Evidence map›Paper›PMID 26152148›Full record

ArticleBMC public health2015

Cardiovascular mortality among a cohort of hypertensive and normotensives in Rio de Janeiro - Brazil - 1991-2009.

Thiago Luiz Nogueira da Silva, Carlos Henrique Klein, Armando da Rocha Nogueira, Lucia Helena Alvares Salis, Nelson Albuquerque de Souza E Silva, Katia Vergetti Bloch

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
0.8field-weighted citation impact, top 25% 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

13 citing papers in PubMed, 21 citations in OpenAlex.

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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 4 institutions in 1 country.

Thiago Luiz Nogueira da SilvaInstitute of Studies in Public Health, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil. thiagolns@gmail.com.
Carlos Henrique KleinDepartment of Epidemiology and Quantitative Methods in Health, Oswaldo Cruz Foundation, National School of Public Health, Rio de Janeiro, Brazil. kleincarlosh@gmail.com.
Armando da Rocha NogueiraClementino Fraga Filho University Hospital, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil. armando@hucff.ufrj.br.
Lucia Helena Alvares SalisGraduate Program in Medicine - Cardiology, Medical School, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil. lusalis3@gmail.com.
Nelson Albuquerque de Souza E SilvaDepartment of Clinical Medicine, Medical School, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil. nsouzaesilva@gmail.com.
Katia Vergetti BlochInstitute of Studies in Public Health, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil. kbloch@globo.com.
Universidade Federal do Rio de Janeiro · BRFundação Oswaldo Cruz · BRHospital Universitário Clementino Fraga Filho · BRRio de Janeiro Federal Institute of Education, Science and Technology · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough there is strong evidence of the benefits of antihypertensive treatment, the high prevalence of this important cardiovascular risk factor and its complications, as well as the low control rates of hypertension observed in many studies justify the investigation of these relationships in population studies. The objective was to investigate the ratio of cardiovascular disease mortality between hypertensives (non-treated, controlled and uncontrolled) and non-hypertensives in a cohort of a population sample of adults living in Ilha do Governador, Rio de Janeiro state, Brazil, who were classified in a survey conducted in 1991 and 1992 and whose death certificates were sought 19 years later.

methodsA cohort study was performed on probabilistic linkage between data from an epidemiological study of hypertension performed in Ilha do Governador, in Rio de Janeiro, Brazil (1991 to 1992) and data from the Mortality Information System of Rio de Janeiro (1991 to 2009). The survey aimed to estimate the prevalence of hypertension and other cardiovascular risk factors in 1,270 adults aged 20 years or older selected through a probabilistic sampling of households at three economic levels (low, middle and high income). We performed a probabilistic record linkage of these databases and estimated the risk of cardiovascular death using Kaplan-Meier method to plot survival curves and Cox proportional hazards models comparing hypertensive subjects all together, and by hypertension subgroups: untreated, controlled, and uncontrolled hypertensives with non-hypertensive ones.

resultsA total of 170 deaths occurred, of which 31.2 % attributed to cardiovascular causes. The hazard ratio for cardiovascular death was 6.1 times higher (95 % CI 2.7 - 13.7) in uncontrolled hypertensive patients relative to non-hypertensive patients. The hazard ratios for untreated hypertensive and controlled hypertensive patients were 2.7 times (95 % CI 1.1 - 6.3) and 2.1 times (95 % CI 0.38 - 11.5) higher than for normotensive patients, respectively.

conclusionThe present study demonstrated a higher cardiovascular death risk among hypertensive than among non-hypertensive ones that is not associated uniquely to treatment, because uncontrolled hypertensives demonstrated a greater risk than untreated ones. Although the subgroups of hypertensive individuals were susceptible to changes in their classification over the 19 years of the study, the baseline classification was consistent with a worse prognosis in these individuals.

Indexed as

AdultAntihypertensive AgentsBlood PressureBrazilCardiovascular DiseasesCohort StudiesDatabases, FactualDeath CertificatesFemaleHealth BehaviorHumansHypertensionIncidenceMaleMiddle AgedPrevalenceAntihypertensive Agents

Identifiers

PMID26152148
PMCPMC4495630
OpenAlexW1570420115

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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.