Retracted COVID-19 studies expose holes in vetting of data firms

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Retracted COVID-19 studies expose holes in vetting of data firms
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The scramble to research the novel coronavirus has exposed weaknesses in the vetting of healthcare data being supplied by a growing number of U.S. firms, a flaw that forced two of the most respected medical journals to pull studies last week.

FILE PHOTO: The ultrastructural morphology exhibited by the 2019 Novel Coronavirus , which was identified as the cause of an outbreak of respiratory illness first detected in Wuhan, China, is seen in an illustration released by the Centers for Disease Control and Prevention in Atlanta, Georgia, U.S. January 29, 2020. Alissa Eckert, MS; Dan Higgins, MAM/CDC/Handout via REUTERS/File Photo

“Whenever you don’t know where data comes from, and precisely how it was managed, then the number of incorrect conclusions you can draw is large,” said Kenneth Mandl, director of the Computational Health Informatics Program at Boston Children’s Hospital. “The field is young enough that those best practices may not be well established across the scientific community.”

The retractions “are great examples of why science needs more of a ‘In God We Trust, everyone else needs to show their data’ approach,” said Ivan Oransky, vice president of editorial at Medscape and co-founder of the Retraction Watch blog. The U.S. Food and Drug Administration now allows data gathered outside of clinical trials to be considered in its reviews of new drugs, providing another boost to the healthcare analytics industry.It is not clear how Surgisphere accessed the data used in the two studies. Surgisphere did not return requests for comment.

A spokesman for Brigham and Women’s Hospital said its data oversight mechanisms “were not applicable” to the Lancet and NEJM studies, adding it only provides “support, guidance and oversight on all agreements that involve the use of our institutional resources, including our patient data.” “We are reviewing our procedures, including how we assess research analyzing large datasets based on electronic medical record data,” said NEJM spokeswoman Jennifer Zeis.

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