OBJECTIVE：To provide referenc e for selectin g antitumor drugs economic evaluation models and improving the quality of evidence for antitumor drugs economics evaluation in China. METHODS ：A systematic search of the antitumor drug health technology evaluation （pCODR）reports were conducted on the official website of the Canadian Agency for Drugs and Technologies in Health （CADTH）. The search time was limited to Jan. 1st，2015 to Sep. 6th，2020. The basic information ，model types and structure ，and key limitations were extracted and summarized. RESULTS & CONCLUSIONS ：A total of 185 pCODR reports were finally retrieved ，involving 114 types of tumor indications and 98 types of antitumor drugs. The number of CADTH antitumor drugs economics evaluations in the past 5 years had shown an increasing trend. Among 137 pCODR reports with final economic guidance report ，98 reports（71.5％）adopted the PartSA model ，21 reports（15.3％）used the Markov model ，and some reports（6 reports，4.3％）used both PartSA and Markov models to explore the uncertainty of the model structure. In terms of model health status setting ，86 reports（62.8％）used three-state models to evaluate the economy of different anti tumor drugs ，and 16 reports（11.7％）used no less than four health states to simulate the outcome of disease state. However ，there were still some problems in CADTH models ，such as the unreasonable choice of research time limit ，the unreasonable extrapolation method or uncertain extrapolation results of efficacy （survival）data，the uncertainty of efficacy data obtained by indirect comparison ，and some assumptions or parameter settings did not conform to the actual diagnosis and treatment environment. In view of the advantages of PartSA model ，it is suggested that PartSA model or Markov model combined with PartSA model should be used first to verify the uncertainty of model structure in the future economic evaluation of antitumor drugs ；reasonable settings of key model parameters should be considered to improve the quality of evidence for antitumor drugs economics evaluation in China.