The global burden of cancer attributable to risk factors, 2010–19: a systematic analysis for the Global Burden of Disease Study 2019
Background: Understanding the magnitude of cancer burden attributable to potentially modifiable risk factors is crucial for development of effective prevention and mitigation strategies. We analysed results from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 to inform can...
Main Authors: | Tran, Khanh Bao, Lang, Justin J., Compton, Kelly, Xu, Rixing, Acheson, Alistair R., Henrikson, Hannah Jacqueline, Kocarnik, Jonathan M., Penberthy, Louise, Aali, Amirali, Abbas, Qamar, Abbasi, Behzad, Abbasi-Kangevari, Mohsen, Abbasi-Kangevari, Zeinab, Abbastabar, Hedayat, Abdelmasseh, Michael, Abd-Elsalam, Sherief, Abdelwahab, Ahmed Abdelwahab, Abdoli, Gholamreza, Abdulkadir, Hanan Abdulkadir, Abedi, Aidin, Abegaz, Kedir Hussein, Abidi, Hassan, Aboagye, Richard Gyan, Abolhassani, Hassan, Absalan, Abdorrahim, Abtew, Yonas Derso, Abubaker Ali, Hiwa, Abu-Gharbieh, Eman, Achappa, Basavaprabhu |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2022
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Subjects: | |
Online Access: | https://repository.ugm.ac.id/282673/1/tran_khan%20bao.pdf |
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