{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,16]],"date-time":"2026-04-16T08:56:21Z","timestamp":1776329781907,"version":"3.50.1"},"reference-count":38,"publisher":"Baskent University","issue":"11","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Exp Clin Transplant"],"published-print":{"date-parts":[[2021,11]]},"DOI":"10.6002\/ect.2021.0119","type":"journal-article","created":{"date-parts":[[2021,8,18]],"date-time":"2021-08-18T02:54:45Z","timestamp":1629255285000},"page":"1149-1155","source":"Crossref","is-referenced-by-count":1,"title":["Prevalence of Carotid Artery Calcification on Digital Panoramic Radiographs in Hemodialysis Patients on Kidney Transplant Waiting List"],"prefix":"10.6002","volume":"19","author":[{"given":"Elif","family":"In\u00f6n\u00fc","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mediha Nur","family":"Nisanci Yilmaz","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kaan","family":"Orhan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mehmet \u00d6zg\u00fcr","family":"\u00d6zemre","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nagehan Burcu","family":"\u00d6g\u00fctc\u00fc","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"\u00d6znur","family":"Kal","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"4021","reference":[{"key":"ref0","unstructured":"BP (British Petroleum), (2018) BP world energy statistics. Available: https:\/\/www.bp.com\/content\/dam\/bp\/business-sites\/en\/global\/corporate\/pdfs\/energy-economics\/statistical-review\/bp-stats-review-2018-full-report.pdf. Accessed date : 20 August 2021."},{"key":"ref1","doi-asserted-by":"publisher","first-page":"310","DOI":"10.3390\/en12163102","article-title":"Spatial-temporal characteristics of the driving factors of agricultural carbon emissions: Empirical evidence from Fujian, China","author":"Chen","year":"2019","unstructured":"Chen Y, Li M, Su K et al (2019) Spatial-temporal characteristics of the driving factors of agricultural carbon emissions: Empirical evidence from Fujian, China. Energies, 12(16), 3102.","journal-title":"Energies 12(16)"},{"key":"ref2","doi-asserted-by":"publisher","first-page":"187","DOI":"10.1016\/j.resconrec.2017.10.035","article-title":"Drivers of carbon emission intensity change in China","volume":"129","author":"Dong","year":"2018","unstructured":"Dong F, Yu B, Hadachin T et al (2018) Drivers of carbon emission intensity change in China. Resour Conserv Recycl. 129, 187-201.","journal-title":"Resour Conserv Recycl"},{"key":"ref3","doi-asserted-by":"publisher","first-page":"1102","DOI":"10.1016\/j.jclepro.2018.02.304","article-title":"A decomposition analysis of energy-related CO2 emissions in Chinese six high-energy intensive industries","volume":"184","author":"Du","year":"2018","unstructured":"Du G, Sun C, Ouyang X et al (2018) A decomposition analysis of energy-related CO2 emissions in Chinese six high-energy intensive industries. J Cleaner Prod 184, 1102-1112.","journal-title":"J Cleaner Prod"},{"key":"ref4","doi-asserted-by":"publisher","first-page":"247","DOI":"10.3934\/QFE.2021011","article-title":"Does financial globalization uncertainty affect CO2 emissions? Empirical evidence from some selected SSA countries","author":"Farouq I","year":"2021","unstructured":"Farouq I S, Sambo N U, Ahmad A U et al (2021) Does financial globalization uncertainty affect CO2 emissions? Empirical evidence from some selected SSA countries. Quantitative Finance and Economics 5(2), 247-263.","journal-title":"Quantitative Finance and Economics 5(2)"},{"key":"ref5","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1016\/j.resconrec.2016.06.013","article-title":"Energy-related GHG emissions of the textile industry in China","volume":"119","author":"Huang","year":"2017","unstructured":"Huang B, Zhao J, Geng Y et al (2017) Energy-related GHG emissions of the textile industry in China. Resour Conserv Recycl 119, 69-77.","journal-title":"Resour Conserv Recycl"},{"key":"ref6","unstructured":"Hu J P, Gui S S, Ren Y Y (2016) Research on the Dynamic Change of Carbon Footprint about Energy Consumption and Industrial Processes: Data Analysis Based on 1990-2014 of Guizhou Province. Ecological Economy (12):39-42. (in Chinese)"},{"key":"ref7","doi-asserted-by":"publisher","unstructured":"IPCC (Intergovernmental Panel on Climate Change) (2014) Climate Change 2013-The Physical Science Basis: Working Group I Contribution to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge: Cambridge University Press. doi:10.1017\/CBO9781107415324, Accessed date: 8 October 2021.","DOI":"10.1017\/CBO9781107415324"},{"key":"ref8","doi-asserted-by":"publisher","first-page":"210","DOI":"10.1016\/j.tranpol.2020.07.006","article-title":"Driving forces of Turkey's transportation sector CO2 emissions: An LMDI approach","volume":"97","author":"Isik","year":"2020","unstructured":"Isik M, Sarica K, Ari I (2020) Driving forces of Turkey's transportation sector CO2 emissions: An LMDI approach. Transp Policy 97, 210-219.","journal-title":"Transp Policy"},{"key":"ref9","unstructured":"Lai W T, Wang Y, Huang L L et al (2020) Decomposition of driving factors of industry-related CO2 emissions and its decoupling with economic growth in Fujian Province, China. Chin J Appl Ecol (10), 3529-3538. (in Chinese)"},{"key":"ref10","doi-asserted-by":"publisher","first-page":"1348","DOI":"10.1016\/j.rser.2015.09.045","article-title":"Emissions reduction in China's chemical industry-Based on LMDI","volume":"53","author":"Lin","year":"2016","unstructured":"Lin B, Long H (2016) Emissions reduction in China's chemical industry-Based on LMDI. Renewable Sustainable Energy Rev 53, 1348-1355.","journal-title":"Renewable Sustainable Energy Rev"},{"key":"ref11","doi-asserted-by":"publisher","first-page":"386","DOI":"10.1016\/j.rser.2017.04.042","article-title":"Sustainable development of China's energy intensive industries: From the aspect of carbon dioxide emissions reduction","volume":"77","author":"Lin","year":"2017","unstructured":"Lin B, Tan R (2017) Sustainable development of China's energy intensive industries: From the aspect of carbon dioxide emissions reduction. Renewable Sustainable Energy Rev 77, 386-394.","journal-title":"Renewable Sustainable Energy Rev"},{"key":"ref12","doi-asserted-by":"publisher","first-page":"31","DOI":"10.3390\/su10020317","article-title":"Ecological pressure of carbon footprint in passenger transport: Spatio-temporal changes and regional disparities","author":"Ma","year":"2018","unstructured":"Ma F, Wang W, Sun Q et al (2018) Ecological pressure of carbon footprint in passenger transport: Spatio-temporal changes and regional disparities. Sustainability 10(2), 317.","journal-title":"Sustainability 10(2)"},{"key":"ref13","doi-asserted-by":"publisher","first-page":"246","DOI":"10.3390\/ijerph15112467","article-title":"Empirical analysis of carbon emission accounting and influencing factors of energy consumption in China","author":"Meng","year":"2018","unstructured":"Meng Z, Wang H, Wang B (2018) Empirical analysis of carbon emission accounting and influencing factors of energy consumption in China. Int J Environ Res Public Health 15(11), 2467.","journal-title":"Int J Environ Res Public Health 15(11)"},{"key":"ref14","doi-asserted-by":"publisher","first-page":"138473","DOI":"10.1016\/j.scitotenv.2020.138473","article-title":"Analysis on the influencing factors of carbon emission in China's logistics industry based on LMDI method","volume":"734","author":"Quan","year":"2020","unstructured":"Quan C, Cheng X, Yu S et al (2020) Analysis on the influencing factors of carbon emission in China's logistics industry based on LMDI method. Sci Total Environ 734, 138473.","journal-title":"Sci Total Environ"},{"key":"ref15","doi-asserted-by":"publisher","first-page":"121","DOI":"10.1177\/095624789200400212","article-title":"Ecological footprints and appropriated carrying capacity: what urban economics leave out","author":"Rees W","year":"1992","unstructured":"Rees W E (1992) Ecological footprints and appropriated carrying capacity: what urban economics leave out. Environ Urban 4(2), 121-130.","journal-title":"Environ Urban 4(2)"},{"key":"ref16","doi-asserted-by":"publisher","first-page":"85","DOI":"10.1016\/j.jes.2020.09.006","article-title":"Decomposition and decoupling analysis of carbon dioxide emissions in African countries during 1984-2014","volume":"102","author":"Simbi C","year":"2021","unstructured":"Simbi C H, Lin J, Yang D et al (2021) Decomposition and decoupling analysis of carbon dioxide emissions in African countries during 1984-2014. J Environ Sci 102, 85-98.","journal-title":"J Environ Sci"},{"key":"ref17","doi-asserted-by":"publisher","first-page":"310","DOI":"10.3390\/su10093107","article-title":"Spatial-temporal evolution and factor decomposition for ecological pressure of carbon footprint in the One Belt and One Road","author":"Sun","year":"2018","unstructured":"Sun Q, Geng Y, Ma F et al (2018) Spatial-temporal evolution and factor decomposition for ecological pressure of carbon footprint in the One Belt and One Road. Sustainability 10(9), 3107.","journal-title":"Sustainability 10(9)"},{"key":"ref18","doi-asserted-by":"publisher","first-page":"91","DOI":"10.3934\/QFE.2020005","article-title":"Low-frequency relationship between money growth and inflation in Turkey","author":"Tastan","year":"2020","unstructured":"Tastan H, Sahin S (2020) Low-frequency relationship between money growth and inflation in Turkey. Quantitative Finance and Economics 4(1), 91-120.","journal-title":"Quantitative Finance and Economics 4(1)"},{"key":"ref19","doi-asserted-by":"publisher","unstructured":"Wang M, Feng C (2017) Decomposition of energy-related CO2 emissions in China: an empirical analysis based on provincial panel data of three sectors. Appl. Energy 190, 772-787.","DOI":"10.1016\/j.apenergy.2017.01.007"},{"key":"ref20","doi-asserted-by":"publisher","unstructured":"Wang M, Feng C (2018a) Decomposing the change in energy consumption in China's nonferrous metal industry: An empirical analysis based on the LMDI method. Renewable Sustainable Energy Rev 82, 2652-2663.","DOI":"10.1016\/j.rser.2017.09.103"},{"key":"ref21","doi-asserted-by":"publisher","unstructured":"Wang M, Feng C (2018b) Using an extended logarithmic mean Divisia index approach to assess the roles of economic factors on industrial CO2 emissions of China. Energ Econ 76, 101-114.","DOI":"10.1016\/j.eneco.2018.10.008"},{"key":"ref22","unstructured":"Wang Y, Gu S P (2018) Analysis of electricity carbon footprint and its ecological stress in China from 2006 to 2015. Acta Sci. Circumst (12),4873-4878. (in Chinese)"},{"key":"ref23","doi-asserted-by":"publisher","first-page":"280","DOI":"10.1016\/j.atmosenv.2016.09.038","article-title":"How to achieve the 2020 and 2030 emissions targets of China: Evidence from high, mid and low energy-consumption industrial sub-sectors. Atmos","volume":"145","author":"Wang","year":"2016","unstructured":"Wang J, Zhao T, Wang Y (2016) How to achieve the 2020 and 2030 emissions targets of China: Evidence from high, mid and low energy-consumption industrial sub-sectors. Atmos. Environ 145, 280-292.","journal-title":"Environ"},{"key":"ref24","doi-asserted-by":"publisher","first-page":"58","DOI":"10.1016\/j.jclepro.2016.05.086","article-title":"Driving forces analysis of energy-related carbon dioxide (CO2) emissions in Beijing: an input-output structural decomposition analysis","volume":"163","author":"Wei","year":"2017","unstructured":"Wei J, Huang K, Yang S et al (2017) Driving forces analysis of energy-related carbon dioxide (CO2) emissions in Beijing: an input-output structural decomposition analysis. J Cleaner Prod 163, 58-68.","journal-title":"J Cleaner Prod"},{"key":"ref25","unstructured":"Wiedmann T, Minx J (2008) A definition of 'carbon footprint'. Ecological economics research trends 1, 1-11."},{"key":"ref26","unstructured":"Wu D C, Liu J P (2017) Analysis on the Spatial Differences of Energy and Carbon Footprints among Regions in China. Statistics & Decision (06), 132-136. (in Chinese)"},{"key":"ref27","doi-asserted-by":"publisher","first-page":"601","DOI":"10.3390\/ijerph18116013","article-title":"Decomposition and Decoupling Analysis of CO2 Emissions Based on LMDI and Two-Dimensional Decoupling Model in Gansu Province, China","author":"Xin","year":"2021","unstructured":"Xin L, Jia J, Hu W et al (2021) Decomposition and Decoupling Analysis of CO2 Emissions Based on LMDI and Two-Dimensional Decoupling Model in Gansu Province, China. Int. J Environ Res Public Health 18(11), 6013","journal-title":"Int J Environ Res Public Health 18(11)"},{"key":"ref28","doi-asserted-by":"publisher","first-page":"139","DOI":"10.1016\/j.jclepro.2015.11.050","article-title":"Factors that influence carbon emissions due to energy consumption based on different stages and sectors in China","volume":"115","author":"Xu S","year":"2016","unstructured":"Xu S C, He Z X, Long R Y et al (2016) Factors that influence carbon emissions due to energy consumption based on different stages and sectors in China. J Cleaner Prod 115, 139-148.","journal-title":"J Cleaner Prod"},{"key":"ref29","doi-asserted-by":"publisher","first-page":"3061","DOI":"10.1016\/j.jclepro.2016.10.161","article-title":"Determination of the factors that influence increments in CO2 emissions in Jiangsu, China using the SDA method","volume":"142","author":"Xu S","year":"2017","unstructured":"Xu S C, Zhang L, Liu Y T et al (2017) Determination of the factors that influence increments in CO2 emissions in Jiangsu, China using the SDA method. J Cleaner Prod 142, 3061-3074.","journal-title":"J Cleaner Prod"},{"key":"ref30","doi-asserted-by":"publisher","first-page":"174","DOI":"10.3390\/su9101742","article-title":"Decomposition analysis of the factors that influence energy related air pollutant emission changes in China using the SDA method","author":"Xu","year":"2017","unstructured":"Xu S, Zhang W, Li Q et al (2017) Decomposition analysis of the factors that influence energy related air pollutant emission changes in China using the SDA method. Sustainability 9(10), 1742.","journal-title":"Sustainability 9(10)"},{"key":"ref31","unstructured":"Yang C M (2018) Construction of the Total Carbon Footprint Calculation Model of Chinese Industry and Analysis on Its Influencing Factors. Journal of Statistics and Information (10),75-82. (in Chinese)"},{"key":"ref32","doi-asserted-by":"publisher","first-page":"134569","DOI":"10.1016\/j.scitotenv.2019.134569","article-title":"Driving forces of China's CO2 emissions from energy consumption based on Kaya-LMDI methods","volume":"711","author":"Yang","year":"2020","unstructured":"Yang J, Cai W, Ma M et al (2020) Driving forces of China's CO2 emissions from energy consumption based on Kaya-LMDI methods. Sci Total Environ 711, 134569.","journal-title":"Sci Total Environ"},{"key":"ref33","unstructured":"Zhang Q, Zheng D, Xu X S (2015) Factor decomposition analysis on the energy carbon footprint ecological pres-sure change in China. Journal of Arid Land Resources and Environment (4):41-46. (in Chinese)"},{"key":"ref34","doi-asserted-by":"publisher","unstructured":"Zhang W, Yang Y (2021) Impact analysis of energy-related carbon emission in Chongqing based on LMDI. Environ Prog Sustainable Energy e13724.","DOI":"10.1002\/ep.13724"},{"key":"ref35","doi-asserted-by":"publisher","first-page":"327","DOI":"10.1007\/s11442-021-1839-7","article-title":"Spatial-temporal characteristics and decoupling effects of China's carbon footprint based on multi-source data","author":"Zhang","year":"2021","unstructured":"Zhang Y, Pan J, Zhang Y et al (2021) Spatial-temporal characteristics and decoupling effects of China's carbon footprint based on multi-source data. J Geogr Sci 31(3), 327-349.","journal-title":"J Geogr Sci 31(3)"},{"key":"ref36","doi-asserted-by":"publisher","first-page":"645","DOI":"10.1007\/s11069-016-2710-5","article-title":"Decomposition and scenario analysis of CO 2 emissions in China's power industry: based on LMDI method","author":"Zhao","year":"2017","unstructured":"Zhao Y, Li H, Zhang Z et al (2017) Decomposition and scenario analysis of CO 2 emissions in China's power industry: based on LMDI method. Nat Hazards 86(2), 645-668.","journal-title":"Nat Hazards 86(2)"},{"key":"ref37","unstructured":"Zheng D F, Liu X X, Wang Y Y et al (2020) Assessment of carbon footprint size, depth and its spatial-temporal pattern at the provincial level in China. Acta Ecologica Sinica 2, 447-458. (in Chinese)."}],"container-title":["Experimental and Clinical Transplantation"],"original-title":[],"deposited":{"date-parts":[[2021,11,24]],"date-time":"2021-11-24T01:56:38Z","timestamp":1637718998000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.ectrx.org\/detail\/current\/2021\/19\/11\/0\/1149\/0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,11]]},"references-count":38,"journal-issue":{"issue":"11","published-print":{"date-parts":[[2021,11]]}},"URL":"https:\/\/doi.org\/10.6002\/ect.2021.0119","relation":{},"ISSN":["1304-0855","2146-8427"],"issn-type":[{"value":"1304-0855","type":"print"},{"value":"2146-8427","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,11]]}}}