Evidence map›Paper›PMID 36209371›Full record

ArticleDiabetic medicine : a journal of the British Diabetic Association2023

Analysis of real-world capillary blood glucose data to help reduce HbA

Mohammad R Eissa, Mohammed Benaissa, Tim Good, Zheng Hui, Carla Gianfrancesco, Carolin Ferguson, Jackie Elliott

Open access · hybridAbstract read
In one paragraph

Article in Diabetic medicine : a journal of the British Diabetic Association, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.1field-weighted citation impact, top 20% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Analysis of real-world capillary blood glucose data to help reduce HbADiabetic medicine : a journal of the British Diabetic Association · 2023
    Article
  5. Article
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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 2 institutions in 1 country.

Mohammad R EissaDepartment of Electronic and Electrical Engineering, University of Sheffield, Sheffield, UK.ORCID 0000-0002-5584-5815
Mohammed BenaissaDepartment of Electronic and Electrical Engineering, University of Sheffield, Sheffield, UK.
Tim GoodDepartment of Electronic and Electrical Engineering, University of Sheffield, Sheffield, UK.
Zheng HuiDepartment of Electronic and Electrical Engineering, University of Sheffield, Sheffield, UK.
Carla GianfrancescoDepartment of Diabetes and Endocrinology, Sheffield Teaching Hospitals NHS FT, Sheffield, UK.
Carolin FergusonDepartment of Diabetes and Endocrinology, Sheffield Teaching Hospitals NHS FT, Sheffield, UK.
Jackie ElliottDepartment of Diabetes and Endocrinology, Sheffield Teaching Hospitals NHS FT, Sheffield, UK.ORCID 0000-0002-7867-9987
University of Sheffield · GBSheffield Teaching Hospitals NHS Foundation Trust · GB

Funding

National Institute for Health ResearchProgramme Grants for Applied Research
6 · The paper itself

Abstract

aimsTo examine real-world capillary blood glucose (CBG) data according to HbA

methodsA retrospective analysis stratified 682 adults with type 1 diabetes split into quartiles based on their HbA

resultsCBG readings in the target range (3.9-10 mmol/L) increase by ~10% across each CBG quartile (31% in the highest versus 63% in the lowest quartile, p < 0.05). The novel G2G table helps the treatment-based interpretation of data. Hypoglycaemia is often preceded by hyperglycaemia, and vice-versa, and is twice as likely in the highest HbA

conclusionsHbA

Indexed as

Diabetes Mellitus, Type 1HyperglycemiaHypoglycemiaAdultBlood GlucoseGlucoseHumansHypoglycemic AgentsRetrospective StudiesBlood GlucoseGlucoseHypoglycemic Agentscoefficient of variationglucose retesthyperglycaemiahypoglycaemiaproportions in target rangetime in range

Identifiers

PMID36209371
PMCPMC10091810
OpenAlexW4303857356

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.