ReviewNature reviews. Cardiology2015
Contributions of risk factors and medical care to cardiovascular mortality trends.
Review in Nature reviews. Cardiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 157 papers, 9 of them syntheses that pooled 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.
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.
Who cites it
157 citing papers in PubMed, 9 syntheses or guidelines pooled it, 327 citations in OpenAlex.
- Identifying optimal primary prevention interventions for major cardiovascular disease events and all-cause mortality: a systematic review and hierarchical network meta-analysis of RCTs.Health technology assessment (Winchester, England) · 2025 · on this mapPooled it
- The Efficacy and Safety of Proton Pump Inhibitors Combining Dual Antiplatelet Therapy in Patients with Coronary Intervention: A Systematic Review, Meta-Analysis and Trial Sequential Analysis of Randomized Controlled Trials.Reviews in cardiovascular medicine · 2023Pooled it
- Younger age of stroke in low-middle income countries is related to healthcare access and quality.Annals of clinical and translational neurology · 2022Pooled it
- Health system readiness for non-communicable diseases at the primary care level: a systematic review.BMJ open · 2022Pooled it
- The Effects of High-Intensity Interval Training on Exercise Capacity and Prognosis in Heart Failure and Coronary Artery Disease: A Systematic Review and Meta-Analysis.Cardiovascular therapeutics · 2022Pooled it
- Active Commuting and Multiple Health Outcomes: A Systematic Review and Meta-Analysis.Sports medicine (Auckland, N.Z.) · 2019Pooled it
- Pooled it
- Patient beliefs and attitudes to taking statins: systematic review of qualitative studies.The British journal of general practice : the journal of the Royal College of General Practitioners · 2018Pooled it
- Gamma-glutamyltransferase and risk of cardiovascular mortality: A dose-response meta-analysis of prospective cohort studies.PloS one · 2017Pooled it
- Trial
- Are risk factors necessary for pretest probability assessment of coronary artery disease? A patient similarity network analysis of the PROMISE trial.Journal of cardiovascular computed tomographyTrial
- Metabolic traits in obesity and normal BMI in industrialised countries: a multi-country analysis of national population-based studies.Lancet (London, England) · 2026Article
- Resveratrol Ameliorated Hyperlipidemia: Association with Modulation of the Gut Microbiota and Bile Acid Metabolism.Nutrients · 2026Article
- Cardiovascular events in patients with COPD after long-acting bronchodilator initiation.ERJ open research · 2026Article
- The role of cardiovascular risk factors on educational and regional inequalities in mortality in Spain 2016-2022: An analysis using multiple causes of death.SSM - population health · 2026Article
- Low-dimensional materials for intracellular electrophysiology: advances from synthesis to applications.Microsystems & nanoengineering · 2026Review
- Unobserved individual-level variation in cardiovascular mortality in birth cohorts born before and after 1945.BMC cardiovascular disorders · 2026Article
- Time trends in mortality from heart failure and atherosclerotic cardiovascular disease in people with and without diabetes: a multi-national population-based study.The lancet. Diabetes & endocrinology · 2026Article
- Association of heart rate recovery with mortality risk in a 72-month survival analysis.Cadernos de saude publica · 2026Article
- Modifiable influencing factors and their joint effects on early- and late-onset coronary heart disease.Nature communications · 2025Article
97 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
6 authors at 4 institutions in 3 countries.
Funding
Abstract
Ischaemic heart disease, stroke, and other cardiovascular diseases (CVDs) lead to 17.5 million deaths worldwide per year. Taking into account population ageing, CVD death rates are decreasing steadily both in regions with reliable trend data and globally. The declines in high-income countries and some Latin American countries have been ongoing for decades without slowing. These positive trends have broadly coincided with, and benefited from, declines in smoking and physiological risk factors, such as blood pressure and serum cholesterol levels. These declines have also coincided with, and benefited from, improvements in medical care, including primary prevention, diagnosis, and treatment of acute CVDs, as well as post-hospital care, especially in the past 40 years. These variables, however, explain neither why the decline began when it did, nor the similarities and differences in the start time and rate of the decline between countries and sexes. In Russia and some other former Soviet countries, changes in volume and patterns of alcohol consumption have caused sharp rises in CVD mortality since the early 1990s. An important challenge in reaching firm conclusions about the drivers of these remarkable international trends is the paucity of time-trend data on CVD incidence, risk factors throughout the life-course, and clinical care.
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Registered trials
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.