dc.contributor.author |
Phillips, Patrick PJ |
|
dc.contributor.author |
Dooley, Kelly E |
|
dc.contributor.author |
Gillespie, Stephen H |
|
dc.contributor.author |
Heinrich, Norbert |
|
dc.contributor.author |
Stout, Jason E |
|
dc.contributor.author |
Nahid, Payam |
|
dc.contributor.author |
Diacon, Andreas H |
|
dc.contributor.author |
Aarnoutse, Rob E |
|
dc.contributor.author |
Kibiki, Gibson S |
|
dc.contributor.author |
Boeree, Martin J |
|
dc.contributor.author |
Hoelscher, Michael |
|
dc.coverage.spatial |
England |
|
dc.date.accessioned |
2017-04-01T13:16:35Z |
|
dc.date.available |
2017-04-01T13:16:35Z |
|
dc.date.issued |
2016-03-23 |
|
dc.identifier |
https://www.ncbi.nlm.nih.gov/pubmed/27004726 |
|
dc.identifier |
10.1186/s12916-016-0597-3 |
|
dc.identifier.uri |
https://hdl.handle.net/10161/13890 |
|
dc.description.abstract |
BACKGROUND: The standard 6-month four-drug regimen for the treatment of drug-sensitive
tuberculosis has remained unchanged for decades and is inadequate to control the epidemic.
Shorter, simpler regimens are urgently needed to defeat what is now the world's greatest
infectious disease killer. METHODS: We describe the Phase IIC Selection Trial with
Extended Post-treatment follow-up (STEP) as a novel hybrid phase II/III trial design
to accelerate regimen development. In the Phase IIC STEP trial, the experimental regimen
is given for the duration for which it will be studied in phase III (presently 3 or
4 months) and patients are followed for clinical outcomes of treatment failure and
relapse for a total of 12 months from randomisation. Operating characteristics of
the trial design are explored assuming a classical frequentist framework as well as
a Bayesian framework with flat and sceptical priors. A simulation study is conducted
using data from the RIFAQUIN phase III trial to illustrate how such a design could
be used in practice. RESULTS: With 80 patients per arm, and two (2.5 %) unfavourable
outcomes in the STEP trial, there is a probability of 0.99 that the proportion of
unfavourable outcomes in a potential phase III trial would be less than 12 % and a
probability of 0.91 that the proportion of unfavourable outcomes would be less than
8 %. With six (7.5 %) unfavourable outcomes, there is a probability of 0.82 that the
proportion of unfavourable outcomes in a potential phase III trial would be less than
12 % and a probability of 0.41 that it would be less than 8 %. Simulations using data
from the RIFAQUIN trial show that a STEP trial with 80 patients per arm would have
correctly shown that the Inferior Regimen should not proceed to phase III and would
have had a high chance (0.88) of either showing that the Successful Regimen could
proceed to phase III or that it might require further optimisation. CONCLUSIONS: Collection
of definitive clinical outcome data in a relatively small number of participants over
only 12 months provides valuable information about the likelihood of success in a
future phase III trial. We strongly believe that the STEP trial design described herein
is an important tool that would allow for more informed decision-making and accelerate
regimen development.
|
|
dc.language |
eng |
|
dc.publisher |
Springer Science and Business Media LLC |
|
dc.relation.ispartof |
BMC Med |
|
dc.relation.isversionof |
10.1186/s12916-016-0597-3 |
|
dc.subject |
Clinical trials |
|
dc.subject |
Drug development |
|
dc.subject |
Middle development |
|
dc.subject |
Phase IIC |
|
dc.subject |
Regimen development |
|
dc.subject |
STEP |
|
dc.subject |
Tuberculosis |
|
dc.subject |
Bayes Theorem |
|
dc.subject |
Drug Discovery |
|
dc.subject |
Female |
|
dc.subject |
Humans |
|
dc.subject |
Research Design |
|
dc.subject |
Tuberculosis |
|
dc.title |
A new trial design to accelerate tuberculosis drug development: the Phase IIC Selection
Trial with Extended Post-treatment follow-up (STEP).
|
|
dc.type |
Journal article |
|
duke.contributor.id |
Stout, Jason E|0135823 |
|
pubs.author-url |
https://www.ncbi.nlm.nih.gov/pubmed/27004726 |
|
pubs.begin-page |
51 |
|
pubs.organisational-group |
Clinical Science Departments |
|
pubs.organisational-group |
Duke |
|
pubs.organisational-group |
Medicine |
|
pubs.organisational-group |
Medicine, Infectious Diseases |
|
pubs.organisational-group |
School of Medicine |
|
pubs.publication-status |
Published online |
|
pubs.volume |
14 |
|
dc.identifier.eissn |
1741-7015 |
|
duke.contributor.orcid |
Stout, Jason E|0000-0002-6698-8176 |
|