Evidence map›Paper›PMID 36433805›Full record

ArticleJournal of diabetes science and technology2023

Using Technology to Improve Diabetes Care in Hospital: The Challenge and the Opportunity.

Daniel Flanagan, Parizad Avari, Pratik Choudhary, Alistair Lumb, Shivani Misra, Gerry Rayman, Ketan Dhatariya

Open access · greenAbstract read
In one paragraph

Article in Journal of diabetes science and technology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 27% of its field
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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Guideline
  2. Article
  3. Article
  4. 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

7 authors at 6 institutions in 1 country.

Daniel FlanaganDepartment of Endocrinology, University Hospital Plymouth, Plymouth, UK.
Parizad AvariDepartment of Diabetes and Endocrinology, Imperial College Healthcare NHS Trust, London, UK.ORCID 0000-0001-9047-3589
Pratik ChoudharyDiabetes Research Centre, University of Leicester, Leicester, UK.ORCID 0000-0001-7635-4735
Alistair LumbOxford Centre for Diabetes, Endocrinology and Metabolism, Churchill Hospital, Oxford, UK.
Shivani MisraDepartment of Metabolism, Digestion and Reproduction, Imperial College London, London, UK.
Gerry RaymanIpswich Diabetes Centre, East Suffolk and North East Essex Foundation Trust, Ipswich, UK.ORCID 0000-0003-3331-7015
Ketan DhatariyaElsie Bertram Diabetes Centre, Norfolk and Norwich University Hospitals NHS Foundation Trust, UK.ORCID 0000-0003-3619-9579
Churchill Hospital · GBEast Suffolk and North Essex NHS Foundation Trust · GBImperial College Healthcare NHS Trust · GBImperial College London · GBUniversity of East Anglia · GBUniversity of Leicester · GB

Funding

Department of Health
6 · The paper itself

Abstract

The past 10 years have seen a revolution in technology improving the lives of people with diabetes. This has implications for diabetes care in hospitalized inpatients. These technological developments have the potential to significantly improve the care of people with diabetes in hospital. Combining point of care glucose monitoring, electronic prescribing, electronic observations with electronic referral, and electronic health records allow teams to daily oversee the whole hospital population. To make the most of these tools as well as developing the use of pumps and glucose sensors in hospital, the diabetes team needs to work in new ways. To date, very little work has described how these should be combined. We describe how this technology can be combined to improve diabetes care in hospital.

Indexed as

Blood Glucose Self-MonitoringDiabetes MellitusBlood GlucoseHospitalsHumansTechnologyBlood Glucosediabetes mellituselectronic health recordhospital caretechnology

Identifiers

PMID36433805
PMCPMC10012371
OpenAlexW4309990788

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.