Endpoints are response variables, or outcomes, that are measured during the course of a clinical trial. I consider endpoints that are either events (e.g., death) or the time to an occurrence of an event (e.g., time to disease progression). A composite endpoint (CEP) is an endpoint that consists of a number of component endpoints, and is considered to have occurred as soon as any one of its components occurs. For example if CEP = death + disease progression, the CEP is said to have occurred as soon as either the disease progresses or the patient dies. It is seen that one of the results of using a CEP is to increase the event rate; and this in turn can reduce the sample size or the time required to observe a specified number of events, thereby resulting in a speedier, less costly clinical trial. Many believe that the only reason CEPs are ever employed is to this end, viz., saving money. I argue that there may be other circumstances that suggest the use of CEPs – that the choice of the primary response variable should be driven by the question the trial is being designed to answer.
Published in | American Journal of Clinical and Experimental Medicine (Volume 1, Issue 1) |
DOI | 10.11648/j.ajcem.20130101.15 |
Page(s) | 24-34 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2013. Published by Science Publishing Group |
Clinical Trials, Outcome Variables, Event Rates, Win Ratio, Quality of Life
[1] | Arriagada, R., L.E. Rutqvist, A. Kramar, and H. Johansson. 1992. Competing risks determining event-free survival in early breast cancer. British J Cancer 66: 951-7. |
[2] | Berry, D.A., and Y. Hochberg. 1999. Bayesian perspectives on multiple comparisons. J Statistical Planning and Inference 82: 215-27. |
[3] | Braunwald E., C.P. Cannon, C.H. McCabe. 1992. An approach to evaluating thrombolytic therapy in acute myocardial infarction: the unsatisfactory outcome endpoint. Circulation 86: 683-7. |
[4] | Cannon, C.P. 1997. Clinical perspectives on the use of composite endpoints. Controlled Clinical Trials 18: 517-29. |
[5] | Chi, G.Y.H. 2005. Some issues with composite endpoints in clinical trials. Fundamental & Clinical Pharmacology 19: 609-19. |
[6] | FDA. 2006. Guidance for Industry. Patient-Reported Outcome Measures: Use in Medical Product Development to Support Labeling Claims. Available at: http://www.fda.gov/cder/guidance/index.htm |
[7] | Ferreira-Gonzàlez, I., P. Alonso-Coello, I. Solà, et al. 2008. Composite endpoints in clinical trials. Revista Española de Cardiologia 61: 283-90. |
[8] | Ferreira-Gonzàlez, I., G. Permanyer-Miralda, J.W. Busse, et al. 2007. Methodologic discussions for using and interpreting composite endpoints are limited, but still identify major concerns. J Clinical Epidemiology 60: 651-7. |
[9] | Ferreira-Gonzàlez, I., G. Permanyer-Miralda, J.W. Busse, et al. 2007. Composite endpoints in clinical trials: The trees and the forest. J Clinical Epidemiology 60: 660-1. |
[10] | Fleiss, J.L., T. Bigger, Jr., M. McDermott, et al. 1990. Nonfatal myocardial infarction is, by itself, an inappropriate end point in clinical trials in cardiology. Circulation 81: 684-5. |
[11] | Freemantle, N. 2001. Interpreting the results of secondary endpoints and subgroup analyses in clinical trials: Should we lock the crazy aunt in the attic? BMJ 322: 989-91. |
[12] | Freemantle, N., and M. Calvert. 2007. Composite and surrogate outcomes in randomized controlled trials: Composite end points may mislead – and regulators allow it to happen. BMJ 334: 756-7. |
[13] | Freemantle, N., M. Calvert, J. Wood, J. Eastaugh, and C. Griffin. 2003. Composite outcomes in clinical trials: Greater precision but with greater uncertainty. JAMA 289: 2554-9. |
[14] | Friedman, L.M., C.D. Furberg, and D.L. DeMets. 1998. Fundamentals of Clinical Trials, third edition. New York: Springer. |
[15] | Gottlieb, S.S. 1997. Dead is dead – artificial definitions are no substitute. Lancet 349: 662-3. |
[16] | Hirschfeld, S., and R. Pazdur. 2002. Oncology drug development: United States Food and Drug Administration perspective. Critical Reviews in Oncology/Hematology 42: 137-43. |
[17] | ICH. 1999. International Conference on Harmonization of Technical Requirements for Human Use. ICH harmonized tripartite guideline: statistical principles for clinical trials. Statistics in Medicine 18: 1905-42. |
[18] | Johnson, J.R., G. Williams, and R. Pazdur.2003. End points and United States Food and Drug Administration approval of oncology drugs. J Clinical Oncology 21: 1404-11. |
[19] | Kowalski, C.J. 1972. A commentary on the use of multivariate statistical methods in anthropometric research. Am J Physical Anthropology 36: 119-31. |
[20] | Kowalski, C.J. 2010. Pragmatic problems with clinical equipoise. Perspectives in Biology and Medicine 53: 161-73. |
[21] | Kowalski, C.J. 2013. Clinical trials of new drug products: What gets compared to whom? Perspectives in Biology and Medicine In press. |
[22] | Kowalski, C.J., J. Bernheim, N.A. Birk, and P. Theuns. 2012. Felicitometric hermeneutics: Interpreting quality of life measurements. Theoretical Medicine and Bioethics 33: 207-20. |
[23] | Kowalski, C.J., and J.L. Hewett. 2009. Data and safety monitoring boards: Some enduring questions. J Law, Medicine & Ethics 37: 496-506. |
[24] | Kowalski, C.J., and A. Mrdjenovich. 2013. Patient preference clinical trials: Why and when they will sometimes be preferred. Perspectives in Biology and Medicine 56: 18-35. |
[25] | Kowalski, C.J., S. Pennell, and A. Vinokur. 2008. Felicitometry: Measuring the ‘quality’ in quality of life. Bioethics 22: 307-13. |
[26] | Lambert, M.F., and J. Wood. 2000. Incorporating patient preferences into randomized trials. J Clinical Epidemiology 53: 163-6. |
[27] | Lauer, M.S., E.H. Blackstone, J.B. Young, and E.J. Topol. 1999. Cause of death in clinical research: time for a reassessment? J Am Coll Cardiology 34: 618-20. |
[28] | Lauer, M.S., and E.J. Topol. 2003. Clinical trials – multiple treatments, multiple end points, and multiple lessons. JAMA 2003: 2575-7. |
[29] | Lubsen, J., and B-A. Kirwan. 2002. Combined endpoints: can we use them? Statistics in Medicine 21: 2959-70. |
[30] | Montori, V.M., G. Permanyer-Miralda, I. Ferreira-Gonzàlez, J.W. Busse, et al. 2005. Validity of composite end points in clinical trials. BMJ 330: 594-6. |
[31] | Neaton, J.D., G. Gray, B.D. Zuckerman, and M.A. Konstam. 2005. Key issues in end point selection for heart failure trials: Composite end points. J Cardiac Failure 11: 567-75. |
[32] | O’Brien, P.C., and N.L. Geller. 1997. Interpreting tests for efficacy in clinical trials with multiple endpoints. Controlled Clinical Trials 18: 222-7. |
[33] | Pazdur, R. 2008. Endpoints for assessing drug activity in clinical trials. The Oncologist 13 (suppl 2): 19-21. |
[34] | Pocock, S.J., C.A. Ariti, T.J. Collier, and D. Wang. 2012. The win ratio: a new approach to the analysis of composite endpoints in clinical trials based on clinical priorities. European Heart Journal 33: 176-82. |
[35] | Rothman, K.J. 1990. No adjustments are needed for multiple comparisons. Epidemiology 1: 43-6. |
[36] | Sackett, D.L., and J.E. Wennberg. 1997. Choosing the best research design for each question: It’s time to stop squabbling over the "best" methods. BMJ 315: 1636. |
[37] | Schultz, K.F., and D.A. Grimes. 2005. Multiplicity in randomized trials I: endpoints and treatments. Lancet 365: 1591-5. |
[38] | Schwartz, D., R. Flamant, and J. Lellouch. Translated by M.J.R. Healy. 1980. Clinical Trials. New York: Academic Press. |
[39] | Torp-Pedersen, C., M. Mǿller, P.E. Bloch-Thomsen, L. Kober et al. 1999. Dofetilide in patients with congestive heart failure and left ventricular dysfunction. NEJM 341: 857-65. |
[40] | Yusuf, S., and A. Negassa. 2002. Choice of clinical outcomes in randomized trials of heart failure therapies: disease-specific or overall outcomes? Am Heart J 143: 22-8. |
[41] | Zhang, J., H. Quan, J. Ng, and M.E. Stepanavage. 1997. Some statistical methods for multiple endpoints in clinical trials. Controlled Clinical Trials 18: 204-21. |
[42] | Zivin, J.A. 2000. Understanding clinical trials. Scientific American 282: 69-75. |
APA Style
Charles J Kowalski. (2013). Composite Endpoints: Sometimes More than a Solely Economic Consideration. American Journal of Clinical and Experimental Medicine, 1(1), 24-34. https://doi.org/10.11648/j.ajcem.20130101.15
ACS Style
Charles J Kowalski. Composite Endpoints: Sometimes More than a Solely Economic Consideration. Am. J. Clin. Exp. Med. 2013, 1(1), 24-34. doi: 10.11648/j.ajcem.20130101.15
AMA Style
Charles J Kowalski. Composite Endpoints: Sometimes More than a Solely Economic Consideration. Am J Clin Exp Med. 2013;1(1):24-34. doi: 10.11648/j.ajcem.20130101.15
@article{10.11648/j.ajcem.20130101.15, author = {Charles J Kowalski}, title = {Composite Endpoints: Sometimes More than a Solely Economic Consideration}, journal = {American Journal of Clinical and Experimental Medicine}, volume = {1}, number = {1}, pages = {24-34}, doi = {10.11648/j.ajcem.20130101.15}, url = {https://doi.org/10.11648/j.ajcem.20130101.15}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajcem.20130101.15}, abstract = {Endpoints are response variables, or outcomes, that are measured during the course of a clinical trial. I consider endpoints that are either events (e.g., death) or the time to an occurrence of an event (e.g., time to disease progression). A composite endpoint (CEP) is an endpoint that consists of a number of component endpoints, and is considered to have occurred as soon as any one of its components occurs. For example if CEP = death + disease progression, the CEP is said to have occurred as soon as either the disease progresses or the patient dies. It is seen that one of the results of using a CEP is to increase the event rate; and this in turn can reduce the sample size or the time required to observe a specified number of events, thereby resulting in a speedier, less costly clinical trial. Many believe that the only reason CEPs are ever employed is to this end, viz., saving money. I argue that there may be other circumstances that suggest the use of CEPs – that the choice of the primary response variable should be driven by the question the trial is being designed to answer.}, year = {2013} }
TY - JOUR T1 - Composite Endpoints: Sometimes More than a Solely Economic Consideration AU - Charles J Kowalski Y1 - 2013/07/20 PY - 2013 N1 - https://doi.org/10.11648/j.ajcem.20130101.15 DO - 10.11648/j.ajcem.20130101.15 T2 - American Journal of Clinical and Experimental Medicine JF - American Journal of Clinical and Experimental Medicine JO - American Journal of Clinical and Experimental Medicine SP - 24 EP - 34 PB - Science Publishing Group SN - 2330-8133 UR - https://doi.org/10.11648/j.ajcem.20130101.15 AB - Endpoints are response variables, or outcomes, that are measured during the course of a clinical trial. I consider endpoints that are either events (e.g., death) or the time to an occurrence of an event (e.g., time to disease progression). A composite endpoint (CEP) is an endpoint that consists of a number of component endpoints, and is considered to have occurred as soon as any one of its components occurs. For example if CEP = death + disease progression, the CEP is said to have occurred as soon as either the disease progresses or the patient dies. It is seen that one of the results of using a CEP is to increase the event rate; and this in turn can reduce the sample size or the time required to observe a specified number of events, thereby resulting in a speedier, less costly clinical trial. Many believe that the only reason CEPs are ever employed is to this end, viz., saving money. I argue that there may be other circumstances that suggest the use of CEPs – that the choice of the primary response variable should be driven by the question the trial is being designed to answer. VL - 1 IS - 1 ER -