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Evidence and risk indicators of non-random sampling in clinical trials in implant dentistry: A systematic appraisal.

Hong-Chang LaiXiao ZhangShu-Jiao QianShi-Min WeiKai-Xiao YanMin XuHong-Chang LaiMaurizio S Tonetti
Published in: Journal of clinical periodontology (2021)
The inability to assess random sampling due to insufficient reporting in 26.6% of trials requires attention. In trials reporting suitable baseline data, unusual distributions were uncommon, and no evidence of data fabrication was detected, but there was evidence of non-random sampling. Continued efforts are necessary to ensure high integrity and trust in the evidence base of the field.
Keyphrases
  • clinical trial
  • electronic health record
  • randomized controlled trial
  • big data
  • machine learning
  • neural network
  • data analysis
  • phase ii