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OPTIMIZING PROTOCOL
DESIGN AND ENHANCING
PATIENT ENROLLMENT
Case Study
An emerging biopharmaceutical company was considering development of a pharmacologic agent for
treatment of patients with diabetic kidney disease (DKD). The company was designing a Phase II trial
in patients who had Type 2 Diabetes, Stage 3 chronic kidney disease (CKD) and macroalbuminuria.
They were uncertain about how to balance the selection of the right patients for their trial endpoints
with the ability to achieve rapid subject recruitment.
Recognizing the Challenge
The sponsor’s
initial draft protocol
specified an
estimated glomerular
filtration rate
(eGFR) of 30-59 ml/
min/1.73m2
and a
urinary albumin-
to-creatinine ratio
(UACR) greater than or equal to 300 mg/g. Although these
protocol entry criteria were consistent with the presence of
Stage 3 CKD and microalbuminuria, Covance was able to
model this and see that rapid recruitment for the Phase II
study could be difficult to achieve because of the low
prevalence of patients with Type 2 Diabetes who would meet
both of these specific criteria for eGFR and UACR.
Mining Patient Data to Determine
Protocol Viability
Mining the extensive LabCorp de-identified clinical laboratory
data, which contains more than 30 billion test results across
more than 5,000 assays from 150 million de-identified patients,
the team searched by ICD codes specific to Type 2 Diabetes,
diabetic kidney disease and the desired population’s age range.
The rich data from this search enabled the team to evaluate
the sponsor’s protocol with a focus on the impact of the strict
eligibility criteria noted above. With the sponsor’s original criteria,
the percentage of patients who would qualify for the study was
<3% – a figure that put the sponsor’s recruitment timeline at risk.
Applying Data-
Driven Solutions
LabCorp de-identified clinical
laboratory data helped evaluate
the protocol feasibility and the
overall design of the study.
Database included 1,461,915
patients with Type 2 diabetes
who had both an eGFR and a
UACR determination.
A minor adjustment in
eligibility criteria was forecast
to double the eligible patient
pool – without impacting study
endpoints.
Sponsor gained unique
perspective and new insights
to help achieve an acceptable
screen fail rate.
INCREASED
POOL POPULATION BY
50%FOR EFFECTIVE
RECRUITMENT
Minimizing Screen Failure Rates
By modeling a few minor changes to the eGFR and UACR eligibility criteria, the team
determined that the pool of potentially eligible patients would more than double, without
compromising the objectives of the trial.
As a result, the sponsor adjusted their protocol and was able to substantially reduce the risk of
a potentially high screen fail rate. Study investigators were enthusiastic about the revised entry
criteria and have been recruiting study participants at a greater than expected rate.
An Expert Explains the Advantage of Up-to-Date Data
Michael D. Cressman, DO, Senior Medical Director and Nephrologist at Covance explains why an
initial protocol may not be optimal and can benefit from insights mined from LabCorp clinical data.
“We often see that sponsors may reuse eligibility criteria from a previous study or just set
reasonable eligibility limits without a good rationale. Many sponsors may also rely on data from
the National Health and Nutrition Examination Survey or National Kidney Foundation, but those
data, while valuable for some purposes, can be several years old.
Given that the standard of care is changing, and new drugs are being introduced, it is critical
that sponsors are using the most up-to-date data. Not only is the magnitude of the LabCorp
de-identified clinical laboratory data impressive, it contains lab test results that are updated
within days.
By applying a current, large clinical laboratory database, we can help sponsors optimize renal
entry criteria and derive sample size estimates for these trials – a key feature for more accurately
informing key protocol design decisions.”
REAL-TIME DATA.
REAL-WORLD IMPACT.
www.covance.com/realimpact
Covance Inc., headquartered in Princeton, NJ, USA, is the drug development business of
Laboratory Corporation of America Holdings (LabCorp). COVANCE is a registered trademark
and the marketing name for Covance Inc. and its subsidiaries around the world.
The Americas +1.888.COVANCE (+1.888.268.2623) +1.609.452.4440
Europe / Africa +00.800.2682.2682 +44.1423.500888
Asia Pacific +800.6568.3000 +65.6.5686588
© Copyright 2018 Covance Inc. CSCDS123-1018
Impact	of	eGFR Eligibility	Criteria	on	Size	of	Potentially	Eligible	Pool	of	
Patients	with	Type	2	diabetes	(T2D)	and	Microalbuminuria
2.85
5.36
7.22
0
1
2
3
4
5
6
7
8
9
10
eGFR	30	to	<	60 eGFR	30-89 eGFR	30	or	greater
%	of	T2D	Population
Client’s	originally	proposed	eGFR eligibility	range																										Alternative	eGFR eligibility	ranges	
Option	1:	88%	increase	in	pool	size					 Option	2:	253%	increase	in	pool	size

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Optimizing Protocol Design and Enhancing Patient Enrollment Case Study

  • 1. OPTIMIZING PROTOCOL DESIGN AND ENHANCING PATIENT ENROLLMENT Case Study An emerging biopharmaceutical company was considering development of a pharmacologic agent for treatment of patients with diabetic kidney disease (DKD). The company was designing a Phase II trial in patients who had Type 2 Diabetes, Stage 3 chronic kidney disease (CKD) and macroalbuminuria. They were uncertain about how to balance the selection of the right patients for their trial endpoints with the ability to achieve rapid subject recruitment. Recognizing the Challenge The sponsor’s initial draft protocol specified an estimated glomerular filtration rate (eGFR) of 30-59 ml/ min/1.73m2 and a urinary albumin- to-creatinine ratio (UACR) greater than or equal to 300 mg/g. Although these protocol entry criteria were consistent with the presence of Stage 3 CKD and microalbuminuria, Covance was able to model this and see that rapid recruitment for the Phase II study could be difficult to achieve because of the low prevalence of patients with Type 2 Diabetes who would meet both of these specific criteria for eGFR and UACR. Mining Patient Data to Determine Protocol Viability Mining the extensive LabCorp de-identified clinical laboratory data, which contains more than 30 billion test results across more than 5,000 assays from 150 million de-identified patients, the team searched by ICD codes specific to Type 2 Diabetes, diabetic kidney disease and the desired population’s age range. The rich data from this search enabled the team to evaluate the sponsor’s protocol with a focus on the impact of the strict eligibility criteria noted above. With the sponsor’s original criteria, the percentage of patients who would qualify for the study was <3% – a figure that put the sponsor’s recruitment timeline at risk. Applying Data- Driven Solutions LabCorp de-identified clinical laboratory data helped evaluate the protocol feasibility and the overall design of the study. Database included 1,461,915 patients with Type 2 diabetes who had both an eGFR and a UACR determination. A minor adjustment in eligibility criteria was forecast to double the eligible patient pool – without impacting study endpoints. Sponsor gained unique perspective and new insights to help achieve an acceptable screen fail rate. INCREASED POOL POPULATION BY 50%FOR EFFECTIVE RECRUITMENT
  • 2. Minimizing Screen Failure Rates By modeling a few minor changes to the eGFR and UACR eligibility criteria, the team determined that the pool of potentially eligible patients would more than double, without compromising the objectives of the trial. As a result, the sponsor adjusted their protocol and was able to substantially reduce the risk of a potentially high screen fail rate. Study investigators were enthusiastic about the revised entry criteria and have been recruiting study participants at a greater than expected rate. An Expert Explains the Advantage of Up-to-Date Data Michael D. Cressman, DO, Senior Medical Director and Nephrologist at Covance explains why an initial protocol may not be optimal and can benefit from insights mined from LabCorp clinical data. “We often see that sponsors may reuse eligibility criteria from a previous study or just set reasonable eligibility limits without a good rationale. Many sponsors may also rely on data from the National Health and Nutrition Examination Survey or National Kidney Foundation, but those data, while valuable for some purposes, can be several years old. Given that the standard of care is changing, and new drugs are being introduced, it is critical that sponsors are using the most up-to-date data. Not only is the magnitude of the LabCorp de-identified clinical laboratory data impressive, it contains lab test results that are updated within days. By applying a current, large clinical laboratory database, we can help sponsors optimize renal entry criteria and derive sample size estimates for these trials – a key feature for more accurately informing key protocol design decisions.” REAL-TIME DATA. REAL-WORLD IMPACT. www.covance.com/realimpact Covance Inc., headquartered in Princeton, NJ, USA, is the drug development business of Laboratory Corporation of America Holdings (LabCorp). COVANCE is a registered trademark and the marketing name for Covance Inc. and its subsidiaries around the world. The Americas +1.888.COVANCE (+1.888.268.2623) +1.609.452.4440 Europe / Africa +00.800.2682.2682 +44.1423.500888 Asia Pacific +800.6568.3000 +65.6.5686588 © Copyright 2018 Covance Inc. CSCDS123-1018 Impact of eGFR Eligibility Criteria on Size of Potentially Eligible Pool of Patients with Type 2 diabetes (T2D) and Microalbuminuria 2.85 5.36 7.22 0 1 2 3 4 5 6 7 8 9 10 eGFR 30 to < 60 eGFR 30-89 eGFR 30 or greater % of T2D Population Client’s originally proposed eGFR eligibility range Alternative eGFR eligibility ranges Option 1: 88% increase in pool size Option 2: 253% increase in pool size