes.Diabetes technology & therapeutics · 2026Article
- Ketone Management in Pediatric Diabetes Centers in the USA: Current Practices and a Call for Improved Standardization.Hormone research in paediatrics · 2026Article
- Integrated hydrogel microneedle aptamer sensor for wearable insulin monitoring.Nature reviews bioengineering · 2025Article
- The Future of Automated Insulin Delivery Systems.Endocrine practice : official journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists · 2025Review
- Toward Automation: The Road Traveled and Road Ahead for Integrating Automated Insulin Delivery into Inpatient Care.Diabetes technology & therapeutics · 2025Review
- Development of a Real-time Force-based Algorithm for Infusion Failure Detection.Journal of diabetes science and technology · 2024Article
- Time to Moderate and Severe Hyperglycemia and Ketonemia Following an Insulin Pump Occlusion.Journal of diabetes science and technology · 2024Review
- Performance of a Continuous Subcutaneous Insulin Infusion (CSII) Pump With Acoustic Volume and Flow Sensing in Simulated High-Consequence Situations.IEEE open journal of engineering in medicine and biology · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 5 institutions in 1 country.
Funding
Abstract
Insulin infusion site (IIS) failures are a weakness in insulin pump therapy. We examined experience with IIS failures among U.S. individuals with diabetes on insulin pump through survey distributed to the T1D Exchange Online Community. Demographic factors, IIS characteristics, and diabetes-related perceptions were assessed by logistic regression to determine odds of higher (≥1 per month) or lower (<1 per month) reported IIS failure frequency. IIS failures were common; 41.4% reported ≥1 per month. IIS failure is usually detected through development of hyperglycemia rather than pump alarm. No assessed demographic factor or IIS characteristic was predictive; however, higher odds of ≥1 failure per month were associated with feelings of burnout (odds ratios [OR] 1.489 [1.024, 2.165]) and considering pump discontinuation (OR 2.233 [1.455, 3.427]). IIS failures are frequent and unpredictable, typically require hyperglycemia for detection, and are associated with negative perceptions. More should be done toward preventing IIS failures and/or detecting them sooner.
Indexed as
Identifiers
What OpenQuestion holds
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.