The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
Projections of Global Mortality and Burden of Disease from 2002 to 2030
Open accessAbstract
BACKGROUND: Global and regional projections of mortality and burden of disease by cause for the years 2000, 2010, and 2030 were published by Murray and Lopez in 1996 as part of the Global Burden of Disease project. These projections, which are based on 1990 data, continue to be widely quoted, although they are substantially outdated; in particular, they substantially underestimated the spread of HIV/AIDS. To address the widespread demand for information on likely future trends in global health, and thereby to support international health policy and priority setting, we have prepared new projections of mortality and burden of disease to 2030 starting from World Health Organization estimates of mortality and burden of disease for 2002. This paper describes the methods, assumptions, input data, and results. METHODS AND FINDINGS: Relatively simple models were used to project future health trends under three scenarios-baseline, optimistic, and pessimistic-based largely on projections of economic and social development, and using the historically observed relationships of these with cause-specific mortality rates. Data inputs have been updated to take account of the greater availability of death registration data and the latest available projections for HIV/AIDS, income, human capital, tobacco smoking, body mass index, and other inputs. In all three scenarios there is a dramatic shift in the distribution of deaths from younger to older ages and from communicable, maternal, perinatal, and nutritional causes to noncommunicable disease causes. The risk of death for children younger than 5 y is projected to fall by nearly 50% in the baseline scenario between 2002 and 2030. The proportion of deaths due to noncommunicable disease is projected to rise from 59% in 2002 to 69% in 2030. Global HIV/AIDS deaths are projected to rise from 2.8 million in 2002 to 6.5 million in 2030 under the baseline scenario, which assumes coverage with antiretroviral drugs reaches 80% by 2012. Under the optimistic scenario, which also assumes increased prevention activity, HIV/AIDS deaths are projected to drop to 3.7 million in 2030. Total tobacco-attributable deaths are projected to rise from 5.4 million in 2005 to 6.4 million in 2015 and 8.3 million in 2030 under our baseline scenario. Tobacco is projected to kill 50% more people in 2015 than HIV/AIDS, and to be responsible for 10% of all deaths globally. The three leading causes of burden of disease in 2030 are projected to include HIV/AIDS, unipolar depressive disorders, and ischaemic heart disease in the baseline and pessimistic scenarios. Road traffic accidents are the fourth leading cause in the baseline scenario, and the third leading cause ahead of ischaemic heart disease in the optimistic scenario. Under the baseline scenario, HIV/AIDS becomes the leading cause of burden of disease in middle- and low-income countries by 2015. CONCLUSIONS: These projections represent a set of three visions of the future for population health, based on certain explicit assumptions. Despite the wide uncertainty ranges around future projections, they enable us to appreciate better the implications for health and health policy of currently observed trends, and the likely impact of fairly certain future trends, such as the ageing of the population, the continued spread of HIV/AIDS in many regions, and the continuation of the epidemiological transition in developing countries. The results depend strongly on the assumption that future mortality trends in poor countries will have a relationship to economic and social development similar to those that have occurred in the higher-income countries.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Figures









Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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
“The global burdens of cardiovascular diseases (CVD), type 2 diabetes mellitus (DM), and obesity are rising, producing enormous losses of life and disability-adjusted life-years in both developed and developing nations.1”
From Components of a Cardioprotective Diet: New Insights (2011) · cites this paper as [1]
In the citing paper
“Cardiovascular diseases (CVD), type 2 diabetes mellitus, and adiposity produce tremendous burdens of deaths, lost quality of life, and economic disruption globally.1,2”
From Population Approaches to Improve Diet, Physical Activity, and Smoking Habits: A Scientific Statement From the American Heart Association (2012) · cites this paper as [1]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Wild, S., Roglic, G., Green, A., Sicree, R., & King, H. (2004) · Diabetes Care · doi:10.2337/diacare.27.5.1047 · Cited by 15,297
Murray, C. J. L., & López, A. D. (1997) · The Lancet · doi:10.1016/s0140-6736(96)07492-2 · Cited by 7,007
(1996) · Cited by 6,884
Lopez, A. D., Mathers, C. D., Ezzati, M., Jamison, D. T., & Murray, C. J. (2006) · The Lancet · doi:10.1016/s0140-6736(06)68770-9 · Cited by 5,630
Self-citationEzzati, M., López, A. D., Rodgers, A., & Murray, C. J. L. (2004) · Cited by 3,319
Global Burden of Disease and Risk Factors
López, A. D., Mathers, C. D., Ezzati, M., Jamison, D. T. T., & Murray, C. J. L. (2006) · World Bank, Washington, DC eBooks · doi:10.1596/978-0-8213-6262-4 · Cited by 2,714
Self-citationModeling and Forecasting U. S. Mortality
Lee, R. D., & Carter, L. R. (1992) · Journal of the American Statistical Association · doi:10.1080/01621459.1992.10475265 · Cited by 2,348
(2005) · Europe PMC (PubMed Central) · Cited by 1,975
Self-citationThe Atlas of Heart Disease and Stroke
Mackay, J., Mensah, G. A., & Mendis, S. (2004) · Medical Entomology and Zoology · Cited by 1,550
Mortality from tobacco in developed countries: indirect estimation from national vital statistics.
Peto, R., Boreham, J., Lopez, A. D., Thun, M., & Heath, C. (1992) · The Lancet · doi:10.1016/0140-6736(92)91600-d · Cited by 1,394
Research works printed but not linked: 23
- Murray, 1996, The global burden of disease, 325
- Murray, 1997, Lancet, 349, 1498
- Lee, 1992, J Am Stat Assoc, 87, 659
- Lee, 2000, NAAJ, 4, 80
- Weinstein, 1987, Am J Public Health, 77, 1417
- Wolfson, 1994, World Health Stat Q, 47, 157
- Bronnum-Hansen, 1999, J Epidemiol Community Health, 53, 300
- Stover, 2002, Lancet, 360, 73
- Salomon, 2002, Popul Dev Rev, 28, 205
- Lopez, 2006, Lancet, 367, 1747
- Peto, 1992, Lancet, 339, 1268
- Mathers, 2005, Bull World Health Organ, 83, 171
- Barro, 1996, Am Econ Rev, 86, 218
- Ezzati, 2004, Comparative quantification of health risks: Global and regional burden of disease attributable to selected major risk factors, 959
- Ezzati, 2003, Tob Control, 12, 79
- Shibuya, 2005, Int J Cancer, 117, 476
- Walker, 2003, AIDS, 17, 2215
- Salomon, 2005, PLoS Med, 2, e16
- Bray, 2006, Nat Rev Cancer, 6, 63
- Wild, 2004, Diabetes Care, 27, 1047
- Ohinmaa, 2004, Can J Diabetes, 28, 1
- Boyle, 2001, Diabetes Care, 24, 1936
- Peto, 1996, Br Med Bull, 52, 12
Cited by
Sorted by citations
Items 801–900 of 1,142
Gut hormone polyagonists for the treatment of type 2 diabetes
Brandt, S. J., Götz, A., Tschöp, M. H., & Müller, T. D. (2018) · Peptides · doi:10.1016/j.peptides.2017.12.021 · Cited by 108
Kidd, J. D., Jackman, K., Wolff, M., Veldhuis, C. B., & Hughes, T. L. (2018) · Current Addiction Reports · doi:10.1007/s40429-018-0196-9 · Cited by 119
Cicalău, G. I. P., Babeș, P. A., Câlniceanu, H., Popa, A., Ciavoi, G., Iova, G. M., Ganea, M., & Scrobotă, I. (2021) · Molecules · doi:10.3390/molecules26226899 · Cited by 114
Cortical Control of Affective Networks
Kumar, S., Black, S. J., Hultman, R., Szabo, S. T., DeMaio, K. D., Du, J., Katz, B. M., Feng, G., Covington, H. E., & Dzirasa, K. (2013) · The Journal of Neuroscience · doi:10.1523/jneurosci.0092-12.2013 · Cited by 110
Sanchez-Morillo, D., Fernandez-Granero, M. A., & Leon-Jimenez, A. (2016) · Chronic Respiratory Disease · doi:10.1177/1479972316642365 · Cited by 110
Determinants of help-seeking behavior in depression: a cross-sectional study
Boerema, A. M., Kleiboer, A., Beekman, A. T. F., van Zoonen, K., Dijkshoorn, H., & Cuijpers, P. (2016) · BMC Psychiatry · doi:10.1186/s12888-016-0790-0 · Cited by 110
A Review on the Traditional Chinese Medicinal Herbs and Formulae with Hypolipidemic Effect
Sham, T.-T., Chan, C.-O., Wang, Y., Jian-mei, Y., Mok, D. K., & Chan, S. (2014) · BioMed Research International · doi:10.1155/2014/925302 · Cited by 107
State-level social capital and suicide mortality in the 50 U.S. states
Smith, N. D. L., & Kawachi, I. I. (2014) · Social Science & Medicine · doi:10.1016/j.socscimed.2014.09.007 · Cited by 111
Secondhand Smoke Exposure and Depressive Symptoms
Bandiera, F. C., Arheart, K. L., Caban-Martinez, A. J., Fleming, L. E., McCollister, K. E., Dietz, N. A., LeBlanc, W. G., Davila, E. P., Lewis, J. E., Serdar, B., et al. (2009) · Psychosomatic Medicine · doi:10.1097/psy.0b013e3181c6c8b5 · Cited by 113
Campo, G. C., Pavasini, R., Malagù, M., Mascetti, S., Biscaglia, S., Ceconi, C., Papi, A. A., & Contoli, M. (2015) · Cardiovascular Drugs and Therapy · doi:10.1007/s10557-014-6569-y · Cited by 110
The respiratory threat posed by multidrug resistant G ram‐negative bacteria
Rodrigo‐Troyano, A., & Sibila, O. (2017) · Respirology · doi:10.1111/resp.13115 · Cited by 112
Saragoussi, D., Christensen, M. C., Hammer-Helmich, L., Rive, B., Touya, M., & Haro, J. M. (2018) · Neuropsychiatric Disease and Treatment · doi:10.2147/ndt.s159276 · Cited by 117
Depressive Symptoms Among Children and Adolescents in China: A Systematic Review and Meta-Analysis
Li, J., Li, J., Liang, J., Qian, S., Jia, R., Ying-quan, W., & Xu, Y. (2019) · Medical Science Monitor · doi:10.12659/msm.916774 · Cited by 115
Kleiboer, A. M., Donker, T., Seekles, W., van Straten, A., Riper, H. M., & Cuijpers, P. J. (2015) · Behaviour Research and Therapy · doi:10.1016/j.brat.2015.06.013 · Cited by 113
Powell, H. A., Iyen, B., Baldwin, D., Hubbard, R., & Tata, L. J. (2012) · Journal of Thoracic Oncology · doi:10.1097/jto.0b013e318274a7dc · Cited by 110
Hastie, R., & Lappas, M. (2014) · Placenta · doi:10.1016/j.placenta.2014.06.368 · Cited by 107
Richards, D., Timulak, L., O'Brien, E., Hayes, C., Vigano, N., Sharry, J., & Doherty, G. (2015) · Behaviour Research and Therapy · doi:10.1016/j.brat.2015.10.005 · Cited by 109
Weisler, R. H., Joyce, J. M., McGill, L., Lazarus, A. L., Szamosi, J., Eriksson, H., & Moonstone Study Group (2009) · CNS Spectrums · doi:10.1017/s1092852900020307 · Cited by 109
Nanotoxicity Overview: Nano-Threat to Susceptible Populations
Li, Y., Zhang, Y. L., & Yan, B. (2014) · International Journal of Molecular Sciences · doi:10.3390/ijms15033671 · Cited by 111
Comorbidities and Burden of COPD: A Population Based Case-Control Study
Baty, F., Putora, P. M., Isenring, B. D., Blum, T. G., & Brutsche, M. H. (2013) · PLoS ONE · doi:10.1371/journal.pone.0063285 · Cited by 110
Prevalence and Predictors of Depression among Pregnant Women in Debretabor Town, Northwest Ethiopia
Bisetegn, T. A., Mihretie, G., & Muche, T. (2016) · PLoS ONE · doi:10.1371/journal.pone.0161108 · Cited by 115
The contribution of perceived ethnic discrimination to the prevalence of depression
Ikram, U. Z., Snijder, M. B., Fassaert, T. J. L., Schene, A. H., Kunst, A. E., & Stronks, K. (2014) · European Journal of Public Health · doi:10.1093/eurpub/cku180 · Cited by 107
A structural test of the integrated motivational-volitional model of suicidal behaviour
Dhingra, K., Boduszek, D., & O'Connor, R. C. (2016) · Psychiatry Research · doi:10.1016/j.psychres.2016.03.023 · Cited by 105
Prevalence of different comorbidities in COPD patients by gender and GOLD stage
Negro, R. W. D., Bonadiman, L., & Turco, P. (2015) · Multidisciplinary Respiratory Medicine · doi:10.1186/s40248-015-0023-2 · Cited by 108
Atsou, K., CHOUAID, C., & Hejblum, G. (2011) · BMC Medicine · doi:10.1186/1741-7015-9-7 · Cited by 117
The Global Health System: Actors, Norms, and Expectations in Transition
Szlezák, N. A., Bloom, B. R., Jamison, D. T. T., Keusch, G. T., Michaud, C. M., Moon, S., & Clark, W. C. (2010) · PLoS Medicine · doi:10.1371/journal.pmed.1000183 · Cited by 108
Petroze, R. T., Groen, R. S., Niyonkuru, F., Mallory, M. A., Ntaganda, E., Joharifard, S., Guterbock, T. M., Kushner, A. L., Kyamanywa, P., & Calland, J. F. (2012) · Surgery · doi:10.1016/j.surg.2012.10.001 · Cited by 108
Cardiovascular considerations in antidepressant therapy: an evidence-based review.
Yekehtaz, H., Farokhnia, M., & Akhondzadeh, S. (2013) · PubMed Central · Cited by 107
Transcriptomic epidemiology of smoking: the effect of smoking on gene expression in lymphocytes
Charlesworth, J., Curran, J. E., Johnson, M. P., Göring, H. H. H., Dyer, T. D., Diego, V. P., Kent, J. W., Mahaney, M. C., Almasy, L. A., MacCluer, J. W., et al. (2010) · BMC Medical Genomics · doi:10.1186/1755-8794-3-29 · Cited by 108
Yuan, Y., Sun, H. Q., & Sun, Z. (2017) · Lipids in Health and Disease · doi:10.1186/s12944-017-0522-6 · Cited by 108
Role of glutathione peroxidase 1 in glucose and lipid metabolism-related diseases
Huang, J., Zhou, J., Wu, Y., Ren, F., & Lei, X. G. (2018) · Free Radical Biology and Medicine · doi:10.1016/j.freeradbiomed.2018.05.077 · Cited by 110
Exercise assessments and trainings of pulmonary rehabilitation in COPD: a literature review
Zeng, Y., Jiang, F., Chen, Y., Chen, P., & Cai, S. (2018) · International Journal of COPD · doi:10.2147/copd.s167098 · Cited by 121
Mental health policy process: a comparative study of Ghana, South Africa, Uganda and Zambia
Omar, M. A., Green, A. T., Bird, P. K., Mirzoev, T. N., Flisher, A. J., Kigozi, F. N., Lund, C., Mwanza, J., & Ofori-Atta, A. L. (2010) · International Journal of Mental Health Systems · doi:10.1186/1752-4458-4-24 · Cited by 108
Toledo, E., Wang, D. D., Ruiz‐Canela, M., Clish, C. B., Razquín, C., Zheng, Y., Guasch‐Ferré, M., Hruby, A., Corella, D., Gómez‐Gracia, E., et al. (2017) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.116.151159 · Cited by 115
Glucagon-like peptide-1 receptor agonists: a systematic review of comparative effectiveness research
Levin, P. A., Nguyen, H., Wittbrodt, E., & Kim, S. C. (2017) · Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy · doi:10.2147/dmso.s130834 · Cited by 107
Saleheen, D., Zaidi, M. A., Rasheed, A., Ahmad, U., Hakeem, A., Murtaza, M., Kayani, W. T., FARUQUI, A. M. A., Kundi, A., Zaman, K. S., et al. (2009) · European Journal of Epidemiology · doi:10.1007/s10654-009-9334-y · Cited by 105
Barger, S. D., Messerli‐Bürgy, N., & Barth, J. (2014) · BMC Public Health · doi:10.1186/1471-2458-14-273 · Cited by 118
Clinical effectiveness: The importance of psychosocial functioning outcomes
Lam, R. W. M., Filteau, M., & Milev, R. V. (2011) · Journal of Affective Disorders · doi:10.1016/j.jad.2011.03.046 · Cited by 110
Motoric cognitive risk syndrome and risk of mortality in older adults
Ayers, E. I., & Verghese, J. (2015) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2015.08.167 · Cited by 107
Roquilly, A., Loutrel, O., Cinotti, R., Rosenczweig, E., Flet, L., Mahe, P. J., Dumont, R., Chupin, A. M., Peneau, C., Lejus‐Bourdeau, C., et al. (2013) · Critical Care · doi:10.1186/cc12686 · Cited by 107
Collins, D. R. J., Tompson, A., Onakpoya, I., Roberts, N. W., Ward, A. M., & Heneghan, C. J. (2017) · BMJ Open · doi:10.1136/bmjopen-2016-013650 · Cited by 107
Cosh, S., von Hanno, T., Helmer, C., Bertelsen, G., Delcourt, C., Schirmer, H., & the SENSE‐Cog Group (2017) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.4827 · Cited by 107
Chronic kidney disease epidemic: How do we deal with it?
Ng, J. K., & Li, P. K. (2018) · Nephrology · doi:10.1111/nep.13464 · Cited by 115
Wang, L., Zhang, M., Yang, B., Tan, J., Ding, X., & Li, W. (2021) · Small Methods · doi:10.1002/smtd.202100409 · Cited by 109
Fog-assisted personalized healthcare-support system for remote patients with diabetes
Devarajan, M., Subramaniyaswamy, V., Vijayakumar, V., & Ravi, L. (2019) · Journal of Ambient Intelligence and Humanized Computing · doi:10.1007/s12652-019-01291-5 · Cited by 105
Gestational Diabetes Mellitus and Cardiovascular Risk after Pregnancy
Harreiter, J., Dovjak, G. O., & Kautzky‐Willer, A. (2013) · Women s Health · doi:10.2217/whe.13.69 · Cited by 107
Active ageing and solidarity between generations in Europe
Weber, G., Börsch-Supan, A., Brandt, M., & Litwin, H. (2013) · De Gruyter eBooks · doi:10.1515/9783110295467 · Cited by 106
Chen, X., Sykora, M. D., Jackson, T., & Elayan, S. (2018) · International World Wide Web Conference (WWW) · doi:10.1145/3184558.3191624 · Cited by 109
Current concepts for the evaluation and management of diabetic foot ulcers
Mavrogenis, A. F., Megaloikonomos, P. D., Antoniadou, T., Igoumenou, V. G., Panagopoulos, G. N., Dimopoulos, L., Moulakakis, K. G., Sfyroeras, G. S., & Lazaris, A. M. (2018) · EFORT Open Reviews · doi:10.1302/2058-5241.3.180010 · Cited by 106
Kowaltowski, A. J., & Abdulkader, F. (2020) · Springer eBooks · doi:10.1007/978-3-030-50968-2_9 · Cited by 106
Changing global policy to deliver safe, equitable and affordable care for women's cancers
Ginsburg, O., Badwe, R., Boyle, P., Derricks, G., Dare, A., Evans, T., Eniu, A., Jimenez, J., Kutluk, T., Lopes, G., et al. (2017) · The Lancet · doi:10.1016/s0140-6736(16)31393-9 · Cited by 102
Antibody Positron Emission Tomography Imaging in Anticancer Drug Development
Lamberts, L. E., Williams, S. P., van Scheltinga, A. G. T. T., Hooge, M. N. L., Schröder, C. P., Gietema, J. A., Brouwers, A. H., & de Vries, E. G. E. (2015) · Journal of Clinical Oncology · doi:10.1200/jco.2014.57.8278 · Cited by 104
Alpha amylase, alpha glucosidase and glycation inhibitory activity of Moringa oleifera extracts
Magaji, U. F., Saçan, Ö., & Yanardağ, R. (2019) · South African Journal of Botany · doi:10.1016/j.sajb.2019.11.024 · Cited by 105
Whitaker, J., O’Donohoe, N., Denning, M., Poenaru, D., Guadagno, E., Leather, A. J. M., & Davies, J. I. (2021) · BMJ Global Health · doi:10.1136/bmjgh-2020-004324 · Cited by 123
Cheng, K., Guo, Q., Yang, W., Wang, Y., Sun, Z., & Wu, H. (2022) · Frontiers in Public Health · doi:10.3389/fpubh.2022.918483 · Cited by 107
Garbin, U., Pasini, A. F., Stranieri, C., Cominacini, M., Pasini, A., Manfro, S., Lugoboni, F., Mozzini, C., Guidi, G. C., Faccini, G., et al. (2009) · PLoS ONE · doi:10.1371/journal.pone.0008225 · Cited by 105
O’Doherty, M. G., Cairns, K. J., O’Neill, V., Lamrock, F., Jørgensen, T., Brenner, H., Schöttker, B., Wilsgaard, T., Siganos, G., Kuulasmaa, K., et al. (2016) · European Journal of Epidemiology · doi:10.1007/s10654-015-0112-8 · Cited by 105
Where Have All the Donors Gone? Scarce Donor Funding for Non-Communicable DiseasesPreprint
Nugent, R. A., & Feigl, A. B. (2010) · SSRN Electronic Journal · doi:10.2139/ssrn.1824392 · Cited by 105
Solati, Z., Jazayeri, S., Tehrani-Doost, M., Mahmoodianfard, S., & Gohari, M. R. (2015) · Nutritional Neuroscience · doi:10.1179/1476830513y.0000000105 · Cited by 104
Albanese, E., Liu, Z., Acosta, D. M., Guerra, M., Huang, Y., Jacob, K. S., Jiménez‐Velázquez, I. Z., Rodríguez, J. J. L., Salas, A., Sosa, A. L., et al. (2011) · BMC Health Services Research · doi:10.1186/1472-6963-11-153 · Cited by 107
Hughes, B. B., Kuhn, R., Peterson, C., Rothman, D., Solórzano, J., Mathers, C., & Dickson, J. R. (2011) · Bulletin of the World Health Organization · doi:10.2471/blt.10.083766 · Cited by 91
Self-citationKuete, V., Mbaveng, A. T., Zeino, M., Fozing, C. D., Ngameni, B., Kapche, G. D. W. F., Ngadjui, B. T., & Efferth, T. (2015) · Phytomedicine · doi:10.1016/j.phymed.2015.07.006 · Cited by 104
Syndromes of thrombotic microangiopathy associated with pregnancy
George, J. N., Nester, C., & McIntosh, J. J. (2015) · Hematology · doi:10.1182/asheducation-2015.1.644 · Cited by 104
Acute Hyperglycemia Impairs Vascular Function in Healthy and Cardiometabolic Diseased Subjects
Loader, J., Montero, D., Lorenzen, C. H., Watts, R., Méziat, C., Reboul, C., Stewart, S., & Walther, G. (2015) · Arteriosclerosis Thrombosis and Vascular Biology · doi:10.1161/atvbaha.115.305530 · Cited by 110
Racial/Ethnic Disparities in Cervical Cancer Screening and Outcomes
Musselwhite, L. W., de Oliveira, C. M., Kwaramba, T., Pantano, N., Smith, J. S., Fregnani, J. H. T. G., Reis, R. M., Mauad, E. C., Vazquez, F. D. L., & Longatto‐Filho, A. (2016) · Acta Cytologica · doi:10.1159/000452240 · Cited by 105
Choi, E. S., Yoon, J. J., Han, B. H., Jeong, D. H., Lee, Y. J., Kang, D. G., & Lee, H. S. (2017) · Phytomedicine · doi:10.1016/j.phymed.2017.09.022 · Cited by 104
The Ketogenic Diet and Cardiovascular Diseases
Dyńka, D., Kowalcze, K., Charuta, A., & Paziewska, A. (2023) · Nutrients · doi:10.3390/nu15153368 · Cited by 127
A possible negative influence of depression on the ability to overcome memory interference
Shelton, D. J., & Kirwan, C. B. (2013) · Behavioural Brain Research · doi:10.1016/j.bbr.2013.08.016 · Cited by 112
Research on cancer prevention, detection and management in low- and medium-income countries
Sankaranarayanan, R., & Boffetta, P. (2010) · Annals of Oncology · doi:10.1093/annonc/mdq049 · Cited by 106
Tea consumption and the risk of depression: a meta-analysis of observational studies
Dong, X., Yang, C., Cao, S., Gan, Y., Sun, H., Gong, Y., Yang, H., Yin, X., & Lu, Z. (2015) · Australian & New Zealand Journal of Psychiatry · doi:10.1177/0004867414567759 · Cited by 102
Duclot, F., & Kabbaj, M. (2015) · Journal of Experimental Biology · doi:10.1242/jeb.107086 · Cited by 103
Prevalence and characteristics of hearing problems in a working and non-working Swedish population
Hasson, D., Theorell, T., Westerlund, H., & Canlon, B. (2009) · Journal of Epidemiology & Community Health · doi:10.1136/jech.2009.095430 · Cited by 108
Pattaro, C., Gögele, M., Mascalzoni, D., Melotti, R., Schwienbacher, C., Grandi, A. D., Foco, L., D’Elia, Y., Linder, B., Fuchsberger, C., et al. (2015) · Journal of Translational Medicine · doi:10.1186/s12967-015-0704-9 · Cited by 103
Bezold, C. P., Banay, R. F., Coull, B. A., Hart, J. E., James, P., Kubzansky, L. D., Missmer, S. A., & Laden, F. (2017) · Journal of Adolescent Health · doi:10.1016/j.jadohealth.2017.10.008 · Cited by 103
Direct cardiovascular impact of SGLT2 inhibitors: mechanisms and effects
Kaplan, A., Abidi, E., EL‐Yazbi, A. F., Eid, A. H., Booz, G. W., & Zouein, F. A. (2018) · Heart Failure Reviews · doi:10.1007/s10741-017-9665-9 · Cited by 108
Zhang, G., Yu, C., Zhou, M., Wang, L., Zhang, Y., & Luo, L. (2018) · BMC Cardiovascular Disorders · doi:10.1186/s12872-018-0761-0 · Cited by 106
Global Economic and Health Benefits of Tobacco Control: Part 1
Wipfli, H. L., & Samet, J. M. (2009) · Clinical Pharmacology & Therapeutics · doi:10.1038/clpt.2009.93 · Cited by 103
Blodgett, J. M., Lachance, C. C., Stubbs, B., Co, M., Wu, Y.-T., Prina, M. A., Tsang, V. W. L., & Cosco, T. D. (2021) · BMC Psychiatry · doi:10.1186/s12888-021-03206-1 · Cited by 104
Tanaka, H., Sasazawa, Y., Suzuki, S., Nakazawa, M., & Koyama, H. (2011) · BMC Psychiatry · doi:10.1186/1471-244x-11-20 · Cited by 103
Bjelaković, G., Nikolova, D., Simonetti, R. G., & Gluud, C. N. (2008) · Alimentary Pharmacology & Therapeutics · doi:10.1111/j.1365-2036.2008.03785.x · Cited by 105
Modifying 5-HT1A receptor gene expression as a new target for antidepressant therapy
Albert, P. R. (2010) · Frontiers in Neuroscience · doi:10.3389/fnins.2010.00035 · Cited by 112
Mental health in the slums of Dhaka - a geoepidemiological study
Gruebner, O., Khan, M. M. H., Lautenbach, S., Müller, D., Krämer, A., Lakes, T., & Hostert, P. (2012) · BMC Public Health · doi:10.1186/1471-2458-12-177 · Cited by 104
Korpershoek, Y. J. G., Vervoort, S. C. J. M., Trappenburg, J. C. A., & Schuurmans, M. J. (2018) · BMC Health Services Research · doi:10.1186/s12913-018-3545-4 · Cited by 87
Cardiac endothelial cells express Wilms' tumor-1
Duim, S. N., Kurakula, K., Goumans, M., & Kruithof, B. P. T. (2015) · Journal of Molecular and Cellular Cardiology · doi:10.1016/j.yjmcc.2015.02.007 · Cited by 100
Chronic disease management programmes for adults with asthma
Peytremann‐Bridevaux, I., Arditi, C., Gex, G., Bridevaux, P., & Burnand, B. (2015) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd007988.pub2 · Cited by 102
Update on the Use of MR for Assessment and Diagnosis of Psychiatric Diseases
Agarwal, N., Port, J. D., Bazzocchi, M., & Renshaw, P. F. (2010) · Radiology · doi:10.1148/radiol.09090339 · Cited by 104
Burden of type 2 diabetes in Mexico: past, current and future prevalence and incidence rates
Meza, R., Barrientos‐Gutiérrez, T., Rojas, R., Reynoso‐Noverón, N., Palacio-Mejía, L. S., Lazcano-Ponce, E. C., & Hernández‐Ávila, M. (2015) · Preventive Medicine · doi:10.1016/j.ypmed.2015.10.015 · Cited by 102
Food patterns and the prevention of depression
Martínez‐González, M. Á., & Sánchez‐Villegas, A. (2016) · Proceedings of The Nutrition Society · doi:10.1017/s0029665116000045 · Cited by 102
Onset of Impaired Sleep and Cardiovascular Disease Risk Factors: A Longitudinal Study
Clark, A. J., Salo, P., Lange, T., Jennum, P., Virtanen, M., Pentti, J., Mika Kivimaki, B., Rod, N. H., & Vahtera, J. (2016) · SLEEP · doi:10.5665/sleep.6098 · Cited by 104
Molecular imaging of inflammation - Current and emerging technologies for diagnosis and treatment
MacRitchie, N. A., Frleta‐Gilchrist, M., Sugiyama, A., Lawton, T., McInnes, I. B., & Maffia, P. (2020) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2020.107550 · Cited by 106
Socio‐economic status in childhood and later alcohol use: a systematic review*
Wiles, N., Lingford-Hughes, A. R., Daniel, J. Z., Hickman, M., Farrell, M., Macleod, J., Haynes, J. C., Skapinakis, P., Araya, R., & Lewis, G. (2007) · Addiction · doi:10.1111/j.1360-0443.2007.01930.x · Cited by 102
Increased Fructose Intake as a Risk Factor For Dementia
Stephan, B. C. M., Wells, J. C. K., Brayne, C., Albanese, E., & Siervo, M. (2010) · The Journals of Gerontology Series A · doi:10.1093/gerona/glq079 · Cited by 104
Effects of Native and Modified Low-Density Lipoproteins on Monocyte Recruitment in Atherosclerosis
Gleissner, C. A., Leitinger, N., & Ley, K. F. (2007) · Hypertension · doi:10.1161/hypertensionaha.107.089854 · Cited by 103
Jonkman, N. H., Schuurmans, M. J., Groenwold, R. H. H., Hoes, A. W., & Trappenburg, J. C. A. (2016) · Patient Education and Counseling · doi:10.1016/j.pec.2016.01.022 · Cited by 101
Kambeitz, J. P., & Howes, O. D. (2015) · Journal of Affective Disorders · doi:10.1016/j.jad.2015.07.034 · Cited by 96
Dopaminergic and cholinergic learning mechanisms in nicotine addiction
Subramaniyan, M., & Dani, J. A. (2015) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.12871 · Cited by 110
Phillips, B. W., Veljkovic, E., Peck, M. J., Buettner, A., Elamin, A., Guedj, E., Vuillaume, G., Ivanov, N. V., Martin, F. P., Boué, S., et al. (2015) · Food and Chemical Toxicology · doi:10.1016/j.fct.2015.03.009 · Cited by 104
Custódio, L. M. B., Patarra, J., Alberício, F., Neng, N. R., Nogueira, J. M. F., & Romano, A. (2014) · Industrial Crops and Products · doi:10.1016/j.indcrop.2014.11.001 · Cited by 107
F2RL3methylation in blood DNA is a strong predictor of mortality
Zhang, Y., Yang, R., Burwinkel, B., Breitling, L. P., Holleczek, B., Schöttker, B., & Brenner, H. (2014) · International Journal of Epidemiology · doi:10.1093/ije/dyu006 · Cited by 101
Nanoliposomes as the adjuvant delivery systems in cancer immunotherapy
Zamani, P., Momtazi‐Borojeni, A. A., Nik, M. E., Oskuee, R. K., & Sahebkar, A. (2017) · Journal of Cellular Physiology · doi:10.1002/jcp.26361 · Cited by 101
Metadata
- Authors
- Mathers, C. D., & Loncar, D.
- Affiliations
- World Health Organization (CH)
- Corresponding author
- Mathers, Colin D
- ORCID
- Mathers, Colin D
- Venue
- PLoS Medicine
- Publisher
- Public Library of Science (PLoS)
- Published
- 2006-11-28
- Volume
- 3
- Issue
- 11
- Pages
- e442
- ISSN
- 1549-1277 (ISSN-L)
- 1549-1676
- PMC
- PMC1664601
- OpenAlex
- W2054931962
- Cited by
- 11,386
- References
- 33
- Citations by year
- 2026: 205 · 2025: 373 · 2024: 586 · 2023: 646 · 2022: 671 · 2021: 738 · 2020: 801 · 2019: 833 · 2018: 855 · 2017: 787 · 2016: 796 · 2015: 844 · 2014: 709 · 2013: 627 · 2012: 490
- FWCI
- 592.00
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- PLoS Medicine (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Figshare (submittedVersion, cc-by)
- Funders
- World Health Organization
- Strong
- Topics
- Social Sciences › Demography › Insurance, Mortality, Demography, Risk Management
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Global Health and Epidemiology
- Health Sciences › Medicine › Epidemiology › Healthcare Systems and Public Health
- Keywords
- disease burden, non-communicable diseases, HIV mortality, communicable disease mortality, child mortality, economic development scenarios, age distribution of deaths, body mass index, human capital, income and mortality, death registration data
- MeSH terms
- Acquired Immunodeficiency Syndrome, Adolescent, Adult, Aged, Cause of Death, Child, Child, Preschool, Developing Countries, Epidemiology, Humans, Infant, Infant, Newborn, Middle Aged, Mortality, Smoking, Global Health, HIV Infections
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.
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