The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Magnesium Replacement Improves the Metabolic Profile in Obese and Pre-Diabetic Patients with Mild-to-Moderate Chronic Kidney Disease: A 3-Month, Randomised, Double-Blind, Placebo-Controlled Study
Open accessAbstract
Background/Aims: Magnesium is an essential mineral for many metabolic functions. There is very little information on the effect of magnesium supplementation on metabolic profiles of chronic kidney disease (CKD) patients. The aim of this study was to assess the influence of magnesium supplementation on metabolic profiles of pre-diabetic, obese and mild-to-moderate CKD patients with hypomagnesemia. Methods: A total of 128 hypomagnesemic, pre-diabetic and obese patients with an estimated glomerular filtration rate between 90 and 30 ml/min/1.73m 2 were enrolled in a randomised, double-blind, placebo-controlled trial. Patients in the magnesium group received 365 mg of oral magnesium (n = 57) once daily for 3 months, while patients in the control group received a placebo (n = 61), also once daily for 3 months. Hypomagnesemia is defined by a serum magnesium level <1.8 mg/dl in males and <1.9 mg/dl in females; obesity is defined as a body mass index ≥30 kg/m 2; and pre-diabetes is defined as fasting plasma glucose ≥100 but <126 mg/dl. The primary end point of the study was the change in insulin resistance measured by the homeostastic model assessment for insulin resistance (HOMA-IR). Results: At the end of follow-up, insulin resistance (-24.5 vs. -8.2%, P = 0.007), HOMA-IR index (-31.9 vs. -3.3%, P < 0.001), hemoglobin A1c (-6.6 vs. -0.16%, P < 0.001), insulin (-29.6 vs. -2.66%, P < 0.001), waist circumference (-4.8 vs. 0.55%, P < 0.001) and uric acid (-0.8 vs. 2.2%, P = 0.004) were significantly decreased in terms of mean changes; albumin (0.91 vs. -2.91%, P = 0.007) and magnesium (0.21 ± 0.18 vs. -0.04 ± 0.05 mg/dl, P < 0.001) were significantly increased in those taking magnesium compared with a placebo. The decrease in metabolic syndrome (-10.5 vs. -4.9%, P = 0.183), obesity (-15.7 vs. -8.2%, P = 0.131), pre-diabetes (-17.5 vs. -9.8%, P = 0.140), and systolic (-5.0 ± 14.8 vs. 0.22 ± 14.9 mm Hg, P = 0.053) and diastolic (-3.07 ± 9.7 vs. 0.07 ± 9.6 mm Hg, P = 0.071) blood pressure did not achieve to a significant level after study. Conclusion: Our data support the argument that magnesium supplementation improves the metabolic status in hypomagnesemic CKD patients with pre-diabetes and obesity.
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
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
Matthews, D. R., Hosker, J. P., Rudenski, A. S., Naylor, B. A., Treacher, D. F., & Turner, R. C. (1985) · Diabetologia · doi:10.1007/bf00280883 · Cited by 31,502
A New Equation to Estimate Glomerular Filtration Rate
Levey, A. S., Stevens, L. A., Schmid, C. H., Zhang, Y. (., Castro, A. F., Feldman, H. I., Kusek, J. W., Eggers, P., Van Lente, F., Greene, T., et al. (2009) · Annals of Internal Medicine · doi:10.7326/0003-4819-150-9-200905050-00006 · Cited by 25,603
Chobanian, A. V., Bakris, G. L., Black, H. R., Cushman, W. C., Green, L. A., Izzo, J. L., Jones, D. W., Materson, B. J., Oparil, S., Wright, J. T., et al. (2003) · Hypertension · doi:10.1161/01.hyp.0000107251.49515.c2 · Cited by 13,271
Diagnosis and classification of diabetes mellitus
American Diabetes Association (2010) · Diabetes Care · doi:10.2337/dc10-s062 · Cited by 5,491
Magnesium in Prevention and Therapy
Gröber, U., Schmidt, J., & Kisters, K. (2015) · Nutrients · doi:10.3390/nu7095388 · Cited by 1,061
Pre-Diabetes, Metabolic Syndrome, and Cardiovascular Risk
Grundy, S. M. (2012) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2011.08.080 · Cited by 627
Magnesium metabolism in type 2 diabetes mellitus, metabolic syndrome and insulin resistance
Barbagallo, M., & Dominguez, L. J. (2007) · Archives of Biochemistry and Biophysics · doi:10.1016/j.abb.2006.05.007 · Cited by 379
Effect of magnesium supplementation on blood pressure: a meta-analysis
Kass, L., Weekes, J., & Carpenter, L. (2012) · European Journal of Clinical Nutrition · doi:10.1038/ejcn.2012.4 · Cited by 235
Magnesium and Ascorbic Acid Supplementation in Diabetes mellitus
Eriksson, J., & Kohvakka, A. (1995) · Annals of Nutrition and Metabolism · doi:10.1159/000177865 · Cited by 115
Research works printed but not linked: 40
- 10.1093/ndtplus/sfr165 · DOI
- 10.1016/j.phrs.2016.06.019 · DOI
- 10.1007/s40620-014-0140-6 · DOI
- 10.1038/ki.2014.331 · DOI
- 10.2337/dc13-1397 · DOI
- 10.2215/CJN.07891109 · DOI · Paper page
- 10.1016/j.amjmed.2013.02.036 · DOI
- 10.1016/j.ejcdt.2015.04.010 · DOI
- 10.1016/j.arcmed.2014.05.003 · DOI
- 10.1016/j.atherosclerosis.2008.11.028 · DOI
- 10.2337/dc16-0798 · DOI
- 10.1001/jama.285.19.2486 · DOI · Paper page
- 10.3402/fnr.v59.25974 · DOI
- 10.1016/j.diabres.2009.11.003 · DOI
- 10.2337/diacare.26.4.1147 · DOI · Paper page
- 10.1053/j.ajkd.2015.06.014 · DOI
- 10.1053/j.ajkd.2015.05.024 · DOI
- 10.1038/ki.2013.327 · DOI · Paper page
- 10.1111/j.1365-2362.2008.01957.x · DOI
- 10.1016/j.ejim.2016.06.015 · DOI
- 10.1159/000368478 · DOI
- 10.1016/S1262-3636(07)70116-7 · DOI
- 10.1111/j.1463-1326.2010.01332.x · DOI
- 10.1016/j.diabet.2015.03.010 · DOI
- 10.1016/j.arcmed.2014.04.006 · DOI
- 10.1684/mrh.2012.0322 · DOI
- 10.1684/mrh.2014.0361 · DOI
- 10.3945/ajcn.110.002949 · DOI
- 10.1007/s005920200036 · DOI
- 10.14740/jocmr1580w · DOI
- 10.2337/dc10-0994 · DOI · Paper page
- 10.2337/dc09-1402 · DOI
- 10.1097/BOR.0b013e32835d951e · DOI
- 10.1016/j.maturitas.2011.07.007 · DOI
- 10.2337/dc12-0226 · DOI
- 10.5414/CNP63429 · DOI
- 10.1093/ndt/gfh831 · DOI
- 10.1111/tri.12287 · DOI
- 10.1159/000346427 · DOI
- 10.1097/00004872-200302000-00025 · DOI
Cited by
Items 101–200 of 759
Metabolic Syndrome and Kidney Disease: A Systematic Review and Meta-analysis
Thomas, G., Sehgal, A. R., Kashyap, S. R., Srinivas, T. R., Kirwan, J. P., & Navaneethan, S. D. (2011) · Clinical Journal of the American Society of Nephrology · doi:10.2215/cjn.02180311 · Cited by 553
Ding, X., Saxena, N. K., Lin, S., Gupta, N., & Anania, F. A. (2006) · Hepatology · doi:10.1002/hep.21006 · Cited by 557
Scott, R., O'Brien, R., Fulcher, G., Pardy, C., d'Emden, M., Tse, D., Taskinen, M.-R., Ehnholm, C., Keech, A., & on behalf of the Fenofibrate Intervention and Event Lowering in Diabetes (FIELD) Study Investigators (2009) · Diabetes Care · doi:10.2337/dc08-1543 · Cited by 551
Modeling Steatohepatitis in Humans with Pluripotent Stem Cell-Derived Organoids
Ouchi, R., Togo, S., Kimura, M., Shinozawa, T., Koido, M., Koike, H., Thompson, W., Karns, R. A., Mayhew, C. N., McGrath, P. S., et al. (2019) · Cell Metabolism · doi:10.1016/j.cmet.2019.05.007 · Cited by 537
Artificial intelligence for diabetes management and decision support: Literature review
Contreras, I., & Vehi, J. (2018) · Journal of Medical Internet Research · doi:10.2196/10775 · Cited by 560
Assessment of insulin sensitivity/resistance
Gutch, M., Kumar, S., Razi, S., Gupta, K., & Gupta, A. (2015) · Indian Journal of Endocrinology and Metabolism · doi:10.4103/2230-8210.146874 · Cited by 555
Perinatal risk factors for childhood obesity and metabolic dysregulation
Catalano, P. M., Farrell, K., Thomas, A., Huston-Presley, L., Mencin, P., de Mouzon, S. H., & Amini, S. B. (2009) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.2008.27416 · Cited by 553
Trajectory of Cognitive Decline After Incident Stroke
Levine, D. A., Galecki, A. T., Langa, K. M., Unverzagt, F. W., Kabeto, M. U., Giordani, B., & Wadley, V. G. (2015) · JAMA · doi:10.1001/jama.2015.6968 · Cited by 497
Health status of adults with congenital adrenal hyperplasia: a cohort study of 203 patients
Arlt, W., Willis, D. S., Wild, S. H., Krone, N., Doherty, E. J., Hahner, S., Han, T. S., Carroll, P. V., Conway, G. S., Rees, D. A., et al. (2010) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2010-0917 · Cited by 506
Hoogeveen, R. C., Gaubatz, J. W., Sun, W., Dodge, R. C., Crosby, J. R., Jiang, J., Couper, D., Virani, S. S., Kathiresan, S., Boerwinkle, E., et al. (2014) · Arteriosclerosis Thrombosis and Vascular Biology · doi:10.1161/atvbaha.114.303284 · Cited by 507
From pre-diabetes to diabetes: diagnosis, treatments and translational research
Khan, R., Chua, Z., Tan, J., Yang, Y., Liao, Z., & Zhao, Y. (2019) · Medicina · doi:10.3390/medicina55090546 · Cited by 484
Hippocampal damage and memory impairments as possible early brain complications of type 2 diabetes
Gold, S. M., Dziobek, I., Sweat, V., Tirsi, A., Rogers, K., Bruehl, H., Tsui, W., Richardson, S., Javier, E., & Convit, A. (2007) · Diabetologia · doi:10.1007/s00125-007-0602-7 · Cited by 489
Pathology of nonalcoholic fatty liver disease
Brunt, E. M. (2010) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/nrgastro.2010.21 · Cited by 484
Lee, W.-J., Yu, P.-J., Wang, W., Chen, T.-C., Wei, P.-L., & Huang, M.-T. (2005) · Annals of Surgery · doi:10.1097/01.sla.0000167762.46568.98 · Cited by 479
Managing preexisting diabetes for pregnancy
Kitzmiller, J. L., Block, J. M., Brown, F. M., Catalano, P. M., Conway, D. L., Coustan, D. R., Gunderson, E. P., Herman, W. H., Hoffman, L. D., Inturrisi, M., et al. (2008) · Diabetes Care · doi:10.2337/dc08-9020 · Cited by 476
Li, X. S., Obeid, S., Klingenberg, R., Gencer, B., Mach, F., Räber, L., Windecker, S., Rodondi, N., Nanchen, D., Muller, O., et al. (2017) · European Heart Journal · doi:10.1093/eurheartj/ehw582 · Cited by 479
Porath, B., Gainullin, V. G., Cornec-Le Gall, E., Dillinger, E. K., Heyer, C. M., Hopp, K., Edwards, M. E., Madsen, C. D., Mauritz, S. R., Banks, C. J., et al. (2016) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2016.05.004 · Cited by 475
Prevention of Type 2 Diabetes With Troglitazone in the Diabetes Prevention Program
The Diabetes Prevention Program Research Group* (2005) · Diabetes · doi:10.2337/diabetes.54.4.1150 · Cited by 474
Berberine in Cardiovascular and Metabolic Diseases: From Mechanisms to Therapeutics
Feng, X., Sureda, A., Jafari, S., Memariani, Z., Tewari, D., Annunziata, G., Barrea, L., Hassan, S. T. S., Šmejkal, K., Malaník, M., et al. (2019) · Theranostics · doi:10.7150/thno.30787 · Cited by 465
Serum Trimethylamine-N-Oxide is Elevated in CKD and Correlates with Coronary Atherosclerosis Burden
Stubbs, J. R., House, J. A., Ocque, A. J., Zhang, S., Johnson, C., Kimber, C., Schmidt, K., Gupta, A., Wetmore, J. B., Nolin, T. D., et al. (2016) · Journal of the American Society of Nephrology · doi:10.1681/asn.2014111063 · Cited by 450
The Diabetes Prevention Program Research Group (2005) · Diabetes · doi:10.2337/diabetes.54.8.2404 · Cited by 446
Social jetlag, chronotype, and cardiometabolic risk
Wong, P. M., Hasler, B. P., Kamarck, T. W., Muldoon, M. F., & Manuck, S. B. (2015) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2015-2923 · Cited by 444
Impact of Metabolic Syndrome on Cognition and Brain: A Selected Review of the Literature
Yates, K. F., Sweat, V., Yau, P. L., Turchiano, M. M., & Convit, A. (2012) · Arteriosclerosis, Thrombosis, and Vascular Biology · doi:10.1161/atvbaha.112.252759 · Cited by 444
Mayer, K. H., Molina, J.-M., Thompson, M. A., Anderson, P. L., Mounzer, K. C., De Wet, J. J., DeJesus, E., Jessen, H., Grant, R. M., Ruane, P. J., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)31065-5 · Cited by 428
Association between 7 years of intensive treatment of type 1 diabetes and long-term mortality
Orchard, T. J., Nathan, D. M., Zinman, B., Cleary, P., Brillon, D., Backlund, J.-Y. C., & Lachin, J. M. (2015) · JAMA · doi:10.1001/jama.2014.16107 · Cited by 437
Sex differences in cognitive decline among US adults
Levine, D. A., Gross, A. L., Briceño, E. M., Tilton, N., Giordani, B. J., Sussman, J. B., Hayward, R. A., Burke, J. F., Hingtgen, S., Elkind, M. S. V., et al. (2021) · JAMA Network Open · doi:10.1001/jamanetworkopen.2021.0169 · Cited by 440
Pescatello, L. S., MacDonald, H. V., Lamberti, L., & Johnson, B. T. (2015) · Current Hypertension Reports · doi:10.1007/s11906-015-0600-y · Cited by 431
Relevance of Sympathetic Nervous System Activation in Obesity and Metabolic Syndrome
Thorp, A. A., & Schlaich, M. P. (2015) · Journal of Diabetes Research · doi:10.1155/2015/341583 · Cited by 425
Muntner, P., Anderson, A., Charleston, J., Chen, Z., Ford, V., Makos, G., O'Connor, A., Perumal, K., Rahman, M., Steigerwalt, S., et al. (2010) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2009.09.014 · Cited by 423
Nathan, D. M., Buse, J. B., Davidson, M. B., Heine, R. J., Holman, R. R., Sherwin, R., & Zinman, B. (2006) · Diabetologia · doi:10.1007/s00125-006-0316-2 · Cited by 420
Skeletal muscle as an endocrine organ: PGC-1α, myokines and exercise
Schnyder, S., & Handschin, C. (2015) · Bone · doi:10.1016/j.bone.2015.02.008 · Cited by 419
Willette, A. A., Bendlin, B. B., Starks, E. J., Birdsill, A. C., Johnson, S. C., Christian, B. T., Okonkwo, O. C., La Rue, A., Hermann, B. P., Koscik, R. L., et al. (2015) · JAMA Neurology · doi:10.1001/jamaneurol.2015.0613 · Cited by 418
West, S. D., Nicoll, D. J., Wallace, T. M., Matthews, D. R., & Stradling, J. R. (2007) · Thorax · doi:10.1136/thx.2006.074351 · Cited by 408
Associations of Muscle Mass and Strength with All-Cause Mortality among US Older Adults
LI, R., XIA, J., ZHANG, X., GATHIRUA-MWANGI, W. G., GUO, J., LI, Y., MCKENZIE, S., & SONG, Y. (2018) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0000000000001448 · Cited by 398
Kraus, W. E., Bhapkar, M., Huffman, K. M., Pieper, C. F., Krupa Das, S., Redman, L. M., Villareal, D. T., Rochon, J., Roberts, S. B., Ravussin, E., et al. (2019) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(19)30151-2 · Cited by 407
Altered Insulin Signaling in Alzheimer’s Disease Brain – Special Emphasis on PI3K-Akt Pathway
Gabbouj, S., Ryhänen, S., Marttinen, M., Wittrahm, R., Takalo, M., Kemppainen, S., Martiskainen, H., Tanila, H., Haapasalo, A., Hiltunen, M., et al. (2019) · Frontiers in Neuroscience · doi:10.3389/fnins.2019.00629 · Cited by 401
Increased prevalence of insulin resistance and nonalcoholic fatty liver disease in Asian-Indian men
Petersen, K. F., Dufour, S., Feng, J., Befroy, D., Dziura, J., Man, C. D., Cobelli, C., & Shulman, G. I. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0608537103 · Cited by 403
Writing Group for the CKD Prognosis Consortium, Appel, L. J., Grams, M., Woodward, M., Harris, K., Arima, H., Chalmers, J., Yatsuya, H., Tamakoshi, K., Li, Y., et al. (2023) · JAMA · doi:10.1001/jama.2023.17002 · Cited by 396
Stote, K. S., Baer, D. J., Spears, K., Paul, D. R., Harris, G. K., Rumpler, W. V., Strycula, P., Najjar, S. S., Ferrucci, L., Ingram, D. K., et al. (2007) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/85.4.981 · Cited by 392
Prospective Study of Sleep-disordered Breathing and Hypertension: The Sleep Heart Health Study
O'Connor, G. T., Caffo, B., Newman, A. B., Quan, S. F., Rapoport, D. M., Redline, S., Resnick, H. E., Samet, J., & Shahar, E. (2009) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.200712-1809oc · Cited by 390
Fox, C. S., Golden, S. H., Anderson, C., Bray, G. A., Burke, L. E., de Boer, I. H., Deedwania, P., Eckel, R. H., Ershow, A. G., Fradkin, J., et al. (2015) · Circulation · doi:10.1161/cir.0000000000000230 · Cited by 386
Balk, E. M., Earley, A., Raman, G., Avendano, E. A., Pittas, A. G., & Remington, P. L. (2015) · Annals of Internal Medicine · doi:10.7326/m15-0452 · Cited by 371
The Role of Magnesium in Neurological Disorders
Kirkland, A. E., Sarlo, G. L., & Holton, K. F. (2018) · Nutrients · doi:10.3390/nu10060730 · Cited by 382
β-hydroxybutyrate deactivates neutrophil NLRP3 inflammasome to relieve gout flares
Goldberg, E. L., Asher, J. L., Molony, R. D., Shaw, A. C., Zeiss, C. J., Wang, C., Morozova-Roche, L. A., Herzog, R. I., Iwasaki, A., & Dixit, V. D. (2017) · Cell Reports · doi:10.1016/j.celrep.2017.02.004 · Cited by 370
Childhood obesity and risk of the adult metabolic syndrome: a systematic review
Dunford, L. J., Langley-Evans, S. C., & McMullen, S. (2012) · International Journal of Obesity · doi:10.1038/ijo.2011.186 · Cited by 365
Strawbridge, R. J., Dupuis, J., Prokopenko, I., Barker, A., Ahlqvist, E., Rybin, D., Petrie, J. R., Travers, M. E., Bouatia-Naji, N., Dimas, A. S., et al. (2011) · Diabetes · doi:10.2337/db11-0415 · Cited by 356
Abumweis, S., Barake, R., & Jones, P. (2008) · Food & Nutrition Research · doi:10.3402/fnr.v52i0.1811 · Cited by 369
Type 2 diabetes mellitus and cardiovascular disease: Genetic and epigenetic links
De Rosa, S., Arcidiacono, B., Chiefari, E., Brunetti, A., Indolfi, C., & Foti, D. P. (2018) · Frontiers in Endocrinology · doi:10.3389/fendo.2018.00002 · Cited by 369
In Utero Exposure to Maternal Hyperglycemia Increases Childhood Cardiometabolic Risk in Offspring
Tam, W. H., Ma, R. C. W., Ozaki, R., Li, A. M., Chan, M. H. M., Yuen, L. Y., Lao, T. T. H., Yang, X., Ho, C. S., Tutino, G. E., et al. (2017) · Diabetes Care · doi:10.2337/dc16-2397 · Cited by 366
Palmer, S. C., Craig, J. C., Navaneethan, S. D., Tonelli, M., Pellegrini, F., & Strippoli, G. F. M. (2012) · Annals of Internal Medicine · doi:10.7326/0003-4819-157-4-201208210-00007 · Cited by 359
Chow, L. S., Manoogian, E. N. C., Alvear, A., Fleischer, J. G., Thor, H., Dietsche, K., Wang, Q., Hodges, J. S., Esch, N., Malaeb, S., et al. (2020) · Obesity · doi:10.1002/oby.22756 · Cited by 359
Stančáková, A., Javorský, M., Kuulasmaa, T., Haffner, S. M., Kuusisto, J., & Laakso, M. (2009) · Diabetes · doi:10.2337/db08-1607 · Cited by 348
Abraham, T. M., Pedley, A., Massaro, J. M., Hoffmann, U., & Fox, C. S. (2015) · Circulation · doi:10.1161/circulationaha.114.015000 · Cited by 353
Genomic prediction of coronary heart disease
Abraham, G., Havulinna, A. S., Bhalala, O. G., Byars, S. G., De Livera, A. M., Yetukuri, L., Tikkanen, E., Perola, M., Schunkert, H., Sijbrands, E. J., et al. (2016) · European Heart Journal · doi:10.1093/eurheartj/ehw450 · Cited by 338
Aging is accompanied by a blunted muscle protein synthetic response to protein ingestion
Wall, B. T., Gorissen, S. H., Pennings, B., Koopman, R., Groen, B. B. L., Verdijk, L. B., & van Loon, L. J. C. (2015) · PLOS ONE · doi:10.1371/journal.pone.0140903 · Cited by 352
Costa, J., Borges, M., David, C., & Carneiro, A. V. (2006) · BMJ · doi:10.1136/bmj.38793.468449.ae · Cited by 340
International Consensus Statement on Obstructive Sleep Apnea
Chang, J. L., Goldberg, A. N., Alt, J. A., Mohammed, A., Ashbrook, L., Auckley, D., Ayappa, I., Bakhtiar, H., Barrera, J. E., Bartley, B. L., et al. (2023) · International Forum of Allergy & Rhinology · doi:10.1002/alr.23079 · Cited by 350
Development and validation of a patient self-assessment score for diabetes risk
Bang, H., Edwards, A. M., Bomback, A. S., Ballantyne, C. M., Brillon, D., Callahan, M. A., Teutsch, S. M., Mushlin, A. I., & Kern, L. M. (2009) · Annals of Internal Medicine · doi:10.7326/0003-4819-151-11-200912010-00005 · Cited by 333
Mauvais-Jarvis, F., Manson, J. E., Stevenson, J. C., & Fonseca, V. A. (2017) · Endocrine Reviews · doi:10.1210/er.2016-1146 · Cited by 341
The Diabetes Prevention Program Research Group (2005) · Diabetes · doi:10.2337/diabetes.54.5.1566 · Cited by 333
Wang, F., Zheng, J., Yang, B., Jiang, J., Fu, Y., & Li, D. (2015) · Journal of the American Heart Association · doi:10.1161/jaha.115.002408 · Cited by 340
Coresh, J., Heerspink, H. J. L., Sang, Y., Matsushita, K., Arnlov, J., Astor, B. C., Black, C., Brunskill, N. J., Carrero, J.-J., Feldman, H. I., et al. (2019) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(18)30313-9 · Cited by 338
Sacks, D. B., Arnold, M., Bakris, G. L., Bruns, D. E., Horvath, A. R., Lernmark, Å., Metzger, B. E., Nathan, D. M., & Kirkman, M. S. (2023) · Diabetes Care · doi:10.2337/dci23-0036 · Cited by 351
Post-Transplant Diabetes Mellitus: Causes, Treatment, and Impact on Outcomes
Shivaswamy, V., Boerner, B., & Larsen, J. (2016) · Endocrine Reviews · doi:10.1210/er.2015-1084 · Cited by 328
Standards of care for type 2 diabetes in China
Weng, J., Ji, L., Jia, W., Lu, J., Zhou, Z., Zou, D., Zhu, D., Chen, L., Chen, L., Guo, L., et al. (2016) · Diabetes/Metabolism Research and Reviews · doi:10.1002/dmrr.2827 · Cited by 315
Association of Race and Sex With Risk of Incident Acute Coronary Heart Disease Events
Safford, M. M., Brown, T. M., Muntner, P. M., Durant, R. W., Glasser, S., Halanych, J. H., Shikany, J. M., Prineas, R. J., Samdarshi, T., Bittner, V. A., et al. (2012) · JAMA · doi:10.1001/jama.2012.14306 · Cited by 316
Hemmingsen, B., Gimenez-Perez, G., Mauricio, D., Roqué i Figuls, M., Metzendorf, M.-I., & Richter, B. (2017) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd003054.pub4 · Cited by 316
James, M. T., Grams, M. E., Woodward, M., Elley, C. R., Green, J. A., Wheeler, D. C., de Jong, P., Gansevoort, R. T., Levey, A. S., Warnock, D. G., et al. (2015) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2015.02.338 · Cited by 309
Barrea, L., Arnone, A., Annunziata, G., Muscogiuri, G., Laudisio, D., Salzano, C., Pugliese, G., Colao, A., & Savastano, S. (2019) · Nutrients · doi:10.3390/nu11102278 · Cited by 306
A Combined Epidemiologic and Metabolomic Approach Improves CKD Prediction
Rhee, E. P., Clish, C. B., Ghorbani, A., Larson, M. G., Elmariah, S., McCabe, E., Yang, Q., Cheng, S., Pierce, K., Deik, A., et al. (2013) · Journal of the American Society of Nephrology · doi:10.1681/asn.2012101006 · Cited by 307
Polypharmacy in the Aging Patient: A Review of Glycemic Control in Older Adults With Type 2 Diabetes
Lipska, K. J., Krumholz, H., Soones, T., & Lee, S. J. (2016) · JAMA · doi:10.1001/jama.2016.0299 · Cited by 309
Epidemiology of Obesity in Adults: Latest Trends
Inoue, Y., Qin, B., Poti, J., Sokol, R., & Gordon-Larsen, P. (2018) · Current Obesity Reports · doi:10.1007/s13679-018-0317-8 · Cited by 308
C-Reactive Protein and Reclassification of Cardiovascular Risk in the Framingham Heart Study
Wilson, P. W. F., Pencina, M., Jacques, P., Selhub, J., D'Agostino, R., & O'Donnell, C. J. (2008) · Circulation: Cardiovascular Quality and Outcomes · doi:10.1161/circoutcomes.108.831198 · Cited by 299
Sarcopenic-obesity and cardiovascular disease risk in the elderly
Stephen, W. C., & Janssen, I. (2009) · The Journal of nutrition, health and aging · doi:10.1007/s12603-009-0084-z · Cited by 301
The Future Burden of CKD in the United States: A Simulation Model for the CDC CKD Initiative
Hoerger, T. J., Simpson, S. A., Yarnoff, B. O., Pavkov, M. E., Ríos Burrows, N., Saydah, S. H., Williams, D. E., & Zhuo, X. (2015) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2014.09.023 · Cited by 299
Clinical trial: pilot study of metformin for the treatment of non-alcoholic steatohepatitis
LOOMBA, R., LUTCHMAN, G., KLEINER, D. E., RICKS, M., FELD, J. J., BORG, B. B., MODI, A., NAGABHYRU, P., SUMNER, A. E., LIANG, T. J., et al. (2009) · Alimentary Pharmacology & Therapeutics · doi:10.1111/j.1365-2036.2008.03869.x · Cited by 299
Relationship of Serum Trimethylamine N-Oxide (TMAO) Levels with early Atherosclerosis in Humans
Randrianarisoa, E., Lehn-Stefan, A., Wang, X., Hoene, M., Peter, A., Heinzmann, S. S., Zhao, X., Königsrainer, I., Königsrainer, A., Balletshofer, B., et al. (2016) · Scientific Reports · doi:10.1038/srep26745 · Cited by 296
Neuroadrenergic and reflex abnormalities in patients with metabolic syndrome
Grassi, G., Dell’Oro, R., Quarti-Trevano, F., Scopelliti, F., Seravalle, G., Paleari, F., Gamba, P. L., & Mancia, G. (2005) · Diabetologia · doi:10.1007/s00125-005-1798-z · Cited by 294
Yoneda, M., Mawatari, H., Fujita, K., Iida, H., Yonemitsu, K., Kato, S., Takahashi, H., Kirikoshi, H., Inamori, M., Nozaki, Y., et al. (2007) · Journal of Gastroenterology · doi:10.1007/s00535-007-2060-x · Cited by 294
Prediabetes and Cardiovascular Disease
Brannick, B., & Dagogo-Jack, S. (2018) · Endocrinology and Metabolism Clinics of North America · doi:10.1016/j.ecl.2017.10.001 · Cited by 293
HbA1c, diabetes and cognitive decline: the English Longitudinal Study of Ageing
Zheng, F., Yan, L., Yang, Z., Zhong, B., & Xie, W. (2018) · Diabetologia · doi:10.1007/s00125-017-4541-7 · Cited by 280
Tissue Engineering Approaches in the Design of Healthy and Pathological In Vitro Tissue Models
Caddeo, S., Boffito, M., & Sartori, S. (2017) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2017.00040 · Cited by 285
Cicero, A. F. G., Colletti, A., Bajraktari, G., Descamps, O., Djuric, D. M., Ezhov, M., Fras, Z., Katsiki, N., Langlois, M., Latkovskis, G., et al. (2017) · Archives of Medical Science · doi:10.5114/aoms.2017.69326 · Cited by 281
Han, J. H., Oh, T. J., Lee, G., Maeng, H. J., Lee, D. H., Kim, K. M., Choi, S. H., Jang, H. C., Lee, H. S., Park, K. S., et al. (2017) · Diabetologia · doi:10.1007/s00125-016-4158-2 · Cited by 281
Da Silva, H. E., Teterina, A., Comelli, E. M., Taibi, A., Arendt, B. M., Fischer, S. E., Lou, W., & Allard, J. P. (2018) · Scientific Reports · doi:10.1038/s41598-018-19753-9 · Cited by 283
Beydoun, M. A., Gary, T. L., Caballero, B. H., Lawrence, R. S., Cheskin, L. J., & Wang, Y. (2008) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/87.6.1914 · Cited by 278
Diagnostic accuracy of body mass index to identify obesity in older adults: NHANES 1999–2004
Batsis, J. A., Mackenzie, T. A., Bartels, S. J., Sahakyan, K. R., Somers, V. K., & Lopez-Jimenez, F. (2016) · International Journal of Obesity · doi:10.1038/ijo.2015.243 · Cited by 275
Molecular Mechanisms of Autophagy in the Cardiovascular System
Gatica, D., Chiong, M., Lavandero, S., & Klionsky, D. J. (2015) · Circulation Research · doi:10.1161/circresaha.114.303788 · Cited by 272
Forouhi, N. G., Sattar, N., Tillin, T., McKeigue, P. M., & Chaturvedi, N. (2006) · Diabetologia · doi:10.1007/s00125-006-0393-2 · Cited by 271
Worthley, S. G., Tsioufis, C. P., Worthley, M. I., Sinhal, A., Chew, D. P., Meredith, I. T., Malaiapan, Y., & Papademetriou, V. (2013) · European Heart Journal · doi:10.1093/eurheartj/eht197 · Cited by 271
100 years of insulin: celebrating the past, present and future of diabetes therapy
Sims, E. K., Carr, A. L. J., Oram, R. A., DiMeglio, L. A., & Evans-Molina, C. (2021) · Nature Medicine · doi:10.1038/s41591-021-01418-2 · Cited by 270
Louis, S., Tappu, R.-M., Damms-Machado, A., Huson, D. H., & Bischoff, S. C. (2016) · PLoS ONE · doi:10.1371/journal.pone.0149564 · Cited by 269
Perri, M. G., Limacher, M. C., Durning, P. E., Janicke, D. M., Lutes, L. D., Bobroff, L. B., Dale, M. S., Daniels, M. J., Radcliff, T. A., & Martin, A. D. (2008) · Archives of Internal Medicine · doi:10.1001/archinte.168.21.2347 · Cited by 266
Mild gestational diabetes mellitus and long-term child health
Landon, M. B., Rice, M. M., Varner, M. W., Casey, B. M., Reddy, U. M., Wapner, R. J., Rouse, D. J., Biggio, J. R., Thorp, J. M., Chien, E. K., et al. (2015) · Diabetes Care · doi:10.2337/dc14-2159 · Cited by 248
Inder, J. D., Carlson, D. J., Dieberg, G., McFarlane, J. R., Hess, N. C., & Smart, N. A. (2016) · Hypertension Research · doi:10.1038/hr.2015.111 · Cited by 268
Blood Pressure Lowering Treatment Trialists' Collaboration (2013) · BMJ · doi:10.1136/bmj.f5680 · Cited by 263
Associations of Adiponectin, Resistin, and Tumor Necrosis Factor-α with Insulin Resistance
Hivert, M.-F., Sullivan, L. M., Fox, C. S., Nathan, D. M., D’Agostino, R. B., Wilson, P. W. F., & Meigs, J. B. (2008) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2008-0425 · Cited by 262
High dietary phosphorus intake is associated with all-cause mortality: results from NHANES III
Chang, A. R., Lazo, M., Appel, L. J., Gutiérrez, O. M., & Grams, M. E. (2014) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.113.073148 · Cited by 262
Safety and efficacy of anti-PCSK9 antibodies: a meta-analysis of 25 randomized, controlled trials
Zhang, X.-L., Zhu, Q.-Q., Zhu, L., Chen, J.-Z., Chen, Q.-H., Li, G.-N., Xie, J., Kang, L.-N., & Xu, B. (2015) · BMC Medicine · doi:10.1186/s12916-015-0358-8 · Cited by 260
Haring, B., Selvin, E., Liang, M., Coresh, J., Grams, M. E., Petruski-Ivleva, N., Steffen, L. M., & Rebholz, C. M. (2017) · Journal of Renal Nutrition · doi:10.1053/j.jrn.2016.11.004 · Cited by 254
Metadata
- Authors
- Toprak, O., Kurt, H., Sarı, Y., Şarkış, C., Us, H., & Kırık, A.
- Venue
- Kidney and Blood Pressure Research
- Publisher
- S. Karger AG
- Published
- 2017
- Volume
- 42
- Issue
- 1
- Pages
- 33-42
- ISSN
- 1420-4096 (ISSN-L)
- 1423-0143
- OpenAlex
- W2607031541
- Cited by
- 29,627
- References
- 9
- FWCI
- 1670.25
- Type
- journal article
- Language
- en
- Open access
- gold
- Licence
- creativecommons.org/licenses/by-nc-nd/4.0/ (vor)
- creativecommons.org/licenses/by-nc-nd/4.0/ (tdm)
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
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.