Basic↦Statistic Methodology↦Research Question↦Outcome Endpoint Description
Was betrifft es? Warum ist das wichtig?
When describing study outcomes / endpoints one differentiates between:
- The primary outcome – used to determine whether an intervention has the intended effect
- Other or not-primary outcomes believed to be informative, but not directly used to answer the main research question.
Not-primary outcomes/endpoints are generally named
- Secondary: are additional variables monitored during study conduct with the aim to support the interpretation of the primary outcome/endpoint (e.g. in the diabetic study this could be the occurrence of adverse events, ease of drug administration by patients including compliance)
- Safety: are adverse events or negative effects experienced by participants during the course of a study. These outcomes are crucial to evaluate the safety and tolerability of a medical intervention. A safety outcome can be defined as a primary outcome if the primary objective of the study is to assess the safety of the intervention.
- Exploratory: include measurements researchers believe to be informative to generate hypotheses or explore potential effects; they are usually less definitive than secondary endpoints
Mehr
Safety outcomes can include a wide range of effects, from mild discomfort or side effects to severe complications or even death. Common safety outcomes assessed in clinical studies may notably include Adverse events (AEs), Serious adverse events (SAEs), Adverse drug reactions (ADRs).
Was muss ich befolgen?
As a SP-INV:
- Define the primary and not-primary outcome(s)/endpoint(s) of your study during the concept phase of your study (e.g. at the time when selecting your study design)
- Ensure outcome(s)/endpoint(s) match with the research question. Keep in mind that the study is powered to detect a clinically meaningful effect on the primary endpoint, but may not have sufficient statistical power to detect differences in the other endpoints. Therefore:
- Analyses of secondary outcomes should be interpreted with caution, as they are primarily supportive or exploratory rather than confirmatory
- Effect estimates and their confidence intervals may be more informative and appropriate than formal statistical significance testing based on p-values
Wo kann ich Hilfe anfordern?
Your local Research Support Centre↧ can assist you with experienced staff regarding this topic
Basel, Departement Klinische Forschung (DKF), dkf.unibas.ch
Lugano, Clinical Trials Unit (CTU-EOC), ctueoc.ch
Bern, Department of Clinical Research (DCR), dcr.unibe.ch
Geneva, Clinical Research Center (CRC), crc.hug.ch
Lausanne, Clinical Research Center (CRC), chuv.ch
St. Gallen, Clinical Trials Unit (CTU), h-och.ch
Zürich, Clinical Trials Center (CTC), usz.ch
Useful External Links
COMET initiative - to standardize outcomes for clinical trials
References
ICH GCP E6(R3) – see in particular guidelines
- Principles of ICH GCP Nr. 8.2 The scientific objective of a study should be clear
- 3.9.8 Endpoint assessment
- 3.11.4 / 3.11.4.3 Monitoring of trial endpoints
- Appendix B. 4 Trial design - 4.1 Primary / secondary endpoints statement
ICH Topic E8(R1) General considerations for clinical studies - see in particular
- 5.5 Methods to reduce bias
ICH Topic E9(R1) Statistical Principles for Clinical Trials – see in particular
- 2.2.2 Primary and secondary variables
- 2.2.4 Global assessment variables
- 2.2.5 Multiple Primary Variables
- 2.2.7 Categorised variables