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What can Phase I clinical trials tell us about quality of life? A pilot study (MC0115)

Pamela J Atherton

Department of Health Sciences Research, Division of Biomedical Statistics and Informatics, Mayo Clinic, USA

E-mail : atherton@mayo.edu

Daniel W Szydlo

Department of Health Sciences Research, Division of Biomedical Statistics and Informatics, Mayo Clinic, USA

Charles Erlichman

Department of Oncology, Mayo Clinic, USA

Jeff A Sloan

Department of Health Sciences Research, Division of Biomedical Statistics and Informatics, Mayo Clinic, USA

DOI: 10.15761/CRT.1000104

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Abstract

Background: Psychological aspects of patient well-being are not typically included in Phase I clinical trials. We sought to investigate patients’ quality of life (QOL) experience, and determine relationships between QOL deficits, treatment outcomes and adverse events.

Methods: Patients completed the Linear Analogue Self Assessment (LASA), Control Preferences Scale (CPS), and Trial Satisfaction (TS) survey. The primary endpoint was change in QOL during cycle 1. Exploratory analyses were conducted utilizing Student’s t-test, Wilcoxon, and correlation methodologies.

Results: 23 evaluable patients from 12 trials had an average drop of 0.4 points in overall QOL (effect size (ES) 0.36, p=0.08). Decreases were seen in Physical Well-Being (0.7 points; ES 0.41, p=0.04), Emotional Well-Being (0.6 points, ES 0.46, p=0.04), and Mood (0.9 points, ES 0.50, p=0.03). Four patients experienced a clinically meaningful QOL deficiency (decrease of 2+ points). QOL with AE grade correlations were weak, the highest being for Emotional WB and Hopefulness (r=-0.41, r=-0.35). Patients reported trial satisfaction but did not feel trial participation improved QOL.

Conclusions: Despite being satisfied with trial experience, significant deficits occurred in QOL subcomponents. It seems advisable to include QOL assessments to identify areas of focus for the alleviation of physical and psychosocial health related QOL

Key words

quality of life, phase I, satisfaction, control preferences, clinical trial

Abbreviations

QOL: Quality of life, AE: Adverse event, WB: Well-being, CPS: Control preferences scale, LASA: Linear analogue self assessment, TS: Trial satisfaction, CTC: Common toxicity criteria

Background

Quality of Life (QOL) of Phase I oncology clinical trial patients is of interest as the goals of clinicians (defining the maximum tolerated treatment dose and exploring the adverse event (AE) profile) are not necessarily the goals of the patient (finding a cure) [1-6]. Numerous meta-analyses have shown tumor response rates are low on these trials (below 18%); thus, rather than curative, the Phase I experience is more likely that of symptom exacerbation and treatment-related toxicity [7-11]. The potential patient disappointment could create QOL deficits. Studies in palliative care and hospice settings, in particular, have indicated the lack of alignment between expectations and outcomes can lead to detriments in psychosocial well-being (WB) and QOL [12-17]. They also indicate that addressing the detriments can provide psychological benefit.  

This prospective, exploratory, hypothesis-generating study was designed to assess QOL in Phase I oncology patients enrolled at the Mayo Clinic. The primary hypothesis was to characterize changes in overall QOL during the first cycle of treatment. Secondary hypotheses included describing clinician-rated AEs compared to QOL deficits in all domains, as one or the other may not be sufficiently sensitive to identify patient symptoms. It was also hoped to confirm treatment decision making, hopefulness and perceived potential benefit are important for participation and success.

Methods

Patient eligibility

Potential participants in this companion trial were those enrolled on any existing Phase I clinical treatment trial at the Mayo Clinic, without limitation, between September 2002 and March 2007. Clinician and study coordinator discretion determined whether a patient was asked to participate. Eligible patients provided informed consent, were at least 18 years of age, had either advanced solid or hematologic cancers, and had the ability to complete questionnaires. Patients were ineligible if a primary clinician determined the patient had cognitive impairment. This study was approved by the Mayo Clinic Institutional Review Board (#183-02).

Data collection

Patients were asked to complete 3 QOL assessments.

  1. The Control Preferences Scale (CPS), completed at baseline, consists of two questions measuring patient current and preferred input in the treatment decision-making process. Answers indicated active, collaborative or passive roles. The tool is related to satisfaction with care and patient survival [18].
  2. Linear Analogue Self Assessment (LASA) measures were completed at baseline and end of cycle 1.  Thirteen individually scored questions measured overall QOL and QOL subdomains (Table 3). These items have been validated at the Mayo Clinic for use in cancer patients [14].
  3. The Trial Satisfaction (TS) survey was completed at the end of cycle 1. The 4 questions assess the degree of patient satisfaction experienced by participating in a trial. These items were adapted from a similar study on patient expectations of clinical trials [3].

Previous research has shown that single item questions are as reliable and valid as their multiple item counterparts [19], thus to avoid undue burden, these were chosen for this study.

Statistical methods

LASA and TS items were measured on a scale from 0-10, where 10 indicated best QOL. Cycle 1 QOL changes from baseline were calculated. Negative changes denote decreases in QOL. Thus, for clarification, a decrease in pain severity or pain frequency indicates worsening symptoms. Patients were categorized according to a clinically significant decrease in overall QOL (2+ point decrease) [20].

The primary hypothesis was tested using a Student’s t-test on the primary endpoint; change from baseline during cycle 1 in LASA overall QOL. Analyses of the secondary QOL endpoints were conducted similarly. Effect sizes, as an indication of clinical meaning, were computed as mean change divided by standard deviation. Sizes of 0.2, 0.5, and 0.8 were interpreted as small, medium and large [21].

The National Cancer Institute Common Toxicity Criteria (CTC) AE rating, CPS measured decision making preferences and TS measured trial satisfaction were compared to each other and LASA outcomes using the Student’s t-test, Wilcoxon, Chi-Square and correlation methodologies, as appropriate.

Results

Patient population

This study, designed with a projected 300 patients, was closed due to poor accrual after enrolling 30 patients. Seven were not evaluable due to not completing assessments. Eligible (N=23) patients were accrued from 12 trials having cycle lengths of 21 or 28 days (Table 1). Patients were 53 years old, equally male and female, and generally mobile (Table 2). Table 3 contains baseline QOL scores.

Table 1. Participating trials

Study

Patients in this Trial (MC0115)

Patients with endpoint data in this Trial (MC0115)

Reference

1

2

2

[25]

2

1

1

[26]

3

5

3

[27]

4

3

3

[28]

5

4

2

[29]

6

2

2

[30]

7

3

3

[31]

8

5

3

[32]

9

2

1

[33]

10

1

1

[34]

11

1

1

[35]

12

1

1

[36]

*Patients who participated in this trial participated in one of the parent trials listed in this table.  The reference for each parent trial is included if available.


Table 2.Baseline patient characteristics

 

Evaluable Patients (N=23)

Age

 

    Mean (SD)

53.0 (13.6)

    Median

54

    Range

(30-78)

 

Gender

 

    Male

10 (43.5%)

    Female

13 (56.5%)

 

Race

 

    White

15 (65.2%)

    Black/African American

1 (4.3%)

    Not reported

7 (30.4%)

 

Cycles of Treatment (3 missing)

 

    0-1

2 (10%)

    2-3

10 (50%)

    4-5

3 (15%)

    6+

5 (25%)

 

Treatment Setting

 

    Outpatient

20 (87%)

    Inpatient

3 (13%)

 

ECOG Performance Status

 

    0

11 (47.8%)

    1

11 (47.8%)

    2

1 (4.3%)

 

Type of Disease

 

    Unknown

8 (34.8%)

    Solid Tumor

15 (65.2%)

 

Route of Treatment

 

    Oral

2 (8.7%)

    IV bolus

4 (17.4%)

    IV continuous infusion

5 (21.7%)

    A combination of routes 

12 (52.2%)

N: Number of patients


Table 3.LASA QOL distribution

 

Baseline (N=24)

Change from Baseline (N=23)

QOL Domain

Mean (SD)

Mean (SD)

Effect Size

T-test p-value

1. Overall QOL

8.1 (1.6)

-0.4 (1.1)

0.36

0.08

2. Mental WB

 9.0 (0.9)

-0.4 (1.0)

0.40

0.06

3. Physical WB

7.3 (1.8)

-0.7 (1.7)

0.41

0.04

4. Emotional WB

8.3 (1.3)

-0.6 (1.3)

0.46

0.04

5. Level of Social Activity

 7.5 (2.4)

-0.1 (1.1)

0.09

0.71

6. Spiritual WB

 8.8 (1.4)

-0.3 (1.0)

0.30

0.15

7. Level of Hopelessness

8.3 (2.2)

-0.5 (1.2)

0.42

0.06

8. Frequency of Pain

6.3 (3.5)

0.2 (1.8)

0.11

0.57

9. Severity of Pain

 7.3 (2.6)

-0.4 (1.6)

0.25

0.25

10. Level of Fatigue

 5.5 (2.8)

-0.5 (2.2)

0.23

0.31

11. Level of Anxiety

6.9 (2.8)

-0.3 (2.2)

0.14

0.45

12. Overall Mood

8.1 (2.0)

-0.9 (1.8)

0.50

0.03

13. Level of Support

9.8 (0.5)

-0.1 (0.5)

0.20

0.43

N: Number of patients, SD: Standard deviation, QOL: Quality of life, WB: Well-being

Statistical analyses

The small sample size is a limitation to the interpretability of statistical significance, thus any results are exploratory in nature.

The primary outcome, change from baseline, indicates patients’ QOL decreased in all areas except for pain frequency, where there was a slight improvement (Table 3) (Figure 1). The mean change in overall QOL was slight (-0.4, 95% CI [-0.92, 0.05], effect size (ES) 0.36, p=0.08). Statistically significant mean changes were seen in physical WB (-0.7, 95% CI [-1.46, -0.02], ES 0.41, p=0.04), emotional WB (-0.6, 95% CI [-1.17, -0.04], ES 0.46, p=0.04) and mood (-0.9, 95% CI [-1.67, -0.07], ES 0.50, p=0.03). Four patients experienced a clinically meaningful deficiency as defined by having an overall QOL decrease of at least 2 points.

Figure 1. Toxicity incidence and trial perception (p=0.77)

Patients were categorized as proclaiming the study was worthwhile or the study was not worthwhile. AE incidence and magnitude did not seem to be related to study worthiness.

No differences were seen between best treatment response (1 Partial Response, 13 Stable Disease, 8 Progressive Disease, 1 missing) and QOL scores. Correlations comparing QOL with AE grades were weak, the strongest being for emotional WB (r=-0.41) and hopefulness (r=-0.35). The strongest correlation of change from baseline with maximum AE grade was with hopefulness (r=-0.56).

CPS indicated concordance in preferred and actual decision-making roles. Nine patients (39%) preferred and played an active role, twelve (52%) a collaborative role and two (9%) a passive role. Patients who preferred an active role had worse fatigue at the end of cycle 1 than those preferring a collaborative role (-1.5 vs. 0.3, ES 0.80, p=0.04).

According to TS, treatment trial participation was worthwhile (mean 8.7, range 5.0-10.0), patients would do it again (mean 8.7, range 1.0-10.0), and they would recommend the trial to others (mean 9.2, range 5.0-10.0), but they did not feel QOL improved because of trial participation (mean 4.0, range 0.0-10.0). Correlation of LASA scores with TS yielded moderate associations, the largest being between decrease in pain frequency and worthwhileness of participating (r=0.66). Change from baseline in any QOL score was not indicative of rating the parent trial as worthwhile. AE grade incidence was not a determinant in whether a patient rated the study worthwhile or not (Figure 1).

Discussion

Phase I trials can provide useful information for understanding how new drugs influence QOL, how adverse events influence specific domains of QOL, and how QOL deficits influence patients’ treatment satisfaction. Our patients had decreases in all QOL areas except for pain frequency, which may be the result of increased clinician contact, thus improved pain amelioration. While overall QOL was non-significant and only 4 patients had a clinically meaningful decline in QOL, declines in QOL did exist, which may indicate areas for future interventions. Our results are consistent with Cohen et al. (2007) who found cancer treatment decreased QOL in physical, social, functional, and emotional areas [22].

Deficits in QOL were independent of AEs or tumor response in this study, confirming these endpoints do not act as surrogates. Patients felt it worthwhile to participate and would again, yet did not experience QOL improvement, indicating that QOL issues may also be independent of trial satisfaction. This may be reflective of the patient putting cure hopes above QOL needs, or QOL improvement was not expected in the first place. Patient trial satisfaction was high and this may be related to the perfect concordance in decision making roles.

Numerous studies support that increased communication between clinician and patient improves patient QOL. Meropol et al. (2008) indicated if the clinician knows the patient’s preferences, communication is improved and distress is lessened, supporting the use of QOL assessments to facilitate communication [23]. Rummans et al. (2006) utilized a multi-disciplinary psychosocial intervention, which encouraged patients to communicate needs and results indicated a short-term improvement in overall QOL (p=0.047) and spirituality (p=0.003) [24]. Thus, patient QOL assessments may be used to facilitate a clinician-patient interaction to lessen all aspects of a patient’s QOL concerns. In regards to future research, of interest would be to see if QOL, CPS concordance and trial satisfaction results hold true in a larger sample size and are maintained long-term, and our results are similar to Phase II or Phase III study patients.

The generalizability of this study is limited to the small sample size. Clinical staff reported an unwillingness to increase patient burden which may have introduced a selection bias. Patient refusal rate and refusal reasons were unrecorded. Further bias may stem from the heterogeneity of the treatments and distribution of toxicities experienced within the 12 studies included in this trial.

Conclusions

This work has shown that despite being satisfied with the trial experience, significant deficits occurred in various QOL subcomponents in the Phase I setting. The inclusion of QOL assessments in these trials may help identify areas of discussion for the clinician and patient to alleviate physical and psychosocial concerns of patients facing end of life care.

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Editorial Information

Editor-in-Chief

Jalal K. Ghali
Mercer University

Article Type

Research Article

Publication history

Received date: March 06, 2015
Accepted date: April 14, 2015
Published date: April 17, 2015

Authorship and contributorship

Pamela J. Atherton, M.S.: study design, data collection, data analysis, writing
Daniel W. Szydlo, B.S.: data collection, data analysis, writing
Charles Erlichman, M.D.: patient enrollment, writing
Jeff A. Sloan, Ph.D.: study design, writing

Funding information

This study was conducted by the Mayo Clinic Cancer Center as protocol MC0115 and was supported by National Institutes of Health research grants CA 69912 and CA 15083.

Copyright

©2015 Atherton PJ. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Citation

Atherton PJ, Szydlo DW, Erlichman C, Sloan JA (2015). What can Phase I clinical trials tell us about quality of life? A pilot study (MC0115). Clin Res Trials 1: doi: 10.15761/CRT.1000104

Corresponding author

Pamela Atherton

Department of Health Sciences Research, Division of Biomedical Statistics and Informatics, Mayo Clinic, 200 1st Street SW, Harwick 836, Rochester, MN 55905, USA, Tel: 507-284-0660; Fax: 507-266-2477.

E-mail : atherton@mayo.edu

Table 1. Participating trials

Study

Patients in this Trial (MC0115)

Patients with endpoint data in this Trial (MC0115)

Reference

1

2

2

[25]

2

1

1

[26]

3

5

3

[27]

4

3

3

[28]

5

4

2

[29]

6

2

2

[30]

7

3

3

[31]

8

5

3

[32]

9

2

1

[33]

10

1

1

[34]

11

1

1

[35]

12

1

1

[36]

*Patients who participated in this trial participated in one of the parent trials listed in this table.  The reference for each parent trial is included if available.


Table 2.Baseline patient characteristics

 

Evaluable Patients (N=23)

Age

 

    Mean (SD)

53.0 (13.6)

    Median

54

    Range

(30-78)

 

Gender

 

    Male

10 (43.5%)

    Female

13 (56.5%)

 

Race

 

    White

15 (65.2%)

    Black/African American

1 (4.3%)

    Not reported

7 (30.4%)

 

Cycles of Treatment (3 missing)

 

    0-1

2 (10%)

    2-3

10 (50%)

    4-5

3 (15%)

    6+

5 (25%)

 

Treatment Setting

 

    Outpatient

20 (87%)

    Inpatient

3 (13%)

 

ECOG Performance Status

 

    0

11 (47.8%)

    1

11 (47.8%)

    2

1 (4.3%)

 

Type of Disease

 

    Unknown

8 (34.8%)

    Solid Tumor

15 (65.2%)

 

Route of Treatment

 

    Oral

2 (8.7%)

    IV bolus

4 (17.4%)

    IV continuous infusion

5 (21.7%)

    A combination of routes 

12 (52.2%)

N: Number of patients


Table 3.LASA QOL distribution

 

Baseline (N=24)

Change from Baseline (N=23)

QOL Domain

Mean (SD)

Mean (SD)

Effect Size

T-test p-value

1. Overall QOL

8.1 (1.6)

-0.4 (1.1)

0.36

0.08

2. Mental WB

 9.0 (0.9)

-0.4 (1.0)

0.40

0.06

3. Physical WB

7.3 (1.8)

-0.7 (1.7)

0.41

0.04

4. Emotional WB

8.3 (1.3)

-0.6 (1.3)

0.46

0.04

5. Level of Social Activity

 7.5 (2.4)

-0.1 (1.1)

0.09

0.71

6. Spiritual WB

 8.8 (1.4)

-0.3 (1.0)

0.30

0.15

7. Level of Hopelessness

8.3 (2.2)

-0.5 (1.2)

0.42

0.06

8. Frequency of Pain

6.3 (3.5)

0.2 (1.8)

0.11

0.57

9. Severity of Pain

 7.3 (2.6)

-0.4 (1.6)

0.25

0.25

10. Level of Fatigue

 5.5 (2.8)

-0.5 (2.2)

0.23

0.31

11. Level of Anxiety

6.9 (2.8)

-0.3 (2.2)

0.14

0.45

12. Overall Mood

8.1 (2.0)

-0.9 (1.8)

0.50

0.03

13. Level of Support

9.8 (0.5)

-0.1 (0.5)

0.20

0.43

N: Number of patients, SD: Standard deviation, QOL: Quality of life, WB: Well-being

Figure 1. Toxicity incidence and trial perception (p=0.77)

Patients were categorized as proclaiming the study was worthwhile or the study was not worthwhile. AE incidence and magnitude did not seem to be related to study worthiness.