Beware of Add-on Studies! [Study Assessment]
Dear Xipei,
shit happens. You can’t simply add subjects to a failed study since the patients’s risk will not be maintained at ≤5%. Translating statistics into simple words: You have already “consumed” the entire 5% in the first study and nothing is “left” for the add-on.
Some remarks for the future:
shit happens. You can’t simply add subjects to a failed study since the patients’s risk will not be maintained at ≤5%. Translating statistics into simple words: You have already “consumed” the entire 5% in the first study and nothing is “left” for the add-on.
Some remarks for the future:
- Always plan for the PK metric with the higher CV (in most cases Cmax). It doesn’t make sense to plan for BE of AUC (CV 41%) since you will fail with Cmax (CV 65%). With your CVs you would need 70 subjects for AUC but 154 for Cmax. If you run the study in 70 subjects, power to show BE for Cmax would be only 38%! Try
power.TOST(CV=0.65, n=70).
- Allow for a safety margin. The CV is only an estimate carrying some degree of uncertainty (depending on the sample size). You can get an upper confidence limit of the CV from
PowerTOST(df for a 2×2 cross-over = n-2). With your CV of Cmax:
CVCL(CV=0.65, df=21)← nightmare!
lower CL upper CL
0.000000 0.9452972
- If you want to perform a Two-Stage method in the next study, you have to prespecify this intention in the protocol and state the framework you want to follow.
- With one exception1 all Two-Stage methods2–4 are using a fixed T/R-ratio (0.95 or 0.90) – not the ratio observed in stage 1. Note that Karalis & Macheras limit the total sample size with 150 subjects. It will be a close shave even if you find exactly the same results like in the failed study. Try
sampleN.TOST(alpha=0.0294, theta0=1.02, CV=0.65). If either the ratio or the CV is only 1% worse you will fail in stage 1 (since ntotal >150).
- In sample size re-estimation for stage 2 always use the adjusted α (e.g., 0.0294 for Potvin’s methods).
PowerTOSTgives the total sample size – not sample sizes per sequence. Seehelp(sampleN.TOST).
- IMHO with such high CVs Two-Stage designs do not make any sense. Have a look at Potvin’s Table II for a CV of 100%: With already 60 subjects in the first stage you always will have to proceed to the second stage. Average total sample size is 359 (95% CI: 258–474). Crazy.
Talk to your agency whether reference-scaling is acceptable. If yes, ask which method they would accept (FDA’s or EMA’s). You would need a replicate design (preferably a full replicate: RTR|TRT or RTRT|TRTR). For the required sample sizes seesampleN.RSABE(FDA) andsampleN.scABEL(EMA).
- Learn from the failed study. Did you sample frequently enough in order to “catch” Cmax in all subjects? This is a very important aspect especially for delayed release formulations.
- References:
- Karalis V, Macheras P. An Insight into the Properties of a Two-Stage Design in Bioequivalence Studies. Pharm Res. 2013;30(7):1824–35. doi 10.1007/s11095-013-1026-3
- Potvin D et al. Sequential design approaches for bioequivalence studies with crossover designs. Pharm Stat. 2008;7(4):245–62. doi 10.1002/pst.294
- Montague TH et al. Additional results for ‘Sequential design approaches for bio-equivalence studies with crossover designs’. Pharm Stat. 2011;11(1):8–13. doi 10.1002/pst.483
- Fuglsang A. Sequential Bioequivalence Trial Designs with Increased Power and Controlled Type I Error Rates. AAPS J. 2013;15(3):659–61. doi 10.1208/s12248-013-9475-5
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Helmut Schütz
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Science Quotes
Dif-tor heh smusma 🖖🏼 Довге життя Україна!
![[image]](https://static.bebac.at/pics/Blue_and_yellow_ribbon_UA.png)
Helmut Schütz
![[image]](https://static.bebac.at/img/CC by.png)
The quality of responses received is directly proportional to the quality of the question asked. 🚮
Science Quotes
Complete thread:
- Add more subjects after a failed BE study of a HVD wxp 2013-05-27 10:34
- bad luck Dr_Dan 2013-05-27 12:28
- bad luck wxp 2013-05-27 14:19
- Beware of Add-on Studies!Helmut 2013-05-27 13:51
- Beware of Add-on Studies! Shuanghe 2013-05-27 15:59
- Oh wow! Helmut 2013-05-27 16:21
- The same criterion of Cmax in China now wxp 2013-05-28 06:10
- SFDA ⇒ CFDA Helmut 2013-05-28 13:02
- Helmut, updated Chinese BE guideline here Shuanghe 2013-06-14 11:05
- BE in Chinese Pharmacopoeia Helmut 2013-06-14 14:22
- BE in Chinese Pharmacopoeia Shuanghe 2013-06-14 14:56
- BE in Chinese Pharmacopoeia Helmut 2013-06-14 16:11
- BE in Chinese Pharmacopoeia Shuanghe 2013-06-14 14:56
- BE in Chinese Pharmacopoeia Helmut 2013-06-14 14:22
- Helmut, updated Chinese BE guideline here Shuanghe 2013-06-14 11:05
- SFDA ⇒ CFDA Helmut 2013-05-28 13:02
- The same criterion of Cmax in China now wxp 2013-05-28 06:10
- Oh wow! Helmut 2013-05-27 16:21
- Add more subjects after a failed BE study of a HVD wxp 2013-05-28 05:13
- Still many subjects… Helmut 2013-05-28 12:56
- Beware of Add-on Studies! Shuanghe 2013-05-27 15:59
- bad luck Dr_Dan 2013-05-27 12:28
