Evidence map›Paper›PMID 11859049›Full record

ArticleBMJ (Clinical research ed.)2002

Comparison of estimates and calculations of risk of coronary heart disease by doctors and nurses using different calculation tools in general practice: cross sectional study.

R J McManus, J Mant, C F M Meulendijks, R A Salter, H M Pattison, A K Roalfe, F D R Hobbs

Abstract readComparative StudyMulticenter Study
In one paragraph

Article in BMJ (Clinical research ed.), 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

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

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Diagnostic classification in patients with suspected deep venous thrombosis: physicians' judgement or a decision rule?The British journal of general practice : the journal of the Royal College of General Practitioners · 2010
    Article
  6. Article
  7. Article
  8. Perceptions of risk: understanding cardiovascular disease.Risk management and healthcare policy · 2010
    Article
  9. Article
  10. Article
  11. Article
  12. Primary prevention of coronary heart disease.BMJ (Clinical research ed.) · 2002
    Article
  13. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

R J McManusDepartment of Primary Care and General Practice, University of Birmingham, Birmingham B15 2TT.
J Mant
C F M Meulendijks
R A Salter
H M Pattison
A K Roalfe
F D R Hobbs

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo assess the effect of using different risk calculation tools on how general practitioners and practice nurses evaluate the risk of coronary heart disease with clinical data routinely available in patients' records.

designSubjective estimates of the risk of coronary heart disease and results of four different methods of calculation of risk were compared with each other and a reference standard that had been calculated with the Framingham equation; calculations were based on a sample of patients' records, randomly selected from groups at risk of coronary heart disease.

settingGeneral practices in central England.

participants18 general practitioners and 18 practice nurses.

main outcome measuresAgreement of results of risk estimation and risk calculation with reference calculation; agreement of general practitioners with practice nurses; sensitivity and specificity of the different methods of risk calculation to detect patients at high or low risk of coronary heart disease.

resultsOnly a minority of patients' records contained all of the risk factors required for the formal calculation of the risk of coronary heart disease (concentrations of high density lipoprotein (HDL) cholesterol were present in only 21%). Agreement of risk calculations with the reference standard was moderate (kappa=0.33-0.65 for practice nurses and 0.33 to 0.65 for general practitioners, depending on calculation tool), showing a trend for underestimation of risk. Moderate agreement was seen between the risks calculated by general practitioners and practice nurses for the same patients (kappa=0.47 to 0.58). The British charts gave the most sensitive results for risk of coronary heart disease (practice nurses 79%, general practitioners 80%), and it also gave the most specific results for practice nurses (100%), whereas the Sheffield table was the most specific method for general practitioners (89%).

conclusionsRoutine calculation of the risk of coronary heart disease in primary care is hampered by poor availability of data on risk factors. General practitioners and practice nurses are able to evaluate the risk of coronary heart disease with only moderate accuracy. Data about risk factors need to be collected systematically, to allow the use of the most appropriate calculation tools.

Indexed as

Community Health NursingCoronary DiseaseCross-Sectional StudiesEnglandFamily PracticeFemaleHumansMaleMedical RecordsNurse CliniciansPhysicians, FamilyPrimary Health CareReproducibility of ResultsRisk AssessmentRisk FactorsSensitivity and Specificity

Identifiers

PMID11859049
PMCPMC65668

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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.