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Comment & Response
December 5, 2018

Addressing Clinical Significance

Author Affiliations
  • 1The Johns Hopkins University School of Medicine, Baltimore, Maryland
  • 2The Armstrong Institute for Patient Safety and Quality, Johns Hopkins Medicine, Baltimore, Maryland
  • 3Division of Acute Care Surgery, Department of Surgery, The Johns Hopkins University School of Medicine, Baltimore, Maryland
  • 4Department of Anesthesiology and Critical Care Medicine, The Johns Hopkins University School of Medicine, Baltimore, Maryland
  • 5Department of Emergency Medicine, The Johns Hopkins University School of Medicine, Baltimore, Maryland
  • 6Department of Health Policy and Management, The Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
JAMA Surg. Published online December 5, 2018. doi:10.1001/jamasurg.2018.4748

To the Editor Health care researchers have the difficulty of balancing statistical and clinical significance when publishing research findings. Throughout the JAMA Surgery Practical Guide to Surgical Data Sets series,1 many articles conveyed the concern that large data set analyses can produce statistically but not clinically significant results. This possibility requires the researcher and reader to make a judgement on the value of the information discovered in the study. However, it seems that authors more frequently take a clinician or cost perspective rather than consider the patient experience.

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