3 Trial Objectives and Endpoints

3.1 Introduction to objectives and endpoints

[allowframebreaks]

The objective of a clinical trial is the research question phrased in concise quantitative terms.

So-called endpoints are obtained and used to answer the research question of interest.

Example: asthma trial

  • objective: to improve lung function

  • endpoint: forced expiratory volume in one second - FEV1

Piantadosi (1997), p 127

Endpoints are the quantitative measurements implied or required by the objectives. An endpoint is determined in each study subject, whereas the objectives are met by the aggregate of endpoints.’


The choice of primary endpoint is crucial and should be clearly stated in the research protocol. Secondary endpoints often feature too.

Sample size calculations are based upon the primary endpoint (efficacy measure) - more on this later.

3.2 Further trial objectives

[allowframebreaks]

Estimation of an important quantity is often phase specific. For example:

  • maximum tolerated dose (MTD) in phase I trials

  • dose-response relationship (function) in phase II

  • treatment differences in phase III ( in means/proportions)

  • event rates of adverse events in phase IV,

or when selecting a treatment regime.
For example:

  • “optimal dose”

  • testing procedures

  • time.

3.3 “hard” vs. “soft” endpoints

[allowframebreaks]

“hard”: preferred!

  • Well defined and reliable

  • no subjectivity, objectively measured

  • examples: death, presence of ulceration, laboratory measurements (e.g weight, blood pressure, serum cholesterol).

“soft”

  • difficult to define, subjective measures

  • examples: satisfaction with treatment, pain (Visual Analogue Scales), depression etc (i.e. subjective measures).

Between the extremes: e.g. pathologic classification depending on expert’s opinion and experience, but reliable.

3.4 Measurement scales

[allowframebreaks]

Numerical (or quantitative)
  • discrete: e.g. length of stay in hospital[days]; number of seizures

  • continuous: e.g. laboratory parameters; blood pressure; serum cholesterol.

Categorical (or qualitative)
  • ordered: e.g. pain: minimal/ moderate/ severe/ unbearable

  • nominal:

    e.g. juvenile-onset diabetes/ maturity-onset diabetes/ non-diabetic

  • special case: binary

    e.g. diabetic / non-diabetic.

Analysis methods are dependent upon the scale of measurement.

3.5 Some special endpoints

[allowframebreaks]

Percentage change

from baseline.

Count data

no. of events within certain time interval.

Survival

follow-up time and indicator variable (event/censored).

Repeated measurements over time

correlated observations within a patient.

Quality of life

psychological and functional features.

We shall not cover these in any more detail here as each is a large topic in its own right.

3.6 Surrogate endpoints

[allowframebreaks]

Also called “surrogate markers”, “intermediate”, or “replacement endpoint”.

ICH E9 (glossary)

“Surrogate variable: A variable that provides an indirect measurement of effect in situations where direct measurement of clinical effect is not feasible or practical.”

Often measures extent or progress of disease.
Association with clinically meaningful outcome.
Further reading: Prentice RL (1989) Stat Med 8: 431-440.

3.7 Examples of Surrogate endpoints

[allowframebreaks]

Disease Definitive Surrogate
HIV inf. AIDS (or death) CD4+ count
cancer mortality tumor size reduction
cardiovascular stroke, MI BP, cholesterol
glaucoma vision loss intraocular pressure

Taken from Piantadosi (1997), Table 6.3.

Prentice’ Criterion, 1989

“ a surrogate endpoint should capture the dependence between the true endpoint and the treatment arm.”

The true endpoint represents the gold-standard/