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Updated: Jun 23, 2026

Assessment and Communication for People with Disorders of Consciousness
Published on: August 1, 2017
The Clinical Global Impressions scale: errors in understanding and use.
Joan Busner1, Steven D Targum, David S Miller
1Department of Psychiatry, Penn State College of Medicine, Hershey, PA, USA. joan.busner@unitedbiosource.com
Clinical investigators rated patient narratives using Clinical Global Impressions scales (CGI-S and CGI-I). Including unrelated adverse events skewed these efficacy ratings, potentially masking drug effectiveness in clinical trials.
Area of Science:
- Psychopharmacology
- Clinical Trial Methodology
- Biostatistics
Background:
- The Clinical Global Impressions Severity (CGI-S) and Improvement (CGI-I) scales are critical for assessing drug efficacy in new psychopharmacology applications.
- Ensuring the integrity of these widely used measures is essential for accurate drug development and regulatory review.
Purpose of the Study:
- To investigate whether clinical trial investigators incorporate information unrelated to treatment efficacy into their CGI-S and CGI-I ratings.
- To determine the impact of indication-unrelated adverse events on the validity of CGI ratings in psychopharmacology studies.
Main Methods:
- Forty-five principal investigators rated patient narratives for major depressive disorder or generalized anxiety disorder using CGI-S and CGI-I scales.
- Investigators were randomized to receive narratives with or without unrelated medical or psychiatric adverse events.
- A survey assessed investigators' perceptions of how unrelated adverse events influence their CGI ratings.
Main Results:
- CGI-S and CGI-I ratings were significantly more severe and indicated less improvement when narratives included unrelated adverse events (P < .04).
- Despite self-reported objectivity, investigators' ratings were demonstrably influenced by unrelated medical and psychiatric adverse events.
- A significant difference in CGI-S ratings was observed when unrelated medical adverse events were present (P < .03).
Conclusions:
- The inclusion of indication-irrelevant adverse events in CGI ratings compromises the validity of the CGI as a measure of treatment efficacy.
- This bias may lead to a failure in detecting true efficacy signals in psychopharmacology clinical trials.
- Standardizing rating procedures and investigator training is crucial to mitigate bias and ensure reliable efficacy assessments.
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