PMID- 22561389 OWN - NLM STAT- MEDLINE DCOM- 20121217 LR - 20191210 IS - 1559-2030 (Electronic) IS - 1551-7144 (Linking) VI - 33 IP - 5 DP - 2012 Sep TI - The measurement of symptoms and side effects in clinical trials of chronic pain. PG - 903-11 LID - 10.1016/j.cct.2012.04.008 [doi] AB - Clinical trials in chronic pain have used various methods to assess the effect of medications. In addition to measuring symptom relief, researchers must also address adverse events (AEs) associated with the medication to evaluate overall therapeutic results. This paper reviews methods of measuring symptoms and AEs, including passive capture, scripted prompting, prospective assessments of side effects of interest, and prospective comprehensive symptom checklists. Methods of measuring therapeutic results have advantages and disadvantages. Although passive AE capture (unscripted, open-ended questions about symptoms) is not constrained by preconceptions of potential AEs, it sometimes fails to capture clinically significant AEs. Scripted prompting (prespecified, scripted, open-ended questions about symptoms) is likely to address the latter problem but preclude consistency across trials. Prospective assessments (prespecified symptom inventories) can offer greater sensitivity and consistency in detecting side effects of specific treatments. Comprehensive symptom distress inventories can be more sensitive measures of overall treatment benefit, which may be important when efficacy, passive AE capture, and comprehensive quality of life (QOL) batteries fail to differentiate between treatments. In cancer populations these inventories have been statistically correlated with survival and other important clinical outcomes, even after controlling for disease status, global QOL, psychological state, and performance status. Other important considerations are patient perceptions of the importance of symptoms, the correlations between QOL and symptom distress, and the usefulness of global ratings, in which patients integrate any perceived benefits of the medication with tolerability and other factors, such as convenience and cost. CI - Copyright (c) 2012 Elsevier Inc. All rights reserved. FAU - Katz, Nathaniel P AU - Katz NP AD - Program on Opioid Risk Management, Tufts University School of Medicine, Boston, MA 02111, USA. nkatz@analgesicsolutions.com LA - eng PT - Journal Article PT - Review DEP - 20120425 PL - United States TA - Contemp Clin Trials JT - Contemporary clinical trials JID - 101242342 SB - IM MH - Chronic Pain/*drug therapy MH - Clinical Trials as Topic/*methods MH - Data Collection/methods MH - Drug-Related Side Effects and Adverse Reactions/*epidemiology MH - Humans MH - Outcome Assessment, Health Care/*methods MH - Quality of Life MH - Survival Analysis EDAT- 2012/05/09 06:00 MHDA- 2012/12/18 06:00 CRDT- 2012/05/08 06:00 PHST- 2012/01/10 00:00 [received] PHST- 2012/03/29 00:00 [revised] PHST- 2012/04/13 00:00 [accepted] PHST- 2012/05/08 06:00 [entrez] PHST- 2012/05/09 06:00 [pubmed] PHST- 2012/12/18 06:00 [medline] AID - S1551-7144(12)00102-4 [pii] AID - 10.1016/j.cct.2012.04.008 [doi] PST - ppublish SO - Contemp Clin Trials. 2012 Sep;33(5):903-11. doi: 10.1016/j.cct.2012.04.008. Epub 2012 Apr 25.