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23 citation(s) found for "Kim, Daniel".

Prospective, randomized dose-escalation trial with proton-based radiation for skull base and cervical spine chondrosarcomas: 30-year outcomes from PROG 85-26
Ioakeim‐Ioannidou, Myrsini, Yeap, Beow Y., Soetan, Z. , Hegazy, Rana , Todary, Engy S. , Tejada, Athena, Adams, Judith E., Kooy, Hanne M., Zieminski, Stephen, Nielsen, G. Petur, Hung, Yin P. , Rosenberg, Andrew , Shankar, Ganesh M. , Cunnane, Mary E. , Chang, Yuh-Shin , Gardner, Paul A. , Giap, Fantine , DeLaney, Thomas F. , Hug, Eugen B., MacDonald, Shannon M. , Packard, Daniel, Hung, Yin P , Kim, Daniel W. , Packard, Daniel George , Hegazy, Rana, Adams, Judith, Depauw, Nicolas , Rosenberg, Andrew, Tobert, Daniel G , Curry, William T. , Coté, Gregory M. , Kelly, Hillary R. , Chen, Yen‐Lin , Liu, Kevin X , Shih, Helen A.

Mayo Clinic

Neuro-Oncology | December 17, 2025 | Volume: 28 | Issue: 4 | Pages: 968-977

10.1093/neuonc/noaf289 | PMID 41414803 Get It

Abstract Background To determine if dose escalation improves outcomes for chondrosarcomas (CHS) of the base of the skull (BOS) and the cervical spine (CS). Methods A prospective, randomized, dose-escalation trial was designed for patients with CHS of the BOS and CS. Patients were randomly assigned to 70 Gy (RBE) or 76 Gy (RBE). The primary endpoint was local failure (LF). Secondary endpoints included overall survival (OS), cancer-specific survival (CSS), progression-free survival (PFS), and treatment-related toxicities. Results Between 1987 and 2007, 105 patients were randomized, median follow-up was 29.2 years (IQR, 26.7-32.4). Forty-six patients were assigned to 70 Gy (RBE) and 59 were assigned to 76 Gy (RBE). LF at 5-, 10-, and 20 years were 7%, 9%, and 11% for 70 Gy (RBE), and 10%, 15%, and 19% for 76 Gy (RBE) (P = .16). Like LF rates, there was no benefit in dose escalation for OS (P = .28) and CSS (P = .22). Progression-free survival at 5-, 10-, and 20 years was 93%, 89%, and 77% for the low-dose group and 83%, 71%, and 59% for the high-dose group (P = .069). Late RT injury ≥ grade 3 was reported in a total of 19 (18%) patients across both dose levels, with 11% in the low-dose group and 24% in the high-dose group (P = .13). Conclusions This is the first and largest trial of patients with grade I/II BOS and CS CHS evaluating dose escalation for tumor control. Proton-based RT is effective and safe for these tumors, but there is no apparent benefit in dose escalation. Clinical Trial Information NCT00592748.
Generative AI and Foundation Models in Radiology: Applications, Opportunities, and Potential Challenges
Tavakoli, Neda , Abad, Zahra Shakeri Hossein , Gowda, Vrushab, Samsel, Konrad , Bedayat, Arash , Ghasemiesfe, Ahmadreza , Bagci, Ulas, Hsiao, Albert , Leiner, Tim , Carr, James , Kim, Daniel , Shakeri, Zahra , Rahsepar, Amir Ali , Kim, Daniel , Leiner, Tim , Gowda, Vrushab , Bağcı, Ulaş

Mayo Clinic

Radiology | November 18, 2025 | Volume: 317 | Issue: 2 | Pages: No page available

10.1148/radiol.242961 | PMID 41251552 Get It

Foundation models can streamline imaging workflows, improve diagnostic accuracy, enable personalized treatment, and, via integrated generative artificial intelligence, create synthetic images to augment scarce real-world data; however, successful adoption requires explainability, trust, and workflow integration.
Highly Accelerated Real-time Cine MRI Pulse Sequence for Cardiac Implantable Electronic Devices and Arrhythmias
Bishara, Dima , Hong, KyungPyo , Davó-Jiménez, María , Collins, Jeremy D. , Topel, Çağdaş , Fan, Lexiaozi , Sarnari, Roberto, Knight, Bradley P. , Lee, Daniel , Kim, Daniel , Knight, Bradley P , Lee, Daniel C , Kim, Daniel , Collins, Jeremy

Mayo Clinic

Radiology: Cardiothoracic Imaging | November 13, 2025 | Volume: 7 | Issue: 6 | Pages: No page available

10.1148/ryct.240554 | PMID 41231128 Get It

A 32-fold accelerated real-time cine MRI sequence (radial sampling) demonstrated better temporal resolution and image quality than a 16-fold sequence (Cartesian sampling) in patients with cardiac implantable electronic devices and arrhythmias.
Abstract 4362826: Use of Stress Cardiac Magnetic Resonance to Evaluate Prognosis in Patients with Cardiac Implantable Electronic Devices
Jimenez, M. , Starrett, Lane, Topel, Çağdaş , Jaamour, Dania , Gill, Nathan , Hong, KyungPyo , Knight, Bradley P. , Knight, Bradley P , Jimenez, Maria Davo, Fan, Lexiaozi , Urban, Jacqueline Bexiga , Behnoush, Amir Hossein , Collins, Jeremy D. , Patel, Amit R. , Kim, Daniel , Lee, Daniel

Mayo Clinic

Circulation | November 3, 2025 | Volume: 152 | Issue: Suppl_3 | Pages: No page available

10.1161/circ.152.suppl_3.4362826 Get It

Background: The prevalence of cardiac implantable electronic devices (CIED) is increasing, with over 300,000 new implants annually in the U.S. Stress cardiac magnetic resonance (CMR) has proven as a powerful modality for myocardial characterization, enabling accurate diagnosis of different cardiac conditions. In patients without devices, CMR findings have also demonstrated prognostic value for major adverse cardiovascular events (MACE) and guide clinical decision-making. However, its use in CIED patients has historically been limited due to safety and image quality concerns. Hypothesis: We aimed to evaluate the prognostic value of CMR imaging using wideband sequences in CIED patients. Methods: CIED patients referred for clinical CMR were included prospectively and retrospectively between January 2020 and February 2025. All patients underwent a stress CMR protocol, which included cine, wideband late gadolinium enhancement (LGE), wideband T1 mapping, and wideband stress/rest perfusion imaging. Clinical follow-up is ongoing. The primary endpoint was the occurrence of MACE, defined as the composite of myocardial infarction, heart failure hospitalization, implantable cardioverter defibrillator (ICD) therapy, cardiac death, revascularization, or heart transplant. Results: A total of 89 patients were included (median age 69.0 [58.0–75.5] years; 62.9% male). Device types included pacemakers (33.7%), ICDs (48.3%), and cardiac resynchronization therapy devices (16.9%). Over a median of follow-up of 613 days [355-991], 21 patients experienced a MACE. In unadjusted models, higher left ventricular ejection fraction (LVEF) (per 5%) was significantly associated with a lower risk of MACE (odds ratio [OR] 0.80, 95% confidence interval [CI] 0.65–0.95; p=0.016), as was higher stress myocardial blood flow (MBF) (per 0.25 mL/g/min increase: OR 0.78, 95% CI 0.60–0.98; p=0.05). In contrast, greater LV myocardial mass (per 10 g) was significantly associated with a higher risk of MACE (OR 1.27, 95% CI 1.08–1.52; p = 0.006), figure 1. Conclusion: The use of wideband sequences enabled the assessment of prognostic imaging value in CIED patients. LVEF remains a strong and consistent predictor of MACE in this population and LV mass was significantly associated with higher rates of MACE reflecting the influence of underlying cardiomyopathy. While stress perfusion CMR imaging showed promising trends, further studies with longer follow-up are needed to clarify its prognostic value in this population.
Aortic velocity measurements derived from phase‐contrast MRI are influenced by a cardiac implantable electronic device in both adult and pediatric human subjects
Yang, Huili , Aboyewa, Oluyemi , Shah, Dhaivat , Golestanirad, Laleh , Baraboo, Justin , Markl, Michael , Knight, Bradley P. , Hong, KyungPyo , Kim, Daniel , Hong, KyungPyo , Aboyewa, Oluyemi B , Shah, Dhaivat , Golestanirad, Laleh , Baraboo, Justin J , Collins, Jeremy D. , Kim, Daniel , Knight, Bradley P , Markl, Michael , Webster, Gregory , Patel, Amit R. , Lee, Daniel

Mayo Clinic

Magnetic Resonance in Medicine | December 6, 2024 | Volume: 93 | Issue: 5 | Pages: 2099-2107

10.1002/mrm.30399 | PMID 39642044 Get It

AbstractPurposeOverall there is a lack of evidence on the accuracy and precision of phase‐contrast (PC) MRI in patients with cardiac implantable electronic devices (CIEDs). The purpose of this study is to determine whether aortic velocity measurements are influenced by a CIED.MethodsWe scanned 21 adult patients and 8 pediatric volunteers using clinical standard PC and real‐time PC (rt‐PC) sequences with and without a CIED generator taped on human subjects (below the left clavicle for adults and children; also on the abdomen for children) to mimic image artifacts. Peak and mean velocities above the aortic valve were calculated.ResultsThe Bland–Altman analyses on peak velocity measurements in pediatric subjects showed that both the accuracy and precision worsen as the distance between the CIED and aortic valve decreases (i.e., from abdomen to below the left clavicle). Specifically, both the bias and the coefficient of variation (CV) for both clinical PC and rt‐PC increased from the abdominal position (clinical: bias = −1.1%, CV = 4.3%; rt‐PC: bias = −0.3%, CV = 3.4%) to the clavicle position (clinical: bias = −4.0%, CV = 8.1%; rt‐PC: bias = 8.2%, CV = 7.3%). A similar trend was observed for mean velocity. The mean difference in peak and mean velocity measurements between rt‐PC with CIED (either position) and clinical standard PC with no CIED was within 7.5%. In adult patients, the mean difference between rt‐PC with CIED and clinical standard PC with CIED in peak velocity was 6.9%, and the CV was 7.9%.ConclusionThis study demonstrates that aortic velocity measurements are influenced by CIED in both adult and pediatric subjects.
Diverse Engraftment Capability of Neuroblastoma Cell Lines in Zebrafish Larvae
Lawrence, Josephine M., Tan, Shyang Hong , Kim, Daniel C. , Tan, Ke‐En , Schroeder, Sydney E., Schaefer, Madison A. , Sosic, Alexis M., Zhu, Shizhen , Yeo, Kok Siong

Mayo Clinic

Zebrafish | September 24, 2024 | Volume: 21 | Issue: 6 | Pages: 385-393

10.1089/zeb.2024.0160 | PMID 39316469 Get It

Liver Metastasis–Directed Ablative Radiotherapy in Pancreatic Cancer Offers Prolonged Time Off Systemic Therapy in Selected Patients
Lee, Grace , Oladeru, Oluwadamilola T. , Niemierko, Andrzej , Haddock, Michael G. , Toesca, Diego A.S. , Koong, Amanda Jeanette , Owen, Dawn , Weekes, Colin D. , Hong, Theodore S. , Chang, Daniel T. , Hallemeier, Christopher L. , Wo, Jennifer Y. , Gergelis, Kimberly R. , Oladeru, Oluwadamilola T , Kim, Daniel W. , Hallemeier, Christopher Leigh

Mayo Clinic

Pancreas | May 21, 2021 | Volume: 50 | Issue: 5 | Pages: 736-743

10.1097/mpa.0000000000001822 | PMID 34016893 Get It

Objectives We evaluated the outcomes of metastatic pancreatic cancer (MPC) patients who underwent liver metastases (LMs)–directed ablative radiotherapy (RT) and sought to characterize patients with more favorable prognosis. Methods A retrospective analysis of 76 MPC patients who underwent ablative RT (median dose, 50 Gy) to LM at 3 academic centers between 2008 and 2018 was performed. Endpoints were local control (LC), progression-free survival, and overall survival (OS) since RT. Results Median follow-up was 10.9 months. Liver metastases were metachronous in 68%. Before RT, LM was responsive/stable on chemotherapy (CTX) in 36% whereas progressive in 43%. Median carbohydrate antigen 19-9 (CA 19-9) at RT was 334 U/mL. After RT, 32% had ≥6 months of CTX break. Twelve-month outcomes were: LC, 66%; progression-free survival, 7%; and OS, 38%. On multivariable analysis, Eastern Cooperative Oncology Group 2–3 (hazard ratio [HR], 13.49; P < 0.01), progressive LM on CTX (HR, 3.26; P < 0.01), and higher CA 19-9 (log 10 scale; HR, 1.39; P < 0.01) at RT predicted worse OS. Conclusions Ablative RT to LM in setting of MPC may offer LC of systemic disease and thus quality time off CTX. Selected patients with good performance status, stable/responsive LM on CTX, and lower CA 19-9 have more favorable prognosis.
Burden of Neurological Disorders Across the US From 1990-2017
Collaborators, GBD 2017 US Neurological Disorders, Vos, Theo, Alahdab, Fares , Amit, Arianna Maever L. , Bärnighausen, Till , Beghi, Ettore , Beheshti, Mahya , Chavan, Prachi P. , Criqui, Michael H. , Desai, Rupak , Dorsey, E. Ray , Eagan, Arielle Wilder , Elgendy, Islam Y. , Giampaoli, Simona , Giussani, Giorgia , Hafezi‐Nejad, Nima , Hole, Michael K., Ikeda, Takayoshi, Johnson, Catherine O., Kalani, Rizwan, Khatab, Khaled , Khubchandani, Jagdish , Krishnamoorthy, Vijay , Krishnamurthi, Rita , Liu, Xuefeng , Lo, Warren , Logroscino, Giancarlo , Miller, Ted R. , Mokdad, Ali H. , Shivamurthy, Veeresh Kumar N. , Naghavi, Mohsen , Nichols, Emma , Norrving, Bo, Odell, Christopher M, Pupillo, Elisabetta , Radfar, Amir , Roth, Gregory A. , Shafieesabet, Azadeh , Sheikhbahaei, Sara , Shin, Jae Il , Steiner, Timothy J. , Stovner, Lars Jacob , Wallin, Mitchell T. , Weiss, Jordan , Zunt, Joseph R. , Adelson, Jaimie D., Murray, Christopher J L , Liu, Xuefeng , Steinmetz, Jaimie D , Logroscino, Giancarlo , Elgendy, Islam Y , Shin, Jae I L , Collaborators, GBD 2017 US Neurological Disorders, Feigin, Valery L. , Dharmaratne, Samath Dhamminda , Filip, Irina , Ikeda, Takayoshi, Kalani, Rizwan, Kim, Daniel , Koroshetz, Walter J. , Mensah, George A. , Mohammed, Salahuddin , Moradi‐Lakeh, Maziar , Morrison, Shane D. , Sheikh, Aziz , Singh, Jasvinder A. , Wu, Chenkai , Desai, Rupak , Alahdab, Fares

Mayo Clinic

JAMA Neurology | November 2, 2020 | Volume: 78 | Issue: 2 | Pages: 165

10.1001/jamaneurol.2020.4152 | PMID 33136137 Get It

Loci identified by a genome‐wide association study of carotid artery stenosis in the eMERGE network
Palmer, Melody R. , Kim, Daniel Seung , Crosslin, David R. , Stanaway, Ian B. , Rosenthal, Elisabeth A. , Cronkite, David , Gordon, Allan , Du, Xiaomeng, Li, Yatong K., Feng, QiPing , Li, Rongling, Håkonarson, Håkon , Fasel, David , Sohn, Sunghwan , Sleiman, Patrick , Handelman, Samuel K. , Speliotes, Elizabeth K. , Larson, Eric B. , Jarvik, Gail P. , Jarvik, Gail P , Hakonarson, Hakon , Gordon, Adam S , Feng, Qiping , Carrell, David , Williams, Marc S , Weng, Chunhua , Pendergrass, Sarah A. , Kullo, Iftikhar J.

Mayo Clinic

Genetic Epidemiology | September 23, 2020 | Volume: 45 | Issue: 1 | Pages: 4-15

10.1002/gepi.22360 | PMID 32964493 Get It

AbstractCarotid artery atherosclerotic disease (CAAD) is a risk factor for stroke. We used a genome‐wide association (GWAS) approach to discover genetic variants associated with CAAD in participants in the electronic Medical Records and Genomics (eMERGE) Network. We identified adult CAAD cases with unilateral or bilateral carotid artery stenosis and controls without evidence of stenosis from electronic health records at eight eMERGE sites. We performed GWAS with a model adjusting for age, sex, study site, and genetic principal components of ancestry. In eMERGE we found 1793 CAAD cases and 17,958 controls. Two loci reached genome‐wide significance, on chr6 in LPA (rs10455872, odds ratio [OR] (95% confidence interval [CI]) = 1.50 (1.30–1.73), p = 2.1 × 10−8) and on chr7, an intergenic single nucleotide variant (SNV; rs6952610, OR (95% CI) = 1.25 (1.16–1.36), p = 4.3 × 10−8). The chr7 association remained significant in the presence of the LPA SNV as a covariate. The LPA SNV was also associated with coronary heart disease (CHD; 4199 cases and 11,679 controls) in this study (OR (95% CI) = 1.27 (1.13–1.43), p = 5 × 10−5) but the chr7 SNV was not (OR (95% CI) = 1.03 (0.97–1.09), p = .37). Both variants replicated in UK Biobank. Elevated lipoprotein(a) concentrations ([Lp(a)]) and LPA variants associated with elevated [Lp(a)] have previously been associated with CAAD and CHD, including rs10455872. With electronic health record phenotypes in eMERGE and UKB, we replicated a previously known association and identified a novel locus associated with CAAD.
Estimating global injuries morbidity and mortality: methods and data used in the Global Burden of Disease 2017 study
James, Spencer L , Castle, Chris D, Dingels, Zachary V, Fox, Jack T, Hamilton, Erin B, Sylte, Dillon O , Bertolacci, Gregory J, Cunningham, Matthew , LeGrand, Kate E , Abdelalim, Ahmed , Abdulkader, Rizwan Suliankatchi , Abedi, Aidin , Abegaz, Kedir Hussein , Eshete, Akine , Abushouk, Abdelrahman Ibrahim , Adebayo, Oladimeji , Advani, Shailesh M, Agudelo‐Botero, Marcela , Ahmad, Tauseef , Aichour, Miloud Taki Eddine, Alahdab, Fares , Alanezi, Fahad , Alema, Niguse Meles , Wassihun, Biresaw , Ali, Beriwan Abdulqadir, Alipour, Vahid, Almasri, Nihad A. , Altirkawi, Khalid A , Amer, Yasser Sami , Andrei, Cătălina Liliana , Ansari-Moghaddam, Alireza, Antonio, Carl Abelardo T, Anvari, Davood , Appiah, Seth Christopher Yaw , Arabloo, Jalal , Arefi, Zohreh , Aremu, Olatunde , Ariani, Filippo , Arora, Amit , Quintanilla, Beatriz Paulina Ayala , Ayano, Getinet , Ayanore, Martin Amogre , Azarian, Ghasem , Badawi, Alaa, Badiye, Ashish , Baig, Atif Amin , Bairwa, Mohan , Bakhtiari, Ahad , Banerjee, Srikanta , Banik, Palash Chandra , Banstola, Amrit , Barker‐Collo, Suzanne , Bärnighausen, Till , Barzegar, Akbar , Belete, Habte , Bennett, Derrick , Berhe, Kidanemaryam , Bhagavathula, Akshaya Srikanth , Bhardwaj, Pankaj , Bhat, Anusha Ganapati , Bhattacharyya, Krittika , Bhutta, Zulfiqar A , Bibi, Sadia , Bijani, Ali , Borschmann, Rohan , Borzì, Antonio Maria , Braithwaite, Dejana , Брико, Н. И. , Brugha, Traolach , Budhathoki, Shyam Sundar , Car, Josip , Cárdenas, Rosario , Carvalho, Félix , Castaldelli-Maia, João Maurício , Castañeda-Orjuela, Carlos A , Castelpietra, Giulio , Catalá-López, Ferrán , Cerin, Ester , Chandan, Joht Singh , Chapman, Jens R. , Chattu, Vijay Kumar , Chattu, Soosanna Kumary , Chaudhary, Neha , Cho, Daniel , Choi, Jee-Young J, Chowdhury, Mohiuddin Ahsanul Kabir , Christopher, Devasahayam Jesudas , Chu, Dinh‐Toi , Costa, Vera Marisa , Dávila-Cervantes, Claudio Alberto , Leo, Diego De, Demoz, Gebre Teklemariam , Demsie, Desalegn Getnet , Deribe, Kebede , Desai, Rupak , Nasab, Mostafa Dianati, Silva, Diana Dias da , Forooshani, Zahra Sadat Dibaji, Doyle, Kerrie , Driscoll, Tim , Dubljanin, Eleonora , Adema, Bereket Duko , Eagan, Arielle Wilder , Elemineh, Demelash Abewa , El‐Khatib, Ziad , Ellingsen, Christian Lycke , Eyawo, Oghenowede , Faris, Pawan , Faro, André , Farzadfar, Farshad , Fereshtehnejad, Seyed-Mohammad , Fernandes, Eduarda , Ferrara, Pietro , Fischer, Florian , Foláyan, Morẹ́nikẹ́ Oluwátóyìn , Fomenkov, Artem Alekseevich , Francis, Joel M , Fukumoto, Takeshi , Geberemariyam, Biniyam Sahiledengle, Gebremariam, Hadush, Gebremedhin, Ketema Bizuwork , Gebremeskel, Leake , Gebremeskel, Gebreamlak Gebremedhn , Gebremichael, Berhe , Geta, Birhanu, Ghafourifard, Mansour , Ghamari, Farhad , Gheshlagh, Reza Ghanei , Gholamian, Asadollah , Gilani, Syed Amir , Gill, Tiffany K, Goulart, Alessandra C. , Grada, Ayman , Guo, Yuming , Haagsma, Juanita A. , Hall, Brian J. , Hamadeh, Randah R , Hassan, Shoaib, Hassen, Hamid Yimam , Havmoeller, Rasmus, Heydarpour, Fatemeh , Hı́jar, Martha , Ho, Hung Chak , Hoang, Chi Linh , Hole, Michael K., Hossain, Naznin , Hosseinzadeh, Mehdi , Hostiuc, Sorin , Ibitoye, Segun Emmanuel , Inbaraj, Leeberk Raja , Irvani, Seyed Sina Naghibi , Islam, M. Mofizul , Islam, Sheikh Mohammed Shariful , Ivers, Rebecca , Jahani, Mohammad Ali, Jakovljević, Mihajlo , Jayaraman, Sudha , Jha, Ravi Prakash , John-Akinola, Yetunde O. , Joseph, Nitin , Joukar, Farahnaz, Jürisson, Mikk , Kahsay, Amaha , Kalankesh, Leila R , Kalhor, Rohollah , Kamil, Teshome Abegaz, Kapoor, Neeti , Karami, Manoochehr , Kasaeian, Amir , Kassaye, Hagazi Gebremedhin, Kavetskyy, Taras , Kayode, Gbenga A , Keiyoro, Peter Njenga, Kelbore, Abraham Getachew , Khader, Yousef , Khafaie, Morteza Abdullatif , Khalid, Nauman , Khalil, Ibrahim A, Khalilov, Rovshan , Khan, Maseer , Khan, Ejaz Ahmad , Khan, Junaid , Khanna, Tripti, Khundkar, Roba , Kiirithio, Daniel N, Kim, Yun Jin , Kısa, Sezer , Kısa, Adnan , Komaki, Hamidreza , Kondlahalli, Shivakumar K M, Koolivand, Ali , Korshunov, Vladimir Andreevich , Kraemer, Moritz U. G. , Krishan, Kewal , Defo, Barthélémy Kuate , Biçer, Burcu Küçük , Kugbey, Nuworza , Kumar, Manasi , Kumar, Vivek , Kumar, Narinder , Kumaresh, Girikumar, Lami, Faris , Lasrado, Savita , Leasher, Janet L , Li, Shanshan , Liu, Xuefeng , Lyons, Ronan A , Machado, Daiane Borges , Madadin, Mohammed , Razek, Muhammed Magdy Abd El, Mahotra, Narayan Bahadur , Majdán, Marek , Majeed, Azeem , Maled, Venkatesh , Manafi, Navid , Manafi, Amir , Manda, Ana-Laura, Mansour-Ghanaei, Fariborz, Mason‐Jones, Amanda J. , Masoumi, Seyedeh Zahra , Massenburg, Benjamin B. , Maulik, Pallab K , Mehndiratta, Man Mohan, Melketsedik, Zeleke Aschalew , Memiah, Peter , Mendoza, Walter, Menezes, Ritesh G. , Mengesha, Melkamu Merid , Meretoja, Tuomo J , Meretoja, Atte , Merie, Hayimro Edemealem , Miazgowski, Bartosz , Miazgowski, Tomasz , Miller, Ted R. , Mini, GK , Мirrakhimov, Erkin М , Mithra, Prasanna , Moghadaszadeh, Masoud, Mohammad, Yousef , Mohammadian-Hafshejani, Abdollah , Mohammed, Shafiu , Mohammed, Jemal , Bandpei, Mohammad Ali Mohseni, Molokhia, Mariam , Monasta, Lorenzo , Moodley, Yoshan , Moradi, Masoud , Moradi, Ghobad , Morawska, Lídia , Velásquez, Ilais Moreno , Mossie, Tilahun Belete , Musa, Kamarul Imran , Mustafa, Ghulam , Naderi, Mehdi , Nagarajan, Ahamarshan Jayaraman , Naik, Gurudatta , Naimzada, Mukhammad David , Nangia, Vinay, Nascimento, Bruno Ramos , Naserbakht, Morteza , Ndwandwe, Duduzile , Negoi, Ionuţ , Ngunjiri, Josephine W, Nguyen, Cuong Tat , Nguyen, Diep Ngoc , Nikbakhsh, Rajan , Ningrum, Dina Nur Anggraini , Nnaji, Chukwudi A , Ofori‐Asenso, Richard , Ogbo, Felix Akpojene , Oghenetega, Onome Bright , Olagunju, Andrew T , Olagunju, Tinuke O , Bali, Ahmed Omar , Onwujekwe, Obinna , Orpana, Heather , Otstavnov, Nikita , Otstavnov, Stanislav S , Mahesh, P A , Padubidri, Jagadish Rao , Pakhalé, Smita , Pakshir, Keyvan , Panda‐Jonas, Songhomitra, Park, Eun‐Kee , Patel, Sangram Kishor , Pathak, Ashish , Pati, Sanghamitra , Paulos, Kebreab , Pepito, Veincent Christian Filipino , Полибин, Р. В. , Polinder, Suzanne, Pourmalek, Farshad , Pourshams, Akram , Poustchi, Hossein, Prakash, Swayam , Pribadi, Dimas Ria Angga , Puri, Parul , Syed, Zahiruddin Quazi, Rabiee, Navid , Radfar, Amir , Rafay, Anwar, Rafiee, Ata , Rafiei, Alireza , Rahim, Fakher , Rahman, Muhammad Aziz , Rajabpour-Sanati, Ali, Rajati, Fatemeh , Rakovac, Ivo , Rao, Sowmya J, Rashedi, Vahid , Rawal, Lal , Rawassizadeh, Reza , Renjith, Vishnu , Resnikoff, Serge , Rezapour, Aziz, Rickard, Jennifer , Saddik, Basema , Safdarian, Mahdi , Sajadi, S. Mohammad , Salamati, Payman, Salem, Marwa Rashad , Salem, Hosni , Salz, Inbal, Samy, Abdallah M , Sanabria, Juan , Sànchez-Riera, Lídia , Sarveazad, Arash , Sathian, Brijesh , Sawhney, Monika, Schwebel, David C. , Seedat, Soraya , Senthilkumaran, Subramanian , Seyedmousavi, Seyedmojtaba , Sha, Feng , Shaahmadi, Faramarz , Shaikh, Masood Ali , Shams-Beyranvand, Mehran , Shigematsu, Mika, Shin, Jae Il , Shiri, Rahman , Sigfúsdóttir, Inga Dóra, Singh, Pankaj Kumar , Sinha, Dhirendra Narain , Soriano, Joan B. , Soyiri, Ireneous N , Sufiyan, Mu’awiyyah Babale , Sykes, Bryan L. , Tabarés‐Seisdedos, Rafael , Tabb, Karen M. , Wogayehu, Biruk , Tefera, Yibekal Manaye , Tekulu, Gebretsadkan Hintsa , Kassie, Ayenew , Титова, М. В. , Tlaye, Kenean Getaneh , Tohidinik, Hamid Reza , Topór-Mądry, Roman , Tripathy, Jaya Prasad , Tsai, Alexander C. , Tsatsakis, Aristidis , Car, Lorainne Tudor , Ullah, Irfan , Ullah, Saif , Upadhyay, Era , Valdéz, Pascual , Violante, Francesco Saverio , Waheed, Yasir , Wang, Yuan‐Pang , Wiangkham, Taweewat , Wolde, Haileab Fekadu , Woldeyes, Dawit Habte , Wu, Ai-Min, Wyper, Grant M. 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Mayo Clinic

Injury Prevention | August 24, 2020 | Volume: 26 | Issue: Suppl 2 | Pages: i125-i153

10.1136/injuryprev-2019-043531 | PMID 32839249 Get It

Background While there is a long history of measuring death and disability from injuries, modern research methods must account for the wide spectrum of disability that can occur in an injury, and must provide estimates with sufficient demographic, geographical and temporal detail to be useful for policy makers. The Global Burden of Disease (GBD) 2017 study used methods to provide highly detailed estimates of global injury burden that meet these criteria. Methods In this study, we report and discuss the methods used in GBD 2017 for injury morbidity and mortality burden estimation. In summary, these methods included estimating cause-specific mortality for every cause of injury, and then estimating incidence for every cause of injury. Non-fatal disability for each cause is then calculated based on the probabilities of suffering from different types of bodily injury experienced. Results GBD 2017 produced morbidity and mortality estimates for 38 causes of injury. Estimates were produced in terms of incidence, prevalence, years lived with disability, cause-specific mortality, years of life lost and disability-adjusted life-years for a 28-year period for 22 age groups, 195 countries and both sexes. Conclusions GBD 2017 demonstrated a complex and sophisticated series of analytical steps using the largest known database of morbidity and mortality data on injuries. GBD 2017 results should be used to help inform injury prevention policy making and resource allocation. We also identify important avenues for improving injury burden estimation in the future.