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Truyen TTTT, Vo NLY, Vo QP, Phan TC, Le PNB, Nguyen HDT, Heckard E, Liu H, Nguyen TQ, Nguyen TH, Nguyen TN, Zuin M, Nguyen T. Burden and risk factors of stroke in Vietnam from 1990 to 2021 - a systematic analysis from global burden disease 2021. J Stroke Cerebrovasc Dis 2025; 34:108241. [PMID: 39826583 DOI: 10.1016/j.jstrokecerebrovasdis.2025.108241] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2024] [Revised: 01/10/2025] [Accepted: 01/14/2025] [Indexed: 01/22/2025] Open
Abstract
BACKGROUND Stroke is a leading cause of death in Vietnam. However, a comprehensive analysis of stroke burden remains limited. This study aims to investigate the burden of stroke and various risk factors in Vietnam from 1990 to 2021. STUDY DESIGN AND METHODS We utilized data from the Global Burden of Disease 2021 estimates. For the burden of stroke, we included the following variables as age-standardized rates (ASR) per 100,000 people per year: incidence, prevalence, disability-adjusted life years (DALYs), and mortality. Stroke-related mortality and DALYs associated with 23 risk factors were also analyzed. Trends were analyzed using joinpoint regression analysis. RESULTS In 2021, stroke was responsible for 166,954 deaths (Males:96,764; Females:70,190). The ASR for stroke incidence was 203·36 (95%CI: 190·51-271·81) per 100,000 people, exceeding 187·98 in Southeast Asia and 141·55 globally. From 1990 to 2021, stroke incidence, death, and DALYs decreased steadily, with average annual percentage changes (AAPCs) of -0·34%, -0·49%, and -0·61%. The prevalence of stroke decreased among women (AAPC:-0·19%) and increased among men (AAPC:0·26%). Metabolic risks were the largest contributors to stroke-related mortality (144·89 per 100,000) and DALYs (2,872·37 per 100,000). The analysis revealed that behavioral risks were more prevalent in males, and metabolic risks in females. CONCLUSION Stroke is the leading cause of death and disability in Vietnam. Although its overall burden has declined, the persistent and significant burden among males, coupled with specific risk factors, remains a major concern. Further researches are warranted to develop targeted interventions addressing the distinct risk factors.
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Affiliation(s)
| | - Nhi Le Y Vo
- University of Medicine and Pharmacy at Ho Chi Minh City, Ho Chi Minh City, Vietnam
| | - Quynh Phuong Vo
- University of Medicine and Pharmacy at Ho Chi Minh City, Ho Chi Minh City, Vietnam
| | - Tri Cuong Phan
- Faculty of Medicine, Nam Can Tho University, Can Tho, Vietnam
| | - Phuc Nhan Bao Le
- University of Medicine and Pharmacy at Ho Chi Minh City, Ho Chi Minh City, Vietnam
| | | | | | - Hailei Liu
- Division of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, PR China
| | - Trung Quoc Nguyen
- Department of Cerebrovascular Disease, 115 People's Hospital, Ho Chi Minh City, Vietnam
| | - Thang Huy Nguyen
- Department of Cerebrovascular Disease, 115 People's Hospital, Ho Chi Minh City, Vietnam; Department of Neurology, Pham Ngoc Thach University of Medicine, Ho Chi Minh City, Vietnam
| | - Thanh N Nguyen
- Department of Neurology and Department of Radiology, Boston Medical Center, Boston University Chobanian & Avedisian School of Medicine, Boston, USA
| | - Marco Zuin
- Department of Translational Medicine, University of Ferrara, Ferrara, Italy
| | - Thach Nguyen
- Cardiovascular Research Laboratories, Methodist Hospital, Merrillville, Indiana, USA; School of Medicine, Tan Tao University, Duc Hoa, Long An, Vietnam
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Tunkl C, Agarwal A, Ramage E, Velez FS, Roushdy T, Ullberg T, Li L, Carbonera LA, Yusof Khan AHK, Ciopleias B, Law ZK, Katsanos AH, Heldner MR, Khan M, Matuja S, Alet MJ, Lagos-Servellón J, Minhas JS, Zuurbier SM, Mosconi MG, Lotlikar R, Elkady A, Gerner ST, Shreyan S, Krauss A, Gumbinger C, Srivastava P, Kiper P, Ohannessian R, Berberich A, Sampaio Silva G, Ranta A. Telemedicine networks for acute stroke: An analysis of global coverage, gaps, and opportunities. Int J Stroke 2024:17474930241298450. [PMID: 39460528 DOI: 10.1177/17474930241298450] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2024]
Abstract
BACKGROUND Despite the proven efficacy of telestroke in improving clinical outcomes by providing access to specialized expertise and allowing rapid expert hyperacute stroke management and decision-making, detailed operational evidence is scarce, especially for less developed or lower income regions. AIM We aimed to map the global telestroke landscape and characterize existing networks. METHODS We employed a four-tiered approach to comprehensively identify telestroke networks, primarily involving engagement with national stroke experts, stroke societies, and international stroke authorities. A carefully designed questionnaire was then distributed to the leaders of all identified networks to assess these networks' structures, processes, and outcomes. RESULTS We identified 254 telestroke networks distributed across 67 countries. High-income countries (HICs) concentrated 175 (69%) of the networks. No evidence of telestroke services was found in 58 (30%) countries. From the identified networks, 88 (34%) completed the survey, being 61 (71%) located in HICs. Network setup was highly heterogeneous, ranging from 17 (22%) networks with more than 20 affiliated hospitals, providing thousands of annual consultations using purpose-built highly specialized technology, to 11 (13%) networks with fewer than 120 consultations annually using generic videoconferencing equipment. Real-time video and image transfer was employed in 64 (75%) networks, while 62 (74%) conducting quality monitoring. Most networks established in the past 3 years were located in low- and middle-income countries (LMICs). CONCLUSION This comprehensive global survey of telestroke networks found significant variation in network coverage, setup, and technology use. Most services are in HICs, and a few services are in LMICs, although an emerging trend of new networks in these regions marks a pivotal moment in global telestroke care. The wide variation in quality monitoring practices across networks, with many failing to report key performance metrics, underscores the urgent need for standardized, resource-appropriate, quality assurance measures that can be adapted to diverse settings.
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Affiliation(s)
- Christine Tunkl
- Department of Neurology, University Hospital Heidelberg, Heidelberg, Germany
| | - Ayush Agarwal
- Department of Neurology, All India Institute of Medical Sciences, New Delhi, New Delhi, India
| | - Emily Ramage
- The Florey Institute of Neuroscience and Mental Health, and Western Health, Parkville, VIC, Australia
| | - Faddi Saleh Velez
- Department of Neurology, The University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Tamer Roushdy
- Department of Neurology, Faculty of Medicine, Ain Shams University, Cairo, Egypt
| | - Teresa Ullberg
- Department of Neurology, Skane University Hospital, Clinical Sciences, Lund University, Lund, Sweden
| | - Linxin Li
- Wolfson Centre for Prevention of Stroke and Dementia, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Leonardo A Carbonera
- Department of Neurology and Neurosurgery, Hospital Moinhos de Vento, Porto Alegre, Brazil
| | - Abdul Hanif Khan Yusof Khan
- Department of Neurology, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, Malaysia
| | - Bogdan Ciopleias
- Department of Neurology, Faculty of Medicine, Transilvania University of Brasov, Brasov, Romania
| | - Zhe Kang Law
- Department of Medicine, Faculty of Medicine, National University of Malaysia (UKM), Kuala Lumpur, Malaysia
| | - Aristeidis H Katsanos
- Department of Medicine (Neurology), McMaster University and Population Health Research Institute, Hamilton, ON, Canada
| | - Mirjam R Heldner
- Department of Neurology, Inselspital, University Hospital and University of Bern, Bern, Switzerland
| | - Maria Khan
- Department of Neurology, Rashid Hospital, Mohammed Bin Rashid University of Medical and Health Sciences, Dubai, UAE
| | - Sarah Matuja
- Department of Medicine, Weill Bugando School of Medicine, Mwanza, Tanzania
| | - Matias J Alet
- Department of Neurology, Comprehensive Stroke Center, Fleni, Ciudad de Buenos Aires, Argentina
| | | | - Jatinder S Minhas
- Cerebral Haemodynamics in Ageing and Stroke Medicine (CHiASM), Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
- NIHR Leicester Biomedical Research Centre, BHF Cardiovascular Research Centre, Glenfield Hospital, Leicester, UK
| | | | - Maria Giulia Mosconi
- Internal Vascular and Emergency Medicine-Stroke Unit, University of Perugia, Perugia, Italy
| | - Radhika Lotlikar
- Department of Neurology, Deenanath Mangeshkar Hospital and Research Center, Pune, India
| | | | - Stefan T Gerner
- Department of Neurology, University Hospital Erlangen, Erlangen, Germany
| | | | - Alexandra Krauss
- Department of Neurology, University Hospital Heidelberg, Heidelberg, Germany
| | - Christoph Gumbinger
- Department of Neurology, University Hospital Heidelberg, Heidelberg, Germany
| | - Padma Srivastava
- Department of Neurology, All India Institute of Medical Sciences, New Delhi, New Delhi, India
| | - Pawel Kiper
- Healthcare Innovation Technology Lab, San Camillo IRCCS, Venice, Italy
| | | | - Anne Berberich
- Department of Neurology, Klinikum Ludwigshafen, Ludwigshafen, Germany
| | - Gisele Sampaio Silva
- Albert Einstein Hospital, Sao Paulo, Brazil
- Departamento de Neurologia da Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil
| | - Anna Ranta
- Department of Medicine, University of Otago, Wellington, New Zealand
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Al Hashmi AM, Imam Y, Mansour OY, Shuaib A. Accreditation of stroke programs at the MENA + region; between aspiration and reality. J Stroke Cerebrovasc Dis 2024; 33:107639. [PMID: 38369165 DOI: 10.1016/j.jstrokecerebrovasdis.2024.107639] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Revised: 02/08/2024] [Accepted: 02/14/2024] [Indexed: 02/20/2024] Open
Abstract
INTRODUCTION Despite global progress in stroke care, challenges persist, especially in Low- and Middle-Income countries (LMIC). The Middle East and North Africa Stroke and Interventional Neurotherapies Organization (MENA-SINO) Stroke Program Accreditation Initiative aims to improve stroke care regionally. MATERIAL & METHOD A 2022 survey assessed stroke unit readiness in the Middle East and North Africa (MENA) + region, revealing significant regional disparities in stroke care between high-income and low-income countries. Additionally, it demonstrated interest in the accreditation procedure and suggested that regional stroke program accreditation will improve stroke care for the involved centers. CONCLUSION An accreditation program that is specifically tailored to the regional needs in the MENA + countries might be the solution. In this brief review, we will discuss potential challenges faced by such a program and we will put forward a well-defined 5-step accreditation process, beginning with a letter of intent, through processing the request and appointment of reviewers, the actual audit, the certification decisions, and culminating in granting a MIENA-SINO tier-specific certificate with recertification every 5 years.
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Affiliation(s)
- Amal M Al Hashmi
- Leader Stroke Program at Oman International Hospital, Muscat, Oman.
| | - Yahia Imam
- Neuroscience Institute, Hamad Medical Corporation, Doha, Qatar
| | - Ossama Yassin Mansour
- Alexandria Faculty of Medicine, Department of Neurology, Alexandria University, Alexandria, Egypt
| | - Ashfaq Shuaib
- Director Stroke Program, University of Alberta, Edmonton, AB, Canada
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Srinivasu PN, Sirisha U, Sandeep K, Praveen SP, Maguluri LP, Bikku T. An Interpretable Approach with Explainable AI for Heart Stroke Prediction. Diagnostics (Basel) 2024; 14:128. [PMID: 38248005 PMCID: PMC10813874 DOI: 10.3390/diagnostics14020128] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 01/02/2024] [Accepted: 01/04/2024] [Indexed: 01/23/2024] Open
Abstract
Heart strokes are a significant global health concern, profoundly affecting the wellbeing of the population. Many research endeavors have focused on developing predictive models for heart strokes using ML and DL techniques. Nevertheless, prior studies have often failed to bridge the gap between complex ML models and their interpretability in clinical contexts, leaving healthcare professionals hesitant to embrace them for critical decision-making. This research introduces a meticulously designed, effective, and easily interpretable approach for heart stroke prediction, empowered by explainable AI techniques. Our contributions include a meticulously designed model, incorporating pivotal techniques such as resampling, data leakage prevention, feature selection, and emphasizing the model's comprehensibility for healthcare practitioners. This multifaceted approach holds the potential to significantly impact the field of healthcare by offering a reliable and understandable tool for heart stroke prediction. In our research, we harnessed the potential of the Stroke Prediction Dataset, a valuable resource containing 11 distinct attributes. Applying these techniques, including model interpretability measures such as permutation importance and explainability methods like LIME, has achieved impressive results. While permutation importance provides insights into feature importance globally, LIME complements this by offering local and instance-specific explanations. Together, they contribute to a comprehensive understanding of the Artificial Neural Network (ANN) model. The combination of these techniques not only aids in understanding the features that drive overall model performance but also helps in interpreting and validating individual predictions. The ANN model has achieved an outstanding accuracy rate of 95%.
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Affiliation(s)
- Parvathaneni Naga Srinivasu
- Department of Teleinformatics Engineering, Federal University of Ceará, Fortaleza 60455-970, Brazil
- Department of Computer Science and Engineering, Prasad V Potluri Siddhartha Institute of Technology, Vijayawada 520007, India; (U.S.); (S.P.P.)
| | - Uddagiri Sirisha
- Department of Computer Science and Engineering, Prasad V Potluri Siddhartha Institute of Technology, Vijayawada 520007, India; (U.S.); (S.P.P.)
| | - Kotte Sandeep
- Department of Information Technology, Dhanekula Institute of Engineering & Technology, Vijayawada 521139, India;
| | - S. Phani Praveen
- Department of Computer Science and Engineering, Prasad V Potluri Siddhartha Institute of Technology, Vijayawada 520007, India; (U.S.); (S.P.P.)
| | - Lakshmana Phaneendra Maguluri
- Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur 522302, India;
| | - Thulasi Bikku
- Computer Science and Engineering, Amrita School of Computing Amaravati, Amrita Vishwa Vidyapeetham, Amaravati 522503, India;
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Tunkl C, Paudel R, Bajaj S, Thapa L, Tunkl P, Chandra A, Shah B, Karmacharya B, Subedi A, Jalan P, Ghimire P, Ghimire MR, Dorje G, Begli NH, Golenia J, Gajurel BP, Shreyan S, Sharma N, Krauss A, Pandian J, Fischer T, van der Merwe J, Wick W, Hacke W, Gumbinger C. Implementing stroke care in a lower-middle-income country: results and recommendations based on an implementation study within the Nepal Stroke Project. Front Neurol 2023; 14:1272076. [PMID: 37941574 PMCID: PMC10628475 DOI: 10.3389/fneur.2023.1272076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Accepted: 09/22/2023] [Indexed: 11/10/2023] Open
Abstract
Background Globally, the majority of strokes affect people residing in lower- and lower-middle-income countries (LMICs), but translating evidence-based knowledge into clinical practice in regions with limited healthcare resources remains challenging. As an LMIC in South Asia, stroke care has remained a healthcare problem previously unaddressed at a national scale in Nepal. The Nepal Stroke Project (NSP) aims to improve acute stroke care in the tertiary healthcare sector of Nepal. We hereby describe the methods applied and analyze the barriers and facilitators of the NSP after 18 months. Methods The NSP follows a four-tier strategy: (1) quality improvement by training healthcare professionals in tertiary care centers; (2) implementation of in-hospital stroke surveillance and quality monitoring system; (3) raising public awareness of strokes; and (4) collaborating with political stakeholders to facilitate public funding for stroke care. We performed a qualitative, iterative analysis of observational data to analyze the output indicators and identify best practices. Results Both offline and online initiatives were undertaken to address quality improvement and public awareness. More than 1,000 healthcare professionals across nine tertiary care hospitals attended 26 stroke-related workshops conducted by Nepalese and international stroke experts. Monthly webinars were organized, and chat groups were made for better networking and cross-institutional case sharing. Social media-based public awareness campaigns reached more than 3 million individuals. Moreover, live events and other mass media campaigns were instituted. For quality monitoring, the Registry of Stroke Care Quality (RES-Q) was introduced. Collaboration with stakeholders (both national and international) has been initiated. Discussion We identified six actions that may support the development of tertiary care centers into essential stroke centers in a resource-limited setting. We believe that our experiences will contribute to the body of knowledge on translating evidence into practice in LMICs, although the impact of our results must be verified with process indicators of stroke care.
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Affiliation(s)
- Christine Tunkl
- Department of Neurology, University Hospital Heidelberg, Heidelberg, Germany
| | - Raju Paudel
- Department of Neurology, Grande International Hospital, Kathmandu, Nepal
| | - Sunanjay Bajaj
- Department of Neurology, University of Texas Health Science Center at Houston, McGovern Medical School, Houston, TX, United States
| | - Lekhjung Thapa
- Department of Neurology, National Neuro Center, Kathmandu, Nepal
| | - Patrick Tunkl
- Department of Neurology, University Hospital Heidelberg, Heidelberg, Germany
| | - Avinash Chandra
- Department of Neurology, Annapurna Neurological Institute, Kathmandu, Nepal
| | - Bhupendra Shah
- Department of Neurology, B. P. Koirala Institute of Health Sciences, Dharan, Nepal
| | - Balgopal Karmacharya
- Department of Neurosurgery and Emergency Medicine, Manipal Teaching Hospital, Pokhara, Nepal
| | - Ashim Subedi
- Department of Neurosurgery and Emergency Medicine, Manipal Teaching Hospital, Pokhara, Nepal
| | - Pankaj Jalan
- Department of Neurology, Norvic International Hospital, Kathmandu, Nepal
| | | | - Mahesh Raj Ghimire
- Department of Neurology, National Neuro Center, Kathmandu, Nepal
- Tribhuvan University Teaching Hospital, Kathmandu, Nepal
| | | | - Nima Haji Begli
- Department of Neurology, University Hospital Heidelberg, Heidelberg, Germany
| | - Jessica Golenia
- Department of Neurology, University Hospital Heidelberg, Heidelberg, Germany
| | | | | | - Nooma Sharma
- Department of Neurology, National Neuro Center, Kathmandu, Nepal
| | - Alexandra Krauss
- Department of Neurology, University Hospital Heidelberg, Heidelberg, Germany
| | | | - Thomas Fischer
- Boehringer Ingelheim International GmbH, Ingelheim, Germany
| | | | - Wolfgang Wick
- Department of Neurology, University Hospital Heidelberg, Heidelberg, Germany
| | - Werner Hacke
- Department of Neurology, University Hospital Heidelberg, Heidelberg, Germany
| | - Christoph Gumbinger
- Department of Neurology, University Hospital Heidelberg, Heidelberg, Germany
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Sebastian IA, Gandhi DB, Sylaja PN, Paudel R, Kalkonde YV, Yangchen Y, Gunasekara H, Injety RJ, Vijayanand PJ, Chawla NS, Oo S, Hla KM, Tenzin T, Pandian JD. Stroke systems of care in South-East Asia Region (SEAR): commonalities and diversities. THE LANCET REGIONAL HEALTH. SOUTHEAST ASIA 2023; 17:100289. [PMID: 37849930 PMCID: PMC10577144 DOI: 10.1016/j.lansea.2023.100289] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Revised: 09/15/2023] [Accepted: 09/16/2023] [Indexed: 10/19/2023]
Abstract
The Southeast Asia Region (SEAR) accounts for nearly 50% of the developing world's stroke burden. With various commonalities across its countries concerning health services, user awareness, and healthcare-seeking behavior, SEAR still presents profound diversities in stroke-related services across the continuum of care. This review highlights the numerous systems and challenges in access to stroke care, acute stroke care services, and health care systems, including rehabilitation. The paper has also attempted to compile information on the availability of stroke specialized centers, Intravenous thrombolysis (IVT) ready centers, Endovascular therapy (EVT) ready centers, rehabilitation centers, and workforce against a backdrop of each country's population. Lastly, the efforts of WHO (SEARO)-CMCL (World Health Organization-South East Asia region, Christian Medical College & Hospital Ludhiana) collaboration towards improving stroke services and capacity among the SEAR have been described.
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Affiliation(s)
| | - Dorcas B.C. Gandhi
- Department of Neurology and Physiotherapy, Christian Medical College and Hospital, India
| | - Padmavati N. Sylaja
- Department of Neurology, Shree Chitra Thirunal Institute, Thiruvananthapuram, Kerala, India
| | - Raju Paudel
- Grande International Hospital, Kathmandu, Nepal
| | | | | | | | - Ranjit J. Injety
- Department of Neurology, Christian Medical College and Hospital, Ludhiana, India
| | - Pranay J. Vijayanand
- Department of Neurology, Christian Medical College and Hospital, Ludhiana, India
| | - Nistara S. Chawla
- Department of Neurology, Christian Medical College and Hospital, Ludhiana, India
| | - San Oo
- Department of Neurology, Yangon General Hospital, Yangon, Myanmar
| | - Khin Myo Hla
- Department of Physical Medicine & Rehabilitation, Yangon General Hospital, University of Medicine, Yangon, Myanmar
| | - Tashi Tenzin
- Jigme Dorji Wangchuck National Referral Hospital, Thimpu, Bhutan
| | - Jeyaraj D. Pandian
- Department of Neurology, Christian Medical College and Hospital, Ludhiana, India
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Markus HS. Cognition after stroke. Int J Stroke 2023; 18:884-887. [PMID: 37723654 DOI: 10.1177/17474930231196389] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/20/2023]
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Markus HS. The global burden of stroke. Int J Stroke 2023; 18:632-633. [PMID: 37376832 DOI: 10.1177/17474930231181677] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/29/2023]
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