Evidence map›Paper›PMID 25962950›Full record

ArticleCardiovascular journal of Africa

Mortality from cardiovascular diseases in sub-Saharan Africa, 1990-2013: a systematic analysis of data from the Global Burden of Disease Study 2013.

George A Mensah, Gregory A Roth, Uchechukwu K A Sampson, Andrew E Moran, Valery L Feigin, Mohammed H Forouzanfar, Mohsen Naghavi, Christopher J L Murray, GBD 2013 Mortality and Causes of Death Collaborators

Open access · greenAbstract read
In one paragraph

Article in Cardiovascular journal of Africa. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 189 papers, 13 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
189citing papers in PubMed, 13 pooled it
15.0field-weighted citation impact, top 1% 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

189 citing papers in PubMed, 13 syntheses or guidelines pooled it, 339 citations in OpenAlex.

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129 more citing papers are in PubMed but not listed here.

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

9 authors at 5 institutions in 2 countries.

George A MensahCenter for Translation Research and Implementation Science (CTRIS), National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA. George.Mensah@nih.gov.
Gregory A RothInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Uchechukwu K A SampsonCenter for Translation Research and Implementation Science (CTRIS), National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA.
Andrew E MoranDivision of General Medicine, Columbia University Medical Center, New York, NY, USA.
Valery L FeiginFaculty of Health and Environmental Sciences, National Institute for Stroke and Applied Neurosciences, Auckland University of Technology, Auckland, New Zealand.
Mohammed H ForouzanfarInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Mohsen NaghaviInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Christopher J L MurrayInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
GBD 2013 Mortality and Causes of Death Collaborators
Institute for Health Metrics and Evaluation · USAuckland University of Technology · NZColumbia University Irving Medical Center · USNational Institutes of Health · USUniversity of Washington · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCardiovascular disease (CVD) has been the leading cause of death in developed countries for most of the last century. Most CVD deaths, however, occur in low- and middle-income, developing countries (LMICs) and there is great concern that CVD mortality and burden are rapidly increasing in LMICs as a result of population growth, ageing and health transitions. In sub-Saharan Africa (SSA), where all countries are part of the LMICs, the pattern, magnitude and trends in CVD deaths remain incompletely understood, which limits formulation of data-driven regional and national health policies.

objectiveThe aim was to estimate the number of deaths, death rates, and their trends for CVD causes of death in SSA, by age and gender for 1990 and 2013.

methodsAge- and gender-specific mortality rates for CVD were estimated using the Global Burden of Disease (GBD) 2010 methods with some refinements made by the GBD 2013 study to improve accuracy. Cause of death was estimated as in the GBD 2010 study and updated with a verbal autopsy literature review and cause of death ensemble modelling (CODEm) estimation for causes with sufficient information. For all quantities reported, 95% uncertainty intervals (UIs) were also computed.

resultsIn 2013, CVD caused nearly one million deaths in SSA, constituting 38.3% of non-communicable disease deaths and 11.3% of deaths from all causes in that region. SSA contributed 5.5% of global CVD deaths. There were more deaths in women (512,269) than in men (445,445) and more deaths from stroke (409,840) than ischaemic heart disease (258,939). Compared to 1990, the number of CVD deaths in SSA increased 81% in 2013. Deaths for all component CVDs also increased, ranging from a 7% increase in incidence of rheumatic heart disease to a 196% increase in atrial fibrillation. The age-standardised mortality rate (per 100,000) in 1990 was 327.6 (CI: 306.2-351.7) and 330.2 (CI: 312.9-360.0) in 2013, representing only a 1% increase in more than two decades.

conclusionsIn SSA, CVDs are neither epidemic nor among the leading causes of death. However, a significant increase in the number of deaths from CVDs has occurred since 1990, largely as a result of population growth, ageing and epidemiological transition. Contrary to what has been observed in other world regions, the age-adjusted mortality rate for CVD has not declined. Another important difference in CVD deaths in SSA is the predominance of stroke as the leading cause of death. Attention to aggressive efforts in cardiovascular health promotion and CVD prevention, treatment and control in both men and women are warranted. Additionally, investments to improve directly enumerated epidemiological data for refining the quantitation of risk exposures, death certification and burden of disease assessment will be crucial.

Indexed as

Africa South of the SaharaCardiovascular DiseasesCause of DeathDeveloped CountriesFemaleGlobal HealthHumansIncidenceMaleRegression AnalysisRisk Factors

Identifiers

PMID25962950
PMCPMC4557490
OpenAlexW289059651

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.