Continuous Glucose Monitoring in Hospital Settings: Enhancing Patient Care and Outcomes.

Eileen R Faulds, Michael Hughes

Abstract readReview

In one paragraph

Review in The Medical clinics of North America, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing papers in PubMed

–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

1 citing paper in PubMed.

Alogliptin-Pioglitazone and Insulin Regimen for Inpatient Glycemic Control: A Randomized Continuous Glucose Monitoring Pilot Trial.AACE endocrinology and diabetes
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

2 authors.

Eileen R FauldsThe Ohio State University College of Nursing, The Ohio State University Wexner Medical Center, Columbus, OH, USA. Electronic address: Eileen.faulds@osumc.edu.

Michael HughesDivision of Endocrinology, Metabolism, and Lipids, Department of Medicine, Emory University, 101 Woodruff Circle, Room 1023, Atlanta, GA 30322, USA.

Funding

In-hospital use of Automated Insulin Delivery (AID): Current state and future potentialK23DK138267 · NIDDK · STANFORD UNIVERSITY · PI Michael Samuel Hughes · 2024 to 2026

$549k

Developing a diabetes self-management mHealth simulation platform for youthK23NR020051 · NINR · OHIO STATE UNIVERSITY · PI FAULDS, EILEEN R. · 2021 to 2023

$401k

NIDDK NIH HHS K23 DK138267NINR NIH HHS K23 NR020051

6 · The paper itself

Abstract

Continuous glucose monitoring (CGM) is increasingly recognized as a valuable tool for inpatient diabetes management, offering continuous data streams that overcome the limitations of intermittent point-of-care testing. This review summarizes current evidence on CGM use in both critical care and non-ICU settings, highlighting improvements in time in range, hypoglycemia detection, and workflow efficiency. Implementation strategies, including hybrid protocols, calibration approaches, alarm management, and electronic health record integration, are discussed alongside regulatory considerations and guideline recommendations. CGM not only improves safety and patient care today but also lays the foundation for future AI-driven clinical decision support in hospitals.

Indexed as

Blood GlucoseContinuous Glucose MonitoringDiabetes MellitusCritical CareHospitalsHumansHypoglycemiaBlood GlucoseContinuous glucose monitoring (CGM)Critical careGlucose monitoringHospitalInpatientNon-critical care

Identifiers

PMID42036157

DOI10.1016/j.mcna.2025.11.008

PMCPMC13738994

What OpenQuestion holds

Textmetadata

Read underepoch 390

Registered trials

None linked

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.