Evidence map›Paper›PMID 30891673›Full record

ArticleDiabetes therapy : research, treatment and education of diabetes and related disorders2019

Establishing Expert, Multi-Disciplinary, Peer-Reviewed Consensus to Lead a Paradigm Shift in Optimal Blood Glucose Management.

Douglas A Robertson, Richard A Chudleigh, Simon D Gwynn, Carol Jairam, Kaushal Kansagra, Naresh Kanumilli, Adam Lester-George, Charlotte McMurray, Timothy C Warren

Abstract read
In one paragraph

Article in Diabetes therapy : research, treatment and education of diabetes and related disorders, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

9 authors.

Douglas A RobertsonLeighton Hospital, Crewe, UK. doug.robertson@nhs.net.
Richard A ChudleighSingleton Hospital, Swansea, UK.
Simon D GwynnTriducive Ltd., Tunbridge Wells, UK.
Carol JairamImperial College, London, UK.
Kaushal KansagraShotfield Medical Practice, Wallington, UK.
Naresh KanumilliNorthenden Group Practice, Manchester, UK.
Adam Lester-GeorgeLeLan Ltd, Bristol, UK.
Charlotte McMurraySheffield Clinical Commissioning Group, Sheffield, UK.
Timothy C WarrenTriducive Ltd., Tunbridge Wells, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe National Health Service (NHS) in the UK appears unclear on how blood glucose monitoring (BGM) should be used to support diabetes patient care and empowerment, and local interpretation of NICE guidance on the availability of devices varies widely. An expert group of clinicians and commissioners considered BGM in terms of access, guidance, resources, data integration, patient education, and patient choice.

methodsThe group generated a series of questions on BGM into a 38-statement questionnaire using Delphi methodology. This was circulated to clinicians involved in diabetes management across the UK, receiving 222 responses.

resultsFrom the questionnaire, 35 of the 38 statement responses showed > 66% consensus, with 26 of these achieving > 90% agreement.

conclusionThe expert group reviewed the responses and made recommendations based on the clear professional consensus demonstrated. These included the need to use new technology and data integration and that wider factors, including patient choice rather than cost alone, should inform formulary inclusion of BGM equipment.

fundingLifeScan U.K. Ltd.

Indexed as

BGMBlood glucoseConsensusGlycemic controlMonitoringType 1 diabetesType 2 diabetes

Identifiers

PMID30891673
PMCPMC6531564

What OpenQuestion holds

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Registered trials

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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.