Evidence map›Paper›PMID 26346935›Full record

ArticleBMC research notes2015

Variation among cardiovascular risk calculators in relative risk increases with identical risk factor increases.

G Michael Allan, Faeze Nouri, Christina Korownyk, Michael R Kolber, Ben Vandermeer, James McCormack

Open access · goldAbstract read
In one paragraph

Article in BMC research notes, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 32% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
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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 at 1 institution in 1 country.

G Michael AllanEvidence-Based Medicine, Department of Family Medicine-Research Program, University of Alberta, 6-10 University Terrace, Edmonton, AB, T6G 2T4, Canada. michael.allan@ualberta.ca.
Faeze NouriEvidence-Based Medicine, Department of Family Medicine-Research Program, University of Alberta, 6-10 University Terrace, Edmonton, AB, T6G 2T4, Canada. faeze.nouri@gmail.com.
Christina KorownykEvidence-Based Medicine, Department of Family Medicine-Research Program, University of Alberta, 6-10 University Terrace, Edmonton, AB, T6G 2T4, Canada. tina.korownyk@ualberta.ca.
Michael R KolberEvidence-Based Medicine, Department of Family Medicine-Research Program, University of Alberta, 6-10 University Terrace, Edmonton, AB, T6G 2T4, Canada. mkolber@ualberta.ca.
Ben VandermeerAlberta Research Centre for Health Evidence, University of Alberta, Edmonton, AB, Canada. bv1@ualberta.ca.
James McCormackFaculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, BC, Canada. james.mccormack@ubc.ca.
University of Alberta · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRisk estimates for the same patient can vary substantially among cardiovascular risk calculators and the reasons are not fully explained. We compared the relative risk increases for consistent risk factors changes across different cardiovascular risk calculators.

methodsFive clinicians independently selected 16 calculators providing absolute risk estimations. Hypothetical patients were generated using a combination of seven risk factors [age, gender, smoking, blood pressure, high-density lipoprotein (HDL), total cholesterol and diabetes] dichotomized to high and low risk, generating 2(7) patients (128 total). Relative risk increases due to specific risk factors were determined and compared.

resultsThe 16 selected calculators were from six countries, used 5- and 10-year predictions, and estimated CVD or coronary heart disease risk. Across the different calculators for non-diabetic patients, changing age from 50 to 70 produced average relative risk increases from 82 to 395%, gender (female to male) 35-225%, smoking status 31-118%, systolic blood pressure (120-160 mmHg) 16-124%, total cholesterol (4-7 mmol/L) 51-302% and HDL (1.3-0.8 mmol/L) 27-133%. Similar results were found among diabetic patients. Some calculators appeared to have consistently higher relative risk increases over multiple risk factors.

conclusionsCardiovascular risk calculators weigh the same risk factors differently. For each risk factor, the relative risk increase from the calculator with the highest increase was generally three to eight times greater than the relative risk increase from the calculator with lowest increase. This likely contributes to some of the inconsistency in risk calculator estimation. It also limits the use of risk calculators in estimating the benefits of therapy.

Indexed as

AgedAge FactorsBlood PressureCardiovascular DiseasesCholesterolDiabetes MellitusFemaleHumansLipoproteins, HDLMaleMiddle AgedReproducibility of ResultsRisk AssessmentRisk FactorsSensitivity and SpecificitySex FactorsCholesterolLipoproteins, HDL

Identifiers

PMID26346935
PMCPMC4561470
OpenAlexW1678513084

What OpenQuestion holds

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LicenceCC BY
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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.