Evidence map›Paper›PMID 17194352›Full record

ArticleAtencion primaria2006

[The use of the Framingham-REGICOR equation in a primary care centre. Impact on primary prevention of cardiovascular diseases].

Fernando Parrilla Valero, Andreu Segura Benedicto, José Luis Segú Tolsa

Abstract readComparative StudyEnglish Abstract
In one paragraph

Article in Atencion primaria, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Fernando Parrilla ValeroUnidad de Vigilancia Epidemiológica Región Centro, Departament de Salut, Terrassa, Barcelona, Spain. parrilla.valero@cofb.net
Andreu Segura Benedicto
José Luis Segú Tolsa

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo evaluate the adequacy of cardiovascular primary prevention by calculating cardiovascular risk (CVR) with 2 different equations and to evaluate the economic impact of the resulting drug expenditure. DESIGN. By means of a transversal study of all the new cases of lipaemia diagnosed, patients were classified in 2 CVR categories (> or =20% and <20%). The Framingham-Wilson (FW) and Framingham-REGICOR (FR) equations were used to analyse the difference between observed treatments (really prescribed) and expected treatments. Costs were compared.

settingBarceloneta PCC, Barcelona, Spain. PATIENTS: Ninety-two cases of lipaemia (2002 and 2003) that met the following inclusion criteria: no coronary history, no taking of lipid-lowering drugs, and age between 35 and 74. There were 10 losses in the 92 individuals through lack of a variable for calculating CVR.

resultsAccording to the clinical criterion, 22 of the 82 patients were treated with medication (26.82%). The expected proportion of patients treated when the FW equation was used was 24.39% (20/82); and was 0% (0/82) with the FR equation. On applying the FW equation, it was seen that 12 of 22 patients treated and 10 of 60 patients not treated did not receive the correct drug treatment. If the mean cost per patient treated and per year at the PCC is applied to the new cases, there is a 9.09% reduction (euro 479.2) for the FW equation and 100% (euro 5271.2) for the FR equation.

conclusionsThe use of one or other algorithm for calculating CVR entails pertinent differences in clinical practice and expenditure. All patients in primary prevention must receive non-pharmacological treatment.

Indexed as

AlgorithmsPrimary Health CareAdultAgedCardiovascular DiseasesCohort StudiesCombined Modality TherapyComorbidityCost-Benefit AnalysisCost ControlCross-Sectional StudiesDrug CostsDyslipidemiasExercise TherapyFemaleHealth Care CostsHypolipidemic Agents

Identifiers

PMID17194352
PMCPMC7679934

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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.