Table 3

 Controlled trials examining the effectiveness of using a risk score to aid primary prevention of CVD

Study and participantsInterventionResults*Study quality
Outcome†Intervention (95% CI/SD)Control (95% CI/SD)
*Results for Montgomery et al unadjusted for baseline blood pressure (BP) and practice computer system.
†Change in numbers of patients receiving treatment or being referred to dietician.
‡Mantel–Haenszel p<0.02.
§Odds ratio (OR) <1 indicates less likely to take >1 class of drug.
CDSS, clinical decision support system; CVD, cardiovascular disease; DBP, diastolic blood pressure; GP, general practitioner; MI, myocardial infarction; SBP, systolic blood pressure; TC, total cholesterol.
Hall et al32: Hospital outpatients with type 2 diabetes, age 35–75, 52% menCVD risk score documented at front of patient notesAll patientsn = 162n = 161Alternate allocation of participants
 Diabetes treatment42% (34 to 50)36% (29 to 45)Doctors were unaware of allocation
 Hypertension treatment16% (10 to 22)10% (5 to 16)Length of follow up, losses to follow up unreported
 Lipid-lowering treatment12% (7 to 17)9% (4 to 14)
 Referral to dietician10% (6 to 15)13% (7 to 19)No power calculation
High-risk patients (>20% 5-year risk)n = 86n = 82
 Diabetes treatment44% (35 to 54)35% (24 to 47)
 Hypertension treatment23% (15 to 31)10% (3 to 17)
 Lipid-lowering treatment20% (12 to 27)9% (2 to 15)
 Referral to dietician10% (5 to 16)7% (1 to 17)
Montgomery et al29: General practice patients with hypertension, age 60–80, 46% men1. Computer-based CDSS and risk chartn = 202n = 130Cluster randomisation of general practices
Change in mean 5-year risk ⩾10%0.65 (0.39)0.77 (0.37)Participants not blinded to study group
Change in SBP (mm Hg)−0.04 (1.4)0.25 (1.7)‡Losses to follow up were 10% at 6 months and 14% at 12 months
Change in DBP (mm Hg)0.36 (0.74)−1.64 (1.03)‡
OR§ for taking 2 classes of drugs v 0 or 10.5 (0.2 to 0.9)0.5 (0.2 to 1.0)Power calculation using intracluster correlation coefficient from a published study
OR for taking ⩾3 classes of drugs v 0 or 10.3 (0.1 to 0.6)0.3 (0.2 to 0.7)
2. Chart only, interventions by GP or practice nurse. 6 and 12 month follow upn = 199
Change in mean 5-year risk ⩾10%−0.48 (0.35)
Change in SBP (mm Hg)2.66 (1.4)
Change in DBP (mm Hg)−1.1 (0.78)
OR§ for taking 2 classes of drugs v 0 or 11.0
OR for taking ⩾3 classes of drugs v 0 or 11.0
Hanon et al31” Patients with hypertension, age 19–74, 54% men10-year CVD risk communicated to GP as <15%, 15–20%, 20–30%, >30%. Controls had CVD risk estimated by physician. 8 week follow upn = 556n = 712
Framingham Anderson 1991 10-year CVD risk26 (12)25 (12)Individual randomisation
Physicians not blind to intervention
Change in SBP (mm Hg)−27−26No information on assessor blinding
Change in DBP (mm Hg)−15−1617% lost to follow up
Patients with BP <140/90 mm Hg64%62%No power calculation
Patients taking 2 hypertension drugs rather than 141%46%No confidence intervals reported
Hetlevik et al30: General practice patients with hypertension, age range not reported, 42% menComputer-based CDSS incorporating Westlund MI risk scoreChange in SBP (mm Hg)−2.3 (n = 816)0.8 (n = 1023)Cluster randomisation of health centres
Change in DBP (mm Hg)−1.8 (n = 816)−1.2 (n = 1023)56/213 (26%) of invited GPs were randomly assigned
Change in serum TC (mmol/l)0.04 (n = 581)−0.13 (n = 768)Unblinded
Uptake of computerised CDSS was only 12% in intervention group
Some risk score variables were missing for >91% of participant
No power calculation
No confidence intervals reported