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A Time-Based Meta-Analysis on the Incidence of New Onset Diabetes after Liver Transplantation

Journal

JOURNAL OF CLINICAL MEDICINE
Volume 10, Issue 5, Pages -

Publisher

MDPI
DOI: 10.3390/jcm10051045

Keywords

NODAT; liver transplantation; new onset diabetes after transplantation; type 2 diabetes; incidence

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This meta-analysis estimated the incidence of NODAT after liver transplantation, with higher rates found at the three-year, five-year, and ten-year timepoints in sensitivity analysis. Studies with predominantly Asian participants generally had a higher incidence of NODAT, suggesting the need for further research on how ethnicity can affect NODAT incidence.
NODAT (new-onset diabetes after transplantation) is an important complication after liver transplant, however, there is variation in the reported incidence of NODAT. Therefore, a meta-analysis was performed to estimate the incidence of NODAT in liver transplant. Electronic databases were searched for articles regarding NODAT incidence after liver transplantation. Incidence of NODAT were analyzed at six different timepoints. Summary statistics were calculated using a generalized linear mixed model in random effects. 28 articles were included and out of a pooled population of 71,257 patients, overall incidence of NODAT was found to be 15.51%, 16.09%, 18.30%, 20.86%, 18.08%, 25.05% for three-months, six-months, one-year, three-year, five-year, and ten-year timepoints respectively. After a sensitivity analysis which only included articles with clear definitions of NODAT, the incidence of NODAT was found to be higher at three-year (21.79%), five-year (25.82%), and ten-year (44.95%) timepoints. Subgroup analysis according to ethnicity found no significant differences for all timepoints. However, studies with predominantly Asian participants generally had a higher incidence of NODAT. In conclusion, this meta-analysis provides a pooled estimate of the incidence of NODAT following liver transplantation. Further studies are required to provide a more comprehensive understanding on how ethnicity can affect the incidence of NODAT.

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