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For: DeBoer MD, Gurka MJ, Woo JG, Morrison JA. Severity of the metabolic syndrome as a predictor of type 2 diabetes between childhood and adulthood: the Princeton Lipid Research Cohort Study. Diabetologia. 2015;58:2745-2752. [PMID: 26380985 DOI: 10.1007/s00125-015-3759-5] [Cited by in Crossref: 55] [Cited by in F6Publishing: 51] [Article Influence: 9.2] [Reference Citation Analysis]
Number Citing Articles
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4 DeBoer MD, Filipp SL, Gurka MJ. Associations of a metabolic syndrome severity score with coronary heart disease and diabetes in fasting vs. non-fasting individuals. Nutr Metab Cardiovasc Dis 2020;30:92-8. [PMID: 31662283 DOI: 10.1016/j.numecd.2019.08.010] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
5 Ramírez-Vélez R, Pérez-Sousa MÁ, Izquierdo M, Cano-Gutierrez CA, González-Jiménez E, Schmidt-RioValle J, González-Ruíz K, Correa-Rodríguez M. Validation of Surrogate Anthropometric Indices in Older Adults: What Is the Best Indicator of High Cardiometabolic Risk Factor Clustering? Nutrients 2019;11:E1701. [PMID: 31344803 DOI: 10.3390/nu11081701] [Cited by in Crossref: 13] [Cited by in F6Publishing: 9] [Article Influence: 6.5] [Reference Citation Analysis]
6 Gordon CJ, Phillips PM, Ledbetter A, Snow SJ, Schladweiler MC, Johnstone AF, Kodavanti UP. Active vs. sedentary lifestyle from weaning to adulthood and susceptibility to ozone in rats. Am J Physiol Lung Cell Mol Physiol 2017;312:L100-9. [PMID: 27836902 DOI: 10.1152/ajplung.00415.2016] [Cited by in Crossref: 8] [Cited by in F6Publishing: 8] [Article Influence: 1.6] [Reference Citation Analysis]
7 DeBoer MD, Filipp SL, Gurka MJ. Geographical variation in the prevalence of obesity and metabolic syndrome among US adolescents. Pediatr Obes 2019;14:e12483. [PMID: 30515979 DOI: 10.1111/ijpo.12483] [Cited by in Crossref: 14] [Cited by in F6Publishing: 9] [Article Influence: 4.7] [Reference Citation Analysis]
8 Gurka MJ, Guo Y, Filipp SL, DeBoer MD. Metabolic syndrome severity is significantly associated with future coronary heart disease in Type 2 diabetes. Cardiovasc Diabetol 2018;17:17. [PMID: 29351794 DOI: 10.1186/s12933-017-0647-y] [Cited by in Crossref: 22] [Cited by in F6Publishing: 17] [Article Influence: 7.3] [Reference Citation Analysis]
9 Wang LX, Filipp SL, Urbina EM, Gurka MJ, DeBoer MD. Longitudinal Associations of Metabolic Syndrome Severity Between Childhood and Young Adulthood: The Bogalusa Heart Study. Metab Syndr Relat Disord 2018;16:208-14. [PMID: 29584578 DOI: 10.1089/met.2017.0160] [Cited by in Crossref: 8] [Cited by in F6Publishing: 3] [Article Influence: 2.7] [Reference Citation Analysis]
10 Gurka MJ, Filipp SL, Musani SK, Sims M, DeBoer MD. Use of BMI as the marker of adiposity in a metabolic syndrome severity score: Derivation and validation in predicting long-term disease outcomes. Metabolism 2018;83:68-74. [PMID: 29410278 DOI: 10.1016/j.metabol.2018.01.015] [Cited by in Crossref: 12] [Cited by in F6Publishing: 11] [Article Influence: 4.0] [Reference Citation Analysis]
11 Gallardo-Alfaro L, Bibiloni MDM, Bouzas C, Mascaró CM, Martínez-González MÁ, Salas-Salvadó J, Corella D, Schröder H, Martínez JA, Alonso-Gómez ÁM, Wärnberg J, Vioque J, Romaguera D, Lopez-Miranda J, Estruch R, Tinahones FJ, Lapetra J, Serra-Majem L, Bueno-Cavanillas A, Micó RM, Pintó X, Gaforio JJ, Ortíz-Ramos M, Altés-Boronat A, Luca BL, Daimiel L, Ros E, Sayon-Orea C, Becerra-Tomás N, Gimenez-Alba IM, Castañer O, Abete I, Tojal-Sierra L, Pérez-López J, Torres-Collado L, Colom A, Garcia-Rios A, Castro-Barquero S, Bernal R, Santos-Lozano JM, Fernandez-Lazaro CI, Hernández-Alonso P, Saiz C, Zomeño MD, Zulet MA, Belló-Mora MC, Basterra-Gortari FJ, Canudas S, Goday A, Tur JA; PREDIMED-Plus investigators. Physical activity and metabolic syndrome severity among older adults at cardiovascular risk: 1-Year trends. Nutr Metab Cardiovasc Dis 2021:S0939-4753(21)00292-1. [PMID: 34366176 DOI: 10.1016/j.numecd.2021.06.015] [Reference Citation Analysis]
12 Guo Y, Musani SK, Sims M, Pearson TA, DeBoer MD, Gurka MJ. Assessing the added predictive ability of a metabolic syndrome severity score in predicting incident cardiovascular disease and type 2 diabetes: the Atherosclerosis Risk in Communities Study and Jackson Heart Study. Diabetol Metab Syndr 2018;10:42. [PMID: 29796112 DOI: 10.1186/s13098-018-0344-3] [Cited by in Crossref: 11] [Cited by in F6Publishing: 8] [Article Influence: 3.7] [Reference Citation Analysis]
13 Huh JH, Lee JH, Moon JS, Sung KC, Kim JY, Kang DR. Metabolic Syndrome Severity Score in Korean Adults: Analysis of the 2010-2015 Korea National Health and Nutrition Examination Survey. J Korean Med Sci 2019;34:e48. [PMID: 30787681 DOI: 10.3346/jkms.2019.34.e48] [Cited by in Crossref: 8] [Cited by in F6Publishing: 3] [Article Influence: 4.0] [Reference Citation Analysis]
14 Romero-Saldaña M, Tauler P, Vaquero-Abellán M, López-González AA, Fuentes-Jiménez FJ, Aguiló A, Álvarez-Fernández C, Molina-Recio G, Bennasar-Veny M. Validation of a non-invasive method for the early detection of metabolic syndrome: a diagnostic accuracy test in a working population. BMJ Open 2018;8:e020476. [PMID: 30344164 DOI: 10.1136/bmjopen-2017-020476] [Cited by in Crossref: 7] [Cited by in F6Publishing: 6] [Article Influence: 2.3] [Reference Citation Analysis]
15 DeBoer MD, Filipp SL, Gurka MJ. Use of a Metabolic Syndrome Severity Z Score to Track Risk During Treatment of Prediabetes: An Analysis of the Diabetes Prevention Program. Diabetes Care 2018;41:2421-30. [PMID: 30275282 DOI: 10.2337/dc18-1079] [Cited by in Crossref: 22] [Cited by in F6Publishing: 15] [Article Influence: 7.3] [Reference Citation Analysis]
16 Höchsmann C, Dorling JL, Martin CK, Newton RL Jr, Apolzan JW, Myers CA, Denstel KD, Mire EF, Johnson WD, Zhang D, Arnold CL, Davis TC, Fonseca V, Lavie CJ, Price-Haywood EG, Katzmarzyk PT; PROPEL Research Group. Effects of a 2-Year Primary Care Lifestyle Intervention on Cardiometabolic Risk Factors: A Cluster-Randomized Trial. Circulation 2021;143:1202-14. [PMID: 33557578 DOI: 10.1161/CIRCULATIONAHA.120.051328] [Reference Citation Analysis]
17 Vishnu A, Gurka MJ, DeBoer MD. The severity of the metabolic syndrome increases over time within individuals, independent of baseline metabolic syndrome status and medication use: The Atherosclerosis Risk in Communities Study. Atherosclerosis 2015;243:278-85. [PMID: 26409627 DOI: 10.1016/j.atherosclerosis.2015.09.025] [Cited by in Crossref: 30] [Cited by in F6Publishing: 28] [Article Influence: 5.0] [Reference Citation Analysis]
18 King AK, McGill-Meeks K, Beller JP, Burt Solorzano CM. Go Girls!-Dance-Based Fitness to Increase Enjoyment of Exercise in Girls at Risk for PCOS. Children (Basel) 2019;6:E99. [PMID: 31500180 DOI: 10.3390/children6090099] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 1.5] [Reference Citation Analysis]
19 Virani SS, Alonso A, Benjamin EJ, Bittencourt MS, Callaway CW, Carson AP, Chamberlain AM, Chang AR, Cheng S, Delling FN, Djousse L, Elkind MSV, Ferguson JF, Fornage M, Khan SS, Kissela BM, Knutson KL, Kwan TW, Lackland DT, Lewis TT, Lichtman JH, Longenecker CT, Loop MS, Lutsey PL, Martin SS, Matsushita K, Moran AE, Mussolino ME, Perak AM, Rosamond WD, Roth GA, Sampson UKA, Satou GM, Schroeder EB, Shah SH, Shay CM, Spartano NL, Stokes A, Tirschwell DL, VanWagner LB, Tsao CW;  American Heart Association Council on Epidemiology and Prevention Statistics Committee and Stroke Statistics Subcommittee. Heart Disease and Stroke Statistics-2020 Update: A Report From the American Heart Association. Circulation. 2020;141:e139-e596. [PMID: 31992061 DOI: 10.1161/cir.0000000000000757] [Cited by in Crossref: 1624] [Cited by in F6Publishing: 711] [Article Influence: 1624.0] [Reference Citation Analysis]
20 DeBoer MD, Gurka MJ, Morrison JA, Woo JG. Inter-relationships between the severity of metabolic syndrome, insulin and adiponectin and their relationship to future type 2 diabetes and cardiovascular disease. Int J Obes (Lond) 2016;40:1353-9. [PMID: 27133621 DOI: 10.1038/ijo.2016.81] [Cited by in Crossref: 32] [Cited by in F6Publishing: 24] [Article Influence: 6.4] [Reference Citation Analysis]
21 DeBoer MD, Gurka MJ. Clinical utility of metabolic syndrome severity scores: considerations for practitioners. Diabetes Metab Syndr Obes. 2017;10:65-72. [PMID: 28255250 DOI: 10.2147/dmso.s101624] [Cited by in Crossref: 23] [Cited by in F6Publishing: 10] [Article Influence: 5.8] [Reference Citation Analysis]
22 Meamar R, Amini M, Aminorroaya A, Nasri M, Abyar M, Feizi A. Severity of the metabolic syndrome as a predictor of prediabetes and type 2 diabetes in first degree relatives of type 2 diabetic patients: A 15-year prospective cohort study. World J Diabetes 2020;11:202-12. [PMID: 32477456 DOI: 10.4239/wjd.v11.i5.202] [Reference Citation Analysis]
23 Gurka MJ, Golden SH, Musani SK, Sims M, Vishnu A, Guo Y, Cardel M, Pearson TA, DeBoer MD. Independent associations between a metabolic syndrome severity score and future diabetes by sex and race: the Atherosclerosis Risk In Communities Study and Jackson Heart Study. Diabetologia. 2017;60:1261-1270. [PMID: 28378033 DOI: 10.1007/s00125-017-4267-6] [Cited by in Crossref: 40] [Cited by in F6Publishing: 33] [Article Influence: 10.0] [Reference Citation Analysis]
24 Gallardo-Alfaro L, Bibiloni MDM, Mascaró CM, Montemayor S, Ruiz-Canela M, Salas-Salvadó J, Corella D, Fitó M, Romaguera D, Vioque J, Alonso-Gómez ÁM, Wärnberg J, Martínez JA, Serra-Majem L, Estruch R, Fernández-García JC, Lapetra J, Pintó X, García Ríos A, Bueno-Cavanillas A, Gaforio JJ, Matía-Martín P, Daimiel L, Micó-Pérez RM, Vidal J, Vázquez C, Ros E, Fernandez-Lázaro CI, Becerra-Tomás N, Gimenez-Alba IM, Zomeño MD, Konieczna J, Compañ-Gabucio L, Tojal-Sierra L, Pérez-López J, Zulet MÁ, Casañas-Quintana T, Castro-Barquero S, Gómez-Pérez AM, Santos-Lozano JM, Galera A, Basterra-Gortari FJ, Basora J, Saiz C, Pérez-Vega KA, Galmés-Panadés AM, Tercero-Maciá C, Sorto-Sánchez C, Sayón-Orea C, García-Gavilán J, Muñoz-Martínez J, Tur JA. Leisure-Time Physical Activity, Sedentary Behaviour and Diet Quality are Associated with Metabolic Syndrome Severity: The PREDIMED-Plus Study. Nutrients 2020;12:E1013. [PMID: 32272653 DOI: 10.3390/nu12041013] [Cited by in Crossref: 5] [Cited by in F6Publishing: 3] [Article Influence: 5.0] [Reference Citation Analysis]
25 Gurka MJ, Filipp SL, DeBoer MD. Geographical variation in the prevalence of obesity, metabolic syndrome, and diabetes among US adults. Nutr Diabetes 2018;8:14. [PMID: 29549249 DOI: 10.1038/s41387-018-0024-2] [Cited by in Crossref: 52] [Cited by in F6Publishing: 31] [Article Influence: 17.3] [Reference Citation Analysis]
26 Gurka MJ, Vishnu A, Okereke OI, Musani S, Sims M, DeBoer MD. Depressive symptoms are associated with worsened severity of the metabolic syndrome in African American women independent of lifestyle factors: A consideration of mechanistic links from the Jackson heart study. Psychoneuroendocrinology 2016;68:82-90. [PMID: 26963374 DOI: 10.1016/j.psyneuen.2016.02.030] [Cited by in Crossref: 15] [Cited by in F6Publishing: 11] [Article Influence: 3.0] [Reference Citation Analysis]
27 Wang LX, Gurka MJ, Deboer MD. Metabolic syndrome severity and lifestyle factors among adolescents. Minerva Pediatr 2018;70:467-75. [PMID: 29968453 DOI: 10.23736/S0026-4946.18.05290-8] [Cited by in Crossref: 8] [Cited by in F6Publishing: 1] [Article Influence: 2.7] [Reference Citation Analysis]
28 Low S, Khoo KCJ, Wang J, Irwan B, Sum CF, Subramaniam T, Lim SC, Wong TKM. Development of a metabolic syndrome severity score and its association with incident diabetes in an Asian population—results from a longitudinal cohort in Singapore. Endocrine 2019;65:73-80. [DOI: 10.1007/s12020-019-01970-5] [Cited by in Crossref: 6] [Cited by in F6Publishing: 4] [Article Influence: 3.0] [Reference Citation Analysis]
29 Benjamin EJ, Muntner P, Alonso A, Bittencourt MS, Callaway CW, Carson AP, Chamberlain AM, Chang AR, Cheng S, Das SR, Delling FN, Djousse L, Elkind MSV, Ferguson JF, Fornage M, Jordan LC, Khan SS, Kissela BM, Knutson KL, Kwan TW, Lackland DT, Lewis TT, Lichtman JH, Longenecker CT, Loop MS, Lutsey PL, Martin SS, Matsushita K, Moran AE, Mussolino ME, O'Flaherty M, Pandey A, Perak AM, Rosamond WD, Roth GA, Sampson UKA, Satou GM, Schroeder EB, Shah SH, Spartano NL, Stokes A, Tirschwell DL, Tsao CW, Turakhia MP, VanWagner LB, Wilkins JT, Wong SS, Virani SS;  American Heart Association Council on Epidemiology and Prevention Statistics Committee and Stroke Statistics Subcommittee. Heart Disease and Stroke Statistics-2019 Update: A Report From the American Heart Association. Circulation. 2019;139:e56-e528. [PMID: 30700139 DOI: 10.1161/cir.0000000000000659] [Cited by in Crossref: 2988] [Cited by in F6Publishing: 1197] [Article Influence: 1494.0] [Reference Citation Analysis]
30 DeBoer MD, Filipp SL, Musani SK, Sims M, Okusa MD, Gurka M. Metabolic Syndrome Severity and Risk of CKD and Worsened GFR: The Jackson Heart Study. Kidney Blood Press Res 2018;43:555-67. [PMID: 29642060 DOI: 10.1159/000488829] [Cited by in Crossref: 17] [Cited by in F6Publishing: 12] [Article Influence: 5.7] [Reference Citation Analysis]
31 Gurka MJ, Mack JA, Chi X, DeBoer MD. Use of metabolic syndrome severity to assess treatment with vitamin E and pioglitazone for non-alcoholic steatohepatitis. J Gastroenterol Hepatol 2021;36:249-56. [PMID: 32506513 DOI: 10.1111/jgh.15131] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
32 Liu L, Guan X, Yuan Z, Zhao M, Li Q, Zhang X, Zhang H, Zheng D, Xu J, Gao L, Guan Q, Zhao J, The Reaction Study Group. Different Contributions of Dyslipidemia and Obesity to the Natural History of Type 2 Diabetes: 3-Year Cohort Study in China. J Diabetes Res 2019;2019:4328975. [PMID: 30949514 DOI: 10.1155/2019/4328975] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
33 Reisinger C, Nkeh-Chungag BN, Fredriksen PM, Goswami N. The prevalence of pediatric metabolic syndrome-a critical look on the discrepancies between definitions and its clinical importance. Int J Obes (Lond) 2021;45:12-24. [PMID: 33208861 DOI: 10.1038/s41366-020-00713-1] [Cited by in Crossref: 13] [Cited by in F6Publishing: 9] [Article Influence: 13.0] [Reference Citation Analysis]
34 Gurka MJ, Vishnu A, Santen RJ, DeBoer MD. Progression of Metabolic Syndrome Severity During the Menopausal Transition. J Am Heart Assoc 2016;5:e003609. [PMID: 27487829 DOI: 10.1161/JAHA.116.003609] [Cited by in Crossref: 56] [Cited by in F6Publishing: 22] [Article Influence: 11.2] [Reference Citation Analysis]
35 DeBoer MD, Gurka MJ, Golden SH, Musani SK, Sims M, Vishnu A, Guo Y, Pearson TA. Independent Associations Between Metabolic Syndrome Severity and Future Coronary Heart Disease by Sex and Race. J Am Coll Cardiol. 2017;69:1204-1205. [PMID: 28254184 DOI: 10.1016/j.jacc.2016.10.088] [Cited by in Crossref: 29] [Cited by in F6Publishing: 27] [Article Influence: 14.5] [Reference Citation Analysis]
36 Lee AM, Fermin CR, Filipp SL, Gurka MJ, DeBoer MD. Examining trends in prediabetes and its relationship with the metabolic syndrome in US adolescents, 1999-2014. Acta Diabetol. 2017;54:373-381. [PMID: 28070750 DOI: 10.1007/s00592-016-0958-6] [Cited by in Crossref: 26] [Cited by in F6Publishing: 18] [Article Influence: 6.5] [Reference Citation Analysis]
37 Lee AM, Charlton JR, Carmody JB, Gurka MJ, DeBoer MD. Metabolic risk factors in nondiabetic adolescents with glomerular hyperfiltration. Nephrol Dial Transplant 2017;32:1517-24. [PMID: 27312148 DOI: 10.1093/ndt/gfw231] [Cited by in Crossref: 3] [Cited by in F6Publishing: 5] [Article Influence: 1.0] [Reference Citation Analysis]
38 Lee AM, Scharf RJ, DeBoer MD. Food insecurity is associated with prediabetes and dietary differences in U.S. adults aged 20-39. Prev Med 2018;116:180-5. [PMID: 30267733 DOI: 10.1016/j.ypmed.2018.09.012] [Cited by in Crossref: 8] [Cited by in F6Publishing: 6] [Article Influence: 2.7] [Reference Citation Analysis]
39 Hosseinpour-Niazi S, Bakhshi B, Betru E, Mirmiran P, Darand M, Azizi F. Prospective study of total and various types of vegetables and the risk of metabolic syndrome among children and adolescents. World J Diabetes 2019;10:362-75. [PMID: 31231459 DOI: 10.4239/wjd.v10.i6.362] [Cited by in CrossRef: 5] [Cited by in F6Publishing: 3] [Article Influence: 2.5] [Reference Citation Analysis]
40 Feldstein Ewing SW, Claus ED, Hudson KA, Filbey FM, Yakes Jimenez E, Lisdahl KM, Kong AS. Overweight adolescents' brain response to sweetened beverages mirrors addiction pathways. Brain Imaging Behav 2017;11:925-35. [PMID: 27392791 DOI: 10.1007/s11682-016-9564-z] [Cited by in Crossref: 24] [Cited by in F6Publishing: 19] [Article Influence: 8.0] [Reference Citation Analysis]
41 DeBoer MD. Assessing and Managing the Metabolic Syndrome in Children and Adolescents. Nutrients 2019;11:E1788. [PMID: 31382417 DOI: 10.3390/nu11081788] [Cited by in Crossref: 29] [Cited by in F6Publishing: 14] [Article Influence: 14.5] [Reference Citation Analysis]
42 Ruíz-Fernández NA, Leal U, Espinoza M. Comparison of scores for the classification of cardiometabolic risk in adult patients enrolled in a Venezuelan program for chronic non-communicable diseases: a cross-sectional study. Sao Paulo Med J 2020;138:69-78. [PMID: 32321108 DOI: 10.1590/1516-3180.2019.0236.R1.06112019] [Reference Citation Analysis]
43 Virani SS, Alonso A, Aparicio HJ, Benjamin EJ, Bittencourt MS, Callaway CW, Carson AP, Chamberlain AM, Cheng S, Delling FN, Elkind MSV, Evenson KR, Ferguson JF, Gupta DK, Khan SS, Kissela BM, Knutson KL, Lee CD, Lewis TT, Liu J, Loop MS, Lutsey PL, Ma J, Mackey J, Martin SS, Matchar DB, Mussolino ME, Navaneethan SD, Perak AM, Roth GA, Samad Z, Satou GM, Schroeder EB, Shah SH, Shay CM, Stokes A, VanWagner LB, Wang NY, Tsao CW;  American Heart Association Council on Epidemiology and Prevention Statistics Committee and Stroke Statistics Subcommittee. Heart Disease and Stroke Statistics-2021 Update: A Report From the American Heart Association. Circulation. 2021;143:e254-e743. [PMID: 33501848 DOI: 10.1161/cir.0000000000000950] [Cited by in Crossref: 174] [Cited by in F6Publishing: 62] [Article Influence: 174.0] [Reference Citation Analysis]
44 Gurka MJ, Filipp SL, Pearson TA, DeBoer MD. Assessing Baseline and Temporal Changes in Cardiometabolic Risk Using Metabolic Syndrome Severity and Common Risk Scores. J Am Heart Assoc 2018;7:e009754. [PMID: 30369320 DOI: 10.1161/JAHA.118.009754] [Cited by in Crossref: 9] [Cited by in F6Publishing: 4] [Article Influence: 4.5] [Reference Citation Analysis]
45 Lee AM, Gurka MJ, DeBoer MD. Trends in Metabolic Syndrome Severity and Lifestyle Factors Among Adolescents. Pediatrics 2016;137:e20153177. [PMID: 26908664 DOI: 10.1542/peds.2015-3177] [Cited by in Crossref: 41] [Cited by in F6Publishing: 29] [Article Influence: 8.2] [Reference Citation Analysis]
46 Dimitrov BD, Bahchevanov KM, Atanassova PA, Mitkov MD, Massaldjieva RI, Chompalov KA, Hadzhipetrov GK. Metabolic syndrome severity score: range and associations with cardiovascular risk factors. Arch Med Sci Atheroscler Dis 2016;1:e90-7. [PMID: 28905027 DOI: 10.5114/amsad.2016.62137] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 0.8] [Reference Citation Analysis]
47 Pacheco LS, Blanco E, Burrows R, Reyes M, Lozoff B, Gahagan S. Early Onset Obesity and Risk of Metabolic Syndrome Among Chilean Adolescents. Prev Chronic Dis 2017;14:E93. [PMID: 29023232 DOI: 10.5888/pcd14.170132] [Cited by in Crossref: 13] [Cited by in F6Publishing: 9] [Article Influence: 3.3] [Reference Citation Analysis]
48 DeBoer MD, Filipp SL, Sims M, Musani SK, Gurka MJ. Risk of Ischemic Stroke Increases Over the Spectrum of Metabolic Syndrome Severity. Stroke 2020;51:2548-52. [PMID: 32552367 DOI: 10.1161/STROKEAHA.120.028944] [Cited by in Crossref: 6] [Cited by in F6Publishing: 3] [Article Influence: 6.0] [Reference Citation Analysis]
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