ReviewCurrent diabetes reports2025
Inpatient Hypoglycemic Rate Reduction Through the Implementation of Prescriber Targeted Decision Support Tools.
Review in Current diabetes reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
- Challenges with Implementing Predictive Models for Inpatient Hypoglycemic Events in Clinical Decision Support.Applied clinical informatics · 2025Article
- Implementation of a Multihospital Electronic Medical Record-Based Insulin Order Set to Reduce Hypoglycemic Events.AACE endocrinology and diabetesArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purpose of reviewHypoglycemia has been shown to increase mortality and length of hospital stay and is now reportable to the Centers for Medicare and Medicaid Services as a quality measure. The purpose of this article is to review clinical decision support (CDS) tools designed to reduce inpatient hypoglycemic events. RECENT
findingsCDS tools such as order set development, medication alerts, and data visibility have all been shown to be valuable tools in improving glycemic performance. This is especially true for hyperglycemic events with mixed results in hypoglycemia prevention. CDS solutions may be targeted directly to healthcare professionals or to specialty diabetes management teams to reduce hypoglycemia. Not all organizations have the financial resources to develop a diabetes management team so non-interruptive alerts may serve as an important tool to alert health care professionals of individuals with additional risk factors for the development of hypoglycemia. CDS can provide a mechanism to reduce the risk of hypoglycemia in hospitalized individuals. Although new research is promising, more studies are needed to determine future directions including the impact and feasibility of continuous glucose monitoring and predictive models to improve overall glycemic performance.
Indexed as
Identifiers
39754663What 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.