S Chang1, J Jiang2. 1. Key Lab of Organ Transplantation, Ministry of Education; Key Lab of Organ Transplantation, Ministry of Health; Institute of Organ Transplantation, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China. 2. Key Lab of Organ Transplantation, Ministry of Education; Key Lab of Organ Transplantation, Ministry of Health; Institute of Organ Transplantation, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China. Electronic address: jack8jiang@163.com.
Abstract
OBJECTIVE: To comprehensively examine the correlation between body mass index (BMI) and the risk of new-onset diabetes after kidney transplantation (NODAT). METHODS: The electronic databases Pubmed, Embase, and Cochrane Library, updated in December 2016, were searched, and a literature review was conducted as well to identify relevant research studies. With the use of R 3.12 software, the association between BMI and NODAT risk was analyzed by means of a meta-analysis, with the mean differences (MDs) and their 95% confidence intervals (CIs) as effect indexes. Publication bias was assessed with the use of the Egger test. A sensitivity analysis was performed by excluding 1 study at a time. And the overall morbidity of NODAT was calculated. RESULTS: In the meta-analysis, 55 eligible studies involving 15,458 kidney transplantation cases were included. After the heterogeneity test, the random-effects model was used to calculate the pooled results of the effect indexes. The results of the meta-analysis showed that BMI was an independent risk factor of NODAT (MD, 1.88; 95% CI, 1.48-2.27). No publication bias was found among the included studies (t = 0.3417; P = 0.7339). The sensitivity analysis revealed that the pooled MD did not reverse after ignoring 1 study at a time. In addition, the overall morbidity of NODAT was 21% (95% CI, 21%-23%). CONCLUSIONS: Our results suggest that BMI is an independent risk factor for NODAT.
OBJECTIVE: To comprehensively examine the correlation between body mass index (BMI) and the risk of new-onset diabetes after kidney transplantation (NODAT). METHODS: The electronic databases Pubmed, Embase, and Cochrane Library, updated in December 2016, were searched, and a literature review was conducted as well to identify relevant research studies. With the use of R 3.12 software, the association between BMI and NODAT risk was analyzed by means of a meta-analysis, with the mean differences (MDs) and their 95% confidence intervals (CIs) as effect indexes. Publication bias was assessed with the use of the Egger test. A sensitivity analysis was performed by excluding 1 study at a time. And the overall morbidity of NODAT was calculated. RESULTS: In the meta-analysis, 55 eligible studies involving 15,458 kidney transplantation cases were included. After the heterogeneity test, the random-effects model was used to calculate the pooled results of the effect indexes. The results of the meta-analysis showed that BMI was an independent risk factor of NODAT (MD, 1.88; 95% CI, 1.48-2.27). No publication bias was found among the included studies (t = 0.3417; P = 0.7339). The sensitivity analysis revealed that the pooled MD did not reverse after ignoring 1 study at a time. In addition, the overall morbidity of NODAT was 21% (95% CI, 21%-23%). CONCLUSIONS: Our results suggest that BMI is an independent risk factor for NODAT.
Authors: Mariel Nöhre; Elisabeth Schieffer; Alexander Hanke; Lars Pape; Lena Schiffer; Mario Schiffer; Martina de Zwaan Journal: Front Psychiatry Date: 2020-05-08 Impact factor: 4.157
Authors: Gabriel C Oniscu; Daniel Abramowicz; Davide Bolignano; Ilaria Gandolfini; Rachel Hellemans; Umberto Maggiore; Ionut Nistor; Stephen O'Neill; Mehmet Sukru Sever; Muguet Koobasi; Evi V Nagler Journal: Nephrol Dial Transplant Date: 2021-12-24 Impact factor: 5.992