Evidence map›Paper›PMID 27098827›Full record

ArticleBMJ open2016

Royal College of General Practitioners Research and Surveillance Centre (RCGP RSC) sentinel network: a cohort profile.

Ana Correa, William Hinton, Andrew McGovern, Jeremy van Vlymen, Ivelina Yonova, Simon Jones, Simon de Lusignan

Abstract readEvaluation Study
In one paragraph

Article in BMJ open, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 121 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
121citing papers in PubMed, 2 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

121 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
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  6. Sentinel Networks for the Surveillance of Overweight and Obesity: A Scoping Review.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026
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  15. Association of strong opioids and antibiotics prescribing with GP burnout: a retrospective cross-sectional study.The British journal of general practice : the journal of the Royal College of General Practitioners · 2023
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  19. Observational
  20. Observational

61 more citing papers are in PubMed but not listed here.

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.

Ana CorreaDepartment of Clinical and Experimental Medicine, University of Surrey, Guildford, UK Royal College of General Practitioners, London, UK.
William HintonDepartment of Clinical and Experimental Medicine, University of Surrey, Guildford, UK.
Andrew McGovernDepartment of Clinical and Experimental Medicine, University of Surrey, Guildford, UK.
Jeremy van VlymenDepartment of Clinical and Experimental Medicine, University of Surrey, Guildford, UK.
Ivelina YonovaDepartment of Clinical and Experimental Medicine, University of Surrey, Guildford, UK Royal College of General Practitioners, London, UK.
Simon JonesDivision of Healthcare Delivery Science, New York University, New York, NY, USA.
Simon de LusignanDepartment of Clinical and Experimental Medicine, University of Surrey, Guildford, UK Royal College of General Practitioners, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe Royal College of General Practitioners Research and Surveillance Centre (RCGP RSC) is one of the longest established primary care sentinel networks. In 2015, it established a new data and analysis hub at the University of Surrey. This paper evaluates the representativeness of the RCGP RSC network against the English population. PARTICIPANTS AND

methodThe cohort includes 1 042 063 patients registered in 107 participating general practitioner (GP) practices. We compared the RCGP RSC data with English national data in the following areas: demographics; geographical distribution; chronic disease prevalence, management and completeness of data recording; and prescribing and vaccine uptake. We also assessed practices within the network participating in a national swabbing programme. FINDINGS TO DATE: We found a small over-representation of people in the 25-44 age band, under-representation of white ethnicity, and of less deprived people. Geographical focus is in London, with less practices in the southwest and east of England. We found differences in the prevalence of diabetes (national: 6.4%, RCPG RSC: 5.8%), learning disabilities (national: 0.44%, RCPG RSC: 0.40%), obesity (national: 9.2%, RCPG RSC: 8.0%), pulmonary disease (national: 1.8%, RCPG RSC: 1.6%), and cardiovascular diseases (national: 1.1%, RCPG RSC: 1.2%). Data completeness in risk factors for diabetic population is high (77-99%). We found differences in prescribing rates and costs for infections (national: 5.58%, RCPG RSC: 7.12%), and for nutrition and blood conditions (national: 6.26%, RCPG RSC: 4.50%). Differences in vaccine uptake were seen in patients aged 2 years (national: 38.5%, RCPG RSC: 32.8%). Owing to large numbers, most differences were significant (p<0.00015). FUTURE PLANS: The RCGP RSC is a representative network, having only small differences with the national population, which have now been quantified and can be assessed for clinical relevance for specific studies. This network is a rich source for research into routine practice.

Indexed as

General PracticePatient SelectionPrimary Health CareAcademies and InstitutesAdolescentAdultAgedAged, 80 and overChildChild, PreschoolEnglandFemaleGeneral PractitionersHumansInfantInfant, NewbornEPIDEMIOLOGYPRIMARY CAREPUBLIC HEALTHSTATISTICS & RESEARCH METHODS

Identifiers

PMID27098827
PMCPMC4838708

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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.