Objective To summarize the missing data in domestic acupuncture clinical trial reports

and to briefly explore the impact of missing data on the original conclusion after secondary analysis. Methods The researchers searched the literature in CNKI about randomized controlled trials（RCT） of acupuncture published from January 2006 to December 2015. After the screening

the missing data reporting rate and data missing rate were calculated

the reasons for data missing and the use of intention to treat（ITT） analysis were analyzed. ITT analysis was performed on the outcomes of two-arm categorical variables with missing data in the included study

and the results were compared with the original conclusions. Results A total of 3008 acupuncture RCTs were included

of which 1184（39. 4%）reported missing data. The report rate of missing data in the year 2007 decreased

but there was a rise tendency as a whole from 2006 to 2015. Totally 3008 RCT reports contained 343（11. 4%） with the cause of missing data reporting. According to the analysis of the missing data in 1184 reports

there are no missing data in 321（27. 1%） RCT reports

and there are missing data in 863 reports. There are respectively 28（2. 4%）

209（17. 6%）

and 626（52. 9%） reports with data missing rates of ≥20%

≥10% and < 20%

and < 10%. Of the 3008 included reports

only 63（2. 1%） mentioned ITT analysis

and only 30（1. 0%） reported ITT analysis results. A secondary analysis was performed on 358 two-arm trial data that reported categorical outcome variables

of which the conclusions of 108（30. 2%） were inconsistent with the original ones; 92（85. 2%） may have false positive results

16（14. 8%） may have false negative results. Conclusion Clinical acupuncture researchers in China have paid less attention to missing data reporting and the consequential impacts on trial results. Failure to use reasonable methods to deal with missing data may lead to false negative or false positive conclusions.