Discuss Study Endpoints Without Overreading Them

A clinician reads a secondary endpoint as positive and asks whether it means the drug works for the patients sitting in front of them. That question is normal and fair. Your job as a medical science liaison is to help the clinician examine what the endpoint actually measured, how it was analyzed, and what the study can and cannot tell them, without turning a single data point into a treatment recommendation.

Why this conversation goes wrong

A positive endpoint invites a shortcut. The clinician wants a usable answer, and a clean number feels like one. If you answer the real question underneath, does this work for my patients, you have made a treatment recommendation you are not allowed to make, and you have substituted your own judgment for the clinician's. The failure rarely looks dramatic. It usually sounds like quiet agreement, a nod that lets the endpoint stand in for a conclusion the study never reached. Pressure builds because clinicians are busy, they want a fast answer, and a careful qualified response can feel evasive if you have not grounded it in evidence they can see for themselves.

How to prepare

Before the conversation, know the endpoint cold. Read the primary publication and the statistical analysis plan, not just the abstract. Note whether the endpoint was primary or secondary, whether the study was powered for it, and whether a multiplicity correction applied to the result the clinician is asking about. Check the population enrolled, the comparator arm, and how long patients were followed. Pull the approved label language and any medical information letter that addresses this endpoint, since your answer has to trace back to referenced, approved sources rather than your own reading of the paper. If the clinician treats a population that differs from the study population, name that gap before the meeting so you are ready to raise it rather than letting the clinician assume the results transfer directly.

What to say

Start by finding out what the clinician actually wants to discuss. An academic clinician says, this secondary endpoint came back positive, does that mean this treatment will work for the patients I see in clinic. Instead of answering yes or no, you respond, I want to make sure we look at this the right way, can we start with how that endpoint was defined and analyzed, and then look at the population it was tested in, that will tell us what the result can actually support. The clinician pushes back a little, I have read the abstract, I want to know if I should be treating patients differently because of this. You answer, the abstract does not carry the detail we need here, this was a secondary endpoint, and the analysis plan applied a correction for multiplicity across several secondary measures, I can send you the section of the paper that lays out how that correction was applied, along with the follow up duration, so you can judge how much weight this result should carry. The clinician then asks specifically how long patients were tracked and whether the correction changed the significance of the result. You answer that question directly from the approved source material and offer to send the citation.

Notice what happened. You never said the endpoint proves the treatment works. You never said it does not. You redirected the clinician toward the material that lets them form their own judgment, and you answered the specific technical questions they raised, with sources attached.

Mistakes to avoid

Do not answer a treatment question with a treatment answer, even when the clinician asks a direct yes or no question. Do not describe a secondary endpoint as if it settles efficacy for a general population. Do not skip the multiplicity and follow up duration details because they complicate a clean story, since those details are usually exactly what changes how much weight the endpoint deserves. Do not let silence stand in for agreement. If you say nothing after a clinician states a broad conclusion out loud, they will walk away assuming you agreed with it. Do not cite your own summary of a paper instead of the paper itself. Clinicians notice when a claim traces back to a specific page and table, and they notice just as much when it does not.

How to practice and score it

A manager or the liaison can rehearse this exchange the same way you would rehearse any other high stakes scientific conversation. Pick an endpoint from a real or realistic paper and have a colleague play a clinician who wants a plain answer. The colleague should press at least once for a simple yes or no, because real clinicians do this when they are busy. Score the liaison on four points. Did they identify which endpoint and which comparison the clinician actually cared about before answering. Did they name at least one limitation on their own, such as the endpoint's status as secondary, the multiplicity correction, or the follow up duration, without being asked. Did they avoid stating or implying a treatment recommendation at any point, including under repeated pressure. Did they close the exchange by naming exactly what they would send the clinician afterward, such as the relevant section of the paper or the analysis plan. A liaison who passes the first three but forgets the fourth has not finished the job, because the clinician needs a document trail as much as a spoken answer. Reviewing a recorded rehearsal against these four points takes about ten minutes and tells a manager more than a written quiz would.

This kind of rehearsal works best when it sits alongside practice for other scientific exchanges a liaison has to manage. DealSpeak's Pharmaceuticals practice conversations cover this scenario and related ones, including how to Support a Guideline Evidence Request With Neutral Sources and how to Assemble a Cited Data Package for Review at a Health System. All three situations rest on the same discipline, answering scientific questions with sources instead of answering clinical questions with opinions.

Keep the conversation useful to the clinician

The goal is not to withhold information or hedge every sentence. It is to give the clinician exactly what the evidence supports, clearly labeled, so they can make their own call. Handled well, this conversation builds trust rather than frustration, because the clinician leaves with real answers and a clear sense of what the data can and cannot tell them.