Evidence map›Paper›PMID 24210690›Full record

ArticleAtencion primaria2014

[Analysis of medications dispensed to control the main cardiovascular risks in the Murcia Region: are there gender differences?].

Diego P Sánchez, José J Guillén, Alberto M Torres, Fernando I Sánchez

Abstract readComparative StudyEnglish Abstract
In one paragraph

Article in Atencion primaria, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Diego P SánchezDepartamento de Ciencias Sociosanitarias, Facultad de Medicina, Universidad de Murcia, Murcia, España. Electronic address: diegopablo.sanchez@um.es.
José J GuillénDepartamento de Ciencias Sociosanitarias, Facultad de Medicina, Universidad de Murcia, Murcia, España.
Alberto M TorresDepartamento de Ciencias Sociosanitarias, Facultad de Medicina, Universidad de Murcia, Murcia, España.
Fernando I SánchezDepartamento de Economía Aplicada, Facultad de Economía y Empresa, Universidad de Murcia, Murcia, España.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo estimate the use of cardiovascular medicines and its distribution by age and sex.

designObservational study.

settingRegion of Murcia. MAIN MEASUREMENTS: Daily doses of cardiovascular drugs prescribed and dispensed in all the pharmacies of the Region per 1,000 inhabitants-day (DHD). A comparison was made of consumption rates (DHD) by age and sex.

resultsThe probability of receiving antiplatelet drugs increases with age, with the proportion of men being higher. The use of beta-blockers and angiotensin II increases with age up to 79 years, with an increased consumption in men up to 65 years. The probability of receiving treatment with calcium channel blockers, ACE inhibitors, or statins, linearly increases with age, and the proportion of men under treatment exceeds that of women in the early ages, tending to equalize beyond 80 years.

conclusionsThis study shows that the cardiovascular disease prevention focuses on people aged 40 to 74 years. Access by women to cardiovascular therapy occurs with a delay of 3-5 years, depending on the treatment subgroup. Changes should be promoted to encourage rational and equitable access and use of the drugs.

Indexed as

AdultAgedCardiovascular DiseasesChemopreventionCross-Sectional StudiesDrug UtilizationFemaleHumansMaleMiddle AgedRisk FactorsSex DistributionSex FactorsSpainAge groupsCardiovascular agentsFarmacoepidemiologíaGenderGéneroGrupos de edadMedicamentos cardiovascularesPharmacoepidemiology

Identifiers

PMID24210690
PMCPMC6985612

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.