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Long-term neurologic outcomes of COVID-19
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Abstract
The neurologic manifestations of acute COVID-19 are well characterized, but a comprehensive evaluation of postacute neurologic sequelae at 1 year has not been undertaken. Here we use the national healthcare databases of the US Department of Veterans Affairs to build a cohort of 154,068 individuals with COVID-19, 5,638,795 contemporary controls and 5,859,621 historical controls; we use inverse probability weighting to balance the cohorts, and estimate risks and burdens of incident neurologic disorders at 12 months following acute SARS-CoV-2 infection. Our results show that in the postacute phase of COVID-19, there was increased risk of an array of incident neurologic sequelae including ischemic and hemorrhagic stroke, cognition and memory disorders, peripheral nervous system disorders, episodic disorders (for example, migraine and seizures), extrapyramidal and movement disorders, mental health disorders, musculoskeletal disorders, sensory disorders, Guillain–Barré syndrome, and encephalitis or encephalopathy. We estimated that the hazard ratio of any neurologic sequela was 1.42 (95% confidence intervals 1.38, 1.47) and burden 70.69 (95% confidence intervals 63.54, 78.01) per 1,000 persons at 12 months. The risks and burdens were elevated even in people who did not require hospitalization during acute COVID-19. Limitations include a cohort comprising mostly White males. Taken together, our results provide evidence of increased risk of long-term neurologic disorders in people who had COVID-19.
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“There also appears to be an increased risk of MDD as well as other mental disorders121.”
From Comorbidity between major depressive disorder and physical diseases: a comprehensive review of epidemiology, mechanisms and management (2023) · cites this paper as [121]
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1 retracted
RETRACTED: 6-month consequences of COVID-19 in patients discharged from hospital: a cohort study
Huang, C., Huang, L., Wang, Y., Li, X., Ren, L., Gu, X., Kang, L., Guo, L., Liu, M., Zhou, X., et al. (2021) · The Lancet · doi:10.1016/s0140-6736(20)32656-8 · Cited by 4,084
RetractedEndothelial cell infection and endotheliitis in COVID-19
Varga, Z., Flammer, A. J., Steiger, P., Haberecker, M., Andermatt, R., Zinkernagel, A. S., Mehra, M. R., Schuepbach, R. A., Ruschitzka, F., & Moch, H. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30937-5 · Cited by 6,358
Nalbandian, A., Sehgal, K., Gupta, A., Madhavan, M. V., McGroder, C., Stevens, J. S., Cook, J. R., Nordvig, A. S., Shalev, D., Sehrawat, T. S., et al. (2021) · Nature Medicine · doi:10.1038/s41591-021-01283-z · Cited by 4,862
Persistent Symptoms in Patients After Acute COVID-19
Carfì, A., Bernabei, R., Landi, F., & for the Gemelli Against COVID-19 Post-Acute Care Study Group (2020) · JAMA · doi:10.1001/jama.2020.12603 · Cited by 4,561
Austin, P. C., & Stuart, E. A. (2015) · Statistics in Medicine · doi:10.1002/sim.6607 · Cited by 4,495
Making Neighborhood-Disadvantage Metrics Accessible — The Neighborhood Atlas
Kind, A. J. H., & Buckingham, W. R. (2018) · New England Journal of Medicine · doi:10.1056/nejmp1802313 · Cited by 3,310
Characterizing long COVID in an international cohort: 7 months of symptoms and their impact
Davis, H. E., Assaf, G. S., McCorkell, L., Wei, H., Low, R. J., Re'em, Y., Redfield, S., Austin, J. P., & Akrami, A. (2021) · eClinicalMedicine · doi:10.1016/j.eclinm.2021.101019 · Cited by 2,881
Constructing Inverse Probability Weights for Marginal Structural Models
Cole, S. R., & Hernan, M. A. (2008) · American Journal of Epidemiology · doi:10.1093/aje/kwn164 · Cited by 2,796
Taquet, M., Geddes, J. R., Husain, M., Luciano, S., & Harrison, P. J. (2021) · The Lancet Psychiatry · doi:10.1016/s2215-0366(21)00084-5 · Cited by 2,189
Long-term cardiovascular outcomes of COVID-19
Xie, Y., Xu, E., Bowe, B. C., & Al‐Aly, Z. (2022) · Nature Medicine · doi:10.1038/s41591-022-01689-3 · Cited by 2,125
Self-citation
Research works printed but not linked: 2
- Xie, Y., Xu, E., Bowe, B. & Al-Aly, Z. Long-term cardiovascular outcomes of COVID-19. Nat. Med. 28, 583–590 (2022). · DOI
- Hernán, M. A. & Robins, J. M. Causal Inference: What If (Chapman & Hall/CRC, 2020).
Cited by
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Items 101–200 of 519
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Szewczyk, W., Fitzpatrick, A. L., Fossou, H., Gentile, N. L., Sotoodehnia, N., Vora, S. B., West, T. E., Bertolli, J., Cope, J. R., Lin, J.-M. S., et al. (2024) · BMC Infectious Diseases · doi:10.1186/s12879-024-10158-w · Cited by 31
Shan, D., Wang, C., Crawford, T. J., & Holland, C. (2024) · BMC Geriatrics · doi:10.1186/s12877-024-05538-5 · Cited by 27
Ong, I. Z., Kolson, D. L., & Schindler, M. K. (2023) · Biomedicines · doi:10.3390/biomedicines11020377 · Cited by 27
Long-term neuropsychiatric sequelae of Delta versus Omicron SARS-CoV-2 infection
Wee, L. E., Lim, J. T., Tay, A. T., Pang, D., Dickens, B. S. L., Chiew, C. J., Ong, B. K. C., Lye, D. C., & Tan, K. B. (2023) · Clinical Microbiology and Infection · doi:10.1016/j.cmi.2023.12.019 · Cited by 27
Cardiovascular disease risk after a SARS-CoV-2 infection: A systematic review and meta-analysis
Starke, K. R., Kaboth, P., Rath, N. B., Reißig, D., Kämpf, D., Nienhaus, A., & Seidler, A. (2024) · Journal of Infection · doi:10.1016/j.jinf.2024.106215 · Cited by 26
Căliman-Sturdza, O. A., Gheorghita, R. E., & Lobiuc, A. (2025) · Life · doi:10.3390/life15030439 · Cited by 32
Duñabeitia, J. A., Mera, F., Baró, O., Jadad-Garcia, T., & Jadad, A. R. (2023) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph20043100 · Cited by 28
Keerthanaa, M. R., Panicker, L. R., Narayan, R. J., & Goud, K. Y. (2024) · RSC Advances · doi:10.1039/d4ra00110a · Cited by 26
Haverty, R., McCormack, J., Evans, C., Purves, K., O’Reilly, S. R., Gautier, V., Rochfort, K. D., Fabre, A., & Fletcher, N. F. (2024) · Journal of General Virology · doi:10.1099/jgv.0.002009 · Cited by 27
Contribution of CNS and extra-CNS infections to neurodegeneration: a narrative review
Kettunen, P., Koıstınaho, J., & Rõlova, T. (2024) · Journal of Neuroinflammation · doi:10.1186/s12974-024-03139-y · Cited by 30
Orchestration of antiviral responses within the infected central nervous system
Pavlou, A., Mulenge, F., Gern, O. L., Busker, L. M., Greimel, E., Waltl, I., & Kalinke, U. (2024) · Cellular and Molecular Immunology · doi:10.1038/s41423-024-01181-7 · Cited by 24
Neurological complications of COVID-19
Dai, X., Cao, X., Jiang, Q., Wu, B., Lou, T., Shao, Y., Hu, Y., & Lan, Q. (2022) · QJM · doi:10.1093/qjmed/hcac272 · Cited by 26
Wesselingh, R. (2023) · The Medical Journal of Australia · doi:10.5694/mja2.52063 · Cited by 25
Wang, J., Dai, L., Deng, M., Xiao, T., Zhang, Z., & Zhang, Z. (2023) · Molecular Neurobiology · doi:10.1007/s12035-023-03726-9 · Cited by 24
Fritsche, L. G., Jin, W., Admon, A. J., & Mukherjee, B. (2023) · Journal of Clinical Medicine · doi:10.3390/jcm12041328 · Cited by 24
Inflammatory and mental health sequelae of COVID-19
Loftis, J. M., Firsick, E. J., Shirley, K., Adkins, J. L., Le-Cook, A., Sano, E., Hudson, R., & Moorman, J. P. (2023) · Comprehensive Psychoneuroendocrinology · doi:10.1016/j.cpnec.2023.100186 · Cited by 24
Stüdle, C., Nishihara, H., Wischnewski, S., Kulsvehagen, L., Perriot, S., Ishikawa, H., Schroten, H., Frank, S., Deigendesch, N., Pasquier, R. D., et al. (2023) · Fluids and Barriers of the CNS · doi:10.1186/s12987-023-00479-4 · Cited by 24
Lee, B., Choi, H. N., Hyun, Y. S., Ko, M., Seong, H., Jo, M. G., Kim, S., Song, C., Yoon, S., Choi, J., et al. (2024) · Cell Reports Medicine · doi:10.1016/j.xcrm.2024.101570 · Cited by 24
New insights into healthy ageing, inflammageing and frailty using metabolomics
Abdullah, G. A., Akpan, A., Phelan, M. M., & Wright, H. L. (2024) · Frontiers in Aging · doi:10.3389/fragi.2024.1426436 · Cited by 22
COVID, complement, and the brain
Vlaicu, S. I., Tatomir, A., Cuevas, J., Rus, V., & Rus, H. (2023) · Frontiers in Immunology · doi:10.3389/fimmu.2023.1216457 · Cited by 23
Animal models to study the neurological manifestations of the post-COVID-19 condition
Usai, C., Mateu, L., Brander, C., Vergara‐Alert, J., & Segalés, J. (2023) · Lab Animal · doi:10.1038/s41684-023-01231-z · Cited by 22
Gandasasmita, N., Li, J., Loane, D. J., & Semple, B. D. (2023) · Journal of Neurotrauma · doi:10.1089/neu.2023.0453 · Cited by 23
Brain-wide alterations revealed by spatial transcriptomics and proteomics in COVID-19 infection
Zhang, T., Li, Y., Pan, L., Sha, J., Bailey, M., Faure-Kumar, E., Williams, C. K., Wohlschlegel, J., Magaki, S., Niu, C., et al. (2024) · Nature Aging · doi:10.1038/s43587-024-00730-z · Cited by 20
Prevalence of long COVID decreases for increasing COVID-19 vaccine uptake
Domenico, M. D. (2023) · PLOS Global Public Health · doi:10.1371/journal.pgph.0001917 · Cited by 22
Huang, Z., Haile, K., Gedefaw, L., Lau, B. W.-M., Jin, L. N., Yip, S. P., & Huang, C. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms242115738 · Cited by 20
Zhang, J., Hom, K., Zhang, C., Nasr, M., Gerzanich, V., Zhang, Y., Tang, Q., Xue, F., Simard, J. M., & Zhao, Y. (2024) · Pathogens · doi:10.3390/pathogens13010075 · Cited by 24
Neuroinvasion and neurotropism of severe acute respiratory syndrome coronavirus 2 infection
Jagst, M., Pottkämper, L., Gömer, A., Pitarokoili, K., & Steinmann, E. (2024) · Current Opinion in Microbiology · doi:10.1016/j.mib.2024.102474 · Cited by 21
Schreiber, C. S., Wiesweg, I., Stanelle‐Bertram, S., Beck, S., Kouassi, N. M., Schaumburg, B., Gabriel, G., Richter, F., & Käufer, C. (2024) · EBioMedicine · doi:10.1016/j.ebiom.2024.105191 · Cited by 21
Translating insights into therapies for Long Covid
Antar, A. A. R., & Cox, A. L. (2024) · Science Translational Medicine · doi:10.1126/scitranslmed.ado2106 · Cited by 23
Wadan, A.-H. S., & Abdellatif, M. A. (2023) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2023.1146835 · Cited by 19
Long COVID: An approach to clinical assessment and management in primary care
Perumal, R., Shunmugam, L., & Naidoo, K. (2023) · South African Family Practice · doi:10.4102/safp.v65i1.5751 · Cited by 19
Long COVID—unravelling a complex condition
Hodgson, C. L., & Broadley, T. (2023) · The Lancet Respiratory Medicine · doi:10.1016/s2213-2600(23)00232-1 · Cited by 19
Tian, L., Qiang, T., Yang, X., Yue, G., Zhai, X., Kang, K., Du, C., Lu, Q., Gao, H., Zhang, D., et al. (2023) · European Journal of Medicinal Chemistry · doi:10.1016/j.ejmech.2023.115979 · Cited by 19
Wee, L. E., Lim, J. T., Tan, J. Y. J., Malek, M. I. B. A., Chiew, C. J., Ng, L. C., Chia, P. Y., Leo, Y., Lye, D. C., & Tan, K. B. (2024) · Journal of Travel Medicine · doi:10.1093/jtm/taae081 · Cited by 19
Cai, M., Xu, E., Xie, Y., & Al‐Aly, Z. (2025) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(24)00831-4 · Cited by 17
Self-citationSystemic increase of AMPA receptors associated with cognitive impairment of long COVID
Fujimoto, Y., Abe, H., Eiro, T., Tsugawa, S., Tanaka, M., Hatano, M., Nakajima, W., Ichijo, S., Arisawa, T., Takada, Y., et al. (2025) · Brain Communications · doi:10.1093/braincomms/fcaf337 · Cited by 17
Frank, M. G., Fleshner, M., & Maier, S. F. (2023) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2023.04.009 · Cited by 19
Ley, H., Skórniewska, Z., Harrison, P. J., & Taquet, M. (2023) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2023.05.014 · Cited by 17
Cognitive and mental health outcomes in long covid
Aretouli, E., Malik, M., Widmann, C., Parker, A. M., Oh, E. S., & Vannorsdall, T. D. (2025) · BMJ · doi:10.1136/bmj-2024-081349 · Cited by 21
Alterations in microbiota of patients with COVID‐19: implications for therapeutic interventions
Qiu, Y., Mo, C., Chen, L., Ye, W., Chen, G., & Zhu, T. (2024) · MedComm · doi:10.1002/mco2.513 · Cited by 18
Chachlaki, K., Duc, K. L., Storme, L., & Prévot, V. (2024) · Journal of Neuroendocrinology · doi:10.1111/jne.13387 · Cited by 16
A murine model of post-acute neurological sequelae following SARS-CoV-2 variant infection
Singh, A., Adam, A., Aditi, A., Peng, B., Yu, X., Zou, J., Kulkarni, V. V., Kan, P. T. M., Jiang, W., Shi, P., et al. (2024) · Frontiers in Immunology · doi:10.3389/fimmu.2024.1384516 · Cited by 17
Villareal, J. A. B., Bathe, T., Hery, G. P., Phillips, J. L., Tsering, W., & Prokop, S. (2024) · Journal of Neuroinflammation · doi:10.1186/s12974-024-03196-3 · Cited by 17
Tapia, V. S., Withers, S. E., Zhou, R., Bennington, A., Hoyle, C., Hedley, F., Khouja, A. E., Luka, N., Massimo, M., Crilly, S., et al. (2025) · Disease Models & Mechanisms · doi:10.1242/dmm.052145 · Cited by 16
Grønkjær, C. S., Christensen, R. H. B., Kondziella, D., & Benros, M. E. (2023) · Nature Communications · doi:10.1038/s41467-023-39973-6 · Cited by 16
Boon, P., Lescrauwaet, E., Aleksovska, K., Konti, M., Berger, T., Leonardi, M., Marson, A. G., Kallweit, U., Moro, E., Toscano, A., et al. (2023) · European Journal of Neurology · doi:10.1111/ene.16171 · Cited by 16
Integrated multi-omics characterization across clinically relevant subgroups of long COVID
Ai, J., Guo, J., Lin, K., Cai, J., Zhang, H., Zhu, F., Sun, G., Xue, Q., Zhu, K., Yang, Y., et al. (2024) · National Science Review · doi:10.1093/nsr/nwae410 · Cited by 15
COVID-19-associated neurological and psychological manifestations
Wilson, J. E., Gurdasani, D., Helbok, R., Ozturk, S., Fraser, D. D., Filipović, S. R., Peluso, M. J., Iwasaki, A., Yasuda, C. L., Bocci, T., et al. (2025) · Nature Reviews Disease Primers · doi:10.1038/s41572-025-00674-7 · Cited by 16
Gonzalez‐Fernandez, E., & Huang, J. (2023) · Current Neurology and Neuroscience Reports · doi:10.1007/s11910-023-01286-y · Cited by 15
Ruankham, W., Songtawee, N., Prachayasittikul, V., Worachartcheewan, A., Suwanjang, W., Pingaew, R., Prachayasittikul, V., Prachayasittikul, S., & Phopin, K. (2023) · ACS Omega · doi:10.1021/acsomega.3c06764 · Cited by 15
Chang, M. H., Park, J. H., Lee, H., Choi, J. Y., & Koh, Y. H. (2024) · Biomedicines · doi:10.3390/biomedicines12061223 · Cited by 15
Shafqat, A., Masters, M. C., Tripathi, U., Tchkonia, T., Kirkland, J. L., & Hashmi, S. K. (2024) · Ageing Research Reviews · doi:10.1016/j.arr.2024.102400 · Cited by 15
Morse, B. A., Motovilov, K., Brode, W. M., Tee, F. M., & Melamed, E. (2024) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2024.10.006 · Cited by 15
de Havenon, A., Callaghan, B. C., Xu, Y., Connor, M., Hill, C. E., Ney, J. P., & Esper, G. J. (2024) · Neurology · doi:10.1212/wnl.0000000000209248 · Cited by 14
Frank, M. G., Ball, J. B., Hopkins, S., Kelley, T., Kuzma, A. J., Thompson, R. S., Fleshner, M., & Maier, S. F. (2024) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2024.07.034 · Cited by 16
Machine learning identifies long COVID patterns from electronic health records
(2023) · Nature Medicine · doi:10.1038/s41591-022-02130-5 · Cited by 14
Potential Prion Involvement in Long COVID-19 Neuropathology, Including Behavior
Stefano, G. B., Büttiker, P., Weissenberger, S., Anders, M., Raboch, J., Ptáček, R., & Kream, R. M. (2023) · Cellular and Molecular Neurobiology · doi:10.1007/s10571-023-01342-8 · Cited by 14
Temporal trend and attributable risk factors of ischemic stroke burden in China, 1990–2021
Lian, Z., Gao, Y., Xiong, J., Shen, Y., Xiong, X., & Gu, L. (2025) · BMC Neurology · doi:10.1186/s12883-025-04256-8 · Cited by 13
Gil, A. M., Correa, J. E. B., Flórez-Suárez, J. B., Fernández-Ávila, D. G., & Cucunubá, Z. M. (2025) · Seminars in Arthritis and Rheumatism · doi:10.1016/j.semarthrit.2025.152805 · Cited by 13
Volk, P., Manesh, M. R., Warren, M. E., Besko, K., de Andrade, E. G., Wicki‐Stordeur, L. E., & Swayne, L. A. (2023) · Journal of Neurochemistry · doi:10.1111/jnc.16016 · Cited by 14
A review of neuro-ophthalmic sequelae following COVID-19 infection and vaccination
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Atarashi, N., Morishita, M., & Matsuda, S. (2024) · Journal of Biological Chemistry · doi:10.1016/j.jbc.2024.105744 · Cited by 13
Guillain–Barré syndrome: immunopathogenesis and therapeutic targets
Liu, S., Zhang, W. W., Jia, L., & Zhang, H. (2024) · Expert Opinion on Therapeutic Targets · doi:10.1080/14728222.2024.2330435 · Cited by 13
Kikinis, Z., Castañeyra-Perdomo, A., González–Mora, J. L., Rushmore, J., Toppa, P. H., Haggerty, K., Papadimitriou, G., Yogesh Rathi, A., Kubicki, M. R., Kikinis, R., et al. (2024) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2024.1337888 · Cited by 13
Timofeeva, A. M., Nikitin, A. O., & Nevinsky, G. A. (2024) · Non-Coding RNA · doi:10.3390/ncrna10050048 · Cited by 13
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COVID-19: a multi-organ perspective
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Global Human Threat: The Potential Synergism between Mercury Intoxication and COVID-19
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Long-Term Consequences of COVID-19: A 1-Year Analysis
Bamps, L., Armenti, J.-P., Bojan, M., Grandbastien, B., von Garnier, C., Pasquier, R. D., Desgranges, F., Papadimitriou‐Olivgeris, M., Alberio, L., Preisig, M., et al. (2023) · Journal of Clinical Medicine · doi:10.3390/jcm12072673 · Cited by 13
COVID-19 and cognitive performance: a Mendelian randomization study
Tang, C.-M., Li, G. H., & Cheung, C. (2023) · Frontiers in Public Health · doi:10.3389/fpubh.2023.1185957 · Cited by 13
Fawcett, J., Davis, S., & Manford, M. (2023) · Journal of Neurology · doi:10.1007/s00415-023-11860-6 · Cited by 13
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Goggins, S. (2023) · Memory Studies · doi:10.1177/17506980231184563 · Cited by 12
Jimenez, W. P., Katz, I. M., & Liguori, E. A. (2022) · Occupational Health Science · doi:10.1007/s41542-022-00131-x · Cited by 12
Medium-term scenarios of COVID-19 as a function of immune uncertainties and chronic disease
Saad-Roy, C. M., Morris, S. E., Baker, R. E., Farrar, J., Graham, A. L., Levin, S. A., Wagner, C. E., Metcalf, C. J. E., & Grenfell, B. T. (2023) · Journal of The Royal Society Interface · doi:10.1098/rsif.2023.0247 · Cited by 12
Whitaker-Hardin, B., McGregor, K., Uswatte, G., & Lokken, K. (2025) · Biomedicines · doi:10.3390/biomedicines13020421 · Cited by 11
COVID-19 infection associated with increased risk of new-onset vascular dementia in adults ≥50 years
Shan, D., Xu, Y., Yang, C., Crawford, T. J., & Holland, C. (2025) · npj Dementia · doi:10.1038/s44400-025-00034-y · Cited by 12
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Long COVID and its cardiovascular implications: a call to action
Al‐Aly, Z. (2023) · European Heart Journal · doi:10.1093/eurheartj/ehad723 · Cited by 11
Self-citationIncreased frequency and mortality in persons with neurological disorders during COVID-19
Marsters, C. M., Bakal, J. A., Lam, G. Y., McAlister, F. A., & Power, C. (2024) · Brain · doi:10.1093/brain/awae117 · Cited by 10
Naiditch, H., Betts, M. R., Larman, H. B., Levi, M., & Rosenberg, A. Z. (2025) · Frontiers in Immunology · doi:10.3389/fimmu.2024.1376654 · Cited by 10
Reas, E. T., Alderson‐Myers, A., Solders, S. K., Shen, Q., Rivera, C. S., Wang, X., Stiver, J., Banks, S. J., & Graves, J. (2025) · Imaging Neuroscience · doi:10.1162/imag.a.23 · Cited by 11
Han, Y., Hao, G., Chu, G., Yang, D., Sun, S., Gong, S., Li, X., & Liang, G. (2025) · BMC Neurology · doi:10.1186/s12883-025-04331-0 · Cited by 10
COVID-19-induced neurological symptoms: focus on the role of metal ions
Zhang, Y., Ren, K., Luo, X., & Peng, J. (2023) · Inflammopharmacology · doi:10.1007/s10787-023-01176-2 · Cited by 10
Wesselingh, R., & Wesselingh, S. L. (2023) · Clinical and Experimental Ophthalmology · doi:10.1111/ceo.14221 · Cited by 10
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Metadata
- Authors
- Xu, E., Xie, Y., & Al-Aly, Z.
- Affiliations
- VA St. Louis Health Care System (US)
- Venue
- Nature Medicine
- Published
- 2022-09-22
- Volume
- 28
- Issue
- 11
- Pages
- 2406-2415
- ISSN
- 1078-8956 (ISSN-L)
- 1546-170X
- PMC
- PMC9671811
- OpenAlex
- W4296806570
- Cited by
- 530
- References
- 54
- Citations by year
- 2026: 61 · 2025: 107 · 2024: 168 · 2023: 166 · 2022: 27
- FWCI
- 61.58
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Nature Medicine (publishedVersion, cc-by)
- Research Square (acceptedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Digital Commons@Becker (Washington University School of Medicine) (submittedVersion, cc-by)
- Funders
- U.S. Department of Veterans Affairs
- American Society of Nephrology
- Topics
- Health Sciences › Medicine › Clinical Neurology › Long-Term Effects of COVID-19
- Health Sciences › Medicine › Infectious Diseases › COVID-19 Clinical Research Studies
- Health Sciences › Medicine › Infectious Diseases › Infectious Encephalopathies and Encephalitis
- Keywords
- COVID-19 pandemic, SARS-CoV-2, long-term neurologic outcome, stroke, cognitive impairment, Guillain-Barré syndrome, encephalitis, migraine, seizures, movement disorders, mental illness, peripheral nerve disorders, veterans
- MeSH terms
- COVID-19, SARS-CoV-2, Brain Diseases, Humans, Male, Nervous System Diseases, Guillain-Barre Syndrome
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