| Literature DB >> 35762393 |
Julia Lai-Kwon1, Alyssa M Vanderbeek2, Anna Minchom1, Olalekan Lee Aiyegbusi3, Della Ogunleye4, Richard Stephens4, Melanie Calvert3,5,6, Christina Yap2.
Abstract
BACKGROUND: Patient-reported adverse events may be a useful adjunct for assessing a drug's tolerability in dose-finding oncology trials (DFOT). We conducted surveys of international stakeholders and the National Cancer Research Institute (NCRI) Consumer Forum to understand attitudes about patient-reported outcome (PRO) use in DFOT.Entities:
Keywords: adverse events; cancer; clinical trials; drug development; patient-reported outcomes; quality of life
Mesh:
Year: 2022 PMID: 35762393 PMCID: PMC9438918 DOI: 10.1093/oncolo/oyac117
Source DB: PubMed Journal: Oncologist ISSN: 1083-7159 Impact factor: 5.837
Global survey participant characteristics.
| Clinician ( | Statistician ( | Trial manager ( | Funder/regulator ( | Total ( | |
|---|---|---|---|---|---|
| Years of experience | |||||
| 0-2 years | 7 (14.5%) | 4 (10.5%) | 3 (17.6%) | – | 14 (12.5%) |
| 3-5 years | 3 (6.2%) | 7 (18.4%) | 8 (47.1%) | 1 (11.1%) | 19 (16.9%) |
| 6-10 years | 15 (31.2%) | 12 (31.5%) | 4 (23.5%) | 4 (44.4%) | 35 (31.2%) |
| 11-20 years | 16 (33.3%) | 10 (26.3%) | 1 (5.8%) | 4 (44.4%) | 31 (27.6%) |
| 20+ years | 7 (14.5%) | 5 (13.2%) | 1 (5.8%) | – | 13 (11.6%) |
| Countries | |||||
| United Kingdom | 28 (58.3%) | 18 (47.3%) | 14 (82.3%) | 5 (55.6%) | 65 (58.0%) |
| Europe | 3 (6.2%) | 1 (2.6%) | 1 (5.8%) | 3 (33.3%) | 8 (7.1%) |
| United States | 2 (4.2%) | 18 (47.3%) | 1 (5.8%) | 1 (11.1%) | 22 (19.6%) |
| Canada | 6 (12.5%) | – | – | – | 6 (5.3%) |
| Australia and New Zealand | 2 (4.2%) | – | 1 (5.8%) | – | 3 (2.6%) |
| Asia | 7 (14.5%) | 1 (2.6%) | – | – | 8 (7.1%) |
| Prior experience in... | |||||
| Designing PROs | 10 (20.8%) | 16 (42.1%) | 4 (23.5%) | – | 30 (29.1%) |
| 1-3 trials | 5 (10.4%) | 11 (28.9%) | 2 (11.7%) | 18 (16.1%) | |
| 4-6 | 3 (6.2%) | 3 (6.2%) | 1 (5.8%) | 7 (6.2%) | |
| 7-10 | 1 (2.1%) | 1 (2.6%) | – | 2 (1.8%) | |
| >10 | 1 (2.1%) | 1 (2.6%) | 1 | 3 (2.6%) | |
| Conducting PROs | 27 (56.2%) | 12 (31.6%) | 12 (70.6%) | – | 51 (49.5%) |
| 1-3 trials | 16 (33.3%) | 11 (28.9%) | 7 (41.1%) | 34 (30.3%) | |
| 4-6 | 5 (10.4%) | 1 (2.6%) | 3 (17.6%) | 9 (8.1%) | |
| 7-10 | 2 (4.2%) | – | 1 (5.8%) | 3 (2.6%) | |
| >10 | 4 (8.3%) | – | 1 (5.8%) | 5 (4.4%) | |
| Reporting PROs | 6 (12.5%) | 8 (21.1%) | 1 (5.9%) | – | 15 (14.6%) |
| 1-3 trials | 5 (10.4%) | 7 (18.4%) | 1 (5.8%) | 13 (11.6%) | |
| 4-6 | 1 (2.1%) | – | – | 1 (0.9%) | |
| 7-10 | – | – | – | – | |
| >10 | – | 1 (2.6%) | – | 1 (0.9%) | |
| Using PROs to select tolerable doses during a dose escalation meeting | 1 (2.1%) | 1 (2.6%) | 1 (5.9%) | – | 3 (2.6%) |
| Using PROs to help determine the MTD | 1 (2.1%) | 1 (2.6%) | 1 (5.9%) | – | 3 (2.6%) |
| Using PROs to help determine the RP2D | – | 2 (5.3%) | 1 (5.9%) | – | 3 (2.6%) |
| Reviewed trials with PROs endpoints (for funding or regulatory approval) | – | – | – | 5 (55.5%) | 5 (55.5%) |
Top 5 benefits of PROs in dose-finding oncology trials by work role (n (%))
| Clinician | Statistician | Trial manager/ administrator | Funder | Regulator | All | |
|---|---|---|---|---|---|---|
| ( | ( | ( | ( | ( | ( | |
| Reliably capture toxicity information from patients | 34 (70.8) | 22 (57.9) | 11 (64.7) | 2 (100) | 4 (57.1) | 73 (65.2) |
| Identify new types of toxicities | 34 (70.8) | 23 (60.5) | 12 (70.6) | 1 (50) | 5 (71.4) | 75 (67) |
| Provide information about frequency of occurrence | 36 (75) | 29 (76.3) | 13 (76.5) | 2 (100) | 6 (85.7) | 86 (76.8) |
| Provide information about duration of toxicities | 35 (72.9) | 25 (65.8) | 13 (76.5) | 2 (100) | 6 (85.7) | 81 (72.3) |
| Capture moderate, chronic, or delayed toxicities | 34 (70.8) | 27 (71.1) | 12 (70.6) | 1 (50) | 3(42.9) | 77 (68.8) |
Top 5 barriers to PRO use in dose-finding oncology trials by work role among trialists (n (%))
| Clinicians | Statisticians | Trial manager/administrator | ||||
|---|---|---|---|---|---|---|
| ( | ( | ( | ||||
| Rank | Barrier | Number (proportion) | Barrier | Number (proportion) | Barrier | Number (proportion) |
| 1 | Lack of guidance | 41 (85.4) | Potential for missing data | 31 (81.6) | Overburdening staff with PROs collection | 12 (70.6) |
| 2 | Lack of access to specialist advice | 37 (77.1) | Overburdening patients with PROs collection | 26 (68.4) | Lack of guidance | 11 (64.7) |
| 3 | Overburdening staff with patient queries | 36 (75) | Overburdening staff with PROs collection | 24 (63.2) | Lack of access to specialist advice | 10 (58.8) |
| 4 | Overburdening staff with data queries | 36 (75) | Lack of guidance | 21 (55.3) | Potential for missing data | 10 (58.8) |
| 5 | Overburdening patients with PROs collection | 32 (66.7) | Overburdening staff with patient queries | 19 (50.0) | Lack of concordance between CTCAE gradings and PROs | 9 (52.9) |
Figure 1.Attitudes toward PROs for dose–escalation decisions: (a) By work role and (b) by number of years of work experience.
Figure 2.NCRI consumer forum—attitudes toward using PROs in dose-finding oncology trials.
Figure 3.NCRI consumer forum—a consumer perspective (Della Ogunleye and Richard Stephens).