Literature DB >> 1976795

On the use of laboratory markers as surrogates for clinical endpoints in the evaluation of treatment for HIV infection.

S G Machado1, M H Gail, S S Ellenberg.   

Abstract

There are strong ethical and practical reasons for hastening decision-making about the efficacy of new treatments for human immunodeficiency virus (HIV) infection. One strategy is to use early markers of disease progression, such as CD4+ lymphocyte levels, as surrogates for ultimate clinical endpoints, such as the development of acquired immune deficiency syndrome (AIDS) or death, in the evaluation of new therapies. We used a simple model of transitions among three health states (well; alive but with an adverse marker; and having experienced a definitive clinical endpoint) to examine the extent to which treatment comparisons based on the surrogate endpoint predict ultimate clinical benefits. With parameters chosen to model the treatment of HIV infection, computer simulations of clinical trials demonstrated substantial time savings by use of the surrogate endpoint. However, reliance on the surrogate led to serious overestimates of ultimate clinical benefit if treatment entailed delayed toxicity or had only transient beneficial effects. Likewise, reliance on the surrogate led to serious underestimates of ultimate clinical benefit when the treatment had no effect on the transition from well to the marker state but did reduce the rates of transition from the marker state to the ultimate clinical endpoint and directly from the well state to the ultimate clinical endpoint.

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Year:  1990        PMID: 1976795

Source DB:  PubMed          Journal:  J Acquir Immune Defic Syndr (1988)        ISSN: 0894-9255


  3 in total

1.  Surrogate end points in clinical trials.

Authors:  S S Ellenberg
Journal:  BMJ       Date:  1991-01-12

2.  AIDS and COVID: A tale of two pandemics and the role of statisticians.

Authors:  Susan S Ellenberg; Jeffrey S Morris
Journal:  Stat Med       Date:  2021-05-20       Impact factor: 2.373

3.  Surrogate endpoints.

Authors:  S S Ellenberg
Journal:  Br J Cancer       Date:  1993-09       Impact factor: 7.640

  3 in total

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