Ensuring alignment between the Study Tagging File and SEND datasets is now critical; miscommunication can lead to technical rejection, highlighting the need for better collaboration across teams.
With SEND enabling access to standardized data, the long-envisioned potential of Historical Control Data systems is becoming a practical reality.
The FDA’s latest guidance makes one thing clear: if a study informs clinical safety and can be rendered in SEND, it likely should be, making “Does this need SEND?” a tougher question than ever.
Much like Bez from the Happy Mondays, the Define-XML file may seem puzzling, but without it, the SEND package just isn’t complete, and its value is becoming harder to ignore.
Compliance with SEND is crucial, but correctness is king. A perfectly formatted dataset means little if the values don’t reflect the actual study data.
SEND works well for single study review, but variability across datasets limits its value for cross-study analysis, something the JPMA’s recent paper explores in compelling detail.
