Sorry for the overgeneralization [Regulatives / Guidelines]

posted by Helmut Homepage – Vienna, Austria, 2013-02-20 17:54 (4863 d 05:36 ago) – Posting: # 10083
Views: 10,402

Hi Luv,

❝ ❝ Absence of evidence evidence of absence. Indians claim a lot.


❝ Ouch!!!


❝ That Hurts!!


Point taken. :no: Terribly sorry.

I’ll try to be more precise. Believe me, in my job I see an awful lot of protocols and reports. Some questions posted in the forum are also telling. Up to now I gave five workshops in India. My observations:

❝ It's not only about India, we have done a couple of studies in EU and Canada and everywhere same word was used.


It’s not about the word we use. Mean and median are different things. If the FDA requires the median you can’t use the mean without a justification.

❝ Now coming to your point "The median of tmax-values after the reference in the study – without the subject who vomited" Do you mean that we need to get blood samples from all the volunteers, mesaure the plama concentration, run the stats and then exclude the volunteer.


It depends on what you stated in the protocol. If you know the reference’s median (!) tmax, write two times of this value in the protocol as a cut-off and stop sampling if a subject vomits ≤ 2×tmax,ref.
If you don’t know the cut-off it’s upon the PI’s discretion whether he excludes the subject right away or not. If a subject is already nauseous it may be unethical to continue blood sampling. Furthermore, the subject’s example may influence other volunteers. :vomit:
However, if the PI decides to keep the subject in the study he may be excluded after calculating median tmax,ref of the rest of the group.

❝ Will it be acceptable by EMEA or FDA? (Remember In principle any reason for exclusion is valid provided it is specified in the protocol and the decision to exclude is made before bioanalysis)


That’s a gray area. No experience with the FDA. Luckily in Europe sometimes the median tmax is given in SmPCs (or more often in PARs). You are right about the statement in EMA’s GL:

Reasons for exclusion
In principle any reason for exclusion is valid provided it is specified in the protocol and the decision to exclude is made before bioanalysis.
Examples of reasons to exclude the results from a subject in a particular period are events such as vomiting and diarrhoea which could render the plasma concentration-time profile unreliable.
The permitted reasons for exclusion must be pre-specified in the protocol. If one of these events occurs it should be noted in the CRF as the study is being conducted. Exclusion of subjects based on these pre-specified criteria should be clearly described and listed in the study report.
Exclusion of data cannot be accepted on the basis of statistical analysis or for pharmacokinetic reasons alone, because it is impossible to distinguish the formulation effects from other effects influencing the pharmacokinetics.

That’s a sound text. For IR products 2×tmax is a reasonable cut-off based on PK (~98% of absorption completed). If I don’t have the median I use the mean instead (although teeth grinding). If we don’t know any value how can we state something in the protocol? See this post on what I use in my protocols. So far I never had a problem (which doesn’t mean a thing).

BTW, “Appendix IV of the Guideline on the Investigation on Bioequivalence (CPMP/EWP/QWP/1401/98 Rev.1): Presentation of Biopharmaceutical and Bioanalytical Data in Module 2.7.1” mandates applicants to state the medians of tmax of test and reference in Table 3.1. Therefore, in the future I expect to see more useful information in PARs.

Dif-tor heh smusma 🖖🏼 Довге життя Україна! [image]
Helmut Schütz
[image]

The quality of responses received is directly proportional to the quality of the question asked. 🚮
Science Quotes

Complete thread:

UA Flag
Activity
 Admin contact
23,654 posts in 4,992 threads, 1,571 registered users;
124 visitors (0 registered, 124 guests [including 24 identified bots]).
Forum time: 00:30 CEST (Europe/Vienna)

The idea is to try and give all the information to help others
to judge the value of your contribution;
not just the information that leads to judgment
in one particular direction or another.    Richard Feynman

The Bioequivalence and Bioavailability Forum is hosted by
BEBAC Ing. Helmut Schütz
HTML5