Split-Dose Cisplatin Use, Eligibility Criteria, and Drivers for Treatment Choice in Patients with Locally Advanced or Metastatic Urothelial Carcinoma: Results of a Large International Physician Survey
Simple Summary
Abstract
1. Introduction
2. Methods
2.1. Study Design
2.2. Study Participants
2.3. Data Collection
2.4. Statistical Analysis
3. Results
3.1. Physician Demographics and Characteristics
3.2. Use of Split-Dose Cisplatin in UC and la/mUC
3.3. Physician Characteristics Influencing Prescribing Behavior for Split-Dose Cisplatin
3.4. Eligibility Criteria and Thresholds for the Use of Split-Dose Cisplatin in la/mUC
3.5. Treatment Preferences for la/mUC with Borderline Kidney Function
4. Discussion
Strengths and Limitations
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Correction Statement
References
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Total | Europe a | North America b | Brazil | India | Australia | p Value | |
---|---|---|---|---|---|---|---|
N = 791 | n = 375 | n = 184 | n = 100 | n = 107 | n = 25 | ||
Age, years | <0.001 | ||||||
Mean (SD) | 43.2 (9.3) | 44.4 (9.1) | 45.0 (10.7) | 39.2 (6.7) | 39.7 (7.4) | 43.5 (9.4) | |
Median (IQR) | 41 (36–50) | 44 (37–51) | 45 (38–53) | 38 (35–42) | 39 (35–42) | 40 (35–50) | |
Years in clinical practice c | <0.001 | ||||||
Mean (SD) | 13.2 (7.3) | 14.1 (6.9) | 14.7 (7.8) | 9.8 (5.7) | 10.8 (6.9) | 10.9 (7.9) | |
Median (IQR) | 12 (7–18) | 14 (8–19) | 14 (8–20) | 8 (6–12) | 9 (7–14) | 8 (4–16) | |
Gender, n (%) | 0.001 | ||||||
Female | 210 (26.5) | 110 (29.3) | 32 (17.4) | 46 (46.0) | 16 (15.0) | 6 (24.0) | |
Male | 578 (73.1) | 264 (70.4) | 151 (82.1) | 54 (54.0) | 91 (85.0) | 18 (72.0) | |
Other | 3 (0.4) | 1 (0.3) | 1 (0.5) | 0 (0) | 0 (0) | 1 (4.0) | |
Medical specialty, n (%) | <0.001 | ||||||
Medical oncologist | 725 (91.7) | 325 (86.7) | 184 (100) | 100 (100) | 91 (85.0) | 25 (100) | |
Urologist | 66 (8.3) | 50 (13.3) | 0 (0) | 0 (0) | 16 (15.0) | 0 (0) | |
Practice setting, n (%) | <0.001 | ||||||
Private | 271 (34.3) | 30 (8.0) | 61 (33.2) | 88 (88.0) | 90 (84.1) | 2 (8.0) | |
Public | 436 (55.1) | 314 (83.7) | 92 (50.0) | 4 (4.0) | 13 (12.1) | 13 (52.0) | |
I spend equal time in either setting | 84 (10.6) | 31 (8.3) | 31 (16.8) | 8 (8.0) | 4 (3.7) | 10 (40.0) | |
Principal practice location, n (%) | <0.001 | ||||||
Academic/teaching hospital or specialized cancer center | 465 (58.8) | 255 (68.0) | 103 (56.0) | 44 (44.0) | 42 (39.3) | 21 (84.0) | |
Community/nonteaching hospital | 212 (26.8) | 89 (23.7) | 51 (27.7) | 6 (6.0) | 64 (59.8) | 2 (8.0) | |
Office-based practice | 114 (14.4) | 31 (8.3) | 30 (16.3) | 50 (50.0) | 1 (0.9) | 2 (8.0) | |
Hospital/center size, n (%) | <0.001 | ||||||
Large (≥500 beds) | 404 (51.1) | 235 (62.7) | 92 (50.0) | 22 (22.0) | 40 (37.4) | 15 (60.0) | |
Medium (100–499 beds) | 231 (29.2) | 97 (25.9) | 56 (30.4) | 26 (26.0) | 46 (43.0) | 6 (24.0) | |
Small (<100 beds) | 36 (4.6) | 7 (1.9) | 6 (3.3) | 2 (2.0) | 19 (17.8) | 2 (8.0) | |
Don’t know/unsure | 6 (0.8) | 5 (1.3) | 0 (0) | 0 (0) | 1 (0.9) | 0 (0) | |
NA (office-based practice) | 114 (14.4) | 31 (8.3) | 30 (16.3) | 50 (50.0) | 1 (0.9) | 2 (8.0) | |
Number of monthly new (first-time) patients with UC | <0.001 | ||||||
Mean (SD) | 24.9 (44.8) | 24.9 (44.8) | 32.0 (52.8) | 27.8 (45.6) | 11.7 (15.1) | 11.7 (25.8) | |
Median (IQR) | 10 (5–28) | 10 (5–28) | 16 (10–35) | 12 (5–30) | 6 (4–15) | 5 (3–10) | |
Number of monthly new (first-time) and follow-up patients with UC | <0.001 | ||||||
Mean (SD) | 42.0 (59.2) | 51.6 (66.3) | 47.1 (65.8) | 23.3 (23.8) | 21.4 (34.9) | 23.7 (30.6) | |
Median (IQR) | 25 (12–50) | 30 (20–60) | 25 (15–50) | 15 (10–26) | 10 (6–23) | 10 (8–20) | |
Number of monthly new (first time) patients with la/mUC treated | <0.001 | ||||||
Mean (SD) | 28.5 (44.5) | 35.3 (49.3) | 33.4 (52.7) | 16.2 (18.1) | 10.7 (16.6) | 14.8 (17.3) | |
Median (IQR) | 15 (8–30) | 20 (10–40) | 18 (10–30) | 10 (5–20) | 5 (3–10) | 8 (4–15) | |
Enrollment of patients with UC in clinical trials, n (%) | <0.001 | ||||||
Yes | 395 (49.9) | 211 (56.3) | 92 (50.0) | 47 (47.0) | 26 (24.3) | 19 (76.0) | |
No | 396 (50.1) | 164 (43.7) | 92 (50.0) | 53 (53.0) | 81 (75.7) | 6 (24.0) | |
Guidelines considered for the treatment of UC, n (%) d | |||||||
EAU | 271 (34.3) | 184 (49.1) | 26 (14.1) | 22 (22.0) | 33 (30.8) | 6 (24.0) | <0.001 |
ESMO | 476 (60.2) | 302 (80.5) | 45 (24.5) | 72 (72.0) | 39 (36.4) | 18 (72.0) | <0.001 |
NCCN | 490 (61.9) | 152 (40.5) | 154 (83.7) | 80 (80.0) | 85 (79.4) | 19 (76.0) | <0.001 |
AUA/SUO | 115 (14.5) | 52 (13.9) | 38 (20.7) | 11 (11.0) | 11 (10.3) | 3 (12.0) | <0.001 |
ASCO | 381 (48.2) | 156 (41.6) | 110 (59.8) | 81 (81.0) | 20 (18.7) | 14 (56.0) | <0.001 |
National guideline(s) | 143 (18.1) | 103 (27.5) | 6 (3.3) | 26 (26.0) | 4 (3.7) | 4 (16.0) | 0.0665 |
Other international guideline(s) | 6 (0.8) | 4 (1.1) | 0 (0) | 1 (1.0) | 1 (0.9) | 0 (0) | 0.1344 |
Institutional guideline(s) | 100 (12.6) | 53 (14.1) | 16 (8.7) | 14 (14.0) | 11 (10.3) | 6 (24.0) | 0.4008 |
None e | 11 (1.4) | 7 (1.9) | 2 (1.1) | 1 (1.0) | 0 (0) | 1 (4.0) | 0.7491 |
Method to assess kidney function in patients with UC being considered for platinum-based chemotherapy, n (%) d | <0.001 | ||||||
Calculated creatinine clearance | 680 (86.0) | 337 (89.9) | 149 (81.0) | 90 (90.0) | 81 (75.7) | 23 (92.0) | |
Measured creatinine clearance | 196 (24.8) | 106 (28.3) | 58 (31.5) | 20 (20.0) | 10 (9.3) | 2 (8.0) | |
Measured GFR | 251 (31.7) | 141 (37.6) | 75 (40.8) | 17 (17.0) | 12 (11.2) | 6 (24.0) | |
Serum creatinine value | 338 (42.7) | 155 (41.3) | 96 (52.2) | 40 (40.0) | 42 (39.3) | 5 (20.0) | |
Other | 5 (0.6) | 2 (0.5) | 1 (0.5) | 0 (0) | 2 (1.9) | 0 (0) | |
Formula used to calculate creatinine clearance, n (%) f | n = 680 | n = 337 | n = 149 | n = 90 | n = 81 | n = 23 | |
Cockcroft-Gault equation | 462 (67.9) | 202 (59.9) | 108 (72.5) | 62 (68.9) | 72 (88.9) | 18 (78.3) | 0.002 |
Modification of Diet in Renal Disease equation | 82 (12.1) | 56 (16.6) | 9 (6.0) | 11 (12.2) | 5 (6.2) | 1 (4.3) | |
Chronic Kidney Disease Epidemiology Collaboration equation | 99 (14.6) | 52 (15.4) | 25 (16.8) | 16 (17.8) | 2 (2.5) | 4 (17.4) | |
Jelliffe equation | 4 (0.6) | 3 (0.9) | 0 (0) | 0 (0) | 1 (1.2) | 0 (0) | |
Wright equation | 6 (0.9) | 4 (1.2) | 2 (1.3) | 0 (0) | 0 (0) | 0 (0) | |
Unsure | 24 (3.5) | 19 (5.6) | 3 (2.0) | 1 (1.1) | 1 (1.2) | 0 (0) | |
Other | 3 (0.4) | 1 (0.3) | 2 (1.3) | 0 (0) | 0 (0) | 0 (0) | |
Prescribes split-dose cisplatin (any setting), n (%) | 670 (84.7) | 334 (89.1) | 168 (91.3) | 67 (67.0) | 82 (76.6) | 19 (76.0) | <0.001 |
n = 670 g | n = 334 | n = 168 | n = 67 | n = 82 | n = 19 | ||
Percentage of patients treated with split-dose cisplatin in the neoadjuvant setting | <0.001 | ||||||
Mean (SD) | 40.9 (26.3) | 34.7 (22.5) | 39.0 (22.4) | 70.0 (25.5) | 49.0 (30.1) | 27.8 (28.3) | |
Median (IQR) | 34 (20–56) | 30 (20–50) | 35 (20–50) | 70 (50–98) | 50 (20–75) | 20 (10–32) | |
Percentage of patients treated with split-dose cisplatin in the adjuvant setting | <0.001 | ||||||
Mean (SD) | 39.5 (26.0) | 34.4 (22.4) | 37.8 (22.7) | 64.4 (27.8) | 47.3 (31.1) | 21.7 (21.5) | |
Median (IQR) | 35 (20–54) | 30 (20–50) | 35 (20–50) | 65 (50–83) | 50 (20–75) | 20 (8–20) | |
Percentage of patients treated with split-dose cisplatin in the advanced setting | <0.001 | ||||||
Mean (SD) | 43.0 (26.8) | 36.8 (22.8) | 40.1 (23.8) | 70.2 (27.9) | 54.4 (30.7) | 33.3 (22.6) | |
Median (IQR) | 40 (20–60) | 30 (20–50) | 35 (24–51) | 80 (50–100) | 50 (30–80) | 33 (15–48) |
Total N = 660 | USA n = 135 | India n = 81 | Brazil n = 67 | Germany n = 67 | France n = 70 | UK n = 60 | Italy n = 69 | Spain n = 64 | Canada n = 29 | Australia n = 18 | |
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Within the unresectable locally advanced or metastatic setting, in which line(s) of treatment do you consider using split-dose cisplatin? (multiple answers possible) | |||||||||||
1L | 548 (83.0) | 102 (75.6) | 62 (76.5) | 64 (95.5) | 55 (82.1) | 62 (88.6) | 51 (85.0) | 61 (88.4) | 53 (82.8) | 23 (79.3) | 15 (83.3) |
2L | 340 (51.5) | 87 (64.4) | 26 (32.1) | 31 (46.3) | 40 (59.7) | 29 (41.4) | 42 (70.0) | 30 (43.5) | 32 (50.0) | 18 (62.1) | 5 (27.8) |
3L | 168 (25.5) | 51 (37.8) | 10 (12.3) | 14 (20.9) | 21 (31.3) | 15 (21.4) | 20 (33.3) | 14 (20.3) | 15 (23.4) | 4 (13.8) | 4 (22.2) |
Which split-dose cisplatin regimens do you use in patients with la/mUC? (top five regimens; multiple answers possible) | |||||||||||
GC 35 mg/m2, days 1 + 8 of 21-day cycles | 378 (57.3) | 75 (55.6) | 39 (48.1) | 48 (71.6) | 36 (53.7) | 36 (51.4) | 36 (60.0) | 42 (60.9) | 35 (54.7) | 17 (58.6) | 14 (77.8) |
GC 25 mg/m2, days 1 + 8 of 21-day cycles | 86 (13.0) | 15 (11.1) | 14 (17.3) | 9 (13.4) | 5 (7.5) | 11 (15.7) | 9 (15.0) | 10 (14.5) | 11 (17.2) | 2 (6.9) | 0 |
GC 35 mg/m2, days 1 + 8 of 28-day cycles | 36 (5.5) | 7 (5.2) | 6 (7.4) | 0 | 8 (11.9) | 2 (2.9) | 3 (5.0) | 4 (5.8) | 2 (3.1) | 3 (10.3) | 1 (5.6) |
GC 35 mg/m2, days 1 + 2 of 21-day cycles | 25 (3.8) | 4 (3.0) | 6 (7.4) | 3 (4.5) | 3 (4.5) | 4 (5.7) | 1 (1.7) | 0 | 1 (1.6) | 1 (3.4) | 2 (11.1) |
GC 35 mg/m2, days 1 + 15 of 21-day cycles | 20 (3.0) | 6 (4.4) | 2 (2.5) | 0 | 1 (1.5) | 2 (2.9) | 2 (3.3) | 2 (2.9) | 5 (7.8) | 0 | 0 |
In patients with la/mUC, do you routinely use avelumab as first-line maintenance if there is no disease progression during or after split-dose cisplatin-based chemotherapy? | |||||||||||
Yes | 531 (80.5) | 111 (82.2) | 23 (28.4) | 62 (92.5) | 53 (79.1) | 66 (94.3) | 49 (81.7) | 67 (97.1) | 60 (93.8) | 22 (75.9) | 18 (100) |
No | 129 (19.5) | 24 (17.8) | 58 (71.6) | 5 (7.5) | 14 (20.9) | 4 (5.7) | 11 (18.3) | 2 (2.9) | 4 (6.3) | 7 (24.1) | 0 |
Covariate | OR (95% CI) | p Value |
---|---|---|
Model excluding geographic region | ||
Specialty: oncologist | 1 (ref) | |
Specialty: urologist | 0.45 (0.24–0.88) | 0.016 |
Practice years (per decade) | 1.58 (1.18–2.16) | 0.003 |
Practice setting: private | 1 (ref) | |
Practice setting: public | 1.94 (1.27–2.97) | 0.002 |
Practice setting: I spend equal time in either setting | 2.58 (1.21–6.17) | 0.021 |
Total number of patients with UC per month (per 10 patients) | 1.06 (1.01–1.14) | 0.045 |
Model including geographic region | ||
Specialty: oncologist | 1 (ref) | |
Specialty: urologist | 0.38 (0.19–0.77) | 0.006 |
Practice years (per decade) | 1.37 (1.01–1.90) | 0.047 |
Practice setting: private | 1 (ref) | |
Practice setting: public | 1.12 (0.60–2.09) | 0.713 |
Practice setting: I spend equal time in either setting | 2.04 (0.88–5.24) | 0.113 |
Total number of patients with UC per month (per 10 patients) | 1.05 (1.00–1.12) | 0.093 |
Region: Europe a | 1 (ref) | |
Region: North America b | 1.11 (0.59–2.20) | 0.748 |
Region: Brazil | 0.30 (0.14–0.64) | 0.002 |
Region: India | 0.58 (0.27–1.22) | 0.149 |
Region: Australia | 0.35 (0.13–1.06) | 0.051 |
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O’Dwyer, R.; Junker, S.; Szulkin, R.; Kienzle, S.; Kearney, M.; Sridhar, S.S. Split-Dose Cisplatin Use, Eligibility Criteria, and Drivers for Treatment Choice in Patients with Locally Advanced or Metastatic Urothelial Carcinoma: Results of a Large International Physician Survey. Cancers 2025, 17, 509. https://doi.org/10.3390/cancers17030509
O’Dwyer R, Junker S, Szulkin R, Kienzle S, Kearney M, Sridhar SS. Split-Dose Cisplatin Use, Eligibility Criteria, and Drivers for Treatment Choice in Patients with Locally Advanced or Metastatic Urothelial Carcinoma: Results of a Large International Physician Survey. Cancers. 2025; 17(3):509. https://doi.org/10.3390/cancers17030509
Chicago/Turabian StyleO’Dwyer, Richard, Sophia Junker, Robert Szulkin, Scarlette Kienzle, Mairead Kearney, and Srikala S. Sridhar. 2025. "Split-Dose Cisplatin Use, Eligibility Criteria, and Drivers for Treatment Choice in Patients with Locally Advanced or Metastatic Urothelial Carcinoma: Results of a Large International Physician Survey" Cancers 17, no. 3: 509. https://doi.org/10.3390/cancers17030509
APA StyleO’Dwyer, R., Junker, S., Szulkin, R., Kienzle, S., Kearney, M., & Sridhar, S. S. (2025). Split-Dose Cisplatin Use, Eligibility Criteria, and Drivers for Treatment Choice in Patients with Locally Advanced or Metastatic Urothelial Carcinoma: Results of a Large International Physician Survey. Cancers, 17(3), 509. https://doi.org/10.3390/cancers17030509