Using RCT Data to Evaluate the Association of DPP-4 Inhibitors on Pancreatitis and/or Pancreatic Cancer Risk in T2DM: A Systematic Review and Meta-analysis
ZHAO Zi-nan, LIANG Liang, ZHU Yuan-chao, JI Li-wei, YANG Li-ping, HU Xin
Department of Pharmacy, National Center of Gerontology, Beijing Hospital, Beijing 100730, China
Abstract��OBJECTIVE To review systematically the association of dipeptidyl peptidase-4 inhibitors on pancreatitis and/or pancreatic cancer risk in type-2 diabetes mellitus. METHODS Databases including The Cochrane Library, PubMed, Embase, Clinical Trials.gov, CNKI, WanFang Data and CBM, were searched electronically for randomized controlled trials (RCTs) of DPP-4 inhibitors in pancreatitis and pancreatic cancer risk in T2DM patients up to June 2017. Two reviewers independently screened literatures according to the inclusion and exclusion criteria, extracted data, and assessed the methodological quality of the included studies. Then Meta-analysis was performed using Rev Man 5.3 software. RESULTS A total of 39 RCTs involving 65 189 patients were included. The results of Meta-analysis showed that there were no significant differences between the DPP-4 inhibitors group and the control group in the pancreatitis and/or pancreatic cancer adverse events (RR=0.92, 95%CI 0.69 to 1.23, P=0.59), pancreatitis (RR=1.05, 95%CI 0.76 to 1.4, P=0.79) and pancreatic cancer (RR=0.62, 95%CI (0.35, 1.08), P=0.09). Subgroup analyses showed there were no significant differences of acute pancreatitis events between DPP-4 inhibitors group and the control group (RR=1.42, 95%CI 0.82 to 2.47, P=0.21). CONCLUSION The present Meta-analysis of RCTs data does not suggest that DPP-4 inhibitors are associated with pancreatitis and/or pancreatic cancer. Long-term clinical studies are required to further prove this conclusion.
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ZHAO Zi-nan,LIANG Liang,ZHU Yuan-chao,JI Li-wei,YANG Li-ping,HU Xin. Using RCT Data to Evaluate the Association of DPP-4 Inhibitors on Pancreatitis and/or Pancreatic Cancer Risk in T2DM: A Systematic Review and Meta-analysis. Chinese Pharmaceutical Journal, 2018, 53(5): 397-404.
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