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14 citation(s) found for "Wang, Yuan".

Imprinted Binary Colloidal Crystals Support Growth and Stemness of Mouse Embryonic Stem Cells
Babaie, Ali , Wang, Peng‐Yuan , Abedi, Ali , Uddin, Md Hemayet , Joseph, Shanthi, Sümer, Hüseyin , Uddin, Hemayet , Thissen, Helmut , Kingshott, Peter , Abedi, Ali

Mayo Clinic

ACS Biomaterials Science & Engineering | December 8, 2025 | Volume: 12 | Issue: 4 | Pages: 2156-2172

10.1021/acsbiomaterials.5c01187 | PMID 41358614 Get It

GLIM consensus approach to diagnosis of malnutrition: A 5‐year update
Jensen, Gordon L. , Cederholm, Tommy , Correia, María Isabel Toulson Davisson , González, Marı́a Cristina , Fukushima, Ryoji , Pisprasert, Veeradej , Cárdenas, Diana , Carrasco, Fernando , Cruz‐Jentoft, Alfonso J. , Cuerda, Cristina , Evans, David C. , Hasse, Jeanette M. , Hiki, Naoki, Jahit, Mohammad Shukri , Jáquez, Anayanet , Muscaritoli, Maurizio , Ng, Doris Hui Lan , Nyulasi, Ibolya , Pirlich, Matthias , Siltharm, S., Yu, Jianchun , Gossum, A. Van , Winkler, Marion F. , Compher, Charlene , Barazzoni, Rocco , Gautier, Juan B Ochoa , Gonzalez, M Cristina , Blaauw, Renee , Braz, Diana Cardenas , Carrasco, Fernando , Evans, David C , Fuchs-Tarlovsky, Vanessa , Gramlich, Leah , Hasse, Jeanette M , Hiesmayr, Michael , Jager-Wittenaar, Harriët , Jahit, Shukri , Jáquez, Anayanet , Keller, Heather , Malone, Ainsley , Mogensen, Kris M , Mundi, Manpreet S , Muscaritoli, Maurizio , Ng, Doris , Nyulasi, Ibolya , Schneider, Stephane , de van der Schueren, Marian , Singer, Pierre , Tappenden, Kelly A , Yu, Jianchun , Wang, Jaw-Yuan , Winkler, Marion F , Compher, Charlene , Gramlich, Leah , Shi, Han Ping , Kłęk, Stanisław , Malone, Ainsley , Mogensen, Kris M. , Mori, Naoharu , Mundi, Manpreet S. , Steiber, Alison

Mayo Clinic

Journal of Parenteral and Enteral Nutrition | April 14, 2025 | Volume: 49 | Issue: 4 | Pages: 414-427

10.1002/jpen.2756 | PMID 40223699 Get It

Abstract Background The Global Leadership Initiative on Malnutrition (GLIM) introduced an approach for malnutrition diagnosis in 2019 that comprised screening followed by assessment of three phenotypic criteria (weight loss, low body mass index [BMI], and low muscle mass) and two etiologic criteria (reduced food intake/assimilation and inflammation/disease burden). This planned update reconsiders the GLIM framework based on published knowledge and experience over the past 5 years. Methods A working group ( n = 43 members) conducted a literature search spanning 2019–2024 using the keywords “Global Leadership Initiative on Malnutrition or GLIM.” Prior GLIM guidance activities for using the criteria on muscle mass and inflammation were reviewed. Successive rounds of revision and review were used to achieve consensus. Results More than 400 scientific reports were published in peer‐reviewed journals, forming the basis of 10 systematic reviews, some including meta‐analyses of GLIM validity that indicate strong construct and predictive validity. Limitations and future priorities are discussed. Working group findings suggest that assessment of low muscle mass should be guided by experience and available technological resources. Clinical judgment may suffice to evaluate the inflammation/disease burden etiologic criterion. No revisions of the weight loss, low BMI, or reduced food intake/assimilation criteria are suggested. After two rounds of review and revision, the working group secured 100% agreement with the conclusions reported in the 5‐year update. Conclusion Ongoing initiatives target priorities that include malnutrition risk screening procedures, GLIM adaptation to the intensive care setting, assessment in support of the reduced food intake/assimilation criterion, and determination of malnutrition in obesity.
Durability of Complete Responses in Patients from the ECHELON-3 Study
Yasenchak, Christopher A. , Portell, Craig A. , Forsyth, Cecily , Kwak, Jae-Yong, Ghesquières, Hervé , Nowakowski, Grzegorz S. , Patterson, Monica, Ho, Linda , Rustia, Evelyn, Fanale, Michelle A. , Fenton, Keenan , Portell, Craig A , Bartlett, Nancy L. , Kim, Jeong‐Ah , Hahn, Uwe, Zaja, Francesco , Zenz, Thorsten , Kim, Jin Seok , Cho, Seok‐Goo , Kwak, Jae‐Yong , Wang, Hao‐Yuan , Stenner, Frank

Mayo Clinic

Blood | December 6, 2024 | Volume: 144 | Issue: Supplement 1 | Pages: 3101-3101

10.1182/blood-2024-194158 Get It

Introduction Relapsed/refractory (R/R) diffuse large B-cell lymphoma (DLBCL) is very aggressive, with a historically low complete response (CR) rate (Blood. 2017; 130[16]:1800-1808). Recent research has focused on achieving complete and durable responses in this population, which translate to improvements in overall survival (OS) and progression-free survival (PFS). Results from the randomized, global, phase 3 ECHELON-3 study (NCT04404283) demonstrated a statistically significant and clinically meaningful improvement in OS, PFS, and objective response rate with brentuximab vedotin (BV) combined with lenalidomide (Len) and rituximab (R; BV+Len+R) vs placebo+Len+R in patients (pts) with R/R DLBCL after ≥2 prior systemic therapies. Here, we present subgroup analyses in pts with a best overall response (BOR) of CR (n=67). Methods Pts in the study were randomized (1:1) to receive BV (1.2 mg/kg) or placebo every 3 weeks, in combination with R (375 mg/m2) and Len (20 mg) once daily. In these subgroup analyses, eligible pts had a BOR of CR and some ended study treatment and received any subsequent anticancer therapy. BOR was assessed by investigators according to the Lugano 2014 classification. Duration of response was defined as the time from the start of the first documented CR to the first documented tumor progression per Lugano 2014 or death. Pts who initiated a subsequent nonpalliative anticancer therapy were censored at the most recent prior response assessment. Subsequent nonpalliative anticancer therapies were defined as any systemic therapy received after the end of study treatment. P values are descriptive. Results Of the 112 pts in the BV+Len+R group, 45 (40.2%) had a BOR of CR. Of the 118 pts in the placebo+Len+R group, 22 (18.6%) had a BOR of CR. The median duration of CR was 18.9 months (95% CI, 11.1 months-not estimable [NE]) with BV+Len+R vs not reached (NR) with placebo+Len+R (hazard ratio [HR], 0.527; 95% CI, 0.200-1.389; P=.1891). The median time to CR was 1.58 months (range, 1.2-7.3 months) with BV+Len+R and 1.61 months (range, 0.7-4.6 months) with placebo+Len+R. With a median follow-up of 14.3 months, the median OS in pts with a BOR of CR was 31.5 months (95% CI, 20.3 months-NE) in the BV+Len+R group vs NR in the placebo+Len+R group (HR, 1.044; 95% CI, 0.331-3.298; P=.9407). Median PFS in pts with a BOR of CR was 21.5 months (95% CI, 12.6 months-NE) in the BV+Len+R group vs NR (95% CI, 5.4 months-NE) in the placebo+Len+R group (HR, 0.6333; 95% CI, 0.256-1.567; P=.3198). Results of NR in the placebo+Len+R group are likely attributable to limited follow-up and small sample size. Additional data on baseline characteristics of pts who had CR will be presented. Of the 45 pts with CR in the BV+Len+R group, 42 (93.3%) received no subsequent anticancer therapy. Of the 22 pts with CR in the placebo+Len+R group, 17 (77.3%) received no subsequent anticancer therapy. Conclusions BV doubled the CR rate in pts with R/R DLBCL compared with placebo, and outcomes in pts with CR were durable, with only 6.7% of pts treated with BV+Len+R receiving subsequent systemic anticancer therapy, compared with 22.7% of pts treated with placebo+Len+R receiving subsequent therapy. Overall, BV+Len+R demonstrated a survival benefit in the ECHELON-3 study and is a promising option to achieve complete and durable responses in third- or later-line therapy for pts with R/R DLBCL.
Proceedings of the Conference “CMV Vaccine Development—How Close Are We?” (27–28 September 2023)
Schleiss, Mark R. , Crooks, Chelsea M. , Karthigeyan, Krithika P. , Kruc, Rebecca M., Wang, Hsuan-Yuan , Permar, Sallie R. , Gautam, Rajeev , Permar, Sallie R , Gautam, Rajeev , Otero, Claire E. , Plotkin, Stanley A.

Mayo Clinic

Vaccines | October 29, 2024 | Volume: 12 | Issue: 11 | Pages: 1231

10.3390/vaccines12111231 | PMID 39591134 Get It

Congenital cytomegalovirus (cCMV) is the most common infectious cause of disability in children, including sensorineural hearing loss. There is interest in developing a pre-conception vaccine that could confer protective immunity on a woman of child-bearing age, hence resulting in a reduced cCMV disease burden. Other populations, including solid organ transplant (SOT) and hematopoietic stem cell transplant (HSCT) patients, could also benefit from CMV vaccination. To review and discuss vaccines that are in clinical development, a workshop, sponsored by the National Institutes of Health (NIH) and the National Institute of Allergy and Infectious Diseases (NIAID), was empaneled. At this workshop, correlates of protective immunity against CMV, epidemiologic features of CMV transmission, and vaccine platforms in development were reviewed. Representatives from academia, pharma, and the NIH engaged in discussion on the current state-of-the-art in CMV vaccinology. A summary of the presentations from this is provided in this report.
Consensus‐based recommendations for the diagnosis and treatment of anxiety and depression in children and adolescents with epilepsy: A report from the Psychiatric Pediatric Issues Task Force of the International League Against Epilepsy
Valente, Kette D. , Reilly, Colin , Carvalho, Rachel Marin, Smith, Mary Lou , Mula, Marco , Wirrell, Elaine , Wilmshurst, Jo M. , Jetté, Nathalie , Brigo, Francesco , Kariuki, Symon M. , Fong, Choong Yi , Wang, Yuan‐Pang , Castanho, Viviane Carrion , Kerr, Mike, Wirrell, Elaine C , Auvin, Stéphane , Wilmshurst, Jo M , Valente, Kette , Jette, Nathalie , Polanczyk, Guilherme V. , Demarchi, Izabel Galhardo , Auvin, Stéphane

Mayo Clinic

Epilepsia | September 25, 2024 | Volume: 65 | Issue: 11 | Pages: 3155-3185

10.1111/epi.18116 | PMID 39320421 Get It

AbstractThe Psychiatric Pediatric Issues Task Force of the International League Against Epilepsy (ILAE) aimed to develop recommendations for the diagnosis and treatment of anxiety and depression in children and adolescents with epilepsy. The Task Force conducted a systematic review and identified two studies that assessed the accuracy of four screening measures for depression and anxiety symptoms compared with a psychiatric interview. Nine studies met the eligibility criteria for treatment of anxiety and depressive disorders or symptoms. The risk of bias and certainty of evidence were assessed. The evidence generated by this review followed by consensus where evidence was missing generated 47 recommendations. Those with a high level of agreement (≥80%) are summarized. Diagnosis: (1) Universal screening for anxiety and depression is recommended. Closer surveillance is recommended for children after 12 years, at higher risk (e.g., suicide‐related behavior), with subthreshold symptoms, and experiencing seizure worsening or therapeutic modifications. (2) Multiple sources of ascertainment and a formal screening are recommended. Clinical interviews are recommended whenever possible. The healthcare provider must always explain that symptom recognition is essential to optimize treatment outcomes and reduce morbidity. (3) Questioning about the relationship between symptoms of anxiety or depression with seizure worsening/control and behavioral adverse effects of antiseizure medications is recommended. Treatment: (1) An individualized treatment plan is recommended. (2) For mild depression, active monitoring must be considered. (3) Referral to a mental health care provider must be considered for moderate to severe depression and anxiety. (4) Clinical care pathways must be developed. (5) Psychosocial interventions must be tailored and age‐appropriate. (6) Healthcare providers must monitor children with epilepsy who are prescribed antidepressants, considering symptoms and functioning that may not improve simultaneously. (7) Caregiver education is essential to ensure treatment adherence. (8) A shared‐care model involving all healthcare providers is recommended for children and adolescents with epilepsy and mental health disorders. We identified clinical decisions in the management of depression and anxiety that lack solid evidence and provide consensus‐based guidance to address the care of children and adolescents with epilepsy.
Cryo-EM structure of the Mon1–Ccz1–RMC1 complex reveals molecular basis of metazoan RAB7A activation
Yong, Xin, Jia, Guowen , Liu, Zhe , Zhou, Chunzhuang, Yi, Jiamin, Tang, Yingying , Chen, Li , Wang, Yuan , Sun, Qingxiang , Billadeau, Daniel D. , Su, Zhaoming , Sun, Qingxiang , Billadeau, Daniel D , Su, Zhaoming , Jia, Da , Yong, Xin, Yi, Jiamin, Chen, Lu , Jia, Da

Mayo Clinic

Proceedings of the National Academy of Sciences | May 22, 2023 | Volume: 120 | Issue: 22 | Pages: No page available

10.1073/pnas.2301725120 | PMID 37216550 Get It

Understanding of the evolution of metazoans from their unicellular ancestors is a fundamental question in biology. In contrast to fungi which utilize the Mon1–Ccz1 dimeric complex to activate the small GTPase RAB7A, metazoans rely on the Mon1–Ccz1–RMC1 trimeric complex. Here, we report a near-atomic resolution cryogenic-electron microscopy structure of the Drosophila Mon1–Ccz1–RMC1 complex. RMC1 acts as a scaffolding subunit and binds to both Mon1 and Ccz1 on the surface opposite to the RAB7A-binding site, with many of the RMC1-contacting residues from Mon1 and Ccz1 unique to metazoans, explaining the binding specificity. Significantly, the assembly of RMC1 with Mon1–Ccz1 is required for cellular RAB7A activation, autophagic functions and organismal development in zebrafish. Our studies offer a molecular explanation for the different degree of subunit conservation across species, and provide an excellent example of how metazoan-specific proteins take over existing functions in unicellular organisms.
Radon descriptor-based machine learning using CT images to predict the fat tissue on left atrium in the heart
Deepa, Deepa, Singh, Yashbir , Hu, Wei-Chih, Wang, Ming Chen, Hu, Weichih , Singh, Yashbir

Mayo Clinic

Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine | July 6, 2022 | Volume: 236 | Issue: 8 | Pages: 1232-1237

10.1177/09544119221110657 | PMID 35791086 Get It

Heart disease has a higher fatality rate than any other disease. Increased Atrial fat on the left atrium has been discovered to cause Atrial Fibrillation (AF) in most patients. AF can put one’s life at risk and eventually lead to death. AF might worsen over time; therefore, it is crucial to have an early diagnosis and treatment. To evaluate the left atrium fat tissue pattern using Radon descriptor-based machine learning. This study developed a bridge between the Radon transform framework and machine learning to distinguish two distinct patterns. Motivated by a Radon descriptor-based machine learning approach, the patches of eight patients from CT images of the heart were used and categorized into “epicardial fat tissue” and “nonfat tissue” groups. The 10 feature vectors are extracted from each big patch using Radon descriptors and then fed into a traditional machine learning model. The results show that the proposed methodology discriminates between fat tissues and nonfat tissues clearly. KNN has shown the best performance with 96.77% specificity, 98.28% sensitivity, and 97.50% accuracy. To our knowledge, this study is the first attempt to provide a Radon transform-based machine learning method to distinguish between fat tissue and nonfat tissue on the left atrium. Our proposed research method could be potentially used in advanced interventions.
PBX1-SIRT1 positive feedback loop attenuates ROS-mediated HF- MSC senescence and apoptosis
Wang, Yuan , Sui, Yutong , Niu, Ye, Liu, Dan , Xu, Qi , Liu, Feilin , Zuo, Kuiyang , Liu, mingsheng, Sun, Wei , Liu, Zinan , Zou, Fei , Shi, Jiahong , Liu, Xiao mei, Liu, Jinyu , Zuo, Kuiyang , Wang, Ziyu

Mayo Clinic

No container title available | April 15, 2022 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.21203/rs.3.rs-1545647/v1 Get It

Abstract Background: Stem cell senescence and depletion are major causes of organismal aging and aging-related diseases. The NAD–SIRT1–PARP1 axis has garnered remarkable interest owing to its significant role in regulating stem cell senescence and organismal aging. Event though our recent study showes that PBX1 overexpression attenuates hair follicle-derived mesenchymal stem cell (HF-MSC) senescence and apoptosis by regulating ROS-mediated DNA damage via downregulation of PARP1 expression, suggesting PARP1 downregulation is a common manifestation of the roles of both PBX1 and SIRT1 in the attenuation of HF-MSC senescence, and implying a potential link between PBX1 and SIRT1 via PARP1. Methods: HF-MSCs overexpressing PBX1, overexpressing both PBX1 and PARP1, downregulating SIRT1, and overexpressing PBX1 and downregulating SIRT1 were generated, and biomarkers related to cell senescence, apoptosis, DNA damage, and repair were detected at the cellular and protein levels. Results: (1) PBX1 overexpression alleviated HF-MSC senescence and apoptosis accompanied by upregulation of SIRT1 expression, downregulation of PARP1 expression, and increased intracellular NAD and ATP levels. (2) SIRT1 knockdown or PARP1 overexpression enhanced cellular senescence and apoptosis, accompanied by increased ROS accumulation and DNA damage aggravation and decreased intracellular NAD and ATP levels. (3) PBX1 overexpression rescued HF-MSC senescence and apoptosis induced by SIRT1 knockdown or PARP1 overexpression. (4) Dual luciferase reporter showed PBX1 enhanced SIRT1 expression by activating SIRT1 promoter. Conclusions: Our results reveal that a positive interaction feedback loop exists between PBX1 and SIRT1, that PBX1 is the upstream of SIRT1. To the best of our knowledge we are the first to report that there is a PBX1-SIRT1-PARP1 axis and this axis plays a critical role in alleviation of HF-MSC senescence and apoptosis. The results provide a new perspective on the mechanism of stem cell senescence and age-related disease prevention and treatment.
Atezolizumab prolongs overall survival over docetaxel in advanced non-small-cell lung cancer patients harboring STK11 or KEAP1 mutation
Nie, Wei , Gan, Lu , Wang, Xin , Gu, Kai , Qian, Fang-Fei, Hu, Min-Juan, Chen, Shi-Qing, Lü, Jun , Cao, Shu-Hui, Li, Jing-Wen, Zhang, Bo , Wang, Shu-Yuan, Li, Chang-Hui, Xu, Midie , Zhang, Xue-Yan, Zhong, Hua , Han, Bao-Hui , Gu, Kai, Zhang, Ding , Wang, Yue , Yang, Ping

Mayo Clinic

OncoImmunology | January 15, 2021 | Volume: 10 | Issue: 1 | Pages: No page available

10.1080/2162402x.2020.1865670 | PMID 33537171 Get It

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.