ArticleJournal of diabetes science and technology2010
Poor numeracy: the elephant in the diabetes technology room.
Article in Journal of diabetes science and technology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 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
15 citing papers in PubMed.
- Health Literacy in People with Type 1 Diabetes: A Scoping Review.International journal of environmental research and public health · 2025Article
- Glucose metrics and device satisfaction in adults with type 1 diabetes using different treatment modalities: a multicenter, real-world observational study.Acta diabetologica · 2025Observational
- Insulin Titration Guidelines for Patients With Type 1 Diabetes: It Is About Time!Journal of diabetes science and technology · 2023Review
- Diabetes Technology Meeting 2022.Journal of diabetes science and technology · 2023Article
- The role of personality, authoritarianism and cognition in the United Kingdom's 2016 referendum on European Union membership.Frontiers in psychology · 2023Article
- ISPAD Clinical Practice Consensus Guidelines 2022: Diabetes education in children and adolescents.Pediatric diabetes · 2022Article
- Outpatient insulin-related adverse events due to mix-up errors: Findings from two national surveillance systems, United States, 2012-2017.Pharmacoepidemiology and drug safety · 2021Article
- Effects of Diabetes Numeracy on Glycemic Control and Diabetes Self-Management Behaviors in Patients on Insulin Pump Therapy.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2019Article
- Health Care Professionals' Clinical Perspectives and Acceptance of a Blood Glucose Meter and Mobile App Featuring a Dynamic Color Range Indicator and Blood Sugar Mentor: Online Evaluation in Seven Countries.JMIR human factors · 2019Article
- Digital Diabetes Management Application Improves Glycemic Outcomes in People With Type 1 and Type 2 Diabetes.Journal of diabetes science and technology · 2018Article
- Influences on Technology Use and Efficacy in Type 1 Diabetes.Journal of diabetes science and technology · 2016Review
- The current status of bolus calculator decision-support software.Journal of diabetes science and technology · 2012Review
- Improved outcomes from diabetes monitoring: the benefits of better adherence, therapy adjustments, patient education, and telemedicine support.Journal of diabetes science and technology · 2012Article
- Consensus report: the current role of self-monitoring of blood glucose in non-insulin-treated type 2 diabetes.Journal of diabetes science and technology · 2011Article
- Self-monitoring of blood glucose and type 2 diabetes: new tricks for the old dog?Journal of diabetes science and technology · 2011Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
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.