Guidelines for the Use and Reporting of Patient-Reported Outcomes in Multiple Myeloma Clinical Trials
Abstract
:Simple Summary
Abstract
1. Introduction
Medical Products Regulatory Authorities’ PRO Guidelines
2. Methods
2.1. EHA Core Guidelines Development Methodology
2.1.1. Appointment of Chair(s) and Steering Committee Selection
2.1.2. Selection of an Expert Panel
2.1.3. Handling of Conflicts of Interest
2.1.4. Definition of the Objective of the Project and Generation of Key Questions
2.1.5. Systematic Literature Review and Synthesis of Evidence
- (a)
- English language;
- (b)
- Publication year: 2015 to 2020 (literature search period undertaken from 1 January 2015 to April 2021);
- (c)
- Clinical studies, including the target population (patients with MM);
- (d)
- Source: PubMed, proceedings of EHA and ASH meetings.
2.1.6. Consensus Phase
2.2. Systematic Review
3. Results
3.1. Evidence-Based Consensus on the Choice of Patient-Reported Outcome Measures
3.1.1. General Considerations
- (a)
- Disease status;
- (b)
- Primary and secondary objectives;
- (c)
- In the case of multinational trials, the availability of translations (linguistic and cross-cultural adaptations).
3.1.2. Generic PROMs
EQ-5D-3L
- (a)
- General information: The EQ-5D-3L is a generic measure designed to assess health status both in specific patient groups as well as the general population [39,40]. It was developed by the EuroQol group as a standardized instrument for describing and valuing QoL and to inform evidence on the cost-effectiveness of alternative treatments.
- (b)
- Data collection: Paper and electronic.
- (c)
- Mode of administration: Self-administration.
- (d)
- Median completion time: 9 min [41].
- (e)
- (f)
- Strengths: Simplicity. It provides a simple, descriptive profile and an overall numeric estimate of QoL which can be used for both clinical and economic evaluations of health care. It is available in over 80 languages and its wide use in clinical trials in a range of various health conditions and treatments allows for multiple comparisons. Information about MCID in MM has been published.
- (g)
- Weaknesses: Validation in MM patients is needed. The EQ-5D-3L, a utility measure, does not satisfy the requirements of the FDA Guidance for core PROMs in clinical trials [25]. No equivalence studies between electronic and paper versions are available.
3.1.3. Cancer-Specific PROMs
EORTC QLQ-C30
- (a)
- General information: The EORTC QLQ-C30 is a QoL questionnaire that was developed by the European Organization for Research and Treatment of Cancer (EORTC) Quality of Life Study Group to measure QoL in cancer patients during clinical trials [43]. This questionnaire consists of thirty items, five function scales (physical, emotional, social, role and cognitive); three symptom scales (fatigue, nausea/vomiting and pain); and six single items (dyspnea, insomnia, appetite loss, constipation, diarrhea and financial difficulties). The two latter items are used to assess global health and overall QoL. The majority of item responses are on a four-point scale ranging from one (not at all) to four (very much), with a recall period of one week. The two items assessing global health and overall QoL have a response option of seven categories ranging from one (very poor) to seven (excellent).
- (b)
- Data collection: Paper and electronic.
- (c)
- Mode of administration: Self-administration.
- (d)
- Completion time: <10 min [44].
- (e)
- (f)
- Strengths: It is easy to use and simple to score. It captures core PROs identified by the FDA Guidance, disease-related and treatment-related cancer symptoms, symptomatic adverse events, physical function and role function [25]. It is available in over 110 languages and has been widely used in clinical trials in MM and several other malignancies, allowing for comparisons. Information about MCID in MM is published.
- (g)
- Weaknesses: An additional questionnaire or the EORTC QLQ-MY20 module is still needed to cover specific MM issues. No equivalence studies between electronic and paper versions are available. It worth noting that it is also quite old as a PRO tool so may not adequately cover some of the side-effects of newer agents like chimeric antigen receptor T-cell (CAR-T).
3.1.4. Disease-Specific PROMs
EORTC QLQ-MY20
- (a)
- General information: The EORTC QLQ-MY20 was developed by the EORTC Study Group on Quality of Life (1999) and is an instrument specifically designed for MM patients [46]. It includes twenty disease-specific items, consisting of three multi-item scales (disease symptoms; six items, side effects of treatment; ten items, future perspective; three items) and body image; single item scale. It is developed for use in conjunction with the EORTC QLQ-C30 in MM patients varying in disease stage and treatment modality.
- (b)
- Data collection: Paper.
- (c)
- Mode of administration: Self-administration.
- (d)
- Completion time: 12 min [46].
- (e)
- (f)
- Strengths: It is simple to score and easy to use. The instrument is available in 50 languages. Information about MCID is published.
- (g)
- Weaknesses: The focus is on the frequency of symptoms which MM patients may experience, not on their severity. It is worth noting that it is also quite old as a PRO tool so may not adequately cover some of the side-effects of newer agents like CAR-T. Its use in conjunction with the EORTC QLQ-C30 may render the self-report burdensome.
FACT-MM
- (a)
- General information: FACT-MM was developed with the aim to create an MM-specific PROM as part of the FACT measurement system to assess the MM-related disturbances [48,49]. The FACT-MM questionnaire includes 41 items consisting of four core FACT-G QoL subscales (physical, functional, social and emotional comprising 27 items) and an additional subscale (MM subscale) measuring MM-specific concerns (comprising 14 items). After following standard FACT instructions, items are rated using a 0–4-point scale based on the past week, with higher scores indicating better QoL and less MM-related symptoms. Three scores are calculated: the FACT-MM total score (all domains; scale, 0–164), the trial outcome index (TOI; physical, functional and MM-specific domains; scale, 0–112) and an MM subscale score (scale, 0–56).
- (b)
- Data collection: Paper and electronic.
- (c)
- Mode of administration: Self-administration and interview when applicable.
- (d)
- Completion time: 10 to 15 min [50].
- (e)
- Measurement properties: Validated in patients with newly diagnosed MM [48]. Its reliability, validity and sensitivity to change have been demonstrated [49]. MCIDs are based on patient-reported assessment of meaningful change, defined as 10% of the instrument range and on mean baseline differences between ECOG groups (0 vs. 1 to 2) [51].
- (f)
- Strengths: Captures core PROs outlined by the FDA; disease-related and treatment-related cancer symptoms and physical function [25]. The instrument is available in nine languages. Information about MCID is published.
- (g)
- Weaknesses: No equivalence studies between electronic and paper versions are available.
MDASI-MM
- (a)
- General information: The MD Anderson Symptom Inventory for Multiple Myeloma (MDASI-MM) questionnaire was developed in the MD Anderson Cancer Center to assess the severity of the symptoms related to MM and its treatment and the impact of these symptoms on daily functioning [52]. The MDASI-MM questionnaire includes the MDASI’s thirteen core symptom severity items and six interference items [53], in addition to seven MM-specific items (bone aches, muscle weakness, sore mouth/throat, rash, difficulty concentrating, constipation, diarrhea). Patients rate their symptoms on a 0–10 scale, ranging from “not present” to “as bad as you can imagine”. Interference is rated on a 0–10 scale ranging from “did not interfere” to “interfered completely”. MDASI-MM ratings can be used to derive three subscale scores: mean core (thirteen MDASI core symptom items), mean severity (thirteen MDASI core plus seven MM-specific items), and mean interference (six interference items). Interference items may be subdivided into mean activity-related (interference with work, general activity and walking ability—WAW) and mean mood-related (interference with relations with people, enjoyment of life and mood—REM) dimensions [52]. Symptom severity is classified as 0 (none), 1–4 (mild), 5–6 (moderate) or 7–10 (severe) [52].
- (b)
- Data collection: Paper and electronic.
- (c)
- Mode of administration: Self-administration and interview or via telephone-based interactive voice response (IVR) system.
- (d)
- Completion time: 5 min [53].
- (e)
- (f)
- Strengths: Comprehensive yet concise tool that is recommended as a uniform symptom assessment instrument for patients with MM in research and practice. The instrument is available in over 30 languages.
- (g)
- Weaknesses: No information about MCIDs is available. No equivalence studies between electronic and paper versions are available. Also, there is not enough perspective from MM studies.
3.1.5. Other QoL Instruments
MyPOS
- (a)
- General information: The MyPOS is the first myeloma-specific QOL questionnaire designed specifically for use in clinical practice [54]. It consists of thirty items in three scales: symptoms and function (fourteen items), emotional response (six items) and healthcare support (five items). The MyPOS is based on qualitative enquiry and the issues most important to MM patients. It focuses on the impact of symptoms rather than the status of MM symptoms.
- (b)
- Data collection: Paper.
- (c)
- Mode of administration: Self-administration.
- (d)
- Completion time: 7 min [54].
- (e)
- Measurement properties: Validated by the authors in a large sample of MM patients with different treatment status (on- and off-treatment), different disease phase (newly diagnosed, stable/plateau phase, relapsed/progressive), and in various settings (hospital inpatient, outpatient, at home). Its reliability, validity and sensitivity to change have been demonstrated [54]. Information about MCIDs is lacking.
- (f)
- Strengths: It is a brief and comprehensive tool.
- (g)
- Weaknesses: It has not been tested in clinical trials. No information about MCIDs. Available only in two languages (English and German).
HM-PRO
- (a)
- General information: HM-PRO is the only hematological malignancy (HM)-specific PROM [55,56]. It evaluates QoL and symptoms of patients with HM and has been developed directly from the experience of patients for patients. It consists of two scales: Part A (24 items) measuring the ‘impact on patients’ QoL; and Part B (18 items) measuring ‘signs and symptoms’ (S&S) experienced by the patients. Part A consists of four domains: physical behavior (seven items), social well-being (three items), emotional behavior (eleven items) and eating and drinking habits (three items). Higher scores represent higher impact.
- (b)
- Data collection: Paper and electronic.
- (c)
- Mode of administration: Self-administration.
- (d)
- Completion time: 7 min [57].
- (e)
- (f)
- Strengths: A comprehensive tool that measures the impact of the disease and treatment, including stem cell transplantation, on QoL and signs and symptoms in patients with HM. PROMs between different HMs may be compared by the same instrument. The instrument is available in 11 languages. Electronic and paper version equivalence [57] as well as MCID [60] have been reported.
- (g)
- Weaknesses: There are no published reports yet about the use of HM-PRO in clinical trials.
FACT-BMT
- (a)
- General information: The FACT-BMT is the Bone Marrow Transplant subscale of the FACT-G [61]. It includes 23 items specifically to assess QoL and symptoms in bone marrow transplant patients and, along with 27 general questions, it consists overall of 50 items. Patients rate all items using a five-point scale, ranging from 0—not at all to 5—very much. They are asked to rate themselves on how they feel today and have felt over the past 7 days. A higher score indicates better QoL or less symptoms. The FACT-BMT provides information about overall QoL and the dimensions of physical well-being, social/family well-being, emotional well-being, functional well-being and transplantation-specific concerns.
- (b)
- Data collection: Paper and electronic.
- (c)
- Mode of administration: Self-administration and interview when applicable.
- (d)
- Completion time: 10–15 min [62].
- (e)
- Measurement properties: Validated in a sample of leukemia patients in China. Its reliability, validity and sensitivity to change have been demonstrated [63]. MCIDs are not reported in MM patients.
- (f)
- Strengths: The questionnaire is able to cover transplantation-specific concerns in MM patients undergoing hematopoietic stem cell transplantation (HSCT). The instrument is available in 40 languages.
- (g)
- Weaknesses: There are no separate modules for autologous and allogeneic patients despite the different experiences of these types of transplant patients. No information about MCID and sensitivity to change in MM patients. No equivalence studies between electronic and paper versions are available.
3.1.6. Symptom Scales
- (1)
- Pain assessment
- (2)
- Fatigue Assessment
FACIT Fatigue Scale
- (a)
- General information: The FACIT Fatigue Scale is a 40-item measure that assesses self-reported fatigue and its impact upon daily activities and function [64]. It includes thirteen items specifically designed to test fatigue and the FACT-G Physical well-being (seven items), Social/Family well-being (seven items), Emotional well-being (six items) and Functional well-being (seven items). Patients rate all items using a five-point scale ranging from 0—not at all to 5—very much. The recall period is 7 days.
- (b)
- Data collection: Paper and electronic.
- (c)
- Mode of administration: Self-administration and interview when applicable.
- (d)
- Completion time: 10–15 min [65].
- (e)
- (f)
- Strengths: The questionnaire is able to measure fatigue and its impact upon daily activities and function in MM patients. The instrument is available in over 60 languages. Fatigue in MM may be compared to fatigue in other malignancies measured by the same instrument which has been widely used in clinical trials.
- (g)
- Weaknesses: Information about MCID is lacking. No equivalence studies between electronic and paper versions are available and MCIDs are not reported.
- (3)
- Assessment of Psychological Disturbance
HAD Scale
- (a)
- General information: The HAD Scale is a 14-item PROM which has been found to perform well in assessing symptom severity, anxiety and depression in somatic, psychiatric and primary care patients, as well as in the general population [67]. The recall period is one week. Even-numbered questions relate to depression and odd-numbered questions relate to anxiety. Each question has four possible responses on a scale from 0 to 3. The maximum score for each domain, depression and anxiety, is 21. A score of 8–10 is suggestive of the presence a mood disorder, whereas a score of at least 11 indicates the probable presence of a mood disorder. The two domains have been found to be independent measures. In its current form, the HAD Scale is now divided into four ranges: normal (0–7), mild (8–10), moderate (11–15), and severe (16–21).
- (b)
- Data collection: Paper and electronic.
- (c)
- Mode of administration: Self-administration.
- (d)
- (e)
- (f)
- Strengths: It is sensitive to changes both during the disease and in response to psychotherapeutic and psychopharmacological intervention [70]. Additionally, HAD Scale scores can be used to predict psychosocial and possibly physical outcomes as well. It is available in 127 languages.
- (g)
- Weaknesses: No equivalence studies between electronic and paper versions are available. MCIDs are not reported in MM patients.
3.1.7. Other Instruments
3.2. Key Points and Recommendations
3.2.1. Selection of the PROMs
- (a)
- Primary Objective: Progression-Free Survival and MRD Negativity
- (b)
- Primary Objective: QoL and/or Control of Symptoms
3.2.2. Mode of Administration
3.2.3. Timing of Assessments
Newly Diagnosed, Treatment-Naive MM
- (a)
- Objective: Progression-Free Survival and/or MRD Negativity
- (b)
- Objective: Response Rate and Overall Survival
- (c)
- Objective: Control of symptoms
- (d)
- Objective: Safety
Relapsed/Refractory MM
HSCT and CAR-T
- (a)
- Trials designed to receive HSCT after the investigational drug is initiated and HSCT are not the investigational procedure per se:
- (b)
- Trials Designed to Receive HSCT as the Investigational Procedure
In Trials That Include CAR-T
3.2.4. Strategies to Minimize Missing Data
- (a)
- Systematic missing data. One of the strategies to reduce the probability of systematic missing items (the patient does not respond voluntarily) is the choice of the PROM which must be relevant to the target population. The PROM should also have gone through proper cultural adaptation in the different languages and countries to ensure the relevance of the PROM.
- (b)
- Random missing data. For paper versions, to minimize missing data, the trial staff members should check the items completed by the patient at the time of administration/submission to encourage to complete all random missing data. For electronic versions, there are several strategies to ensure the completion of the questionnaire, such as restriction to proceed without filling in the appropriate answer; however, the possibility to select “no response” for unwillingness to respond to the item should be avoided.
3.2.5. Sample Size Calculation
- (a)
- PRO as a primary endpoint. The PROM requires MCID or previously published changes within a clinical trial. When an MCID is available for the chosen PROM, the sample size may be easily calculated according to the MCID value predicted from baseline to target time point in the study arm/s. In the absence of an MCID, a search in the literature of the changes in the PROM measure scale can inform about the expected minimal difference between arms or between time points.
- (b)
- PRO as a secondary endpoint. The sample size is obtained from the primary endpoint. To reach the secondary endpoint, however, a sample size can be calculated as described above for the PRO as a primary endpoint and the larger of the two sample sizes generated should represent the final sample size for the trial, when feasible. If the sample size cannot be obtained for the PRO endpoint because information is lacking, consider changing the PROM or proceeding with the sample size for the primary endpoint.
- (c)
- PRO as an exploratory endpoint. A sample size calculation is not required.
3.2.6. Reporting Results and Interpretation
- (1)
- Reports with details of study settings, genders, ethnicity and mean and range of participants’ age.
- (2)
- A clear statement of the sample size calculation, randomization and blinding methods, including allocation concealment.
- (3)
- Correct baseline characteristics and comparisons of subjects presented.
- (4)
- Patient numbers, whether intention to treat or per protocol analysis was implemented and the method(s) for data imputation of missing data.
- (5)
- PROM baseline and final data collection point mean and median scores with interquartile ranges, as well as score differences.
- (6)
- The actual scores in the results, which may also be accompanied by percentage score changes.
- (7)
- PRO results using MCID and score severity bands.
- (a)
- Stratification According to Baseline PRO Scores
- (b)
- Changes in PRO Scores
- (c)
- MCID
4. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Palumbo, A.; Anderson, K. Multiple Myeloma. N. Engl. J. Med. 2011, 364, 1046–1060. [Google Scholar] [CrossRef] [PubMed]
- Dimopoulos, M.A.; Moreau, P.; Terpos, E.; Mateos, M.V.; Zweegman, S.; Cook, G.; Delforge, M.; Hájek, R.; Schjesvold, F.; Cavo, M.; et al. Multiple Myeloma: EHA-ESMO Clinical Practice Guidelines for Diagnosis, Treatment and Follow-Up. Ann. Oncol. 2021, 32, 309–322. [Google Scholar] [CrossRef] [PubMed]
- Cowan, A.J.; Green, D.J.; Kwok, M.; Lee, S.; Coffey, D.G.; Holmberg, L.A.; Tuazon, S.; Gopal, A.K.; Libby, E.N. Diagnosis and Management of Multiple Myeloma: A Review. JAMA 2022, 327, 464–477. [Google Scholar] [CrossRef] [PubMed]
- Usmani, S.Z.; Hoering, A.; Cavo, M.; Miguel, J.S.; Goldschimdt, H.; Hajek, R.; Turesson, I.; Lahuerta, J.J.; Attal, M.; Barlogie, B.; et al. Clinical Predictors of Long-Term Survival in Newly Diagnosed Transplant Eligible Multiple Myeloma—An IMWG Research Project. Blood Cancer J. 2018, 8, 123. [Google Scholar] [CrossRef] [PubMed]
- MPE. Myeloma Diagnosis across Europe: The Diagnosis Experiences of European Myeloma Patients and Perspectives from European Haematologists. 2022. Available online: https://www.mpeurope.org/wp-content/uploads/2022/09/MPE-report_Myeloma-Diagnosis-Across-Europe.pdf (accessed on 8 May 2023).
- Siegel, R.L.; Miller, K.D.; Fuchs, H.E.; Jemal, A. Cancer Statistics, 2021. CA Cancer J. Clin. 2021, 71, 7–33. [Google Scholar] [CrossRef] [PubMed]
- Bertamini, L.; Bertuglia, G.; Oliva, S. Beyond Clinical Trials in Patients With Multiple Myeloma: A Critical Review of Real-World Results. Front. Oncol. 2022, 12, 844779. [Google Scholar] [CrossRef] [PubMed]
- Munshi, N.C.; Avet-Loiseau, H.; Anderson, K.C.; Neri, P.; Paiva, B.; Samur, M.; Dimopoulos, M.; Kulakova, M.; Lam, A.; Hashim, M.; et al. A Large Meta-Analysis Establishes the Role of MRD Negativity in Long-Term Survival Outcomes in Patients with Multiple Myeloma. Blood Adv. 2020, 4, 5988–5999. [Google Scholar] [CrossRef]
- Rodriguez-Otero, P.; Paiva, B.; San-Miguel, J.F. Roadmap to Cure Multiple Myeloma. Cancer Treat. Rev. 2021, 100, 102284. [Google Scholar] [CrossRef]
- Seitzler, S.; Finley-Oliver, E.; Simonelli, C.; Baz, R. Quality of Life in Multiple Myeloma: Considerations and Recommendations. Expert Rev. Hematol. 2019, 12, 419–424. [Google Scholar] [CrossRef]
- Turesson, I.; Abildgaard, N.; Ahlgren, T.; Dahl, I.; Holmberg, E.; Hjorth, M.; Nielsen, J.L.; Odén, A.; Seidel, C.; Waage, A.; et al. Prognostic Evaluation in Multiple Myeloma: An Analysis of the Impact of New Prognostic Factors. Br. J. Haematol. 1999, 106, 1005–1012. [Google Scholar] [CrossRef]
- Wisløff, F.; Gulbrandsen, N.; Nord, E. Therapeutic Options in the Treatment of Multiple Myeloma: Pharmacoeconomic and Quality-of-Life Considerations. Pharmacoeconomics 1999, 16, 329–341. [Google Scholar] [CrossRef] [PubMed]
- Strasser-Weippl, K.; Ludwig, H. Psychosocial QOL Is an Independent Predictor of Overall Survival in Newly Diagnosed Patients with Multiple Myeloma. Eur. J. Haematol. 2008, 81, 374–379. [Google Scholar] [CrossRef] [PubMed]
- Zaleta, A.K.; Miller, M.F.; Olson, J.S.; Yuen, E.Y.N.; LeBlanc, T.W.; Cole, C.E.; McManus, S.; Buzaglo, J.S. Symptom Burden, Perceived Control, and Quality of Life among Patients Living with Multiple Myeloma. J. Natl. Compr. Canc. Netw. 2020, 18, 1087–1095. [Google Scholar] [CrossRef] [PubMed]
- Ramsenthaler, C.; Osborne, T.R.; Gao, W.; Siegert, R.J.; Edmonds, P.M.; Schey, S.A.; Higginson, I.J. The Impact of Disease-Related Symptoms and Palliative Care Concerns on Health-Related Quality of Life in Multiple Myeloma: A Multi-Centre Study. BMC Cancer 2016, 16, 427. [Google Scholar] [CrossRef] [PubMed]
- Nielsen, L.K.; Jarden, M.; Andersen, C.L.; Frederiksen, H.; Abildgaard, N. A Systematic Review of Health-Related Quality of Life in Longitudinal Studies of Myeloma Patients. Eur. J. Haematol. 2017, 99, 3–17. [Google Scholar] [CrossRef] [PubMed]
- Sive, J.; Cuthill, K.; Hunter, H.; Kazmi, M.; Pratt, G.; Smith, D.; British Society of Haematology. Guidelines on the Diagnosis, Investigation and Initial Treatment of Myeloma: A British Society for Haematology/UK Myeloma Forum Guideline. Br. J. Haematol. 2021, 193, 245–268. [Google Scholar] [CrossRef] [PubMed]
- Janssens, R.; Lang, T.; Vallejo, A.; Galinsky, J.; Plate, A.; Morgan, K.; Cabezudo, E.; Silvennoinen, R.; Coriu, D.; Badelita, S.; et al. Patient Preferences for Multiple Myeloma Treatments: A Multinational Qualitative Study. Front. Med. 2021, 8, 686165. [Google Scholar] [CrossRef]
- Nathwani, N.; Bell, J.; Cherepanov, D.; Sowell, F.G.; Shah, R.; McCarrier, K.; Hari, P. Patient Perspectives on Symptoms, Health-Related Quality of Life, and Treatment Experience Associated with Relapsed/Refractory Multiple Myeloma. Support. Care Cancer 2022, 30, 5859–5869. [Google Scholar] [CrossRef]
- Basch, E.; Jia, X.; Heller, G.; Barz, A.; Sit, L.; Fruscione, M.; Appawu, M.; Iasonos, A.; Atkinson, T.; Goldfarb, S.; et al. Adverse Symptom Event Reporting by Patients vs. Clinicians: Relationships with Clinical Outcomes. J. Natl. Cancer Inst. 2009, 101, 1624–1632. [Google Scholar] [CrossRef]
- Kvam, A.K.; Waage, A. Health-Related Quality of Life in Patients with Multiple Myeloma—Does It Matter? Haematologica 2015, 100, 704–705. [Google Scholar] [CrossRef]
- Novik, A.; Salek, S.; Ionova, T. Guidelines Patient-Reported Outcomes in Hematology; European Hematology Association: The Hague, The Netherlands, 2012. [Google Scholar]
- Niscola, P.; Scaramucci, L.; Efficace, F. Towards the Integration of Patient-Reported Outcomes into the Global Clinical Management of Multiple Myeloma. Expert Rev. Hematol. 2019, 12, 703–705. [Google Scholar] [CrossRef] [PubMed]
- FDA. U.S. Food and Drug Administration (2009) Guidance for Industry—Patient-Reported Outcome Measures: Use in Medical Product Development to Support Labeling Claims. Available online: https://www.fda.gov/media/77832/download (accessed on 15 May 2023).
- FDA. Core Patient-Reported Outcomes in Cancer Clinical Trials, Guidance for Industry. 2021. Available online: https://www.fda.gov/Regulatory-Information/Search-Fda-Guidance-Documents/Core-Patient-Reported-Outcomes-Cancer-Clinical-Trials (accessed on 15 May 2023).
- European Medicines Agency. Reflection Paper on the Regulatory Guidance for the Use of Health-Related Quality of Life (HRQL) Measures in the Evaluation of Medicinal Products; EMA: Amsterdam, The Netherlands, 2005.
- EMA. European Medicines Agency Appendix 2 to the Guideline on the Evaluation of Anticancer Medicinal Products in Man. The Use of Patient-Reported Outcome (PRO) Measures in Oncology Studies. 2016. Available online: https://www.ema.europa.eu/En/Documents/Other/Appendix-2-Guideline-Evaluation-Anticancer-Medicinal-Products-Man_en.pdf (accessed on 15 May 2023).
- Gnanasakthy, A.; Barrett, A.; Evans, E.; D’Alessio, D.; Romano, C.D. A Review of Patient-Reported Outcomes Labeling for Oncology Drugs Approved by the FDA and the EMA (2012–2016). Value Health 2019, 22, 203–209. [Google Scholar] [CrossRef] [PubMed]
- Anderson, M.; Drummond, M.; Taylor, D.; McGuire, A.; Carter, P.; Mossialos, E. Promoting Innovation While Controlling Cost: The UK’s Approach to Health Technology Assessment. Health Policy 2022, 126, 224–233. [Google Scholar] [CrossRef] [PubMed]
- Prinsen, C.a.C.; Mokkink, L.B.; Bouter, L.M.; Alonso, J.; Patrick, D.L.; de Vet, H.C.W.; Terwee, C.B. COSMIN Guideline for Systematic Reviews of Patient-Reported Outcome Measures. Qual. Life Res. 2018, 27, 1147–1157. [Google Scholar] [CrossRef] [PubMed]
- Salek, S.; Ionova, T.; Oliva, E.N.; Andreas, M.; Skoetz, N.; Kreuzberger, N.; Laane, E. The Reporting, Use, and Validity of Patient-Reported Outcomes in Multiple Myeloma in Clinical Trials: A Systematic Literature Review. Cancers 2022, 14, 6007. [Google Scholar] [CrossRef] [PubMed]
- Kvam, A.K.; Fayers, P.M.; Wisloff, F. Responsiveness and Minimal Important Score Differences in Quality-of-Life Questionnaires: A Comparison of the EORTC QLQ-C30 Cancer-Specific Questionnaire to the Generic Utility Questionnaires EQ-5D and 15D in Patients with Multiple Myeloma. Eur. J. Haematol. 2011, 87, 330–337. [Google Scholar] [CrossRef] [PubMed]
- Fernandes, L.L.; Zhou, J.; Kanapuru, B.; Horodniceanu, E.; Gwise, T.; Kluetz, P.G.; Bhatnagar, V. Review of Patient-Reported Outcomes in Multiple Myeloma Registrational Trials: Highlighting Areas for Improvement. Blood Cancer J. 2021, 11, 148. [Google Scholar] [CrossRef]
- Efficace, F.; Cottone, F.; Sparano, F.; Caocci, G.; Vignetti, M.; Chakraborty, R. Patient-Reported Outcomes in Randomized Controlled Trials of Patients with Multiple Myeloma: A Systematic Literature Review of Studies Published between 2014 and 2021. Clin. Lymphoma Myeloma Leuk. 2022, 22, 442–459. [Google Scholar] [CrossRef]
- Delforge, M.; Shah, N.; Miguel, J.S.F.; Braverman, J.; Dhanda, D.S.; Shi, L.; Guo, S.; Yu, P.; Liao, W.; Campbell, T.B.; et al. Health-Related Quality of Life with Idecabtagene Vicleucel in Relapsed and Refractory Multiple Myeloma. Blood Adv. 2022, 6, 1309–1318. [Google Scholar] [CrossRef]
- Martin, T.; Lin, Y.; Agha, M.; Cohen, A.D.; Htut, M.; Stewart, A.K.; Hari, P.; Berdeja, J.G.; Usmani, S.Z.; Yeh, T.-M.; et al. Health-Related Quality of Life in Patients given Ciltacabtagene Autoleucel for Relapsed or Refractory Multiple Myeloma (CARTITUDE-1): A Phase 1b-2, Open-Label Study. Lancet Haematol. 2022, 9, e897–e905. [Google Scholar] [CrossRef]
- Nielsen, L.K.; Abildgaard, N.; Jarden, M.; Klausen, T.W. Methodological Aspects of Health-Related Quality of Life Measurement and Analysis in Patients with Multiple Myeloma. Br. J. Haematol. 2019, 185, 11–24. [Google Scholar] [CrossRef] [PubMed]
- Fonseca, R.; Tran, D.; Laidlaw, A.; Rosta, E.; Rai, M.; Duran, J.; Ammann, E.M. Impact of Disease Progression, Line of Therapy, and Response on Health-Related Quality of Life in Multiple Myeloma: A Systematic Literature Review. Clin. Lymphoma Myeloma Leuk. 2023, 23, 426–437.e11. [Google Scholar] [CrossRef] [PubMed]
- Devlin, N.J.; Brooks, R. EQ-5D and the EuroQol Group: Past, Present and Future. Appl. Health Econ. Health Policy 2017, 15, 127–137. [Google Scholar] [CrossRef] [PubMed]
- EuroQol Group. EuroQol—A New Facility for the Measurement of Health-Related Quality of Life. Health Policy 1990, 16, 199–208. [Google Scholar] [CrossRef] [PubMed]
- Norman, R.; Cronin, P.; Viney, R. A Pilot Discrete Choice Experiment to Explore Preferences for EQ-5D-5L Health States. Appl. Health Econ. Health Policy 2013, 11, 287–298. [Google Scholar] [CrossRef] [PubMed]
- Yu, H.; Zeng, X.; Sui, M.; Liu, R.; Tan, R.L.-Y.; Yang, J.; Huang, W.; Luo, N. A Head-to-Head Comparison of Measurement Properties of the EQ-5D-3L and EQ-5D-5L in Acute Myeloid Leukemia Patients. Qual. Life Res. 2021, 30, 855–866. [Google Scholar] [CrossRef] [PubMed]
- Fayers, P.; Bottomley, A. Quality of Life Research within the EORTC—The EORTC QLQ-C30. Eur. J. Cancer 2002, 38, 125–133. [Google Scholar] [CrossRef]
- Kyriaki, M.; Eleni, T.; Efi, P.; Ourania, K.; Vassilios, S.; Lambros, V. The EORTC Core Quality of Life Questionnaire (QLQ-C30, Version 3.0) in Terminally Ill Cancer Patients under Palliative Care: Validity and Reliability in a Hellenic Sample. Int. J. Cancer 2001, 94, 135–139. [Google Scholar] [CrossRef]
- Wisløff, F.; Eika, S.; Hippe, E.; Hjorth, M.; Holmberg, E.; Kaasa, S.; Palva, I.; Westin, J. Measurement of Health-Related Quality of Life in Multiple Myeloma. Nordic Myeloma Study Group. Br. J. Haematol. 1996, 92, 604–613. [Google Scholar] [CrossRef]
- Cocks, K.; Cohen, D.; Wisløff, F.; Sezer, O.; Lee, S.; Hippe, E.; Gimsing, P.; Turesson, I.; Hajek, R.; Smith, A.; et al. An International Field Study of the Reliability and Validity of a Disease-Specific Questionnaire Module (the QLQ-MY20) in Assessing the Quality of Life of Patients with Multiple Myeloma. Eur. J. Cancer 2007, 43, 1670–1678. [Google Scholar] [CrossRef]
- Sully, K.; Trigg, A.; Bonner, N.; Moreno-Koehler, A.; Trennery, C.; Shah, N.; Yucel, E.; Panjabi, S.; Cocks, K. Estimation of Minimally Important Differences and Responder Definitions for EORTC QLQ-MY20 Scores in Multiple Myeloma Patients. Eur. J. Haematol. 2019, 103, 500–509. [Google Scholar] [CrossRef] [PubMed]
- Weiss, M.; Jacobus, S.; Wagner, L.I.; Cella, D.; Katz, M.S.; Rajkumar, V.; Fonseca, R. Development of the Functional Assessment of Cancer Therapy-Multiple Myeloma (FACT-MM) Scale and Validation in the Eastern Cooperative Oncology Group Trial E1A05. Blood 2011, 118, 4184. [Google Scholar] [CrossRef]
- Webster, K.; Cella, D.; Yost, K. The Functional Assessment of Chronic Illness Therapy (FACIT) Measurement System: Properties, Applications, and Interpretation. Health Qual. Life Outcomes 2003, 1, 79. [Google Scholar] [CrossRef] [PubMed]
- FACIT Group. FACT-MM: Functional Assessment of Cancer Therapy—Multiple Myeloma. Available online: https://www.facit.org/measures/FACT-MM (accessed on 15 June 2023).
- Breeze, J.; Mehta, J.; Tremblay, G.; Shacham, S.; Shah, J.; Li, L.; Kauffman, M.; Jagannath, S. PCN324 Minimal Clinically Important Difference (MCID) for the Functional Assessment of Cancer Therapy—Multiple Myeloma (FACT-MM): Two Approaches. Value Health 2020, 23, S81. [Google Scholar] [CrossRef]
- Jones, D.; Vichaya, E.G.; Wang, X.S.; Williams, L.A.; Shah, N.D.; Thomas, S.K.; Johnson, V.E.; Champlin, R.E.; Cleeland, C.S.; Mendoza, T.R. Validation of the M. D. Anderson Symptom Inventory Multiple Myeloma Module. J. Hematol. Oncol. 2013, 6, 13. [Google Scholar] [CrossRef] [PubMed]
- Cleeland, C.S.; Mendoza, T.R.; Wang, X.S.; Chou, C.; Harle, M.T.; Morrissey, M.; Engstrom, M.C. Assessing Symptom Distress in Cancer Patients: The M.D. Anderson Symptom Inventory. Cancer 2000, 89, 1634–1646. [Google Scholar] [CrossRef] [PubMed]
- Osborne, T.R.; Ramsenthaler, C.; Schey, S.A.; Siegert, R.J.; Edmonds, P.M.; Higginson, I.J. Improving the Assessment of Quality of Life in the Clinical Care of Myeloma Patients: The Development and Validation of the Myeloma Patient Outcome Scale (MyPOS). BMC Cancer 2015, 15, 280. [Google Scholar] [CrossRef]
- Goswami, P.; Oliva, E.N.; Ionova, T.; Else, R.; Kell, J.; Fielding, A.K.; Jennings, D.M.; Karakantza, M.; Al-Ismail, S.; Collins, G.P.; et al. Quality-of-Life Issues and Symptoms Reported by Patients Living with Haematological Malignancy: A Qualitative Study. Ther. Adv. Hematol 2020, 11, 2040620720955002. [Google Scholar] [CrossRef]
- Goswami, P.; Oliva, E.N.; Ionova, T.; Else, R.; Kell, J.; Fielding, A.K.; Jennings, D.M.; Karakantza, M.; Al-Ismail, S.; Collins, G.P.; et al. Development of a Novel Hematological Malignancy Specific Patient-Reported Outcome Measure (HM-PRO): Content Validity. Front. Pharmacol. 2020, 11, 209. [Google Scholar] [CrossRef]
- Goswami, P.; Oliva, E.N.; Ionova, T.; Else, R.; Kell, J.; Fielding, A.K.; Jennings, D.M.; Karakantza, M.; Al-Ismail, S.; Lyness, J.; et al. Paper and Electronic Versions of HM-PRO, a Novel Patient-Reported Outcome Measure for Hematology: An Equivalence Study. J. Comp. Eff. Res. 2019, 8, 523–533. [Google Scholar] [CrossRef]
- Goswami, P.; Oliva, E.N.; Ionova, T.; Else, R.; Kell, J.; Fielding, A.K.; Jennings, D.M.; Karakantza, M.; Al-Ismail, S.; Collins, G.P.; et al. Reliability of a Novel Hematological Malignancy Specific Patient-Reported Outcome Measure: HM-PRO. Front. Pharmacol. 2020, 11, 571066. [Google Scholar] [CrossRef] [PubMed]
- Goswami, P.; Oliva, E.N.; Ionova, T.; Else, R.; Kell, J.; Fielding, A.K.; Jennings, D.M.; Karakantza, M.; Al-Ismail, S.; Collins, G.P.; et al. Hematological Malignancy Specific Patient-Reported Outcome Measure (HM-PRO): Construct Validity Study. Front. Pharmacol. 2020, 11, 1308. [Google Scholar] [CrossRef] [PubMed]
- Goswami, P.; Oliva, E.N.; Ionova, T.; Salek, S. Responsiveness and the Minimal Clinically Important Difference for HM-PRO in Patients with Hematological Malignancies. Blood 2018, 132, 2294. [Google Scholar] [CrossRef]
- Cella, D.F.; Tulsky, D.S.; Gray, G.; Sarafian, B.; Linn, E.; Bonomi, A.; Silberman, M.; Yellen, S.B.; Winicour, P.; Brannon, J. The Functional Assessment of Cancer Therapy Scale: Development and Validation of the General Measure. J. Clin. Oncol. 1993, 11, 570–579. [Google Scholar] [CrossRef]
- FACIT Group. FACT-BMT: Functional Assessment of Cancer Therapy—Bone Marrow Transplantation. Available online: https://www.facit.org/Measures/FACT-BMT (accessed on 15 June 2023).
- Lau, A.K.L.; Chang, C.H.; Tai, J.W.M.; Eremenco, S.; Liang, R.; Lie, A.K.W.; Fong, D.Y.T.; Lau, C.M. Translation and Validation of the Functional Assessment of Cancer Therapy-Bone Marrow Transplant (FACT-BMT) Version 4 Quality of Life Instrument into Traditional Chinese. Bone Marrow Transpl. 2002, 29, 41–49. [Google Scholar] [CrossRef] [PubMed]
- Yellen, S.B.; Cella, D.F.; Webster, K.; Blendowski, C.; Kaplan, E. Measuring Fatigue and Other Anemia-Related Symptoms with the Functional Assessment of Cancer Therapy (FACT) Measurement System. J. Pain Symptom Manag. 1997, 13, 63–74. [Google Scholar] [CrossRef] [PubMed]
- FACIT Group. FACIT-F: Functional Assessment of Chronic Illness Therapy-Fatigue. Available online: https://www.facit.org/Measures/FACIT-F (accessed on 15 June 2023).
- Eek, D.; Ivanescu, C.; Kool-Houweling, L.; Cella, D. Psychometric Evaluation of the Functional Assessment of Chronic Illness Therapy-Fatigue Scale (FACIT-Fatigue) in Patients with Chronic Lymphocytic Leukemia (CLL). Blood 2019, 134, 4763. [Google Scholar] [CrossRef]
- Zigmond, A.S.; Snaith, R.P. The Hospital Anxiety and Depression Scale. Acta Psychiatr. Scand. 1983, 67, 361–370. [Google Scholar] [CrossRef]
- Snaith, R.P. The Hospital Anxiety And Depression Scale. Health Qual. Life Outcomes 2003, 1, 29. [Google Scholar] [CrossRef]
- Prieto, J.M.; Atala, J.; Blanch, J.; Carreras, E.; Rovira, M.; Cirera, E.; Gastó, C. Psychometric Study of Quality of Life Instruments Used during Hospitalization for Stem Cell Transplantation. J. Psychosom. Res. 2004, 57, 201–211. [Google Scholar] [CrossRef]
- Herrmann, C. International Experiences with the Hospital Anxiety and Depression Scale–A Review of Validation Data and Clinical Results. J. Psychosom. Res. 1997, 42, 17–41. [Google Scholar] [CrossRef] [PubMed]
- National Institutes of Health; National Cancer Institute. Patient-Reported Outcomes Version of the Common Terminology Criteria for Adverse Events; National Cancer Institute: Bethesda, MD, USA, 2023. Available online: https://healthcaredelivery.cancer.gov/pro-ctcae/ (accessed on 12 July 2023).
- Basch, E.; Thanarajasingam, G.; Dueck, A.C. Methodological Standards for Using the Patient-Reported Outcomes Version of the Common Terminology Criteria for Adverse Events (PRO-CTCAE) in Cancer Clinical Trials. Clin. Trials 2022, 19, 274–276. [Google Scholar] [CrossRef] [PubMed]
- Cella, D.F.; Lloyd, S.R. Data Collection Strategies for Patient-Reported Information. Qual. Manag. Health Care 1994, 2, 28–35. [Google Scholar] [CrossRef] [PubMed]
- King-Kallimanis, B.L.; Bhatnagar, V.; Horodniceanu, E.G.; Chen, T.-Y.; Kluetz, P.G. Timing Is Everything: The Importance of Patient-Reported Outcome Assessment Frequency When Characterizing Symptomatic Adverse Events. Clin. Trials 2022, 19, 267–273. [Google Scholar] [CrossRef] [PubMed]
- Raymakers, A.J.N.; Regier, D.A.; Peacock, S.J.; Freeman, C.L. Health-Related Quality of Life Data Collected in Chimeric Antigen Receptor T-Cell (CAR-T) Therapy Clinical Trials. J. Cancer Policy 2021, 30, 100304. [Google Scholar] [CrossRef] [PubMed]
- Mazza, G.L.; Enders, C.K.; Ruehlman, L.S. Addressing Item-Level Missing Data: A Comparison of Proration and Full Information Maximum Likelihood Estimation. Multivar. Behav. Res. 2015, 50, 504–519. [Google Scholar] [CrossRef]
- Patrick, D. Reporting of Patient-Reported Outcomes in Randomized Trials: The CONSORT PRO Extension. Value Health 2013, 16, 455–456. [Google Scholar] [CrossRef]
- Calvert, M.; Blazeby, J.; Altman, D.G.; Revicki, D.A.; Moher, D.; Brundage, M.D. CONSORT PRO Group Reporting of Patient-Reported Outcomes in Randomized Trials: The CONSORT PRO Extension. JAMA 2013, 309, 814–822. [Google Scholar] [CrossRef]
- Brundage, M.; Blazeby, J.; Revicki, D.; Bass, B.; de Vet, H.; Duffy, H.; Efficace, F.; King, M.; Lam, C.L.K.; Moher, D.; et al. Patient-Reported Outcomes in Randomized Clinical Trials: Development of ISOQOL Reporting Standards. Qual. Life Res. 2013, 22, 1161–1175. [Google Scholar] [CrossRef]
- Calvert, M.; Blazeby, J.; Revicki, D.; Moher, D.; Brundage, M. Reporting Quality of Life in Clinical Trials: A CONSORT Extension. Lancet 2011, 378, 1684–1685. [Google Scholar] [CrossRef]
- King, M.T.; Dueck, A.C.; Revicki, D.A. Can Methods Developed for Interpreting Group-Level Patient-Reported Outcome Data Be Applied to Individual Patient Management? Med. Care 2019, 57 (Suppl. S5, Suppl. S1), S38–S45. [Google Scholar] [CrossRef]
- Wyrwich, K.W.; Norquist, J.M.; Lenderking, W.R.; Acaster, S.; Industry Advisory Committee of International Society for Quality of Life Research (ISOQOL). Methods for Interpreting Change over Time in Patient-Reported Outcome Measures. Qual. Life Res. 2013, 22, 475–483. [Google Scholar] [CrossRef]
- Wu, X.; Liu, J.; Tanadini, L.G.; Lammertse, D.P.; Blight, A.R.; Kramer, J.L.K.; Scivoletto, G.; Jones, L.; Kirshblum, S.; Abel, R.; et al. Challenges for Defining Minimal Clinically Important Difference (MCID) after Spinal Cord Injury. Spinal Cord. 2015, 53, 84–91. [Google Scholar] [CrossRef]
- Richardson, P.G.; San Miguel, J.F.; Moreau, P.; Hajek, R.; Dimopoulos, M.A.; Laubach, J.P.; Palumbo, A.; Luptakova, K.; Romanus, D.; Skacel, T.; et al. Interpreting Clinical Trial Data in Multiple Myeloma: Translating Findings to the Real-World Setting. Blood Cancer J. 2018, 8, 109. [Google Scholar] [CrossRef]
PROM | Characteristics | MCID | Validated In | |||||
---|---|---|---|---|---|---|---|---|
Items, n. | Completion Time | Paper + Electronic | HM | MM | BMT | Languages | ||
EQ-5D-3L | 5 | <10 min | yes | yes | yes | yes | no | >150 |
EORTC QLQC30 | 30 | <10 min | yes | yes | yes | yes | yes | 110 |
EORTC MY20 * | 20 | 12 min | yes | yes | no | yes | yes | 50 |
FACT-MM (BMT) * | 41 | 10–15 min | no | yes | yes | yes | yes | 9 |
MDASI-MM * | 26 | 5 min | yes | no | no | yes | no | 30 |
MyPOS * | 30 | 7 min | no | no | no | yes | no | 2 |
HM-PRO ** | 42 | 7 min | yes | yes | yes | yes | yes | 11 |
PROM | Characteristics | Validated In | Symptoms | ||||||
---|---|---|---|---|---|---|---|---|---|
Items, n. | Completion Time | Paper + Electronic | MCID | HM | MM | BMT | Languages, n | ||
NRS/VAS | 1 | <5 min | Pain | ||||||
FACIT-F | 40 | 10–15 min | yes | no | yes | no | no | >50 | Fatigue |
HAD | 14 | 2–5 min | yes | no | yes | no | no | 127 | Psychological distress |
HM-PRO SS | 18 | 7 min | yes | yes | yes | yes | yes | 11 | Multiple |
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Laane, E.; Salek, S.; Oliva, E.N.; Bennink, C.; Clavreul, S.; Richardson, P.G.; Scheid, C.; Weisel, K.; Ionova, T., on behalf of the European Hematology Association Specialized Working Group on Quality of Life and Symptoms. Guidelines for the Use and Reporting of Patient-Reported Outcomes in Multiple Myeloma Clinical Trials. Cancers 2023, 15, 5764. https://doi.org/10.3390/cancers15245764
Laane E, Salek S, Oliva EN, Bennink C, Clavreul S, Richardson PG, Scheid C, Weisel K, Ionova T on behalf of the European Hematology Association Specialized Working Group on Quality of Life and Symptoms. Guidelines for the Use and Reporting of Patient-Reported Outcomes in Multiple Myeloma Clinical Trials. Cancers. 2023; 15(24):5764. https://doi.org/10.3390/cancers15245764
Chicago/Turabian StyleLaane, Edward, Sam Salek, Esther Natalie Oliva, Christine Bennink, Solène Clavreul, Paul G Richardson, Christof Scheid, Katja Weisel, and Tatyana Ionova on behalf of the European Hematology Association Specialized Working Group on Quality of Life and Symptoms. 2023. "Guidelines for the Use and Reporting of Patient-Reported Outcomes in Multiple Myeloma Clinical Trials" Cancers 15, no. 24: 5764. https://doi.org/10.3390/cancers15245764
APA StyleLaane, E., Salek, S., Oliva, E. N., Bennink, C., Clavreul, S., Richardson, P. G., Scheid, C., Weisel, K., & Ionova, T., on behalf of the European Hematology Association Specialized Working Group on Quality of Life and Symptoms. (2023). Guidelines for the Use and Reporting of Patient-Reported Outcomes in Multiple Myeloma Clinical Trials. Cancers, 15(24), 5764. https://doi.org/10.3390/cancers15245764