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392 citation(s) found for "Gutierrez, L".

Risk of Early Versus Later Rebleeding From Dural Arteriovenous Fistulas With Cortical Venous Drainage
Durnford, Andrew , Akarca, Danyal , Culliford, David , Millar, John S. , Guniganti, Ridhima , Giordan, Enrico , Brinjikji, Waleed , Chen, Ching‐Jen , Abecassis, Isaac Josh , Levitt, Michael R. , Polifka, Adam , Derdeyn, Colin P. , Kwasnicki, Amanda , Alaraj, Ali , Potgieser, Adriaan R. E., Tada, Yoshiteru , Abla, Adib A. , Satomi, Junichiro, Starke, Robert M., Dijk, J. Marc C. van , Amin‐Hanjani, Sepideh , Hayakawa, M. , Gross, Bradley A. , Kim, Louis J. , Sheehan, Jason P. , Kansagra, Akash P. , Lai, Rosalind, Zipfel, Gregory J. , Bulters, Diederik , Piccirillo, Jay F. , Vine, Roanna , Cloft, Harry J. , Kallmes, David F. , Pollock, Bruce E. , Link, Michael J. , Patibandla, Mohana Rao, Ding, Dale , Buell, Thomas J. , Paisan, Gabriella, Meyer, R. Michael, Kelly, Cory , Duffill, Jonathan, Ditchfield, Adam, Macdonald, Jason, Laurent, Dimitri , Lockerman, Ashley, Lunsford, L. Dade , Jankowitz, Brian T. , Guerrero, Waldo R. , McGruder, Allen, Charbel, Fady T. , Aletich, Victor , Rose‐Finnell, Linda, Peterson, Eric C. , Yavagal, Dileep R. , Sur, Samir , Kanematsu, Yasuhisa , Kinouchi, T. , Korai, Masaaki , Yamaguchi, Izumi , Yamamoto, Yuki , Winkler, Ethan A. , Lawton, Michael T. , Rutkowski, Martin J. , Sultan, M. Ali Aziz, Patel, Nirav , Frerichs, Kai U., Levitt, Michael R , Polifka, Adam J , Samaniego, Edgar A , Alaraj, Ali , Tada, Yoshiteru , Phelps, Ryan , Abla, Adib , van DijK, J Marc C , Amin-Hanjani, Sepideh , Gross, Bradley , Fox, W Christopher , Kim, Louis J. , Sheehan, Jason , Lanzino, Giuseppe , Kansagra, Akash P , Du, Rose , Lai, Rosalind , Zipfel, Gregory J , Bulters, Diederik O , Ding, Dale , Chen, Ching-Jen , Derdeyn, Colin P , Abecassis, Isaac Josh , Millar, John, Chen, Stephanie , Lanzino, Giuseppe , Raman, Hari S. , Lipsey, Kim L. , Hoh, Brian L. , Smith, Jessica , Ortega-Gutierrez, Santiago , Hasan, David , Roa, Jorge A. , Rossen, James D. , Yamamoto, Nobuaki

Stroke | April 14, 2022 | Volume: 53 | Issue: 7 | Pages: 2340-2345

10.1161/strokeaha.121.036450 | PMID 35420453 Get It

Background: Cranial dural arteriovenous fistulas with cortical venous drainage are rare lesions that can present with hemorrhage. A high rate of rebleeding in the early period following hemorrhage has been reported, but published long-term rates are much lower. No study has examined how risk of rebleeding changes over time. Our objective was to quantify the relative incidence of rebleeding in the early and later periods following hemorrhage. Methods: Patients with dural arteriovenous fistula and cortical venous drainage presenting with hemorrhage were identified from the multinational CONDOR (Consortium for Dural Fistula Outcomes Research) database. Natural history follow-up was defined as time from hemorrhage to first treatment, rebleed, or last follow-up. Rebleeding in the first 2 weeks and first year were compared using incidence rate ratio and difference. Results: Of 1077 patients, 250 met the inclusion criteria and had 95 cumulative person-years natural history follow-up. The overall annualized rebleed rate was 7.3% (95% CI, 3.2–14.5). The incidence rate of rebleeding in the first 2 weeks was 0.0011 per person-day; an early rebleed risk of 1.6% in the first 14 days (95% CI, 0.3–5.1). For the remainder of the first year, the incidence rate was 0.00015 per person-day; a rebleed rate of 5.3% (CI, 1.7–12.4) over 1 year. The incidence rate ratio was 7.3 (95% CI, 1.4–37.7; P , 0.026). Conclusions: The risk of rebleeding of a dural arteriovenous fistula with cortical venous drainage presenting with hemorrhage is increased in the first 2 weeks justifying early treatment. However, the magnitude of this increase may be considerably lower than previously thought. Treatment within 5 days was associated with a low rate of rebleeding and appears an appropriate timeframe.
Inequities in Therapy for Infantile Spasms: A Call to Action
Baumer, Fiona M. , Mytinger, John R. , Neville, Kerri, Abath, Christina Briscoe , Gutierrez, Camilo , Numis, Adam L. , Harini, Chellamani , He, Zihuai , Berg, Anne T. , Chu, Catherine J. , Gaillard, William D. , Pasupuleti, Archana, Samanta, Debopam , Singh, Rani K. , Singhal, Nilika S. , Wusthoff, Courtney J. , Yozawitz, Elissa , Shellhaas, Renée A. , Berg, Anne T , Chu, Catherine J , Baumer, Fiona M , Shellhaas, Renée A , Gaillard, William D , Yozawitz, Elissa G , Abath, Christina Briscoe , Wusthoff, Courtney J , Hussain, Shaun A. , Loddenkemper, Tobias , Wirrell, Elaine , Knupp, Kelly G. , Grinspan, Zachary M.

Annals of Neurology | April 7, 2022 | Volume: 92 | Issue: 1 | Pages: 32-44

10.1002/ana.26363 | PMID 35388521 Get It

ObjectiveThe aim of this study was to determine whether selection of treatment for children with infantile spasms (IS) varies by race/ethnicity.MethodsThe prospective US National Infantile Spasms Consortium database includes children with IS treated from 2012 to 2018. We examined the relationship between race/ethnicity and receipt of standard IS therapy (prednisolone, adrenocorticotropic hormone, vigabatrin), adjusting for demographic and clinical variables using logistic regression. Our primary outcome was treatment course, which considered therapy prescribed for the first and, when needed, the second IS treatment together.ResultsOf 555 children, 324 (58%) were non‐Hispanic white, 55 (10%) non‐Hispanic Black, 24 (4%) non‐Hispanic Asian, 80 (14%) Hispanic, and 72 (13%) other/unknown. Most (398, 72%) received a standard treatment course. Insurance type, geographic location, history of prematurity, prior seizures, developmental delay or regression, abnormal head circumference, hypsarrhythmia, and IS etiologies were associated with standard therapy. In adjusted models, non‐Hispanic Black children had lower odds of receiving a standard treatment course compared with non‐Hispanic white children (odds ratio [OR], 0.42; 95% confidence interval [CI], 0.20–0.89; p = 0.02). Adjusted models also showed that children with public (vs. private) insurance had lower odds of receiving standard therapy for treatment 1 (OR, 0.42; CI, 0.21–0.84; p = 0.01).InterpretationNon‐Hispanic Black children were more often treated with non‐standard IS therapies than non‐Hispanic white children. Likewise, children with public (vs. private) insurance were less likely to receive standard therapies. Investigating drivers of inequities, and understanding the impact of racism on treatment decisions, are critical next steps to improve care for patients with IS. ANN NEUROL 2022;92:32–44
Trends of Sources of Clinical Research Funding from 1990 to 2020: A Meta-Epidemiological Study
Burciaga-Jimenez, Erick, Solís, Ricardo César , Sáenz-Flores, Melissa , Zuñiga-Hernández, Jorge A , Zambrano-Lucio, Miguel , Rodríguez‐Gutiérrez, René , Zuñiga-Hernandez, Jorge Alberto , Solis-Pacheco, Ricardo Cesar

Journal of Investigative Medicine | March 15, 2022 | Volume: 70 | Issue: 5 | Pages: 1320-1324

10.1136/jim-2021-002044 | PMID 35292507 Get It

Evidence has raised concerns regarding the association between funding sources and doubtful data. Our main outcome was to analyze trends on funding sources in articles published from 1990 to 2020 in the more influential journals of internal and general medicine. In this meta-epidemiological study, we included peer-reviewed studies from the 10 highest impact journals in general and internal medicine published between January 1990 and February 2020 based on published original research according to the 2018 InCites Journal of Citation Reports, these consisted of the following: The New England Journal of Medicine, The Lancet, JAMA, BMJ, JAMA Internal Medicine, Annals of Internal Medicine, PLOS Medicine, Cachexia, BMC Medicine, and Mayo Clinic Proceedings. Two reviewers working in duplicate extracted data regarding year of publication, study design, and sources of funding. In total, 496 articles were found; of these, 311 (62.7%) were observational studies, 167 (33.7%) were experimental, and 16 (3.2%) were secondary analyses. Percentages of grant sources through the years were predominantly from government (60%), industry (23.83%), and non-governmental (16.06%) organizations. The percentage of industry subsidies tended to decrease, but this was not significant in a linear regression model (r=0.02, p≥0.05). Government and non-government funding sources showed a trend to decrease in the same univariate analysis with both significant associations (r=0.21, p ≤0.001 and r=0.10, p≤0.001, respectively). The main funding source in medical research has consistently been government aid. Despite previous reported data, no association was found between the source of funding and statistically significant results favoring study authors’ hypothesis.
Abstract GS4-07: The Breast PreCancer Atlas DCIS genomic signatures define biology and correlate with clinical outcomes: An analysis of TBCRC 038 and RAHBT cohorts
King, Lorraine , Simpson, Lunden , Khan, Aziz , Harmon, Bryan, Gallagher, Kristalyn K. , Kilgore, Mark , Wei, Shi, King, Tari A. , McAuliffe, Priscilla F. , Nangia, Julie R. , Lee, Joanna , Storniolo, Anna Maria , Thompson, Alastair M. , Burns, Robyn, Veis, Deborah J. , DeSchryver, Katherine, Matusiak, Magdalena , Wang, Jason, Tappenden, Jen, Ding, Daisy Yi , Zhang, Dadong , Jiang, Shu , Straub, Cody, Srivastava, Sucheta, Tibshirani, Rob , Angelo, Robert Michael, Owzar, Kouros , Polyak, Kornelia, Hwang, E. Shelley, Strand, Siri H. , Rivero‐Gutiérrez, Belén , Houlahan, Kathleen E. , Seoane, José Antonio , Risom, Tyler , Vennam, Sujay , Hardman, Timothy, Couch, Fergus J. , DeMichele, Angela , Tseng, Jennifer F. , Gupta, Gaorav P , Zhu, Chunfang , Zhu, Shirley , Luo, Jingqin , Varma, Sushama , Curtis, Christina , Angelo, Robert Michael, Hall, Allison , Polyák, Kornélia , Maley, Carlo C. , Marks, Jeffrey R. , Colditz, Graham A. , West, Robert B.

Cancer Research | March 8, 2022 | Volume: 82 | Issue: 4_Supplement | Pages: GS4-07-GS4-07

10.1158/1538-7445.sabcs21-gs4-07 Get It

Abstract Background. DCIS consists of a molecularly heterogeneous group of premalignant lesions, with variable risk of invasive progression. Understanding biomarkers for invasive progression could help individualize treatment recommendations based upon tumor biology. As part of the NCI Human Tumor Atlas Network (HTAN), we conducted comprehensive genomic analyses on two large DCIS case-control cohorts. Methods. We performed smart3-seq and low-pass whole genome sequencing on two independent, retrospective, longitudinally sampled DCIS case-control cohorts. TBCRC 038 was a multicenter cohort diagnosed with DCIS between 1998 and 2016 at one of the Translational Breast Cancer Research sites; the RAHBT (Resource of Archival Human Breast Tissue) cohort included women identified through the St. Louis Breast Tissue Repository, and the Women’s Health Repository diagnosed between 1997 and 2001. We studied the spectrum of molecular changes present and sought genomic predictors of subsequent ipsilateral breast events (iBEs: DCIS recurrence or invasive progression) in both DCIS epithelium and stroma in formalin fixed paraffin embedded tissue. We generated de novo tumor and stroma-centric subtypes for DCIS that represents fundamental transcriptomic organization. Copy number analysis was performed using low-pass DNA sequencing. Non-negative matrix factorization (NMF) was applied to the RNA expression of all coding genes to identify clusters. A negative-binomial regression model was used to identify differentially expressed genes. Results. We analyzed 677 DCIS samples from 481 patients with 7.1 years median follow-up. In TBCRC samples, we identified three clusters via NMF in TBCRC referred to as ER low, quiescent, and ER high. The ER-low cluster had significantly higher levels of ERBB2 and lower levels of ESR1 compared to quiescent and ER-high clusters. Quiescent cluster lesions were less proliferative and less metabolically active than ER high and ER low subtypes. These findings were replicated in the RAHBT cohort. Focusing on the stromal component of DCIS from laser capture microdissection in RAHBT samples, we identified four distinct DCIS-associated stromal clusters. A “normal-like” stromal cluster with ECM organization and PI3K-AKT signaling; a “collagen-rich” stromal cluster; a “desmoplastic” stromal cluster with high fibroblast and total myeloid abundance, mostly associated with macrophages and myeloid dendritic cells (mDC); and an “immune-dense” stromal cluster. Further, we compared differentially expressed genes in patients with or without subsequent iBEs within 5 years of diagnosis. Hypothesizing that the resulting 812 DE genes (DESeq2) represent multiple routes to subsequent iBEs, we leveraged NMF to identify paths to progression. In both TBCRC and RAHBT cohorts, poor outcome groups exhibited increased ER, MYC signaling, and oxidative phosphorylation, supporting that these pathways are important for DCIS recurrence and progression. Conclusion. Comprehensive genomic profiling in two independent DCIS cohorts with longitudinal outcomes shows distinct DCIS stromal expression patterns and immune cell composition. RNA expression profiles reveal underlying tumor biology that is associated with later iBEs in both cohorts. These studies provide new insight into DCIS biology and will guide the design of diagnostic strategies to prevent invasive progression. Citation Format: Siri H Strand, Belén Rivero-Gutiérrez, Kathleen E Houlahan, Jose A Seoane, Lorraine M King, Tyler Risom, Lunden Simpson, Sujay Vennam, Aziz Khan, Timothy Hardman, Bryan E Harmon, Fergus J Couch, Kristalyn Gallagher, Mark Kilgore, Shi Wei, Angela DeMichele, Tari King, Priscilla F McAuliffe, Julie Nangia, Joanna Lee, Jennifer Tseng, Anna Maria Storniolo, Alastair Thompson, Gaorav Gupta, Robyn Burns, Deborah J Veis, Katherine DeSchryver, Chunfang Zhu, Magdalena Matusiak, Jason Wang, Shirley X Zhu, Jen Tappenden, Daisy Yi Ding, Dadong Zhang, Jingqin Luo, Shu Jiang, Sushama Varma, Cody Straub, Sucheta Srivastava, Christina Curtis, Rob Tibshirani, Robert Michael Angelo, Allison Hall, Kouros Owzar, Kornelia Polyak, Carlo Maley, Jeffrey R Marks, Graham A Colditz, E Shelley Hwang, Robert B West. The Breast PreCancer Atlas DCIS genomic signatures define biology and correlate with clinical outcomes: An analysis of TBCRC 038 and RAHBT cohorts [abstract]. In: Proceedings of the 2021 San Antonio Breast Cancer Symposium; 2021 Dec 7-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2022;82(4 Suppl):Abstract nr GS4-07.
AAPM task group report 302: Surface‐guided radiotherapy
Al‐Hallaq, Hania , Gutiérrez, Alonso N. , Havnen‐Smith, Amanda, Higgins, Susan A., Kügele, M. , Padilla, Laura , Pawlicki, Todd , Remmes, Nicholas B. , Smith, Koren, Tomé, Wolfgang A. , Havnen-Smith, Amanda, Remmes, Nicholas, Cerviño, Laura , Tang, Xiaoli

Medical Physics | February 18, 2022 | Volume: 49 | Issue: 4 | Pages: No page available

10.1002/mp.15532 | PMID 35179229 Get It

Abstract The clinical use of surface imaging has increased dramatically, with demonstrated utility for initial patient positioning, real‐time motion monitoring, and beam gating in a variety of anatomical sites. The Therapy Physics Subcommittee and the Imaging for Treatment Verification Working Group of the American Association of Physicists in Medicine commissioned Task Group 302 to review the current clinical uses of surface imaging and emerging clinical applications. The specific charge of this task group was to provide technical guidelines for clinical indications of use for general positioning, breast deep‐inspiration breath hold treatment, and frameless stereotactic radiosurgery. Additionally, the task group was charged with providing commissioning and on‐going quality assurance (QA) requirements for surface‐guided radiation therapy (SGRT) as part of a comprehensive QA program including risk assessment. Workflow considerations for other anatomic sites and for computed tomography simulation, including motion management, are also discussed. Finally, developing clinical applications, such as stereotactic body radiotherapy (SBRT) or proton radiotherapy, are presented. The recommendations made in this report, which are summarized at the end of the report, are applicable to all video‐based SGRT systems available at the time of writing.
Acute cerebrovascular events in severe and nonsevere COVID-19 patients: a systematic review and meta-analysis
Quintanilla‐Sánchez, Carolina , Salcido‐Montenegro, Alejandro , González‐González, José Gerardo , Rodríguez‐Gutiérrez, René , González-González, José Gerardo

Reviews in the Neurosciences | February 10, 2022 | Volume: 33 | Issue: 6 | Pages: 631-639

10.1515/revneuro-2021-0130 | PMID 35142148 Get It

Abstract The degree to which COVID-19 severity influences the development of acute cerebrovascular events (ACVE) is unknown. Therefore, we aimed to describe the prevalence and risk of ACVE in patients with severe and nonsevere COVID-19. We systematically reviewed MEDLINE, EMBASE, Web of Science, and Scopus and identified observational and interventional studies of patients with COVID-19 allocated by respiratory severity that reported ACVE development. Case reports/series were excluded. The main outcome assessed was the pooled rate of ACVE in patients with severe and nonsevere COVID-19. To determine the risk of ACVE development by COVID-19 severity, a meta-analysis was performed. PROSPERO registration number: CRD42020178905. About 19 of 5758 identified studies were analyzed. From 11,886 COVID-19 patients analyzed, 421 had at least one ACVE [3.6%, 95% confidence interval (CI) 2.904–4.179]. Severe COVID-19 increased the risk of ACVE (odds ratio 1.96, 95% CI 1.22–3.15; P = 0.005; I 2 = 64%), specifically hemorrhagic stroke (4.12, 2.0–8.53; P = 0.001; I 2 = 0%). There was no difference in the risk of developing ischemic stroke between patients with severe and nonsevere COVID-19 (1.53, 0.87–2.7; P = 0.14; I 2 = 52%). From the patients who developed any ACVE, those with severe COVID-19 had a greater mortality risk than those with nonsevere COVID-19 (3.85, 1.08–13.70; P = 0.04; I 2 = 0%). The main limitations of our study were the heterogeneity found in the main meta-analysis studies and in their reported definition for COVID-19 severity. In conclusion, our findings provide evidence that COVID-19 respiratory severity could lead to ACVE development that increases mortality. The effect of COVID-19 management in ACVE needs to be evaluated.
Carotid Intima-Media Thickness in Patients with Subclinical Hypothyroidism: A Prospective Controlled Study
Soto-García, Anally , Elizondo‐Riojas, Guillermo , Rodríguez‐Gutiérrez, René , Mancillas‐Adame, Leonardo , González‐González, José Gerardo , Mancillas-Adame, Leonardo G , González-González, José Gerardo

Clinical and Investigative Medicine | December 31, 2021 | Volume: 44 | Issue: 4 | Pages: E39-E45

10.25011/cim.v44i4.37139 | PMID 34978774 Get It

Purpose The association between subclinical hypothyroidism (SCH) and cardiovascular risk, particularly with a TSH <10 µIU/ml, remains controversial. The objective of our study was to assess the association between SCH and cardiovascular risk through carotid intima-media thickness, and alternatively, to evaluate its change after treatment with levothyroxine. Methods A total of 54 individuals were included in the study: 18 with SCH; 18 with overt hypothyroidism (OH); and 18 healthy controls (HC). The carotid intima-media thickness was measured in each group. In SCH, follow-up was performed at three and six months after the start of levothyroxine treatment. Results The mean age of the total population at baseline was 35.8 years. The median TSH in SCH was 6.15 µIU/ml. The carotid intima-media thickness (mean and standard deviation) was greater in SCH in comparison to the HC group: right common carotid artery (RCCA), 0.486 ± 0.106 mm and 0.413 ± 0.075 mm in SCH and HC, respectively, p=0.01 and left common carotid artery (LCCA), 0.511 ± 0.144 mm and 0.427 mm ± 0.090 in SCH and HC, respectively, p=0.03). In patients with SCH, there was a decrease in the carotid intima-media thickness after treatment with levothyroxine (RCCA and LCCA, p <0.05 at three and six months). Conclusions There was an association between increased carotid intima-media thickness in patients with SCH in comparison with HC, even with a TSH <10 µIU/ml. The increase was reversed with levothyroxine therapy. The association of this increased thickness with important cardiovascular outcomes remains uncertain and should be evaluated in future studies.
Cancer Incidence, Mortality, Years of Life Lost, Years Lived With Disability, and Disability-Adjusted Life Years for 29 Cancer Groups From 2010 to 2019
Kocarnik, Jonathan , Compton, Kelly, Dean, Frances , Fu, Weijia , Gaw, Brian, Harvey, James , Henrikson, Hannah , Lu, Dan , Pennini, Alyssa, Xu, Rixing, Ababneh, Emad , Abbasi‐Kangevari, Mohsen , Abbastabar, Hedayat , Abd‐Elsalam, Sherief , Abedi, Aidin , Abidi, Hassan , Abolhassani, Hassan , Adedeji, Isaac Akinkunmi , Advani, Shailesh M, Aghaali, Mohammad , Ahmad, Tauseef , Rashid, Tarik A. , Salih, Yusra Ahmed , Aklilu, Addis , Akram, Tayyaba , Akunna, Chisom Joyqueenet , Hamad, Hanadi Al , Alahdab, Fares , Alimohamadi, Yousef, Alipour, Vahid, Alkhayyat, Motasem , Almasri, Nihad A. , Al‐Maweri, Sadeq Ali , Almustanyir, Sami , Alonso, Nivaldo , Alvis‐Guzmán, Nelson , Amu, Hubert , Ansari, Fereshteh, Antwi, Maxwell Hubert , Anvari, Davood , Anyasodor, Anayochukwu Edward , Aqeel, Muhammad , Arabloo, Jalal , Aremu, Olatunde , Ariffin, Hany , Aripov, Timur , Arshad, Muhammad , Artaman, Al, Arulappan, Judie , Jafarabadi, Mohammad Asghari , Ashraf, Tahira , Atorkey, Prince , Ausloos, Marcel , Awedew, Atalel Fentahun , Quintanilla, Beatriz Paulina Ayala , Ayenew, Temesgen , Azab, Mohammed A. , Azadnajafabad, Sina , Jafari, Amirhossein Azari , Azarian, Ghasem , Badiye, Ashish , Bahadory, Saeed , Baig, Atif Amin , Baker, Jennifer L. , Balakrishnan, Senthilkumar , Bärnighausen, Till , Barone‐Adesi, Francesco , Barrow, Amadou , Belgaumi, Uzma , Bezabhe, Woldesellassie, Bezabih, Yihienew Mequanint , Bhagat, Devidas S. , Bhagavathula, Akshaya Srikanth , Bhardwaj, Nikha , Bhaskar, Sonu , Bhojaraja, Vijayalakshmi S, Bibi, Sadia , Bijani, Ali , Bisignano, Catherine, Bolarinwa, Obasanjo Afolabi , Bolla, Srinivasa Rao , Braithwaite, Dejana , Brar, Amanpreet , Brenner, Hermann , Bustamante-Teixeira, Maria Teresa , Butt, Nadeem Shafique , Butt, Zahid A , Santos, Florentino Luciano Caetano dos , Cao, Yin , Carreras, Giulia , Catalá-López, Ferrán , Cembranel, Francieli , Cerin, Ester , Cernigliaro, Achille , Chakinala, Raja Chandra , Chattu, Soosanna Kumary , Chattu, Vijay Kumar , Chaturvedi, Pankaj, Chimed‐Ochir, Odgerel , Cho, Daniel , Chu, Dinh‐Toi , Conde, João , Cortés, Sandra , Cortesi, Paolo Angelo, Costa, Vera Marisa , Cunha, Amanda Ramos da , Dadras, Omid , Dagnew, Amare Belachew , Dandona, Lalit , Dandona, Rakhi , Hoz, Fernando de la , Dhamnetiya, Deepak , Dhimal, Mandira Lamichhane , Díaz, Daniel , Djalalinia, Shirin , Doaei, Saeid , Dorostkar, Fariba, Driscoll, Tim , Ebrahimi, Hedyeh , Eftekharzadeh, Sahar , Tantawi, Maha El , El‐Abid, Hassan , Elbarazi, Iffat , Elhabashy, Hala Rashad , Elhadi, Muhammed , Eshrati, Babak, Esmaeilzadeh, Firooz , Etemadi, Arash , Ezzikouri, Sayeh , Faisaluddin, Mohammed, Fares, Jawad , Farzadfar, Farshad , Feroze, Abdullah , Desideri, Lorenzo Ferro , Fischer, Florian , Fisher, James L. , Fukumoto, Takeshi , Gad, Mohamed M. , Fonseca, Mariana Gaspar, Obsa, Abera Getachew, Ghafourifard, Mansour , Ghashghaee, Ahmad , Ghith, Nermin , Gholamalizadeh, Maryam , Gilani, Syed Amir , Gizaw, Abraham Tamirat , Glasbey, James , Golechha, Mahaveer , Goleij, Pouya , Gopalani, Sameer Vali , Gorini, Giuseppe , Goudarzi, Houman , Gubari, Mohammed Ibrahim Mohialdeen , Guerra, Maximiliano Ribeiro, Guha, Avirup , Gunasekera, Sanjeeva , Gupta, Bhawna , Gupta, Vivek , Gutiérrez, Reyna Alma, Hafezi‐Nejad, Nima , Haider, Mohammad Rifat , Hameed, Sajid , Hanif, Asif , Haque, Shafiul , Harlianto, Netanja I. , Hasaballah, Ahmed I , Hay, Simon I , Heidari, Golnaz , Herrera-Serna, Brenda Yuliana , Herţeliu, Claudiu , Hezam, Kamal , Hossain, Mohammad Bellal , Hosseini, Mohammad‐Salar , Hosseini, Mostafa, Hosseinzadeh, Mehdi , Hostiuc, Mihaela , Househ, Mowafa , Hsaïri, Mohamed, Huang, Junjie , Hugo, Fernando Neves , Hussain, Rabia , Hussein, Nawfal R , Hwang, Bing‐Fang , Ibitoye, Segun Emmanuel , Ida, Fidelia , Ikuta, Kevin S , Ilić, Irena , Irham, Lalu Muhammad , Islam, Jessica Y. , Islam, Sheikh Mohammed Shariful , Ismail, Nahlah Elkudssiah , Isola, Gaetano , Iwagami, Masao , Jacob, Louis , Jain, Vardhmaan , Jakovljević, Mihajlo, Javaheri, Tahereh , Jayaram, Shubha, Jha, Ravi Prakash , Jonas, Jost B, Joó, Tamás , Joseph, Nitin , Joukar, Farahnaz, Jürisson, Mikk , Kalankesh, Leila R , Kalhor, Rohollah , Kalkonde, Yogeshwar , Kamath, Ashwin , Al-Salihi, Nawzad Kameran, Kandel, Himal , Kapoor, Neeti , Kasa, Ayele Semachew , Keshavarz, Pedram , Keykhaei, Mohammad , Khader, Yousef , Khalilov, Rovshan , Khan, Maseer , Khan, Md Nuruzzaman , Khan, Moien AB , Khang, Young-Ho, Khater, Amir M, Kısa, Adnan , Kısa, Sezer , Kopec, Jacek A , Koteeswaran, Rajasekaran , Koul, Parvaiz A , Laxminarayana, Sindhura Lakshmi Koulmane , Biçer, Burcu Küçük , Kugbey, Nuworza , Kumar, G Anil , Kurmi, Om , Kutluk, Tezer, Lami, Faris Hasan, Lee, Yo Han , Leigh, James , Leong, Elvynna , Li, Ming‐Chieh , Liu, Xuefeng , Loureiro, Joana A. , Lunevičius, Raimundas , Razek, Muhammed Magdy Abd El, Majeed, Azeem , Makki, Alaa, Male, Shilpa, Malik, Ahmad Azam , Martini, Santi , Masoumi, Seyedeh Zahra , Mehrotra, Ravi , Mendoza, Walter, Mengesha, Endalkachew Worku , Mesregah, Mohamed Kamal , Jonasson, Junmei Miao , Miazgowski, Bartosz , Miazgowski, Tomasz , Michałek, Irmina Maria , Miller, Ted R. , Mirzaei, Hamid Reza , Misra, Sanjeev , Mithra, Prasanna , Moghadaszadeh, Masoud, Mohammad, Karzan Abdulmuhsin , Mohammad, Yousef , Mohammadi, Mokhtar , Mohammadi, Seyyede Momeneh, Mohammadian-Hafshejani, Abdollah , Mohammed, Shafiu , Moka, Nagabhishek , Mokdad, Ali H. , Molokhia, Mariam , Monasta, Lorenzo , Moosavi, Mohammad Amin , Moradi, Yousef , Moraga, Paula , Morgado-da-Costa, Joana, Mubarik, Sumaira , Mwanri, Lillian , Nagarajan, Ahamarshan Jayaraman , Nagata, Chie , Naimzada, Mukhammad David , Nangia, Vinay, Naqvi, Atta Abbas , Swamy, Sreenivas Narasimha, Negoi, Ionuţ , Negru, Șerban , Kandel, Sandhya Neupane , Nguyen, Cuong Tat , Niazi, Robina Khan, Nnaji, Chukwudi A , Noor, Nurulamin M , Nzoputam, Chimezie Igwegbe , Oancea, Bogdan , Ogbo, Felix Akpojene , Olagunju, Andrew T , Olakunde, Babayemi O. , Omar, Emad, Bali, Ahmed Omar , Omonisi, Abidemi , Ong, Sokking, Onwujekwe, Obinna , Ortega-Altamirano, Doris V , Otstavnov, Stanislav S , Mahesh, P A , Pakshir, Keyvan , Pană, Adrian , Panagiotakos, Demosthenes B. , Panda‐Jonas, Songhomitra, Park, Eun‐Cheol , Park, Eun‐Kee , Kan, Fatemeh Pashazadeh , Patel, Harsh K. , Patel, Jenil , Pati, Siddhartha , Paudel, Uttam , Pereira, David M. , Pereira, Renato B. , Perianayagam, Arokiasamy , Pillay, Julian David , Pirouzpanah, Saeed , Podder, Indrashis , Postma, Maarten J. , Prashant, Akila , Preoțescu, Liliana , Rabiee, Navid , Radfar, Amir , Radhakrishnan, Raghu , Radhakrishnan, Venkatraman , Rahim, Fakher , Rahimzadeh, Shadi , Rahman, Mosiur , Rahman, Muhammad Aziz , Rajai, Nazanin , Rajesh, Aashish , Ram, Pradhum , Ramezanzadeh, Kiana, Ranabhat, Kamal , Rao, Chythra R , Rao, Sowmya J, Rawassizadeh, Reza , Razeghinia, Mohammad Sadegh , Rezapour, Aziz, Buendía, Jefferson Antonio , Rohloff, Peter , Rwegerera, Godfrey Mutashambara , Manjula, S, Saddik, Basema , Saeed, Umar , Sahoo, Harihar , Salehi, Sana , Salem, Marwa Rashad , Samaei, Mehrnoosh, Samy, Abdallah M , Sanabria, Juan , Sankararaman, Senthilkumar , Santric-Milicevic, Milena M , Sardiwalla, Yaeesh , Sarveazad, Arash , Sathian, Brijesh , Sawhney, Monika, Šekerija, Mario , Seylani, Allen, Shafaat, Omid , Shaikh, Masood Ali , Shannawaz, Mohammed , Sheikhbahaei, Sara , Shetty, Adithi , Shetty, Jeevan K. , Shetty, Pavanchand H, Shirkoohi, Reza , Shivarov, Velizar , Malleshappa, Sudeep K Siddappa , Silva, Diego Augusto Santos , Sintayehu, Yitagesu , Skryabin, Valentin Yurievich , Soeberg, Matthew, Sofi‐Mahmudi, Ahmad , Steiropoulos, Paschalis , Straif, Kurt, Subedi, Ranjeeta , Sultana, Saima , Szerencsés, Viktória , Tabuchi, Takahiro , Tadbiri, Hooman , Takahashi, Ken , Tan, Ker‐Kan , Tat, Vivian Y, Tedla, Bemnet , Tefera, Yonas Getaye , Temsah, Mohamad‐Hani , Tesfay, Fisaha Haile , Tessema, Gizachew Assefa , Thavamani, Aravind , Chandrasekar, Viveksandeep Thoguluva , Touvier, Mathilde , Tovani‐Palone, Marcos Roberto , Traini, Eugenio , Tran, Mai Thi Ngoc , Tripathy, Jaya Prasad , Tusa, Biruk Shalmeno , Ullah, Irfan , Ullah, Saif , Umapathi, Krishna Kishore , Vaezi, Maryam, Tahbaz, Sahel Valadan , Velazquez, Diana Zuleika , Violante, Francesco Saverio , Volovici, Victor , Vu, Giang Thu , Waheed, Yasir , Ward, Paul , Wen, Yi Feng , Westerman, Ronny, Yadav, Lalit , Jabbari, Seyed Hossein Yahyazadeh, Yang, Lin , Yazie, Taklo Simeneh , Yeshaw, Yigizie , Younis, Mustafa Z , Yousefi, Zabihollah , Yunusa, Ismaeel , Zadnik, Vesna , Zare, Fariba , Застрожин, Михаил Сергеевич , Zastrozhina, Anasthasia, Zhang, Jianrong , Zhong, Chenwen, Zhu, Cong , Zimmermann, Ivan Ricardo , Fitzmaurice, Christina , Murray, Christopher J L , Force, Lisa M , Ong, Sok King , Eftekhari, Aziz , Guimarães, André Luiz Sena , Kumar, Vivek , Lami, Faris , Liu, Xuefeng , Baig, Atif Amin , Thoguluva Chandrasekar, Viveksandeep, Kumar, Vivek , Cao, Yin , Brenner, Hermann , Farzadfar, Farshad , Islam, Sheikh Mohammed Shariful , Rahman, Muhammad Aziz , Guha, Avirup , Ebrahimi, Hedyeh , Volovici, Victor , Bhagavathula, Akshaya Srikanth , Jakovljević, Mihajlo , Elhadi, Muhammed , Abdoli, Amir , Adnani, Qorinah Estiningtyas Sakilah , Afzal, Muhammad Sohail, Ahinkorah, Bright Opoku , Ahmad, Sajjad , Ahmadi, Ali , Ahmadi, Sepideh , Akalu, Gizachew Taddesse , Al‐Aly, Ziyad , Ali, Saqib , Aljunid, Syed Mohamed , Almasi‐Hashiani, Amir , Anbesu, Etsay Woldu , Ancuceanu, Robert , Ansari‐Moghaddam, Alireza , Arab-Zozani, Morteza , Asemi, Zatollah , Aujayeb, Avinash , Azzam, Ahmed Y , Banach, Maciej , Barra, Fabio , Behzadifar, Masoud , Bezabhe, Woldesellassie M Mequanint , Bhardwaj, Pankaj , Bhattacharyya, Krittika , Biondi, Antonio , Bjørge, Tone , Bleyer, Archie , Blyuss, Oleg B. , Chaturvedi, Pankaj, Christopher, Devasahayam Jesudas , Chung, Michael T. , Cortesi, Paolo Angelo , Belachew, Amare , Dahlawi, Saad M A , Dai, Xiaochen , Darwesh, Aso Mohammad , Neves, José das , Demis, Asmamaw , Denova‐Gutiérrez, Edgar , Dhimal, Meghnath , Dianatinasab, Mostafa , Do, Huyen Phuc , Doaei, Saeid , Figueiredo, Francisco Winter dos Santos , El-Jaafary, Shaimaa I , Eskandarieh, Sharareh , Faraon, Emerito Jose A , Ferrero, Simone , Filip, Irina , Foroutan, Masoud , Gaál, Péter , Gadanya, Muktar A , Gallus, Silvano , Gomez, Ricardo Santiago , Grosso, Giuseppe , Gupta, Veer Bala , Haj‐Mirzaian, Arvin , Halwani, Rabih , Hamadeh, Randah R , Hamidi, Samer , Haro, Josep María , Hassanipour, Soheil , Hay, Roderick J. , Hayat, Khezar , Heidari, Mohammad , Holla, Ramesh , Hossain, Md Mahbub , Hostiuc, Sorin , Iavicoli, Ivo , Ilesanmi, Olayinka Stephen , Ilić, Milena , Islam, Rakibul M. , Jazayeri, Seyed Behzad , Kabir, Ali , Kahrizi, Danial , Kaliyadan, Feroze , Karch, André , Katikireddi, Srinivasa Vittal , Kauppila, Joonas H. , Kavetskyy, Taras , Kebede, Sewnet Adem , Khan, Gulfaraz , Khang, Young-Ho, Khayamzadeh, Maryam , Kim, Gyu Ri , Kim, Yun Jin , Kissimova‐Skarbek, Katarzyna , Koyanagi, Ai , Kumar, Narinder , Kumar, Nithin , Vecchia, Carlo La , Landires, Iván , Lauriola, Paolo , Lee, Sang Hyuck , Lee, Shaun Wen Huey , Lee, Wei‐Chen , Li, Jiarui , Mansournia, Mohammad Alì , Mathur, Prashant , McKee, Martin , Menezes, Ritesh G. , Meštrović, Tomislav , Mirzaei, Hamed , Moni, Mohammad Ali , Morrison, Shane D. , Mosapour, Abbas , Nagaraju, Shankar Prasad , Ndejjo, Rawlance , Nduaguba, Sabina O. , Nguyen, Huong Lan Thi , Núñez-Samudio, Virginia , Оchir, Chimedsuren , Odukoya, Oluwakemi Ololade , Ong, Sokking, Orru, Hans , Otstavnov, Nikita , Owolabi, Mayowa , Padubidri, Jagadish Rao , Pardhan, Shahina , Pattanshetty, Sanjay M. , Pishgar, Farhad , Pourjafar, Hadi , Rabiee, Mohammad , Rafiee, Ata , Rahmani, Amir Masoud , Rakovac, Ivo , Ranasinghe, Priyanga Diloshini , Renzaho, André M. N. , Rezaei, Negar , Rezaei, Nima , Roberts, Thomas J. , Romoli, Michele , Ronfani, Luca , Roshandel, Gholamreza , Sabour, Siamak , Sahebkar, Amirhossein , Salimzadeh, Hamideh , Şaylan, Mete , Schneider, Ione Jayce Ceola , Shaghaghi, Zahra , Shamsoddin, Erfan , Sharma, Rajesh , Sheikh, Aziz , Shibuya, Kenji , Shivakumar, K. M. , Siabani, Soraya , Singh, Jasvinder A. , Skryabina, Anna Aleksandrovna , Sotoudeh, Houman , Sufiyan, Mu’awiyyah Babale , Sultan, Iyad Yasin , Sur, Daniel Genel , Szócska, Miklós , Tabarés‐Seisdedos, Rafael , Taherkhani, Amir , Talaat, Iman Mamdouh , Tehrani‐Banihashemi, Arash , Thapar, Rekha , Thomas, Nihal , Tohidinik, Hamid Reza , Tran, Bach Xuan , Tran, Khanh Bao , Unnikrishnan, Bhaskaran , Upadhyay, Era , Vacante, Marco , Vaezi, Maryam, Veroux, Massimiliano , Vlassov, Vasily , Vo, Bay, Wamai, Richard G. , Winkler, Andrea Sylvia , Yaya, Sanni , Yonemoto, Naohiro , Yu, Chuanhua , Yüce, Deniz , Zhou, Linghui , Ziapour, Arash , Olagunju, Andrew T , Shivakumar, KM , Baig, Atif Amin , Alahdab, Fares , Asghari-Jafarabadi, Mohammad , Rahim, Fakher

JAMA Oncology | December 30, 2021 | Volume: 8 | Issue: 3 | Pages: 420

10.1001/jamaoncol.2021.6987 | PMID 34967848 Get It