Chronic Pain Master Protocol (CPMP): A Study of LY3016859 in Participants With Chronic Low Back Pain

The NRS was used during the preliminary data entry period and daily throughout the study to describe pain severity. Participants were asked to describe their average pain over the past 24 hours, on a scale of 0 to 10: 0 = no pain, and 10 = pain as bad as you can imagine.

Posterior mean change from baseline, 95% credible interval (CrI) was derived using Bayesian mixed model repeated measures. The Bayesian analyses include posterior probabilities instead of p-values, and 95% credible intervals instead of 95% confidence intervals

The RMDQ is a simple, sensitive, and reliable method to measure disability in patients with back pain that consists of 24 statements relating to the person's perceptions of back pain and associated disability based on physical ability/activity, sleep/rest, psychosocial, household management, eating, and pain frequency. Participants are asked if they feel the statement is descriptive of their own circumstance on that day. The total score is obtained by counting the number of ''Yes'' responses, ranging from: 0 = no disability to 24 = maximal disability.

Posterior mean change from baseline, 95% CrI was derived using Bayesian mixed model repeated measures. The Bayesian analyses include posterior probabilities instead of p-values, and 95% credible intervals instead of 95% confidence intervals.

Patients Global Impression of Change captured the participant's perspective of treatment apart from sub-aspects of the general improvement. This is a numeric scale from 1 to 7: 1 = very much better, and 7 = very much worse.

Posterior mean change from baseline, 95% CrI was derived using Bayesian mixed model repeated measures. The Bayesian analyses include posterior probabilities instead of p-values, and 95% credible intervals instead of 95% confidence intervals.

The NRS was used during the preliminary data entry period and daily throughout the study to describe pain severity. Participants were asked to describe their worst pain over the past 24 hours, on a scale of 0 to 10: 0 = no pain, and 10 = pain as bad as you can imagine.

Posterior mean change from baseline, 95% CrI was derived using Bayesian mixed model repeated measures. The Bayesian analyses include posterior probabilities instead of p-values, and 95% credible intervals instead of 95% confidence intervals.

VAS was a graphic, single-item scale where participants were asked to describe their pain intensity over the past week, on a scale of 0 to 100: 0 = no pain, and 100 = worst imaginable pain. Participants completed the VAS by placing a line perpendicular to the VAS line at a point that described their pain intensity.

Posterior mean change from baseline, 95% CrI was derived using Bayesian mixed model repeated measures. The Bayesian analyses include posterior probabilities instead of p-values, and 95% credible intervals instead of 95% confidence intervals.

The MOS Sleep Scale consists of 12 questions addressing the past week. Participants reported how often each sleep symptom or problem was present on a 5-point categorical scale ranging from 'all of the time' to 'none of the time.' It includes 12 questions with the first question assessing how long it takes the subject to fall asleep. The second question asks how many hours each night the subject slept. The remaining 10 questions have a range of 6 responses from 1="all of the time" to 6="none of the time". MOS Sleep scale scores range from 0 (min) to 100 (max). The original survey items are converted to a 0 to 100 range (by Converting 1 to 0, 2 to 25, 3 to 50, 4 to 75, and 5 to 100). Higher scores represent worse outcomes.

Posterior mean change from baseline, 95% CrI was derived using Bayesian longitudinal model. The Bayesian analyses include posterior probabilities instead of p-values, and 95% credible intervals instead of 95% confidence intervals.

Total Amount of Rescue Medication Use as Measured by Average Dosage per Week. Posterior mean change from baseline, 95% CrI was derived using Bayesian mixed model repeated measures. The Bayesian analyses include posterior probabilities instead of p-values, and 95% credible intervals instead of 95% confidence interval.

The EQ-5D-5L assessed quality of life based on 5 dimensions: mobility, self-care, usual activities, pain/discomfort, and anxiety/depression. The participant was asked to 'check the ONE box that best describes your health TODAY,' choosing from 5 options (no problems, slight problems, moderate problems, severe problems, extreme problems) provided under each dimension. The scores in the 5 dimensions were summarized into a health state index score. The health state index value is a single value on a scale from less than 0 to 1 (negative values are valued as worse than dead) with higher scores indicating better health: 0 = a health state equivalent to death, and 1 = perfect health.

Posterior mean change from baseline, 95% CrI was derived using Bayesian mixed model repeated measures. The Bayesian analyses include posterior probabilities instead of p-values, and 95% credible intervals instead of 95% confidence intervals.