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Forum Update: Supporting Community-Led Discussion

The forum was created as a space for shared learning and peer support, and as the community grows, we want to lean more fully into that purpose.

Going forward, PAAB will be taking a more listening-first role in forum discussions. Rather than responding immediately to every question, we’ll be encouraging members to engage with one another, share experiences, and help build collective understanding. PAAB will continue to monitor conversations and will step in to:

  • Correct any misunderstandings
  • Provide guidance when questions remain unanswered after a few days
  • Support discussions where official clarification is needed

Our goal is to foster a collaborative, trusted community where knowledge is shared and strengthened by everyone’s contributions.

Thank you for being part of the conversation.

  • 1 Votes
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    Jennifer CarrollJ
    Hey @kshulist The guidance does apply in this scenario. In addition to the considerations identified in your question, section 4.2 of the guidance relating to emphasis is also applicable. There should be no emphasis on burdens upon which the product has not demonstrated an effect and it should be part of a balanced presentation that includes burdens upon which the product has demonstrated an effect. Clear and prominent disclosure as per section 5.2 of the guidance will be required and this may include clarification of the indication even if it has already been included elsewhere. As a reminder, PAAB will be starting to review under the new guidance starting February 19th.
The responses, guidance, and advisories provided by the Pharmaceutical Advertising Advisory Board (PAAB), including but not limited to those available through the PAAB Forum, the PAAB website, and any PAAB correspondences, are specifically intended to assist individuals navigating the PAAB preclearance system. Repurposing or reproducing this content without written consent from the PAAB Commissioner is strictly prohibited. This prohibition includes, but is not limited to, use in machine learning or AI models.