The DOI matches its Crossref record; 59 of the 59 references it cites were found in a registry or an index.
A systematic review and meta-analysis of geographic differences in comorbidities and associated severity and mortality among individuals with COVID-19
Open accessAbstract
Several comorbidities have been shown to be associated with coronavirus disease 2019 (COVID-19) related severity and mortality. However, considerable variation in the prevalence estimates of comorbidities and their effects on COVID-19 morbidity and mortality have been observed in prior studies. This systematic review and meta-analysis aimed to determine geographical, age, and gender related differences in the prevalence of comorbidities and associated severity and mortality rates among COVID-19 patients. We conducted a search using PubMed, Scopus, and EMBASE to include all COVID-19 studies published between January 1st, 2020 to July 24th, 2020 reporting comorbidities with severity or mortality. We included studies reporting the confirmed diagnosis of COVID-19 on human patients that also provided information on comorbidities or disease outcomes. We used DerSimonian and Laird random effects method for calculating estimates. Of 120 studies with 125,446 patients, the most prevalent comorbidity was hypertension (32%), obesity (25%), diabetes (18%), and cardiovascular disease (16%) while chronic kidney or other renal diseases (51%, 44%), cerebrovascular accident (43%, 44%), and cardiovascular disease (44%, 40%) patients had more COVID-19 severity and mortality respectively. Considerable variation in the prevalence of comorbidities and associated disease severity and mortality in different geographic regions was observed. The highest mortality was observed in studies with Latin American and European patients with any medical condition, mostly older adults (≥ 65 years), and predominantly male patients. Although the US studies observed the highest prevalence of comorbidities in COVID-19 patients, the severity of COVID-19 among each comorbid condition was highest in Asian studies whereas the mortality was highest in the European and Latin American countries. Risk stratification and effective control strategies for the COVID-19 should be done according to comorbidities, age, and gender differences specific to geographical location.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Figures
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Preferred Reporting Items for Systematic Reviews and Meta-Analyses: the PRISMA statement
Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & for the PRISMA Group (2009) · BMJ · doi:10.1136/bmj.b2535 · Cited by 83,823
Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement
Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & The PRISMA Group (2009) · PLoS Medicine · doi:10.1371/journal.pmed.1000097 · Cited by 64,042
Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement.
(2009) · PubMed Central · Cited by 44,859
Meta-analysis in clinical trials
DerSimonian, R., & Laird, N. (1986) · Controlled Clinical Trials · doi:10.1016/0197-2456(86)90046-2 · Cited by 39,552
Wang, G., Ma, R., Qiao, G., Wada, K., Aizawa, Y., & Satoh, T. (2015) · Integrative Medicine International · doi:10.1159/000368408 · Cited by 18,762
Yang, X., Yu, Y., Xu, J., Shu, H., Xia, J., Liu, H., Wu, Y., Zhang, L., Yu, Z., Fang, M., et al. (2020) · The Lancet Respiratory Medicine · doi:10.1016/s2213-2600(20)30079-5 · Cited by 10,066
Wu, C., Chen, X., Cai, Y., Xia, J., Zhou, X., Xu, S., Huang, H., Zhang, L., Zhou, X., Du, C., et al. (2020) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2020.0994 · Cited by 8,249
Slim, K., Nini, E., Forestier, D., Kwiatkowski, F., Panis, Y., & Chipponi, J. (2003) · ANZ Journal of Surgery · doi:10.1046/j.1445-2197.2003.02748.x · Cited by 7,603
Sex differences in immune responses
Klein, S. L., & Flanagan, K. L. (2016) · Nature Reviews Immunology · doi:10.1038/nri.2016.90 · Cited by 6,370
Ruan, Q., Yang, K., Wang, W., Jiang, L., & Song, J. (2020) · Intensive Care Medicine · doi:10.1007/s00134-020-05991-x · Cited by 4,898
Cited by
Sorted by citations
Oral Nirmatrelvir for High-Risk, Nonhospitalized Adults with Covid-19
Hammond, J., Leister-Tebbe, H., Gardner, A., Abreu, P., Bao, W., Wisemandle, W., Baniecki, M., Hendrick, V. M., Damle, B., Simón-Campos, A., et al. (2022) · New England Journal of Medicine · doi:10.1056/nejmoa2118542 · Cited by 2,323
The Lancet Commission on lessons for the future from the COVID-19 pandemic
Sachs, J. D., Karim, S. S. A., Aknin, L., Allen, J., Brosbøl, K., Colombo, F., Barron, G. C., Espinosa, M. F., Gaspar, V., Gaviria, A., et al. (2022) · The Lancet · doi:10.1016/s0140-6736(22)01585-9 · Cited by 842
Life expectancy changes since COVID-19
Schöley, J., Aburto, J. M., Kashnitsky, I., Kniffka, M. S., Zhang, L., Jaadla, H., Dowd, J. B., & Kashyap, R. (2022) · Nature Human Behaviour · doi:10.1038/s41562-022-01450-3 · Cited by 282
COVID-19 and metabolic disease: mechanisms and clinical management
Steenblock, C., Schwarz, P. E. H., Ludwig, B., Linkermann, A., Zimmet, P., Kulebyakin, K. Y., Va, T., Markov, A. G., Lehnert, H., de Angelis, M. H., et al. (2021) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(21)00244-8 · Cited by 256
Mahamat‐Saleh, Y., Fiolet, T., Rebeaud, M. E., Mulot, M., Guihur, A., Fatouhi, D. E., Laouali, N., Peiffer‐Smadja, N., Aune, D., & Severi, G. (2021) · BMJ Open · doi:10.1136/bmjopen-2021-052777 · Cited by 205
Nirmatrelvir for Vaccinated or Unvaccinated Adult Outpatients with Covid-19
Hammond, J., Fountaine, R. J., Yunis, C., Fleishaker, D. L., Almas, M., Bao, W., Wisemandle, W., Baniecki, M. L., Hendrick, V. M., Kalfov, V., et al. (2024) · New England Journal of Medicine · doi:10.1056/nejmoa2309003 · Cited by 138
Hypertension and COVID-19: Current Evidence and Perspectives
Gallo, G., Calvez, V., & Savoia, C. (2022) · High Blood Pressure & Cardiovascular Prevention · doi:10.1007/s40292-022-00506-9 · Cited by 153
A case‐control study on the association between periodontitis and coronavirus disease (COVID‐19)
Anand, P. S., Jadhav, P., Kamath, K. P., Kumar, S. R., Vijayalaxmi, S., & Anil, S. (2022) · Journal of Periodontology · doi:10.1002/jper.21-0272 · Cited by 126
Alam, M. S., & Czajkowsky, D. M. (2021) · Cytokine & Growth Factor Reviews · doi:10.1016/j.cytogfr.2021.11.001 · Cited by 111
The Epidemiology of Long Coronavirus Disease in US Adults
Robertson, M. M., Qasmieh, S. A., Kulkarni, S., Teasdale, C. A., Jones, H. E., McNairy, M. L., Borrell, L. N., & Nash, D. (2022) · Clinical Infectious Diseases · doi:10.1093/cid/ciac961 · Cited by 104
Toussi, S. S., Neutel, J. M., Navarro, J., Preston, R. A., Shi, H., Kavetska, O., LaBadie, R. R., Binks, M. H., Chan, P. L., Demers, N., et al. (2022) · Clinical Pharmacology & Therapeutics · doi:10.1002/cpt.2688 · Cited by 65
Chiricosta, L., Gugliandolo, A., & Mazzon, E. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms222413603 · Cited by 59
A Review of Human Coronaviruses’ Receptors: The Host-Cell Targets for the Crown Bearing Viruses
Nassar, A. M., Ibrahim, I. M., Amin, F. G., Magdy, M., Elgharib, A. M., Azzam, E. B., Nasser, F., Yousry, K., Shamkh, I. M., Mahdy, S. M., et al. (2021) · Molecules · doi:10.3390/molecules26216455 · Cited by 59
Adepoju, O. E., Han, D., Chae, M., Smith, K. L., Gilbert, L., Choudhury, S., & Woodard, L. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19010035 · Cited by 56
Comorbidity-associated glutamine deficiency is a predisposition to severe COVID-19
Matsuyama, T., Yoshinaga, S. K., Shibue, K., & Mak, T. W. (2021) · Cell Death and Differentiation · doi:10.1038/s41418-021-00892-y · Cited by 54
Miguel, A. G., Bliek-Bueno, K., Poblador‐Plou, B., Carmona‐Pírez, J., Poncel-Falcó, A., González‐Rubio, F., Ioakeim‐Skoufa, I., Pico-Soler, V., Aza‐Pascual‐Salcedo, M., Prados‐Torres, A., et al. (2021) · PLoS ONE · doi:10.1371/journal.pone.0259822 · Cited by 56
A phase 2/3 study of S-217622 in participants with SARS-CoV-2 infection (Phase 3 part)
Yotsuyanagi, H., Ohmagari, N., Doi, Y., Imamura, T., Sonoyama, T., Ichihashi, G., Sanaki, T., Tsuge, Y., Uehara, T., & Mukae, H. (2023) · Medicine · doi:10.1097/md.0000000000033024 · Cited by 48
Mason, K., McHale, P., Pennington, A., Maudsley, G., Day, J., & Barr, B. (2021) · Frontiers in Public Health · doi:10.3389/fpubh.2021.584182 · Cited by 43
Allergic Rhinitis: What Do We Know About Allergen-Specific Immunotherapy?
Boonpiyathad, T., Lao‐Araya, M., Chiewchalermsri, C., Sangkanjanavanich, S., & Morita, H. (2021) · Frontiers in Allergy · doi:10.3389/falgy.2021.747323 · Cited by 41
Yin, X., Zhu, W., Tang, X., Yang, G., Zhao, X., Zhao, K., Jiang, L., Li, X., Zhao, H., Wang, X., et al. (2024) · BMC Cancer · doi:10.1186/s12885-024-12228-3 · Cited by 41
Oral Nirmatrelvir–Ritonavir as Postexposure Prophylaxis for Covid-19
Hammond, J., Yunis, C., Fountaine, R. J., Luscan, G., Burr, A. M., Zhang, W., Wisemandle, W., Soares, H. D., Baniecki, M. L., Hendrick, V. M., et al. (2024) · New England Journal of Medicine · doi:10.1056/nejmoa2309002 · Cited by 40
El impacto de la pandemia de COVID-19 sobre la salud. Informe SESPAS 2022
Torres-Cantero, A. M., León, E. E. Á., Morán‐Sánchez, I., Campillo, I. S. L., Bernal, E., Pereña, M. H., & Martínez-Morata, I. (2022) · Gaceta Sanitaria · doi:10.1016/j.gaceta.2022.02.008 · Cited by 48
Guida, J. P. D. S., Cecatti, J. G., Souza, R. T., Pacagnella, R. C., Ribeiro-do-Valle, C. C., Luz, A. G., Lajos, G. J., Surita, F. G., Nobrega, G. D. M., Griggio, T. B., et al. (2022) · Pregnancy Hypertension · doi:10.1016/j.preghy.2022.05.005 · Cited by 35
COVID-19 in Latin America: A Snapshot in Time and the Road Ahead
LaRotta, J., Escobar, O., Avila-Aguero, M. L., Torres, J. P., de Almeida, R. S., Morales, G. D. C., & Srivastava, A. K. (2023) · Infectious Diseases and Therapy · doi:10.1007/s40121-022-00748-z · Cited by 43
Self-citationChen, J., Kuo, G. C., Lee, T. H., Yang, H., Wu, H. H., Tu, K., & Tian, Y.-C. (2021) · Journal of Clinical Medicine · doi:10.3390/jcm10215162 · Cited by 33
Li, H., Gao, M., You, H., Zhang, P., Pan, Y., Li, N., Qin, L., Wang, H., Li, D., Li, Y., et al. (2022) · Clinical Infectious Diseases · doi:10.1093/cid/ciac600 · Cited by 33
Age-related differences in immune dynamics during SARS-CoV-2 infection in rhesus macaques
Speranza, E. E., Purushotham, J. N., Port, J. R., Schwarz, B. H., Flagg, M., Williamson, B. N., Feldmann, F., Singh, M., Pérez-Pérez, L., Sturdevant, G. L., et al. (2022) · Life Science Alliance · doi:10.26508/lsa.202101314 · Cited by 29
Editorial: Obesity, metabolic phenotypes and COVID-19
Sanoudou, D., Hill, M. A., Belanger, M. J., Arao, K., & Mantzoros, C. S. (2022) · Metabolism · doi:10.1016/j.metabol.2021.155121 · Cited by 30
Velásquez-Garcia, L., Mejia‐Sanjuanelo, A. M., Viasus, D., & Carratalà, J. (2022) · Biomedicines · doi:10.3390/biomedicines10061226 · Cited by 29
Risk Factors for COVID-19 Morbidity and Mortality in Institutionalised Elderly People
Agoües, A. B., Gallego, M. S., Resa, R. H., Llorente, B. J., Arabi, M. L., Rodriguez, J. O., Acebal, H. P., Hernández, M. C., Ayala, I. C., Calero, P. P., et al. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph181910221 · Cited by 27
Chaudhary, V., Bhadola, P., Kaushik, A. K., Khalid, M., Furukawa, H., & Khosla, A. (2022) · Scientific Reports · doi:10.1038/s41598-022-16781-4 · Cited by 27
Naidu, A. S., Wang, C., Rao, P., Mancini, F., Clemens, R., Wirakartakusumah, A., Chiu, H., Yen, C., Porretta, S., Mathai, I., et al. (2024) · npj Science of Food · doi:10.1038/s41538-024-00261-2 · Cited by 32
Tsang, R. S. M., Joy, M., Whitaker, H., Sheppard, J. P., Williams, J., Sherlock, J., Mayor, N., Meza-Torres, B., Button, E., Williams, A., et al. (2023) · British Journal of General Practice · doi:10.3399/bjgp.2022.0235 · Cited by 26
Lidin, M., Lyngå, P., Westerdahl, A. K., & Nymark, C. (2021) · European Journal of Cardiovascular Nursing · doi:10.1093/eurjcn/zvab087 · Cited by 23
Gomes, D., Beyerlein, A., Katz, K., Hoelscher, G., Nennstiel, U., Liebl, B., Überla, K., & von Kries, R. (2021) · PLoS ONE · doi:10.1371/journal.pone.0259370 · Cited by 22
Barzegar, M., Mirmosayyeb, O., Ebrahimi, N., Bagherieh, S., Afshari-Safavi, A., Hosseinabadi, A. M., Shaygannejad, V., & Asgari, N. (2021) · Multiple Sclerosis and Related Disorders · doi:10.1016/j.msard.2021.103359 · Cited by 22
The role of kidney dysfunction in COVID-19 and the influence of age
Porta, E. L., Baiardi, P., Fassina, L., Faragli, A., Perna, S., Tovagliari, F., Tallone, I., Talamo, G., Secondo, G., Mazzarello, G., et al. (2022) · Scientific Reports · doi:10.1038/s41598-022-12652-0 · Cited by 22
Aboras, S. I., & Maher, H. M. (2023) · BMC Chemistry · doi:10.1186/s13065-023-00928-z · Cited by 22
Shinjo, S. K., de Souza, F. H. C., Borges, I. B. P., dos Santos, A. M., Miossi, R., Missé, R. G., Ribeiro, A. C. D. M., Saad, C. G. S., Yuki, E. F. N., Pasoto, S. G., et al. (2021) · Lara D. Veeken · doi:10.1093/rheumatology/keab773 · Cited by 21
Barthel’s Index: A Better Predictor for COVID-19 Mortality Than Comorbidities
da Costa, J. C., Manso, M. C., Gregório, S. R. F., Leite, M., & Moreira-Pinto, J. (2022) · Tuberculosis & respiratory diseases · doi:10.4046/trd.2022.0006 · Cited by 21
Pelisek, J., Reutersberg, B., Greber, U. F., & Zimmermann, A. (2022) · Clinical Science · doi:10.1042/cs20220235 · Cited by 23
Role of T Regulatory Cells and Myeloid-Derived Suppressor Cells in COVID-19
Alsalman, A., Al-Mterin, M. A., & Elkord, E. (2022) · Journal of Immunology Research · doi:10.1155/2022/5545319 · Cited by 22
Larsen, C. S. (2022) · International Journal of Infectious Diseases · doi:10.1016/j.ijid.2022.06.059 · Cited by 19
Elbordiny, H. S., Alzoman, N. Z., Maher, H. M., & Aboras, S. I. (2023) · RSC Advances · doi:10.1039/d3ra04186g · Cited by 22
Subclinical Acute Kidney Injury in COVID-19: Possible Mechanisms and Future Perspectives
Silva-Aguiar, R. P., Teixeira¹, D. E., Peres, R. A. S., Peruchetti, D. B., Gomes, C. P., Schmaier, A. H., Rocco, P. R. M., Pinheiro, A. A. S., & Caruso‐Neves, C. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms232214193 · Cited by 18
Ratshikhopha, E. M., Muvhali, M., Naicker, N., Tlotleng, N., Jassat, W., & Singh, T. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19095519 · Cited by 18
Aykaç, N., & Etiler, N. (2021) · Environmental Science and Pollution Research · doi:10.1007/s11356-021-16624-1 · Cited by 17
Lazcano, U., Cuadrado‐Godia, E., Grau, M., Subirana, I., Martínez-Carbonell, E., Boher-Massaguer, M., Rodríguez-Campello, A., Steinhauer, E. G., Pérez, I. F., Jiménez-Conde, J., et al. (2021) · Stroke · doi:10.1161/strokeaha.121.036257 · Cited by 17
Evaluating Possible Mechanisms Linking Obesity to COVID-19: a Narrative Review
Vasheghani, M., Hessami, Z., Rekabi, M., Abedini, A., & Qanavati, A. (2022) · Obesity Surgery · doi:10.1007/s11695-022-05933-0 · Cited by 17
The oldest unvaccinated Covid-19 survivors in South America
de Castro, M. V., Silva, M. V. R., Naslavsky, M. S., Scliar, M. O., Nunes, K., Passos‐Bueno, M. R., Castelli, E. C., Magawa, J. Y., Adami, F. L., Moretti, A. I. S., et al. (2022) · Immunity & Ageing · doi:10.1186/s12979-022-00310-y · Cited by 18
Jürisson, M., Pisarev, H., Uusküla, A., Lang, K., Oona, M., & Kalda, R. (2021) · BMJ Open · doi:10.1136/bmjopen-2021-049045 · Cited by 17
Obesity during COVID-19: An underrated pandemic?
Grosso, G. (2021) · EClinicalMedicine · doi:10.1016/j.eclinm.2021.101062 · Cited by 16
Modenese, A., Casolari, L., Rossi, G., Vecchia, E. D., Glieca, F., D’Elia, C., Garavini, D., Righi, E., Mariani, S., Venturelli, L., et al. (2021) · Healthcare · doi:10.3390/healthcare9111495 · Cited by 16
Omit, S. B. S., Akhter, S., Rana, H. K., Hasan, M., Podder, N. K., Rakib, M. I., & Nobi, A. (2023) · BioMed Research International · doi:10.1155/2023/6996307 · Cited by 16
The deadly impact of COVID-19 among children from Latin America: The case of Ecuador
Ortiz‐Prado, E., Izquierdo‐Condoy, J. S., Fernández-Naranjo, R., Vásconez-González, J., Rosero, M. G. D., Revelo-Bastidas, D., Herrería-Quiñonez, D., & Rubio-Neira, M. (2023) · Frontiers in Pediatrics · doi:10.3389/fped.2023.1060311 · Cited by 15
COVID-19 Pandemic: Insights into Interactions between SARS-CoV-2 Infection and MAFLD
Chen, H., & Chen, Q. (2022) · International Journal of Biological Sciences · doi:10.7150/ijbs.72461 · Cited by 16
Association between Periodontitis and COVID-19 Based on Severity Scores of HRCT Chest Scans
Mishra, S., Gupta, V., Rahman, W., Gazala, M. P., & Anil, S. (2022) · Dentistry Journal · doi:10.3390/dj10060106 · Cited by 15
Karagiannidis, A. G., Theodorakopoulou, M. P., Ferro, C. J., Ortíz, A., Soler, M. J., Halimi, J., Januszewicz, A., Persu, A., Kreutz, R. H., & Sarafidis, P. A. (2022) · Clinical Kidney Journal · doi:10.1093/ckj/sfac235 · Cited by 15
N’dilimabaka, N., Mounguegui, D. M., Lekana-Douki, S. E., Yattara, M. K., Obame‐Nkoghe, J., Longo-Pendy, N. M., Koumba, I. P. K., Mve-Ella, O. B., Moukouama, S. E. K., Dzembo, C., et al. (2022) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2022.975712 · Cited by 16
Comorbidities predict 30-day hospital mortality of older adults with COVID-19
Pott, H., & Cominetti, M. R. (2021) · Geriatric Nursing · doi:10.1016/j.gerinurse.2021.06.011 · Cited by 15
Predictors of Mortality Among Hospitalized COVID-19 Patients at a Tertiary Care Hospital in Ethiopia
Ayana, G. M., Merga, B. T., Birhanu, A., Alemu, A., Negash, B., & Dessie, Y. (2021) · Infection and Drug Resistance · doi:10.2147/idr.s337699 · Cited by 15
Mohanty, R. R., Padhy, B. M., & Meher, B. R. (2022) · Journal of Pharmacy & Pharmaceutical Sciences · doi:10.18433/jpps32430 · Cited by 14
Racial and Ethnic Differences in Hospital Admissions of Emergency Department COVID-19 Patients
Longcoy, J., Patwari, R., Hasler, S., Johnson, T., Avery, E., Stefanini, K., Suzuki, S., Ansell, D., & Lynch, E. (2022) · Medical Care · doi:10.1097/mlr.0000000000001710 · Cited by 14
Ritonavir: 25 Years’ Experience of Concomitant Medication Management. A Narrative Review
Quercia, R., Perri, G. D., Pein, C., Bodie, J., Singh, R. S. P., Hendrick, V., & Boffito, M. (2024) · Infectious Diseases and Therapy · doi:10.1007/s40121-024-00959-6 · Cited by 14
Correlating COVID-19 severity with biomarker profiles and patient prognosis
Danielle, R. C. S., Débora, D. M., Alessandra, N. L. P., Alexia, S. S. Z., Débora, M. C. R., Elizabel, N. V., Felipe, A., Giacinti, G. M., Henrique, P., Karen, R., et al. (2024) · Scientific Reports · doi:10.1038/s41598-024-71951-w · Cited by 14
Challenges in the Management of Post-COVID-19 Pulmonary Fibrosis for the Latin American Population
Chérrez-Ojeda, I., Cortés-Telles, A., Gochicoa‐Rangel, L., Camacho-Leon, G., Mautong, H., Robles‐Velasco, K., & Faytong‐Haro, M. (2022) · Journal of Personalized Medicine · doi:10.3390/jpm12091393 · Cited by 15
Cox, D. S., Eyck, L. V., Pawlak, S., Beckerman, B., Linn, C., Ginman, K., Thay, Y., LaBadie, R. R., Shi, H., & Damle, B. D. (2023) · British Journal of Clinical Pharmacology · doi:10.1111/bcp.15788 · Cited by 14
Malheiro, D. T., Bernardez‐Pereira, S., Parreira, K. C. J., Pagliuso, J. G. D., Gomes, E. D. P., Escobosa, D. D. M., Ivo, C., Pimenta, B. S., Lin, V., de Almeida, S. M., et al. (2024) · Frontiers in Public Health · doi:10.3389/fpubh.2023.1302669 · Cited by 13
COVID-19 triggers attacks in HAE patients without worsening disease outcome
Olivares, M. M., Zwiener, R. D., Leiva, L. M., Verduzco, F. A. C., Mansour, E., Rodríguez, J. A., Valle, S. O. R., Nieto-Martinez, S. A., da Silva, J., Vázquez, D., et al. (2021) · The Journal of Allergy and Clinical Immunology In Practice · doi:10.1016/j.jaip.2021.12.008 · Cited by 14
Anand, M., Danumjaya, P., & Rao, P. R. S. (2023) · Mathematics and Computers in Simulation · doi:10.1016/j.matcom.2023.03.016 · Cited by 13
Alfadda, A. A., Alkhowaiter, M., Alotaibi, N. H., Alayed, K. M., Alzahrani, M. F., Binkhamis, K. M., Siddiqui, K., Youssef, A. M., Altalhi, H., AlMaghlouth, I. A., et al. (2021) · Journal of Infection and Public Health · doi:10.1016/j.jiph.2021.09.014 · Cited by 13
Kurano, M., Ohmiya, H., Kishi, Y., Okada, J., Nakano, Y., Yokoyama, R., Qian, C., Xia, F., He, F., Zheng, L., et al. (2022) · Frontiers in Immunology · doi:10.3389/fimmu.2022.811952 · Cited by 13
Malnutrition management of hospitalized patients with diabetes/hyperglycemia and COVID-19 infection
Burgos, R., García‐Almeida, J. M., Matía-Martín, P., Palma, S., Sanz‐París, A., Zugasti, A., Martínez, J. J. A., Fullana, A. A., Continente, A. J. C., Chinchetru, M. A. J., et al. (2022) · Reviews in Endocrine and Metabolic Disorders · doi:10.1007/s11154-022-09714-z · Cited by 17
Granström, J., Lantz, P., Lidin, M., Wahlström, M., & Nymark, C. (2022) · European Journal of Cardiovascular Nursing · doi:10.1093/eurjcn/zvac021 · Cited by 13
Farrell, E., Hollmann, E., le Roux, C. W., Nadglowski, J. F., & McGillicuddy, D. (2022) · EClinicalMedicine · doi:10.1016/j.eclinm.2022.101568 · Cited by 13
Obesity and COVID-19 Pandemics: Epidemiology, Mechanisms, and Management
Yang, Y., Song, Y., & Hou, D. (2023) · Diabetes Metabolic Syndrome and Obesity · doi:10.2147/dmso.s441762 · Cited by 12
Liver injury in COVID-19: an insight into pathobiology and roles of risk factors
Tazarghi, A., Bazoq, S., Taziki, M. H., Ebrahimi, M., Hosseini, S. M., & Nikoo, H. R. (2024) · Virology Journal · doi:10.1186/s12985-024-02332-y · Cited by 12
Biosynthetic potential of the gut microbiome in longevous populations
Liu, S., Zhang, Z., Wang, X., Ma, Y., Ruan, H., Wu, X., Li, B., Mou, X., Chen, T., Lu, Z., et al. (2024) · Gut Microbes · doi:10.1080/19490976.2024.2426623 · Cited by 12
Men are the main COVID-19 transmitters: behavior or biology?
Silva, M. V. R., de Castro, M. V., Passos‐Bueno, M. R., Otto, P. A., Naslavsky, M. S., & Zatz, M. (2022) · Discover Mental Health · doi:10.1007/s44192-022-00004-3 · Cited by 12
Escelsior, A., Amadeo, M. B., Esposito, D., Rosina, A., Trabucco, A., Inuggi, A., da Silva, B. P., Serafini, G., Gori, M., & Amore, M. (2022) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2022.932791 · Cited by 12
Brown, S. M., Katz, M. J., Ginde, A. A., Juneja, K., Ramchandani, M., Schiffer, J. T., Vaca, C., Gottlieb, R., Tian, Y., Elboudwarej, E., et al. (2023) · Infectious Diseases and Therapy · doi:10.1007/s40121-023-00789-y · Cited by 12
Khare, K., & Pandey, R. (2022) · Frontiers in Immunology · doi:10.3389/fimmu.2022.973070 · Cited by 15
Correlation between COVID-19 severity and previous exposure of patients to Borrelia spp.
Szewczyk-Dąbrowska, A., Budziar, W., Harhala, M. A., Baniecki, K., Pikies, A., Jędruchniewicz, N., Kaźmierczak, Z. M., Gembara, K., Klimek, T., Witkiewicz, W., et al. (2022) · Scientific Reports · doi:10.1038/s41598-022-20202-x · Cited by 11
Valero-Bover, D., Monterde, D., Carot-Sans, G., Cainzos‐Achirica, M., Colet, J. C., Vela, E., Clèries, M., Folguera-Profitós, J., Abilleira, S., Arrufat, M., et al. (2023) · Clinical Epidemiology · doi:10.2147/clep.s408510 · Cited by 11
Kubiliute, I., Vitkauskaitė, M., Urbonienė, J., Svetikas, L., Zablockienė, B., & Jančorienė, L. (2023) · PLoS ONE · doi:10.1371/journal.pone.0290656 · Cited by 11
Bellocchio, F., Carioni, P., Lonati, C., Garbelli, M., Martínez-Martínez, F. J., Stuard, S., & Neri, L. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18189739 · Cited by 11
Zaharuddin, Z., Hussin, N. S. M., & Karuppannan, M. (2024) · Scientific Reports · doi:10.1038/s41598-024-75192-9 · Cited by 11
Roles of Interleukin-17 and Th17 Responses in COVID-19
Kang, Y. W., Lee, S. C., Jeon, S., & Jo, E. (2021) · Journal of Bacteriology and Virology · doi:10.4167/jbv.2021.51.3.089 · Cited by 11
The 90 plus: longevity and COVID-19 survival
Zatz, M., Silva, M. V. R., de Castro, M. V., & Naslavsky, M. S. (2022) · Molecular Psychiatry · doi:10.1038/s41380-022-01461-6 · Cited by 10
Processing of nanocellulose sheet for capturing fine particulate matter
Gulipalli, P., Borle, S., Chivukula, K., & Adusumalli, R. B. (2022) · Materials Today Proceedings · doi:10.1016/j.matpr.2022.08.189 · Cited by 10
Smell deficits in COVID-19 and possible links with Parkinson's disease
Emmi, A., Sandre, M., Porzionato, A., & Antonini, A. (2022) · International review of neurobiology · doi:10.1016/bs.irn.2022.08.001 · Cited by 9
Spatial Risk Factors for Pillar 1 COVID‐19 Excess Cases and Mortality in Rural Eastern England, UK
Brainard, J. S., Rushton, S., Winters, T., & Hunter, P. R. (2021) · Risk Analysis · doi:10.1111/risa.13835 · Cited by 10
Severe and critical COVID-19 in a tertiary center in Colombia, a retrospective cross-sectional study
Ramos, D. A., Rueda, D. L. R., Quintero, E. V. R., Gómez, J. C. O., & Cortés-Bonilla, I. (2022) · BMC Infectious Diseases · doi:10.1186/s12879-022-07246-0 · Cited by 10
Obesity and coronavirus disease 2019
Fei, S., Feng, X., Luo, J., Guo, L., & Pan, Q. (2022) · Journal of Translational Internal Medicine · doi:10.2478/jtim-2022-0020 · Cited by 11
A high CMV-specific T cell response associates with SARS-CoV-2-specific IL-17 T cell production
Frozza, F. T. B., Fazolo, T., de Souza, P. O., Lima, K. R., da Fontoura, J. C., Borba, T. S., Polese-Bonatto, M., Kern, L. B., Stein, R. T., Pawelec, G., et al. (2022) · Medical Microbiology and Immunology · doi:10.1007/s00430-022-00758-1 · Cited by 11
Ouyang, J., Zaongo, S. D., Harypursat, V., Li, X., Routy, J., & Chen, Y. (2022) · Frontiers in Public Health · doi:10.3389/fpubh.2022.945448 · Cited by 11
Zhou, J., Zhang, H., Chen, H., Zhang, G., Mao, J., Zhang, T., Tang, Y., Yan, W., Li, C., Ding, Y., et al. (2024) · Antimicrobial Agents and Chemotherapy · doi:10.1128/aac.00539-24 · Cited by 10
Systems analysis of human innate immunity in COVID-19
Müller, S. M., & Schultze, J. L. (2023) · Seminars in Immunology · doi:10.1016/j.smim.2023.101778 · Cited by 9
Valladales‐Restrepo, L. F., Giraldo-Correa, J. A., Aristizábal-Carmona, B. S., Constain‐Mosquera, C. A., Sabogal-Ortiz, A., & Machado‐Alba, J. E. (2022) · Antibiotics · doi:10.3390/antibiotics11030333 · Cited by 9
Body Mass Index and Risk for COVID-19-Related Hospitalization in Adults Aged 50 and Older in Europe
Ohno, M., & Dzúrová, D. (2022) · Nutrients · doi:10.3390/nu14194001 · Cited by 9
Metadata
- Authors
- Thakur, B., Dubey, P., Benitez, J., Torres, J. P., Reddy, S., Shokar, N., Aung, K., Mukherjee, D., & Dwivedi, A. K.
- Affiliations
- Texas Tech University Health Sciences Center (US)
- Texas Tech University (US)
- Corresponding author
- Dwivedi, Alok Kumar
- ORCID
- Venue
- Scientific Reports
- Published
- 2021-04-20
- Volume
- 11
- Issue
- 1
- Pages
- 8562-8562
- ISSN
- 2045-2322 (ISSN-L)
- PMC
- PMC8058064
- OpenAlex
- W3152572687
- Cited by
- 284
- References
- 59
- Citations by year
- 2026: 11 · 2025: 17 · 2024: 53 · 2023: 66 · 2022: 95 · 2021: 41
- FWCI
- 7.45
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Scientific Reports (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Health Sciences › Medicine › Infectious Diseases › COVID-19 Clinical Research Studies
- Physical Sciences › Mathematics › Modeling and Simulation › COVID-19 epidemiological studies
- Health Sciences › Medicine › Clinical Neurology › Long-Term Effects of COVID-19
- Keywords
- COVID-19 pandemic, comorbidities, disease severity, mortality, regional variation, hypertension, obesity, diabetes mellitus, cardiovascular disease, chronic kidney disease, cerebrovascular disease, age differences, sex differences, risk stratification
- MeSH terms
- COVID-19, Age Factors, Aged, Aged, 80 and over, Asia, Europe, Female, Humans, Latin America, Male, Severity of Illness Index, Sex Factors, Comorbidity, Prevalence
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
