ArticleJournal of diabetes science and technology2016
Use of Color Range Indicator Technology on Point-of-Care Meters May Ease Self-Management of Blood Glucose.
Article in Journal of diabetes science and technology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed.
- Use of Blood Glucose Meters Featuring Color Range Indicators Improves Glycemic Control in Patients With Diabetes in Comparison to Blood Glucose Meters Without Color (ACCENTS Study).Journal of diabetes science and technology · 2018Trial
- Improved Glycemic Control Using a Bluetooth®-Connected Blood Glucose Meter and a Mobile Diabetes App: Real-World Evidence From Over 144 000 People With Diabetes.Journal of diabetes science and technology · 2024Article
- Budget Impact of Improved Diabetes Management by Utilization of Glucose Meters With a Color-Range Indicator-Comparison of Five European Healthcare Systems.Journal of diabetes science and technology · 2020Article
Corrections and comments
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The study by Grady et al is timely and exciting striving toward better understanding of relevant human factors in the design of their glucose meter displays. Their investigation focused on meaningful device optimization objectives that could be important to improving diabetes self-management. Grady et al are to be complimented for their development of a PC-based computer simulator to further our understanding of how patients interpret their glucose meter readings. What is interesting is that important, and hopefully more appropriate decisions, can be made daily or hourly when a meter is capable of displaying the most relevant information in a manner that will prompt the user toward more favorable glucose management decisions.
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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.