Estimating minimal, moderate, and marked clinically important differences for patient reported outcome measure in randomised controlled trial
Clinical Snapshot
PICO Framework
| P — Population | 440 men with chronic prostatitis/chronic pelvic pain syndrome (CP/CPPS) |
| I — Intervention | Acupuncture therapy |
| C — Comparator | Sham acupuncture |
| O — Outcomes | NIH Chronic Prostatitis Symptom Index (NIH-CPSI) scores with Patient Global Impression of Change (PGI-C) as anchor for clinically important differences |
Bottom Line
This methodological study provides valuable CID thresholds for the NIH-CPSI in chronic pelvic pain, distinguishing within-group changes (4.6-7.3 points) from between-group treatment effects (1.4-4.1 points). The framework addresses a critical gap in PROM interpretation by separating individual patient improvement from comparative treatment efficacy. While the underlying RCT appears methodologically sound with good retention, limited reporting of randomisation details and absence of safety data limit full assessment. The CID thresholds offer practical benchmarks for clinicians treating chronic pelvic pain and researchers designing future trials. Australian practitioners can apply these thresholds when using NIH-CPSI to assess treatment response, though the framework's broader applicability to other PROMs requires validation. The distinction between within-group and between-group CIDs is particularly valuable for shared decision-making and clinical guideline development.
Key Findings
P Value: Not reported
Effect Size: Within-group CIDs: 4.6 (minimal), 6.0 (moderate), 7.3 (marked) points
Primary Outcome: NIH-CPSI score changes categorised by Patient Global Impression of Change
Nnt Or Sensitivity: Between-group CIDs: 1.4 (minimal), 2.7 (moderate), 4.1 (marked) points difference
Confidence Interval: Not reported
Clinical Application
NIH-CPSI readily available and validated; framework applicable to other PROMs with appropriate anchors Relevant to Australian urologists and pain specialists; NIH-CPSI used in Australian clinical practice; framework could inform TGA submissions and clinical guidelines Men with chronic prostatitis/chronic pelvic pain syndrome in primary and specialist care settings
Abstract
BACKGROUND: Patient-reported outcome measures (PROMs) are increasingly used in clinical trials, yet thresholds that define clinically important difference (CID) within patients and treatment effects beyond placebo remain inconsistently reported, limiting its utility in clinical research and practice. Using chronic pelvic pain and its core PROM as a worked example, the study aims to present a structured framework for CID thresholds that separates within-group change from between-group difference in treatment effect, each further stratified as minimal, moderate, and marked. METHODS: We used data from a multicenter randomized controlled trial of acupuncture vs . sham acupuncture in 440 men with chronic prostatitis (CP)/chronic pelvic pain syndrome (CPPS) conducted from October 2017 to April 2019. National Institutes of Health Chronic Prostatitis Symptom Index (NIH-CPSI) served as the PROM and the Patient Global Impression of Change (PGI-C) as the anchor. CIDs were estimated using a linear mixed-effects model to assess changes in NIH-CPSI scores across PGI-C categories. RESULTS: At the end of treatment, 12.3% (51/414) participants reported no change, 34.1% (141/414) slight improvement, 32.1% (133/414) moderate improvement, and 19.6% (81/414) marked improvement; and 1.9% (8/414) reported worsening. The estimated Clinically important within-group difference (CIDs within-group ) in NIH-CPSI total score was 4.6 points for minimal, 6.0 points for moderate, and 7.3 points for marked improvement. The corresponding Clinically important between-group difference (CIDs between-group ) were 1.4, 2.7, and 4.1 points, respectively. CONCLUSIONS: In this methodological study, we proposed a pragmatic and scalable operational framework to derive thresholds for minimal, moderate, and marked CIDs. By explicitly distinguishing CIDs within-group and CIDs between-group , the approach clarifies two frequently conflated terms that serve distinct purposes in interpretation and decision-making. This framework offers benchmarks to strengthen inference on treatment response, trial design, and guideline decision thresholds.
References
- 1.Wu, J., Yao, L., Liao, K., Yorke, J., Yu, Y., Liu, Z., Yao, X., & Qin, Z. (2026). Estimating minimal, moderate, and marked clinically important differences for patient reported outcome measure in randomised controlled trial. Chinese Medical Journal. https://doi.org/10.1097/CM9.0000000000004084
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