SynthesisDiabetic medicine : a journal of the British Diabetic Association2026
Digital technologies and clinical decision support tools available for diabetes triage in the inpatient setting: A systematic literature review.
Synthesis in Diabetic medicine : a journal of the British Diabetic Association, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled 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.
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
1 citing paper in PubMed, 1 synthesis or guideline pooled it.
- Digital technologies and clinical decision support tools available for diabetes triage in the inpatient setting: A systematic literature review.Diabetic medicine : a journal of the British Diabetic Association · 2026Pooled it
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
aimsPeople with diabetes who are admitted to hospital are at risk of adverse in-hospital outcomes due to glycaemic dysregulation. Both the prevalence of diabetes and adverse outcomes are higher in rural and regional hospitals where infrastructure is more limited. Digital solutions may facilitate diabetes assessment on admission, so timely care coordination can be provided by inpatient diabetes teams. The aim of this systematic review was to identify and characterise the digital technologies and clinical decision support tools used to triage people with diabetes in the inpatient setting.
methodsSix electronic databases were searched for studies published between January 2014 and August 2024 on the use of digital technology or decision support tools to triage adult inpatients with diabetes during a hospital stay. Narrative synthesis was used to report results. The review followed PRISMA guidelines and was registered on PROSPERO (CRD 42021257655).
resultsNine studies met the inclusion criteria. Three developed or improved systems for referrals to an in-hospital diabetes team. The remaining six reported on efforts to improve information to support referral and included risk prediction for iatrogenic hypoglycaemia, persistent adverse glycaemia and in-hospital mortality among Intensive Care Unit patients with diabetes, and perioperative glycaemic management.
conclusionsDigital technologies and clinical decision support tools can improve inpatient triage of people with diabetes. A two-tiered approach consisting of a simple admission risk screen tool followed by dynamic electronic health record surveillance focussed on immediate iatrogenic hypoglycaemia risk for ongoing prioritisation would balance sensitivity at admission with dynamic inpatient risk monitoring.
Indexed as
Identifiers
What Socratic 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 Socratic graph.