1. Trajectories of Symptom Occurrence and Severity From Before Through Five Months After Lung Cancer Surgery 
Trine Oksholm, RN, MNSc, Tone Rustoen, RN, PhD, Bruce Cooper, PhD, Steven M. Paul, PhD, Steinar Solberg, MD, PhD, Kari Henriksen, RN, Johny Steinar Kongerud, MD, PhD, Christine Miaskowski, RN, PhD 
Journal of Pain and Symptom Management 
Volume 49, Issue 6, Pages (June 2015)
DOI: /j.jpainsymman
Copyright © 2015 American Academy of Hospice and Palliative Medicine Terms and Conditions

2. Fig. 1
Flowchart of the enrollment and exclusion of patients in the study.
Journal of Pain and Symptom Management  , DOI: ( /j.jpainsymman )
Copyright © 2015 American Academy of Hospice and Palliative Medicine Terms and Conditions

3. Fig. 2
Observed (open circles) and predicted (filled circles) trajectories for the probability of the occurrence of a) pain, b) lack of energy, c) feeling drowsy, d) difficulty sleeping, and e) worrying across the five months of the study. The figures that illustrate the unconditional and conditional models for the occurrence of the various symptoms can be interpreted using the following explanation. For the unconditional models, each of the figures illustrates the change in the observed and predicted probability of the occurrence of that symptom over time. For the conditional models, the predicted probability is the probability that a patient would report the occurrence of each symptom based on a one-unit increase in the predictor. This predicted probability can be compared with the observed responses at each time point to determine how well the estimated trajectories match the observed responses.
Journal of Pain and Symptom Management  , DOI: ( /j.jpainsymman )
Copyright © 2015 American Academy of Hospice and Palliative Medicine Terms and Conditions

4. Fig. 3
Observed and predicted trajectories for the probability of a higher versus a lower severity rating for a) pain, b) lack of energy, c) feeling drowsy, d) difficulty sleeping, and e) worrying across the five months of the study. Severity ratings are plotted as observed (open symbols) and predicted (filled symbols) values for slight versus moderate to very severe, slight/moderate versus severe/very severe, and slight to severe vs. very severe. The figures that illustrate the unconditional and conditional models for the severity ratings for the various symptoms can be interpreted using the following explanation. For each of the unconditional models, each line within each figure illustrates the predicted probabilities that a patient would give a severity rating one-unit higher on the ordinal symptom severity or distress scale, for an increase of one unit on the time scale (i.e., moving from 1 to 2, 2 to 3, and 3 to 4). The computed probabilities for each plot are based on the combined influence of the linear and quadratic coefficients, which produces a trajectory that includes a “bend” in the line.
Journal of Pain and Symptom Management  , DOI: ( /j.jpainsymman )
Copyright © 2015 American Academy of Hospice and Palliative Medicine Terms and Conditions

5. Fig. 4
Observed and predicted trajectories for the probability of a higher vs. a lower severity rating for pain across the five months of the study for patients who were a) male and b) female; for the probability of a higher vs. a lower severity rating for cough for patients who c) did not receive and d) did have adjuvant CTX; and for the probability of a higher vs. a lower severity rating for cough for patients who were e) aged younger than 65 years and f) aged 65 years or older. Severity ratings are plotted as observed (open symbols) and predicted (filled symbols) values for slight vs. moderate to very severe, slight/moderate vs. severe/very severe, and slight to severe vs. very severe. CTX = chemotherapy; SOB = shortness of breath.
Journal of Pain and Symptom Management  , DOI: ( /j.jpainsymman )
Copyright © 2015 American Academy of Hospice and Palliative Medicine Terms and Conditions

6. Fig. 5
Observed (open symbols) and predicted (filled symbols) trajectories for the probability of the occurrence of a) cough and b) SOB across the five months of the study. The figures that illustrate the unconditional and conditional models for the occurrence of the various symptoms can be interpreted using the following explanation. For the unconditional models, each of the figures illustrates the change in the observed and predicted probability of the occurrence of that symptom over time. For the conditional models, the predicted probability is the probability that a patient would report the occurrence of each symptom based on a one-unit increase in the predictor. This predicted probability can be compared with the observed responses at each time point to determine how well the estimated trajectories match the observed responses. SOB = shortness of breath.
Journal of Pain and Symptom Management  , DOI: ( /j.jpainsymman )
Copyright © 2015 American Academy of Hospice and Palliative Medicine Terms and Conditions

7. Fig. 6
Observed and predicted trajectories for the probability of a higher vs. a lower severity rating for a) cough, b) SOB, c) SOB at rest, d) SOB when walking, and e) SOB-climbing stairs across the five months of the study. Severity ratings for Memorial Symptom Assessment Scale items (i.e., cough and SOB) are plotted as observed (open symbols) and predicted (filled symbols) values for slight vs. moderate to very severe, slight/moderate vs. severe/very severe, and slight to severe vs. very severe. Severity ratings for The European Organization for Research and Treatment of Cancer-Lung Cancer-Specific Questionnaire items (i.e., SOB at rest, SOB-walking, and SOB-climbing stairs) are plotted as observed (open symbols) and predicted (filled symbols) values for not at all vs. quite a bit to very much, not at all/a little vs. quite a bit/very much, and not at all to quite a bit vs. very much. The figures that illustrate the unconditional and conditional models for the severity ratings for the various symptoms can be interpreted using the following explanation. For each of the unconditional models, each line within each figure illustrates the predicted probabilities that a patient would give a severity rating one-unit higher on the ordinal symptom severity or distress scale, for an increase of one unit on the time scale (i.e., moving from 1 to 2, 2 to 3, and 3 to 4). The computed probabilities for each plot are based on the combined influence of the linear and quadratic coefficients, which produces a trajectory that includes a “bend” in the line. SOB = shortness of breath.
Journal of Pain and Symptom Management  , DOI: ( /j.jpainsymman )
Copyright © 2015 American Academy of Hospice and Palliative Medicine Terms and Conditions

8. Fig. 7
Observed (open symbols) and predicted (filled symbols) trajectories for the probability of the occurrence of difficulty sleeping across the five months in patients who a) had an SCQ score below the median and b) an SCQ score above the median for the sample. SCQ = Self-Administered Comorbidity Questionnaire.
Journal of Pain and Symptom Management  , DOI: ( /j.jpainsymman )
Copyright © 2015 American Academy of Hospice and Palliative Medicine Terms and Conditions