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Moinpour, Carol M.

https://orcid.org/0000-0002-6557-9442

Mayo Clinic

Fred Hutch Cancer Center

Citations 8

Moving forward toward standardizing analysis of quality of life data in randomized cancer clinical trials
Bottomley, Andrew , Pe, Madeline , Sloan, Jeff A. , Basch, Ethan , Bonnetain, Franck, Calvert, Melanie , Campbell, Alicyn, Cleeland, Charles S. , Cocks, Kim , Collette, Laurence , Dueck, Amylou C. , Flechtner, Hans‐Henning , Gotay, Carolyn , Greimel, Eva , Griebsch, Ingolf , Grøenvold, Mogens , Hamel, Jean-François, King, Madeleine , Koller, Michael , Malone, Daniel C. , Martinelli, Francesca , Moinpour, Carol M. , Musoro, Jammbe , O’Connor, Daniel , Oliver, Kathy , Piault‐Louis, Elisabeth, Piccart, Martine , Pimentel, Francisco , Quinten, Chantal , Reijneveld, Jaap C. , Soltys, Katherine M, Sridhara, Rajeshwari , Taphoorn, Martin , Velikova, Galina , Coens, Corneel , Sloan, Jeff, Flechtner, Hans-Henning , Dueck, A. C. , Basch, Ethan , Devlin, Nancy J. , Kluetz, Paul Gustav , Mitchell, Sandra A , Schürmann, Christoph, Smith, Ashley Wilder

Clinical Trials | August 24, 2018 | Volume: 15 | Issue: 6 | Pages: 624-630

10.1177/1740774518795637 Get It

Background There is currently a lack of consensus on how health-related quality of life and other patient-reported outcome measures in cancer randomized clinical trials are analyzed and interpreted. This makes it difficult to compare results across randomized controlled trials (RCTs) synthesize scientific research, and use that evidence to inform product labeling, clinical guidelines, and health policy. The Setting International Standards in Analyzing Patient-Reported Outcomes and Quality of Life Endpoints Data for Cancer Clinical Trials (SISAQOL) Consortium aims to develop guidelines and recommendations to standardize analyses of patient-reported outcome data in cancer RCTs. Methods and Results Members from the SISAQOL Consortium met in January 2017 to discuss relevant issues. Data from systematic reviews of the current state of published research in patient-reported outcomes in cancer RCTs indicated a lack of clear reporting of research hypothesis and analytic strategies, and inconsistency in definitions of terms, including “missing data,”“health-related quality of life,” and “patient-reported outcome.” Based on the meeting proceedings, the Consortium will focus on three key priorities in the coming year: developing a taxonomy of research objectives, identifying appropriate statistical methods to analyze patient-reported outcome data, and determining best practices to evaluate and deal with missing data. Conclusion The quality of the Consortium guidelines and recommendations are informed and enhanced by the broad Consortium membership which includes regulators, patients, clinicians, and academics.
Quality of life (QOL) and pain in advanced stage prostate cancer: impact of missing data on evaluating palliation in SWOG 9916
Moinpour, Carol M. , Vinson, Liara, Lara, Primo N. , Taplin, Mary‐Ellen , Burch, Patrick, Petrylak, Daniel P. , Berry, Donna Lynn , Jiang, Chen , Lanier, Stephen M. , Crawford, Emily D.

Journal of Clinical Oncology | April 5, 2017 | Volume: 22 | Issue: 14_suppl | Pages: 4579-4579

10.1200/jco.2004.22.90140.4579 Get It

Responsiveness of 8 Patient‐Reported Outcomes Measurement Information System (PROMIS) measures in a large, community‐based cancer study cohort
Moinpour, Carol M. , Potosky, Arnold L. , Lobo, Tania , Hahn, Elizabeth A. , Hays, Ron D. , Cella, David , Keegan, Theresa H.M. , Paddock, Lisa E. , Stroup, Antoinette M. , Eton, David T. , Jensen, Roxanne E. , Smith, Ashley Wilder , Wu, Xiao‐Cheng

Cancer | October 11, 2016 | Volume: 123 | Issue: 2 | Pages: 327-335

10.1002/cncr.30354 Get It

BACKGROUND The Patient‐Reported Outcomes Measurement Information System (PROMIS) was a National Institutes of Health‐funded initiative to develop measures of symptoms and function. Responsiveness is the degree to which a measure can detect underlying changes over time. The objective of the current study was to document the responsiveness of 8 PROMIS measures in a large, population‐based cancer cohort. METHODS The Measuring Your Health study recruited 2968 patients who were diagnosed with 1 of 7 cancers between 2010 and 2012 through 4 Surveillance, Epidemiology, and End Results registries. Participants completed a baseline survey (6‐13 months after diagnosis) and a 6‐month follow‐up survey. Changes in 8 PROMIS scores were compared with global ratings of transition, changes in performance status, and clinical events. RESULTS Measures were responsive to 6‐month declines and improvements in performance status with small to large effect sizes (ES) (Cohen d = 0.34‐0.71; P < .01). Mean changes and effect sizes were larger for participants who reported declines compared with those who reported improvements. Small‐to‐medium ES were observed in patients who reported being “a little” worse (d = 0.31‐0.56), and medium‐to‐large ES were observed in those who reported being “a lot” worse (d = 0.53‐0.72). Hospitalized participants reported significant score increases, resulting in worsening of pain (d = 0.51), fatigue (d = 0.35), and depression (d = 0.57; all P < .01). Cancer recurrence and progression were associated with smaller increases in pain, fatigue, and sleep disturbance (d = 0.22‐0.27). CONCLUSIONS The current results indicated that all 8 PROMIS measures were sensitive to patient‐perceived worsening and improvement and to major clinical events. These findings will be able to inform the design and interpretation of future research studies and clinical initiatives administering PROMIS measures. Cancer 2017;123:327–335. © 2016 American Cancer Society .
Research Priorities, Measures, and Recommendations for Assessment of Tobacco Use in Clinical Cancer Research
Toll, Benjamin A. , Moinpour, Carol M. , Gritz, Ellen R., Prindiville, Sheila A. , Sarna, Linda, Leischow, Scott J. , Dresler, Carolyn M., Warren, Graham , Land, Stephanie R , Mitchell, Sandra A , Ostroff, Jamie S , Hatsukami, Dorothy K. , Duffy, Sonia A. , Rigotti, Nancy A. , Brandon, Thomas Henry , Schnoll, Robert A. , Herbst, Roy S. , Cinciripini, Paul M , Fiore, Michael C.

Clinical Cancer Research | February 17, 2016 | Volume: 22 | Issue: 8 | Pages: 1907-1913

10.1158/1078-0432.ccr-16-0104 Get It

Abstract There is strong evidence that cigarette smoking causes adverse outcomes in people with cancer. However, more research is needed regarding those effects and the effects of alternative tobacco products and of secondhand smoke, the effects of cessation (before diagnosis, during treatment, or during survivorship), the biologic mechanisms, and optimal strategies for tobacco dependence treatment in oncology. Fundamentally, tobacco is an important source of variation in clinical treatment trials. Nevertheless, tobacco use assessment has not been uniform in clinical trials. Progress has been impeded by a lack of consensus regarding tobacco use assessment suitable for cancer patients. The NCI-AACR Cancer Patient Tobacco Use Assessment Task Force identified priority research areas and developed recommendations for assessment items and timing of assessment in cancer research. A cognitive interview study was conducted with 30 cancer patients at the NIH Clinical Center to evaluate and improve the measurement items. The resulting Cancer Patient Tobacco Use Questionnaire (C-TUQ) includes “Core” items for minimal assessment of tobacco use at initial and follow-up time points, and an “Extension” set. Domains include the following: cigarette and other tobacco use status, intensity, and past use; use relative to cancer diagnosis and treatment; cessation approaches and history; and secondhand smoke exposure. The Task Force recommends that assessment occur at study entry and, at a minimum, at the end of protocol therapy in clinical trials. Broad adoption of the recommended measures and timing protocol, and pursuit of the recommended research priorities, will help us to achieve a clearer understanding of the significance of tobacco use and cessation for cancer patients. Clin Cancer Res; 22(8); 1907–13. ©2016 AACR.
Factors Associated with Adherence to an End-of-Study Biopsy: Lessons from the Prostate Cancer Prevention Trial (SWOG-Coordinated Intergroup Study S9217)
Gritz, Ellen R., Arnold, Kathryn B. , Moinpour, Carol M. , Burton‐Chase, Allison M. , Probstfield, Jeffrey F., See, William A., Lieber, Michael M., Caggiano, Vincent , Moody‐Thomas, Sarah, Szczepanek, Connie M. , Ryan, Anne, Carlin, Susie M., Hill, Shannon , Goodman, Phyllis J. , Padberg, Rose Mary, Minasian, Lori M. , Meyskens, Frank L. , Thompson, Ian M. , Tangen, Catherine M. , Thompson, Ian M

Cancer Epidemiology, Biomarkers & Prevention | July 16, 2014 | Volume: 23 | Issue: 8 | Pages: 1638-1648

10.1158/1055-9965.epi-14-0202 Get It

Abstract Background: The Prostate Cancer Prevention Trial (PCPT) was a 7-year randomized, double-blind, placebo-controlled trial of the efficacy of finasteride for the prevention of prostate cancer with a primary outcome of histologically determined prevalence of prostate cancer at the end of 7 years. Methods: A systematic modeling process using logistic regression identified factors available at year 6 that are associated with end-of-study (EOS) biopsy adherence at year 7, stratified by whether participants were ever prompted for a prostate biopsy by year 6. Final models were evaluated for discrimination. At year 6, 13,590 men were available for analysis. Results: Participants were more likely to have the EOS biopsy if they were adherent to study visit schedules and procedures and/or were in good health (P &lt; 0.01). Participants at larger sites and/or sites that received retention and adherence grants were also more likely to have the EOS biopsy (P &lt; 0.05). Conclusions: Our results show good adherence to study requirements 1 year before the EOS biopsy was associated with greater odds that a participant would comply with the invasive EOS requirement. Impact: Monitoring adherence behaviors may identify participants at risk of nonadherence to more demanding study end points. Such information could help frame adherence intervention strategies in future trials. Cancer Epidemiol Biomarkers Prev; 23(8); 1638–48. ©2014 AACR.
Quality of Life and Pain in Advanced Stage Prostate Cancer: Results of a Southwest Oncology Group Randomized Trial Comparing Docetaxel and Estramustine to Mitoxantrone and Prednisone
Moinpour, Carol M. , Jiang, Caroline S. , Ankerst, Donna P. , Petrylak, Daniel P. , Vinson, Lynne V., Lara, Primo N. , Jones, Sharon, Taplin, Mary Ellen, Burch, Patrick A. , Hussain, Maha , Crawford, E. David , Berry, Donna Lynn , Hussain, Maha H A

Journal of Clinical Oncology | June 16, 2006 | Volume: 24 | Issue: 18 | Pages: 2828-2835

10.1200/jco.2005.04.8207 Get It

Purpose Palliation of bone pain can be achieved in men with androgen-independent prostate cancer treated with docetaxel and estramustine (DE) or mitoxantrone and prednisone (MP). While Southwest Oncology Group trial 99-16 demonstrated a survival improvement of DE over MP, the study also was designed to compare the palliation of disease-related symptoms. Methods Pain palliation and global quality of life (QOL) were the two primary patient-reported outcomes. Pain was measured with the Present Pain Intensity scale of the McGill Pain Questionnaire-Short Form. The European Organisation for Research and Treatment of Cancer Core Quality of Life Questionnaire C30 (QLQ-C30) and its Prostate Cancer Module (PR25) measured QOL and symptom status. Pain and analgesic use were measured at random assignment, every cycle for eight cycles, and 1 year from random assignment; the QLQ-C30 and the PR25 were administered at random assignment, before cycle four (week 10) and cycle eight (month 6) and at 1 year. In addition to the primary intent-to-treat, missing at random analysis, sensitivity analyses were performed to assess robustness of global QOL conclusions under alternative informative missing data assumptions. Results Six hundred seventy four eligible patients received DE (n = 338) or MP (n = 336). In an intention-to-treat analysis, median overall survival was 17.5 months for the DE arm and 15.6 months for the MP arm (P = .02). There were no statistically significant differences in pain palliation between the treatment arms. The sensitivity analyses showed a consistent lack of statistically significant global QOL differences for the two arms. Conclusion DE had superior clinical efficacy (overall survival, time-to-progression, and prostate-specific antigen declines) with similar global QOL and pain palliation in the MP arm.