Evidence map›Paper›PMID 27884846›Full record

Observational studyBMJ open2016

Real-world evidence studies into treatment adherence, thresholds for intervention and disparities in treatment in people with type 2 diabetes in the UK.

Andrew McGovern, William Hinton, Ana Correa, Neil Munro, Martin Whyte, Simon de Lusignan

Abstract readMulticenter StudyObservational Study
In one paragraph

Observational study in BMJ open, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
–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

31 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
  2. Article
  3. Article
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  5. Article
  6. Barriers and Facilitators to the Initiation of Injectable Therapies for Type 2 Diabetes Mellitus: A Mixed Methods Study.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2022
    Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Observational
  12. Effect of type 1 diabetes and type 2 diabetes on the risk of venous thromboembolism.Diabetic medicine : a journal of the British Diabetic Association · 2021
    Article
  13. Trends in diabetes medication use in Australia, Canada, England, and Scotland: a repeated cross-sectional analysis in primary care.The British journal of general practice : the journal of the Royal College of General Practitioners · 2021
    Article
  14. Article
  15. Article
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  17. Observational
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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

6 authors.

Andrew McGovernDepartment of Clinical and Experimental Medicine, University of Surrey, Guildford, UK.ORCID 0000-0002-6833-9399
William HintonDepartment of Clinical and Experimental Medicine, University of Surrey, Guildford, UK.
Ana CorreaDepartment of Clinical and Experimental Medicine, University of Surrey, Guildford, UK.
Neil MunroDepartment of Clinical and Experimental Medicine, University of Surrey, Guildford, UK.
Martin WhyteDepartment of Clinical and Experimental Medicine, University of Surrey, Guildford, UK.
Simon de LusignanDepartment of Clinical and Experimental Medicine, University of Surrey, Guildford, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe University of Surrey-Lilly Real World Evidence (RWE) diabetes cohort has been established to provide insights into the management of type 2 diabetes mellitus (T2DM). There are 3 areas of study due to be conducted to provide insights into T2DM management: exploration of medication adherence, thresholds for changing diabetes therapies, and ethnicity-related or socioeconomic-related disparities in management. This paper describes the identification of a cohort of people with T2DM which will be used for these analyses, through a case finding algorithm, and describes the characteristics of the identified cohort.

participantsA cohort of people with T2DM was identified from the Royal College of General Practitioners Research and Surveillance Centre (RCGP RSC) data set. This data set comprises electronic patient records collected from a nationally distributed sample of 130 primary care practices across England with scope to increase the number of practices to 200. FINDINGS TO DATE: A cohort (N=58 717) of adults with T2DM was identified from the RCGP RSC population (N=1 260 761), a crude prevalence of diabetes of 5.8% in the adult population. High data quality within the practice network and an ontological approach to classification resulted in a high level of data completeness in the T2DM cohort; ethnicity identification (82.1%), smoking status (99.3%), alcohol use (93.3%), glycated haemoglobin (HbA1c; 97.9%), body mass index (98.0%), blood pressure (99.4%), cholesterol (87.4%) and renal function (97.8%). Data completeness compares favourably to other, similarly large, observational cohorts. The cohort comprises a distribution of ages, socioeconomic and ethnic backgrounds, diabetes complications, and comorbidities, enabling the planned analyses. FUTURE PLANS: Regular data uploads from the RCGP RSC practice network will enable this cohort to be followed prospectively. We will investigate medication adherence, explore thresholds and triggers for changing diabetes therapies, and investigate any ethnicity-related or socioeconomic-related disparities in diabetes management.

Indexed as

Drug MonitoringHealthcare DisparitiesAdultAgedAged, 80 and overAge DistributionCohort StudiesComorbidityDiabetes Mellitus, Type 1Diabetes Mellitus, Type 2EnglandEthnicityFemaleGlycated HemoglobinHumansMaleGlycated HemoglobinDIABETES & ENDOCRINOLOGYPRIMARY CARE

Identifiers

PMID27884846
PMCPMC5168506

What OpenQuestion holds

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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.