The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index; none of the 5 sources its claims cite is checked for support yet.
Demographic and Epidemiologic Drivers of Global Cardiovascular Mortality
Open accessAbstract
BACKGROUND: Global deaths from cardiovascular disease are increasing as a result of population growth, the aging of populations, and epidemiologic changes in disease. Disentangling the effects of these three drivers on trends in mortality is important for planning the future of the health care system and benchmarking progress toward the reduction of cardiovascular disease. METHODS: We used mortality data from the Global Burden of Disease Study 2013, which includes data on 188 countries grouped into 21 world regions. We developed three counterfactual scenarios to represent the principal drivers of change in cardiovascular deaths (population growth alone, population growth and aging, and epidemiologic changes in disease) from 1990 to 2013. Secular trends and correlations with changes in national income were examined. RESULTS: Global deaths from cardiovascular disease increased by 41% between 1990 and 2013 despite a 39% decrease in age-specific death rates; this increase was driven by a 55% increase in mortality due to the aging of populations and a 25% increase due to population growth. The relative contributions of these drivers varied by region; only in Central Europe and Western Europe did the annual number of deaths from cardiovascular disease actually decline. Change in gross domestic product per capita was correlated with change in age-specific death rates only among upper-middle income countries, and this correlation was weak; there was no significant correlation elsewhere. CONCLUSIONS: The aging and growth of the population resulted in an increase in global cardiovascular deaths between 1990 and 2013, despite a decrease in age-specific death rates in most regions. Only Central and Western Europe had gains in cardiovascular health that were sufficient to offset these demographic forces. (Funded by the Bill and Melinda Gates Foundation and others.).
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
29 Own result · 10 Own interpretation · 5 Own method · 4 Not checked yet · 3 No basis given
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“For the most common cause of cardiovascular death, ischemic heart disease, the number of deaths increased by an estimated 41.7% from 1990 to 2013.”
§ Demographic and Epidemiologic Drivers of Global Cardiovascular Mortality > DISCUSSION
hedgeddirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Even larger declines (more than 55%) were seen as a result of epidemiologic changes in the risk of hemorrhagic stroke.”
§ Demographic and Epidemiologic Drivers of Global Cardiovascular Mortality > RESULTS > GLOBAL DEATHS DUE TO CARDIOVASCULAR DISEASES
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“According to our estimates, epidemiologic change led to an increase in cardiovascular deaths in only one region of the world (western sub-Saharan Africa).”
§ Demographic and Epidemiologic Drivers of Global Cardiovascular Mortality > RESULTS > CARDIOVASCULAR DEATHS ACCORDING TO REGION
hedgeddirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The combination of increases in the number of deaths due to population growth and population aging and declines in age-specific death rates represented the most common epidemiologic profile among the specific cardiovascular causes of death (Table 1).”
§ Demographic and Epidemiologic Drivers of Global Cardiovascular Mortality > RESULTS > GLOBAL DEATHS DUE TO CARDIOVASCULAR DISEASES
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“whereas population growth contributed to an estimated 23.6% increase.”
§ Demographic and Epidemiologic Drivers of Global Cardiovascular Mortality > DISCUSSION
hedgeddirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Rheumatic heart disease was the only cardiovascular condition for which there were fewer total deaths globally in 2013 than in 1990.”
§ Demographic and Epidemiologic Drivers of Global Cardiovascular Mortality > RESULTS > GLOBAL DEATHS DUE TO CARDIOVASCULAR DISEASES
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Ischemic heart disease was the largest contributor to the increase in the number of cardiovascular deaths (2.4 million of the overall increase of 5.0 million cardiovascular deaths)”
§ Demographic and Epidemiologic Drivers of Global Cardiovascular Mortality > RESULTS > GLOBAL DEATHS DUE TO CARDIOVASCULAR DISEASES
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Central Europe and Western Europe, which had declines of an estimated 5.2% and 12.8%, respectively.”
§ Demographic and Epidemiologic Drivers of Global Cardiovascular Mortality > RESULTS > CARDIOVASCULAR DEATHS ACCORDING TO REGION
hedged- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“East Asia reported more than 1.2 million additional deaths in 2013, representing a 47.2% increase from 1990.”
§ Demographic and Epidemiologic Drivers of Global Cardiovascular Mortality > RESULTS > CARDIOVASCULAR DEATHS ACCORDING TO REGION
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“only in Central Europe and Western Europe did the annual number of deaths from cardiovascular disease actually decline.”
- Also stated in: § CARDIOVASCULAR DEATHS ACCORDING TO REGION · plain
“The only regions with a significant decrease in cardiovascular deaths were Central Europe and Western Europe, which had declines of an estimated 5.2% and 12.8%, respectively.”
§ Demographic and Epidemiologic Drivers of Global Cardiovascular Mortality > Abstract > RESULTS
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Also stated in: § CARDIOVASCULAR DEATHS ACCORDING TO REGION · plain
- It may state two separate claims as one. 10
- The quote only partly states this claim. 1
- Probably not a substantial claim. 8
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Change in gross domestic product per capita was correlated with change in age-specific death rates only among upper-middle income countries, and this correlation was weak; there was no significant correlation elsewhere.”
- Also stated in: § CARDIOVASCULAR DEATHS AND NATIONAL INCOME PER CAPITA · plain
“the two variables had a significant correlation only within the category of upper-middle income.”
§ Demographic and Epidemiologic Drivers of Global Cardiovascular Mortality > Abstract > RESULTS
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Also stated in: § CARDIOVASCULAR DEATHS AND NATIONAL INCOME PER CAPITA · plain
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Southern Latin America, Australasia, and high-income North America had no detectable change in the number of deaths from 1990 to 2013 (as indicated by an uncertainty interval crossing 0) because population aging and growth balanced out declines in age-specific death rates.”
§ Demographic and Epidemiologic Drivers of Global Cardiovascular Mortality > RESULTS > CARDIOVASCULAR DEATHS ACCORDING TO REGION
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Atrial fibrillation or flutter and peripheral vascular disease are notable exceptions to the demographic and epidemiologic pattern for cardiovascular disease. Deaths from each of these conditions increased dramatically between 1990 and 2013, driven not only by population growth and aging but also by increases in age- and sex-specific death rates.”
§ Demographic and Epidemiologic Drivers of Global Cardiovascular Mortality > RESULTS > GLOBAL DEATHS DUE TO CARDIOVASCULAR DISEASES
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“In absolute terms, South Asia had the largest estimated increase in deaths from cardiovascular disease, reporting more than 1.7 million more deaths in 2013 than in 1990. This change represents an increase of 97.4% (95% uncertainty interval, 72 to 126.1).”
§ Demographic and Epidemiologic Drivers of Global Cardiovascular Mortality > RESULTS > CARDIOVASCULAR DEATHS ACCORDING TO REGION
hedged- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“For example, there were 349,153 cardiovascular deaths in the high-income Asia–Pacific region in 1990. In 2013, there were 487,170 cardiovascular deaths, which is less than the 910,042 that would have been expected if 1990 death rates had remained constant, given the population size and the age structure in that region in 2013.”
§ Demographic and Epidemiologic Drivers of Global Cardiovascular Mortality > METHODS > DETERMINATION OF DRIVERS OF CARDIOVASCULAR MORTALITY
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Most countries had an increase in income per capita and a decline in the number of cardiovascular deaths due to epidemiologic change.”
§ Demographic and Epidemiologic Drivers of Global Cardiovascular Mortality > RESULTS > CARDIOVASCULAR DEATHS AND NATIONAL INCOME PER CAPITA
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“despite a 39% decrease in age-specific death rates”
- Also stated in: § GLOBAL DEATHS DUE TO CARDIOVASCULAR DISEASES · plain
“despite a decrease in deaths attributable to epidemiologic changes of 39.3% (95% uncertainty interval, 33.6 to 44.1)”
§ Demographic and Epidemiologic Drivers of Global Cardiovascular Mortality > Abstract > RESULTS
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
The quote only partly states this claim.
- Also stated in: § GLOBAL DEATHS DUE TO CARDIOVASCULAR DISEASES · plain
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“This pattern was also present in trends for ischemic heart disease, ischemic stroke, hemorrhagic and other nonischemic causes of stroke, hypertensive heart disease, cardiomyopathy, myocarditis, aortic aneurysm, and endocarditis.”
§ Demographic and Epidemiologic Drivers of Global Cardiovascular Mortality > RESULTS > GLOBAL DEATHS DUE TO CARDIOVASCULAR DISEASES
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“These changes are probably due to the combined effect of birth cohorts’ decreased exposure to tobacco smoking, improvements in diet, and improved treatment of cardiovascular disease and cardio-metabolic risk factors targeting the prevention of cardiovascular disease, and improved treatment of cardiovascular disease.10”
§ Demographic and Epidemiologic Drivers of Global Cardiovascular Mortality > DISCUSSION
What the sources say
- Not checked yetcites [10] source
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“In contrast, South Asia had a dramatic rise in cardiovascular deaths due to population growth and aging without a significant decline in cardiovascular deaths due to epidemiologic change.”
§ Demographic and Epidemiologic Drivers of Global Cardiovascular Mortality > DISCUSSION
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“However, the rigorous out-of-sample predictive validity testing used in GBD 2013 is cause for some confidence.”
§ Demographic and Epidemiologic Drivers of Global Cardiovascular Mortality > DISCUSSION
hedged- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
None of the sources cited for this claim have been checked yet.
In the paper
“As they have noted, the classic model of “epidemiologic transition” does not fully reflect the heterogeneity of the burden of cardiovascular disease across countries.”
§ Demographic and Epidemiologic Drivers of Global Cardiovascular Mortality > DISCUSSION
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“A deterministic health policy model indicated that 40 to 55% of the decline in coronary heart disease in high-income countries can be attributed to the effects of medical and surgical treatments.12”
§ Demographic and Epidemiologic Drivers of Global Cardiovascular Mortality > DISCUSSION
What the sources say
- Not checked yetcites [12] source
hedgeddirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Finally, we recognize that patterns of disease burden vary not just between but also within countries. Any summary provided at the level of a region or country may mask significant disparities within that area.”
§ Demographic and Epidemiologic Drivers of Global Cardiovascular Mortality > DISCUSSION
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: fails — The paper may give no reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds. It may state two separate claims as one.
In the paper
“However, calculations made with the traditional Shapley method and other methods used in econometrics may produce different results.6”
§ Demographic and Epidemiologic Drivers of Global Cardiovascular Mortality > DISCUSSION
What the sources say
- Not checked yetcites [6] source
hedged- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“First, cause-specific mortality data are lacking or of limited quality in some countries.”
§ Demographic and Epidemiologic Drivers of Global Cardiovascular Mortality > DISCUSSION
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“Similarly, the number of deaths resulting from rheumatic heart disease may not be completely captured by vital records in regions in which the condition is endemic.”
§ Demographic and Epidemiologic Drivers of Global Cardiovascular Mortality > DISCUSSION
hedged- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: fails — The paper may give no reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Furthermore, the remarkable increase in the age-specific rate of death from atrial fibrillation probably reflects increases in the screening, recognition, and attribution of death to atrial fibrillation in addition to changes in disease epidemiology.”
§ Demographic and Epidemiologic Drivers of Global Cardiovascular Mortality > DISCUSSION
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: fails — The paper may give no reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Ageing of the population also contributes to increasing the absolute number of CVD events. 17”
From 2016 ESC/EAS Guidelines for the Management of Dyslipidaemias (2016) · cites this paper as [17]
In the citing paper
“Ageing of the population also contributes to increasing the absolute number of CVD events.17”
From 2016 ESC/EAS Guidelines for the Management of Dyslipidaemias (2016) · cites this paper as [17]
Citations
Cites
Lozano, R., Naghavi, M., Foreman, K., Lim, S., Shibuya, K., Aboyans, V., Abraham, J., Adair, T., Aggarwal, R., Ahn, S. Y., et al. (2012) · The Lancet · doi:10.1016/s0140-6736(12)61728-0 · Cited by 14,070
Self-citationExplaining the decrease in U.S. deaths from coronary disease, 1980–2000
Ford, E. S., Ajani, U. A., Croft, J. B., Critchley, J. A., Labarthe, D. R., Kottke, T. E., Giles, W. H., & Capewell, S. (2007) · New England Journal of Medicine · doi:10.1056/nejmsa053935 · Cited by 2,757
Universal Definition of Myocardial Infarction: Clinical Insights
Paiva, L., Providencia, R. A., Barra, S., Dinis, P., Faustino, C., & Gonçalves, L. M. M. (2015) · Cardiology · doi:10.1159/000371739 · Cited by 2,513
Smoking prevalence and cigarette consumption in 187 countries, 1980-2012
Ng, M., Freeman, M. K., Fleming, T. D., Robinson, M., Dwyer-Lindgren, L., Thomson, B., Wollum, A., Sanman, E., Wulf, S., Lopez, A. D., et al. (2014) · JAMA · doi:10.1001/jama.2013.284692 · Cited by 1,576
Self-citationEmerging Epidemic of Cardiovascular Disease in Developing Countries
Reddy, K. S., & Yusuf, S. (1998) · Circulation · doi:10.1161/01.cir.97.6.596 · Cited by 1,206
Decomposition procedures for distributional analysis: a unified framework based on the Shapley value
Shorrocks, A. F. (2013) · The Journal of Economic Inequality · doi:10.1007/s10888-011-9214-z · Cited by 1,190
Yusuf, S., Reddy, S., Ôunpuu, S., & Anand, S. (2001) · Circulation · doi:10.1161/hc4701.099488 · Cited by 1,141
Ezzati, M., Hoorn, S. V., Lawes, C. M. M., Leach, R. J., James, W. P. T., López, A. D., Rodgers, A., & Murray, C. J. L. (2005) · PLoS Medicine · doi:10.1371/journal.pmed.0020133 · Cited by 627
Self-citationModeling causes of death: an integrated approach using CODEm
Foreman, K. J., Lozano, R., Lopez, A. D., & Murray, C. J. (2012) · Population Health Metrics · doi:10.1186/1478-7954-10-1 · Cited by 564
Self-citation
Research works printed but not linked: 1
- GBD 2013 Mortality and Causes of Death Collaborators, 2014, Lancet, 385, 117
Cited by
Sorted by citations
Items 301–400 of 1,000
Fuller, C., & Lloyd, V. (2019) · Routledge eBooks · doi:10.4324/9781315448084 · Cited by 32
Natural History of Myocardial Function in an Adult Human Population
Yoneyama, K., Donekal, S., Ambale‐Venkatesh, B., Wu, C. O., Liu, C., Nacif, M. S., Armstrong, A. D. C., Gomes, A. S., Hundley, W. G., McClelland, R. L., et al. (2016) · JACC. Cardiovascular imaging · doi:10.1016/j.jcmg.2016.01.038 · Cited by 32
Environment and cardiovascular disease: rationale of the Corinthia study
Oikonomou, E. K., Lazaros, G. A., Georgiopoulos, G., Christoforatou, E., Papamikroulis, G.-A., Vogiatzi, G., Chasikidis, C., Zacharia, E. M., Giannaki, A., Bourouki, E., et al. (2016) · Hellenic Journal of Cardiology · doi:10.1016/j.hjc.2016.06.001 · Cited by 31
Wu, Y., Hsu, P.-S., Tsai, C., Pan, P.-C., & Chen, Y.-L. (2018) · Scientific Reports · doi:10.1038/s41598-018-25317-8 · Cited by 31
Wang, W., Ren, D., Wang, C., Li, T., & Yao, H.-C. (2019) · Scientific Reports · doi:10.1038/s41598-019-48189-y · Cited by 31
Plaine, A. H., da Silva, M. R., & Bolfarini, C. (2019) · Journal of Materials Research and Technology · doi:10.1016/j.jmrt.2019.06.047 · Cited by 31
Odland, M. L., Bockarie, T., Wurie, H. R., Ansumana, R., Lamin, J. M., Nugent, R. A., Bakolis, I., Witham, M. D., & Davies, J. I. (2020) · BMJ Open · doi:10.1136/bmjopen-2020-038520 · Cited by 31
Yang, S., Song, L., Zhao, L., Dong, P., Lai, L., & Wang, H. (2017) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2017.05.025 · Cited by 31
Monocyte Subsets in Atherosclerosis and Modification with Exercise in Humans
Aw, N. H., Canetti, E. F. D., Suzuki, K., & Goh, J. (2018) · Antioxidants · doi:10.3390/antiox7120196 · Cited by 32
Shafiq, M., Wang, L., Zhi, D., Zhang, Q., Wang, K., Wang, L., Kim, D., Kong, D., & Kim, S. H. (2019) · Journal of Biomedical Materials Research Part B: Applied Biomaterials · doi:10.1002/jbm.b.34260 · Cited by 30
Human papillomavirus infection and cardiovascular mortality: a cohort study
Cheong, H. S., Chang, Y., Kim, Y., Kwon, M., Cho, Y., Kim, B., Joo, E., Bae, Y. H., Kim, C., & Ryu, S. (2024) · European Heart Journal · doi:10.1093/eurheartj/ehae020 · Cited by 30
Yu, F., Fu, R., Liu, L., Wang, X., Wu, T., Shen, W., Gui, Z., Mo, X., Fang, B., & Xia, L. (2019) · Frontiers in Pharmacology · doi:10.3389/fphar.2019.01275 · Cited by 31
Sui, Y., Meng, Z., Park, S., Lu, W., Livelo, C., Chen, Q., Zhou, T., & Zhou, C. (2020) · Journal of Lipid Research · doi:10.1194/jlr.ra119000122 · Cited by 30
Guan, T., Jiang, Y., Luo, Z., Liang, Y., Feng, M., Lu, Z., Yi, M., Teng, Y., Zhou, R., Zeng, L., et al. (2023) · Age and Ageing · doi:10.1093/ageing/afad068 · Cited by 31
Lu, P., Zhao, Q., Xia, G., Xu, R., Hanna, L., Jiang, J., Li, S., & Guo, Y. (2020) · Environmental Research Letters · doi:10.1088/1748-9326/abab33 · Cited by 29
Sphingosine‐1‐phosphate in mitochondrial function and metabolic diseases
Duan, M., Gao, P., Chen, S., Novák, P., Yin, K., & Zhu, X. (2022) · Obesity Reviews · doi:10.1111/obr.13426 · Cited by 29
Epidemiology of the high-risk population
Boehm, O., Baumgarten, G., & Hoeft, A. (2015) · Current Opinion in Critical Care · doi:10.1097/mcc.0000000000000221 · Cited by 29
Goodman, S. G., Nicolau, J. C., Requena, G., Maguire, A., Blankenberg, S., Chen, J. Y., Granger, C. B., Grieve, R., Pocock, S., Simon, T., et al. (2017) · International Journal of Cardiology · doi:10.1016/j.ijcard.2017.02.062 · Cited by 29
Raal, F. J., Alsheikh-Ali, A. A. A., Omar, M., Rashed, W. A., Hamoui, O., Kane, A. D., Alami, M., Abreu, P. C., & Mashhoud, W. M. (2018) · Archives of Public Health · doi:10.1186/s13690-018-0257-5 · Cited by 29
Pulakat, L., & Chen, H. H. (2020) · Frontiers in Pharmacology · doi:10.3389/fphar.2020.00774 · Cited by 30
Effectiveness of Dry Needling in the Management of Spasticity in Patients Post Stroke
Núñez‐Cortés, R., Cruz‐Montecinos, C., Latorre-García, R., Pérez‐Alenda, S., & Torres‐Castro, R. (2020) · Journal of Stroke and Cerebrovascular Diseases · doi:10.1016/j.jstrokecerebrovasdis.2020.105236 · Cited by 29
Doku, A., Tuglo, L. S., Boima, V., Agyekum, F., Aovare, P., Abdulai, M. A., Godi, A., Peters, R. J. G., & Agyemang, C. O. (2024) · Global Heart · doi:10.5334/gh.1307 · Cited by 28
Remote monitoring of heart failure: benefits for therapeutic decision making
Martirosyan, M., Çalişkan, K., Theuns, D. A. M. J., & Szili‐Törok, T. (2017) · Expert Review of Cardiovascular Therapy · doi:10.1080/14779072.2017.1348229 · Cited by 29
Computer‐Aided Diagnostics of Heart Disease Risk Prediction Using Boosting Support Vector Machine
Owusu, E., Boakye‐Sekyerehene, P., Appati, J. K., & Ludu, J. Y. (2021) · Computational Intelligence and Neuroscience · doi:10.1155/2021/3152618 · Cited by 28
New Insights Into the Role of Inflammation in the Brain in Heart Failure
Badoer, E. (2022) · Frontiers in Physiology · doi:10.3389/fphys.2022.837723 · Cited by 28
Genetic and non-genetic risk factors associated with atrial fibrillation
Young, L. J., Antwi-Boasiako, S., Ferrall, J., Wold, L. E., Mohler, P. J., & Refaey, M. E. (2022) · Life Sciences · doi:10.1016/j.lfs.2022.120529 · Cited by 28
Huffman, M. D., Mohanan, P. P., Devarajan, R., Baldridge, A. S., Kondal, D., Zhao, L., Ali, M., Lloyd‐Jones, D. M., & Prabhakaran, D. (2016) · American Heart Journal · doi:10.1016/j.ahj.2016.10.026 · Cited by 28
Prognostic Value of MicroRNAs in Coronary Artery Diseases: A Meta-Analysis
Kim, J. S., Pak, K., Goh, T. S., Jeong, D. C., Han, M., Kim, J., Oh, S.-O., Kim, C. D., & Kim, Y. H. (2018) · Yonsei Medical Journal · doi:10.3349/ymj.2018.59.4.495 · Cited by 28
The Global Burden of Cardiovascular Disease in Women
Sharma, S., & Wood, M. J. (2018) · Current Treatment Options in Cardiovascular Medicine · doi:10.1007/s11936-018-0676-1 · Cited by 28
Henderson, L. M., Kim, R. Y., Tanner, N. T., Tsai, E. B., Begnaud, A., Dako, F., Gieske, M. R., Kallianos, K. G., Richman, I. B., Sakoda, L. C., et al. (2025) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.202501-0011st · Cited by 27
Age modulates the relationship between platelet-to-lymphocyte ratio and coronary artery disease
Trakarnwijitr, I., Li, B., Adams, H. S. L., Layland, J. J., Garlick, J., & Wilson, A. (2017) · International Journal of Cardiology · doi:10.1016/j.ijcard.2017.06.127 · Cited by 27
Kikuchi, Y., Ito, K., Shindo, T., Hao, K., Shiroto, T., Matsumoto, Y., TAKAHASHI, J. C., Matsubara, T., Yamada, A., Ozaki, Y., et al. (2018) · Heart and Vessels · doi:10.1007/s00380-018-1215-4 · Cited by 27
Cintra, R. M. R., Moura, F. A., de Carvalho, L. S. F., Barreto, J., Tambascia, M. A., Pecoits‐Filho, R., & Sposito, A. C. (2019) · Revista da Associação Médica Brasileira · doi:10.1590/1806-9282.65.1.70 · Cited by 28
Evaluation of small-diameter silk vascular grafts implanted in dogs
Tanaka, T., Tanaka, R., Ogawa, Y., Takagi, Y., Sata, M., & Asakura, T. (2021) · JTCVS Open · doi:10.1016/j.xjon.2021.02.008 · Cited by 27
Machine Learning in Stroke Medicine: Opportunities and Challenges for Risk Prediction and Prevention
Amann, J. (2021) · Advances in neuroethics · doi:10.1007/978-3-030-74188-4_5 · Cited by 29
Wu, J., Han, X., Sun, D., Zhang, J., Li, J., Qin, G., Deng, W., Yu, Y., & Xu, H. (2023) · BMC Cardiovascular Disorders · doi:10.1186/s12872-023-03250-7 · Cited by 30
Tarantini, G., Ueshima, D., D’Amico, G., Masiero, G., Musumeci, G., Stone, G. W., & Brener, S. J. (2017) · American Heart Journal · doi:10.1016/j.ahj.2017.09.012 · Cited by 26
Baptista, E. A., & Queiroz, B. L. (2019) · Demographic Research · doi:10.4054/demres.2019.41.51 · Cited by 26
Ndejjo, R., Nuwaha, F., Bastiaens, H., Wanyenze, R. K., & Musinguzi, G. (2020) · BMC Public Health · doi:10.1186/s12889-020-09264-6 · Cited by 26
Anzaki, K., Kanda, D., Ikeda, Y., Takumi, T., Tokushige, A., Ohmure, K., Sonoda, T., Arikawa, R., & Ohishi, M. (2022) · Current Problems in Cardiology · doi:10.1016/j.cpcardiol.2022.101185 · Cited by 26
Okube, O. T., Kimani, S. T., & Mirie, W. (2022) · Journal of Diabetes & Metabolic Disorders · doi:10.1007/s40200-022-01023-1 · Cited by 26
Olié, V., Grave, C., Tuppin, P., Duloquin, G., Béjot, Y., & Gabet, A. (2022) · Journal of Clinical Medicine · doi:10.3390/jcm11061669 · Cited by 26
Statin use in Brazil: findings and implications
do Nascimento, R. C. R. M., Guerra, A. A., Jr., Álvares-Teodoro, J., Gomes, I. C., Godman, B., Bennie, M., Kurdi, A. B., & Acúrcio, F. D. A. (2018) · Current Medical Research and Opinion · doi:10.1080/03007995.2018.1451312 · Cited by 26
Correa‐Rodríguez, M., Ramírez‐Vélez, R., Correa‐Bautista, J. E., Castellanos-Vega, R. D. P., Arias-Coronel, F., González‐Ruíz, K., Carrillo, H. A., Schmidt‐RioValle, J., & González‐Jiménez, E. (2018) · Nutrients · doi:10.3390/nu10111742 · Cited by 26
Dugani, S. B., Murad, W., Damilig, K., Atos, J., Mohamed, E. O., Callachan, E. L., Farukhi, Z. M., Shaikh, A., Elfatih, A., Yusef, S., et al. (2019) · Angiology · doi:10.1177/0003319719849737 · Cited by 26
Zhou, X., Du, M., Dai, X., Zhu, S., Zhou, L., & Li, X. (2023) · BMC Neurology · doi:10.1186/s12883-023-03250-2 · Cited by 25
Sterpetti, A. V., Gabriele, R., Sapienza, P., di Marzo, L., & Borrelli, V. (2024) · Current Problems in Cardiology · doi:10.1016/j.cpcardiol.2024.102384 · Cited by 25
Guan, T., Monteiro, O., Chen, D., Luo, Z., Chi, K., Li, Z., Liang, Y., Lu, Z., Jiang, Y., Yang, J., et al. (2024) · Journal of Advanced Research · doi:10.1016/j.jare.2024.03.017 · Cited by 25
Wang, B., Wang, J., Liu, C., & Hu, X. (2024) · Scientific Reports · doi:10.1038/s41598-024-75453-7 · Cited by 25
He, Q., Zheng, R., Song, W., Sun, X., & Lu, C. (2024) · Diabetes Obesity and Metabolism · doi:10.1111/dom.16040 · Cited by 25
Liss, M., Radke, M. H., Eckhard, J., Neuenschwander, M., Dauksaite, V., von Kries, J. P., & Gotthardt, M. (2018) · PLoS ONE · doi:10.1371/journal.pone.0198492 · Cited by 25
Nutritional Quality and Effect on Disease Prevention of Vegetables
Dias, J. S. (2019) · Food and Nutrition Sciences · doi:10.4236/fns.2019.104029 · Cited by 28
Towards evidence-based policies to strengthen acute stroke care in low-middle-income countries
Baatiema, L., Abímbọ́lá, Ṣ., Aikins, A. D., Damasceno, A. A. M., Kengne, A. P., Sarfo, F. S., Charway‐Felli, A., & Somerset, S. M. (2020) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2020.117117 · Cited by 25
Sobrino, A., Walker, M. E., Colas, R. A., & Dalli, J. (2020) · PLoS ONE · doi:10.1371/journal.pone.0242543 · Cited by 27
RNA Modification by m6A Methylation in Cardiovascular Disease
Chen, J., Wei, X., Yi, X., & Jiang, D. (2021) · Oxidative Medicine and Cellular Longevity · doi:10.1155/2021/8813909 · Cited by 25
Acacetin as a Potential Protective Compound against Cardiovascular Diseases
Wu, C., Yan, J., & Li, W. (2022) · Evidence-based Complementary and Alternative Medicine · doi:10.1155/2022/6265198 · Cited by 25
Ramírez‐Vélez, R., García‐Hermoso, A., Prieto‐Benavides, D. H., Correa‐Bautista, J. E., Quino-Ávila, A. C., Barreto, C. M. R., González‐Ruíz, K., Carrillo, H. A., Correa‐Rodríguez, M., González‐Jiménez, E., et al. (2018) · British Journal Of Nutrition · doi:10.1017/s0007114518003392 · Cited by 26
The Role of RNA-Targeted Therapeutics to Reduce ASCVD Risk: What Have We Learned Recently?
Miname, M. H., Rocha, V. Z., & Santos, R. D. (2021) · Current Atherosclerosis Reports · doi:10.1007/s11883-021-00936-1 · Cited by 25
Electrocardiogram Devices for Home Use: Technological and Clinical Scoping Review
Zepeda-Echavarria, A., van de Leur, R. R., van Sleuwen, M., Hassink, R. J., Wildbergh, T. X., Doevendans, P. A., Jaspers, J., & van Es, R. (2023) · JMIR Cardio · doi:10.2196/44003 · Cited by 24
Artificial intelligence in cardiovascular pharmacotherapy: applications and perspectives
Costa, F., Gómez‐Doblas, J. J., Expósito, A. D., Adamo, M., D’Ascenzo, F., Kołtowski, Ł., Saba, L., Mendieta, G., Gragnano, F., Calabrò, P., et al. (2025) · European Heart Journal · doi:10.1093/eurheartj/ehaf474 · Cited by 28
Novel directions in inflammation as a therapeutic target in atherosclerosis
Verweij, S. L., van der Valk, F. M., & Stroes, E. S. G. (2015) · Current Opinion in Lipidology · doi:10.1097/mol.0000000000000233 · Cited by 24
The Road to Approval: a Perspective on the Role of Icosapent Ethyl in Cardiovascular Risk Reduction
Wang, X., Verma, S., Mason, R. P., & Bhatt, D. L. (2020) · Current Diabetes Reports · doi:10.1007/s11892-020-01343-7 · Cited by 24
Disability-adjusted life years associated with population ageing in China, 1990-2017
Li, R., Cheng, X., Schwebel, D. C., Yang, Y., Ning, P., Cheng, P., & Hu, G. (2021) · BMC Geriatrics · doi:10.1186/s12877-021-02322-7 · Cited by 25
Fang, H., Huang, L., Lv, F., Hu, B., Liu, H., Huang, Z. L., Sun, Y., Zhou, W., & Wang, X. (2022) · Chemical Engineering Journal · doi:10.1016/j.cej.2022.140067 · Cited by 24
Heart rate variability and cardiovascular diseases: A Mendelian randomization study
Zhao, Y., Yu, H., Gong, A., Zhang, S., & Xiao, B. (2023) · European Journal of Clinical Investigation · doi:10.1111/eci.14085 · Cited by 24
Carotid stenosis and cryptogenic stroke
Saba, L., Cau, R., Spinato, G., Suri, J. S., Melis, M., Rubeis, G. D., Antignani, P.-L., & Gupta, A. K. (2024) · Journal of Vascular Surgery · doi:10.1016/j.jvs.2024.01.004 · Cited by 24
Measuring Participation After Stroke in Africa: Development of the Participation Measurement Scale
Kossi, O., Nindorera, F., Batcho, C. S., Adoukonou, T., Penta, M., & Thonnard, J. (2017) · Archives of Physical Medicine and Rehabilitation · doi:10.1016/j.apmr.2017.10.004 · Cited by 24
Kerasioti, E., Veskoukis, A. S., Skaperda, Z., Zacharias, A., Poulas, K. A., Lazopoulos, G., & Kouretas, D. (2020) · Toxicology Reports · doi:10.1016/j.toxrep.2020.08.029 · Cited by 26
Delgado, A. F., Söderqvist, Å. K., Fransén, J., & Falk-Delgado, A. (2015) · Journal of NeuroInterventional Surgery · doi:10.1136/neurintsurg-2015-011835 · Cited by 23
Minović, I., Kieneker, L. M., Gansevoort, R. T., Eggersdorfer, M. L., Touw, D. J., Voerman, A., Connelly, M. A., de Boer, R. A., Hak, E., Bos, J., et al. (2020) · Nutrients · doi:10.3390/nu12092711 · Cited by 23
Sodium dehydroacetate induces cardiovascular toxicity associated with Ca2+ imbalance in zebrafish
Huang, X., Zhao, X., Zhu, K., Ding, S., & Shao, B. (2020) · Ecotoxicology and Environmental Safety · doi:10.1016/j.ecoenv.2020.111613 · Cited by 23
Chen, Y., Fu, Y., Wang, S., Chen, P., Pei, Y., Zhang, J., Zhang, R., Niu, G., Gu, F., & Li, X. (2022) · Cardiovascular Diabetology · doi:10.1186/s12933-022-01668-5 · Cited by 23
Kiadaliri, A., Woolf, A. D., & Englund, M. (2017) · BMC Musculoskeletal Disorders · doi:10.1186/s12891-017-1428-1 · Cited by 23
Deuchar, G. A., Brennan, D., Holmes, W. M., Shaw, M., Macrae, I. M., & Santosh, C. (2018) · Theranostics · doi:10.7150/thno.21685 · Cited by 23
Sweeney, T. E., Quispe, R., Das, T. M., Juraschek, S. P., Martin, S. S., & Michos, E. D. (2021) · Expert Review of Precision Medicine and Drug Development · doi:10.1080/23808993.2021.1930531 · Cited by 24
Olson, E., Suh, J. H., Schwarz, J., Noworolski, S. M., Jones, G. M., Barber, J. R., Erkin‐Cakmak, A., Mulligan, K. M., Lustig, R. H., & Mietus‐Snyder, M. (2022) · Nutrients · doi:10.3390/nu14071432 · Cited by 24
Why should we screen for arterial hypertension in children and adolescents?
Litwin, M. (2017) · Pediatric Nephrology · doi:10.1007/s00467-017-3739-8 · Cited by 23
Timmis, A., Gale, C. P., Flather, M. D., Maniadakis, N., & Vardas, P. E. (2017) · European Heart Journal - Quality of Care and Clinical Outcomes · doi:10.1093/ehjqcco/qcx045 · Cited by 23
Mahendra, A. I., Fajar, J. K., Harapan, H., Heriansyah, T., Prawiro, S. R., Widjajanto, E., Rohman, M. S., Mintaroem, K., Pikir, B. S., & Prashar, Y. (2018) · Artery Research · doi:10.1016/j.artres.2018.05.008 · Cited by 22
Paternal hypercholesterolemia elicits sex-specific exacerbation of atherosclerosis in offspring
Hernandez, R., Li, X., Shi, J., Dave, T. R., Zhou, T., Chen, Q., & Zhou, C. (2024) · JCI Insight · doi:10.1172/jci.insight.179291 · Cited by 23
Mubarak, G., & Zahir, F. (2022) · Journal of Personalized Medicine · doi:10.3390/jpm12020199 · Cited by 22
Chen, C., Nie, Z., Wang, J.-B., Ou, Y., Cai, A., Huang, Y., Yang, Q., Liu, S., Li, J., & Feng, Y. (2022) · European Journal of Preventive Cardiology · doi:10.1093/eurjpc/zwac210 · Cited by 22
Epidemiologic studies targeting primary cardiovascular disease prevention in South Asia
Rehman, H., Samad, Z. Z., Mishra, S. R., Merchant, A. T., Narula, J. P., Mishra, S., & Virani, S. S. (2018) · Indian Heart Journal · doi:10.1016/j.ihj.2018.01.029 · Cited by 22
Kitakata, H., Kohno, T., Kohsaka, S., Fujisawa, D., Nakano, N., Shiraishi, Y., Katsumata, Y., Yuasa, S., & Fukuda, K. (2020) · Journal of Cardiac Failure · doi:10.1016/j.cardfail.2020.10.009 · Cited by 22
Alshahrani, A. A., Kontopantelis, E., Morgan, C., Ravindrarajah, R., Martin, G. P., & Mamas, M. A. (2024) · Chinese Medical Journal · doi:10.1097/cm9.0000000000003419 · Cited by 21
Positron emission tomography/MRI for cardiac diseases assessment
Manabe, O., Oyama‐Manabe, N., & Tamaki, N. (2020) · British Journal of Radiology · doi:10.1259/bjr.20190836 · Cited by 21
Evaluation of Plasma Asprosin Concentration in Patients with Coronary Artery Disease
Güven, C., & Kafadar, H. (2022) · Brazilian Journal of Cardiovascular Surgery · doi:10.21470/1678-9741-2021-0003 · Cited by 21
Extracellular vesicles: Targeting the heart
Yin, X., & Jiang, L. (2023) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2022.1041481 · Cited by 23
Kim, S. H., Lee, K. Y., & Chang, K. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24065556 · Cited by 21
Andersson, T., Nåtman, J., Mourtzinis, G., Bager, J., Boström, K. B., Franzén, S., & Hjerpe, P. (2023) · European Journal of Preventive Cardiology · doi:10.1093/eurjpc/zwad212 · Cited by 21
Trends in Mortality from Cerebrovascular and Hypertensive Diseases in Brazil Between 1980 and 2012
Villela, P. B., Klein, C. H., & de Oliveira, G. M. M. (2016) · Arquivos Brasileiros de Cardiologia · doi:10.5935/abc.20160092 · Cited by 21
Overcoming cardiovascular disease in Indigenous Australians
Brown, A. D. H., & Kritharides, L. (2017) · The Medical Journal of Australia · doi:10.5694/mja16.00693 · Cited by 21
Metabolomics study in severe extracranial carotid artery stenosis
Lee, T., Cheng, M., Shiao, M., & Lin, C. (2019) · BMC Neurology · doi:10.1186/s12883-019-1371-x · Cited by 21
Pano-Rodríguez, Á., Beltrán-Garrido, J. V., Hernández‐González, V., & Masià, J. R. (2020) · Sensors · doi:10.3390/s20051482 · Cited by 21
Remote ischaemic conditioning for preventing and treating ischaemic stroke
Zhao, W., Zhang, J., Sadowsky, M. G., Meng, R., Ding, Y., & Ji, X. (2017) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd012503 · Cited by 21
Yang, Z., Yao, J., Wang, J., Zhang, C., Cao, Y., Hao, L., Yang, C., Wu, C., Zhang, J., Wang, Z., et al. (2021) · Biomaterials Science · doi:10.1039/d1bm00343g · Cited by 20
Plachá, I., Bacova, K., & Plachý, L. (2022) · Animals · doi:10.3390/ani12091131 · Cited by 20
Preoperative patient assessment: Identifying patients at high risk
Boehm, O., Baumgarten, G., & Hoeft, A. (2016) · Best practice & research. Clinical anaesthesiology · doi:10.1016/j.bpa.2016.04.005 · Cited by 20
Maessen, M. F. H., van Mil, A. C. C. M., Straathof, Y., Riksen, N. P., Rongen, G. A. P. J. M., Hopman, M. T. E., Eijsvogels, T. M. H., & Thijssen, D. H. J. (2017) · American Journal of Physiology-Regulatory, Integrative and Comparative Physiology · doi:10.1152/ajpregu.00466.2016 · Cited by 20
López-Messa, J. B., de Llano, J. M. A., López-Fernández, L., García-Cruces, J., García-Crespo, J., & Prieto-González, M. (2017) · Revista Española de Cardiología · doi:10.1016/j.recesp.2017.03.033 · Cited by 21
Metadata
- Authors
- Roth, G. A., Forouzanfar, M. H., Moran, A. E., Barber, R., Nguyen, G., Feigin, V. L., Naghavi, M., Mensah, G. A., & Murray, C. J. L.
- Affiliations
- National Institutes of Health (US)
- University of Washington (US)
- Columbia University (US)
- Auckland University of Technology (NZ)
- ORCID
- Venue
- New England Journal of Medicine
- Publisher
- Massachusetts Medical Society
- Published
- 2015-04-02
- Volume
- 372
- Issue
- 14
- Pages
- 1333-1341
- ISSN
- 0028-4793 (ISSN-L)
- 1533-4406
- PMC
- PMC4482354
- OpenAlex
- W1986019364
- Semantic Scholar
- 27a6b9a739f391969318dbfd3ffe6b84aa566d21
- Cited by
- 1,188
- References
- 14
- Citations by year
- 2026: 30 · 2025: 87 · 2024: 115 · 2023: 110 · 2022: 117 · 2021: 123 · 2020: 141 · 2019: 118 · 2018: 105 · 2017: 110 · 2016: 98 · 2015: 31
- FWCI
- 89.97
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- New England Journal of Medicine (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Heart, Lung, and Blood Institute (K08HL089675)
- Topics
- Health Sciences › Medicine › Epidemiology › Healthcare Systems and Public Health
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Health and Risk Factors
- Social Sciences › Demography › Insurance, Mortality, Demography, Risk Management
- Keywords
- cardiovascular mortality, population aging, population growth, age-specific mortality, counterfactual scenarios, GDP per capita, global health trends, regional variation in mortality
- MeSH terms
- Age Factors, Cardiovascular Diseases, Demography, Humans, Income, Mortality, Sex Factors, Global Health
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
A language model drew the claims from the paper on 2026-10-04, under version 3 of the claim definition (model deepseek-v4.1-flash, prompt extract-v3).
A second model labelled each claim on 2026-10-04 (model jev-1.13-20260917, definition revision gold-guideline-v0.2).
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review