Evidence map›Paper›PMID 21183250›Full record

ArticleAtencion primaria2011

[Heart failure patients in Primary Care: aging, comorbidities and polypharmacy].

Gisela Galindo Ortego, Inés Cruz Esteve, Jordi Real Gatius, Leonardo Galván Santiago, Carmen Monsó Lacruz, Plácido Santafé Soler

Open access · greenAbstract readEnglish AbstractMulticenter Study
In one paragraph

Article in Atencion primaria, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.3field-weighted citation impact, top 18% 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

11 citing papers in PubMed, 26 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 1 country.

Gisela Galindo OrtegoCAP Primer de Maig, Lleida, España. ggalindo.lleida.ics@gencat.cat
Inés Cruz Esteve
Jordi Real Gatius
Leonardo Galván Santiago
Carmen Monsó Lacruz
Plácido Santafé Soler
Institut Universitari d'Investigació en Atenció Primària Jordi Gol · ESServei de Salut de les Illes Balears · ESUniversitat de Lleida · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo assess heart failure prevalence, epidemiology, co-morbidities and polypharmacy in our region from electronic patient records. To evaluate gender differences in heart failure patients.

designDescriptive, cross-sectional study.

settingPrimary care Lleida (Spain).

participantsAll patients from 21 primary care centers with the diagnosis of heart failure in medical records were included. MAIN OUTCOME MEASUREMENTS: Demographic data, comorbidities and therapeutical subgroups in patients with a diagnosis of heart failure in their clinical record.

resultsHeart failure was found in 0.99% (3017 from 306229 patients), of whom 59% were women, and a mean age of 80 years. Comorbidities: hypertension 67%, diabetes 30%, hyperlipidemia 26.5%, obesity 27%, ischemic heart disease 19%, stroke 11%, atrial fibrillation 31%, COPD 26%, renal failure 12%. Hypertension, hyperlipidemia and obesity were more frequent in women, COPD, ischemic heart disease and renal failure in men. There were no differences in diabetes, stroke and atrial fibrillation. Patients were prescribed a median of 8 different therapeutic subgroups (P25=6 and P75=11). Women were more frequently prescribed diuretics (76%), cardiac glycosides (22%) and ACE inhibitors/angiotensin II receptor antagonists, and men ACE inhibitors/angiotensin II receptor antagonists in combination with beta-blockers.

conclusionsHeart failure patients in primary care are elderly, with significant co-morbidities and treated with a high number of drugs. Gender differences exist in cardiovascular risk factors, co-morbidities, and also in therapy.

Indexed as

Heart FailureAgedAged, 80 and overAge FactorsCross-Sectional StudiesFemaleHumansMaleMiddle AgedPolypharmacyPrimary Health Care

Identifiers

PMID21183250
PMCPMC7025005
OpenAlexW1983199000

What OpenQuestion holds

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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.