| Literature DB >> 30947476 |
Rodney E Wegner1, Stephen Abel1, Zachary D Horne1, Shaakir Hasan1, Vivek Verma1, Tulika Ranjan2, Richard W Williamson3, Stephen M Karlovits1.
Abstract
PURPOSE: Glioblastoma (GBM) carries a high propensity for in-field failure despite trimodality management. Past studies have failed to show outcome improvements with dose-escalation. Herein, we examined trends and outcomes associated with dose-escalation for GBM.Entities:
Keywords: Dose escalation; GBM; NCDB; Radiation therapy
Year: 2019 PMID: 30947476 PMCID: PMC6453808 DOI: 10.3857/roj.2019.00017
Source DB: PubMed Journal: Radiat Oncol J ISSN: 2234-1900
Fig. 1.CONSORT diagram dose escalation versus conventional radiation dose in glioblastoma.
Patient demographics and clinical characteristics at baseline (n = 33,991)
| Characteristic | No. (%) | |
|---|---|---|
| Sex | ||
| Male | 20,267 | (60) |
| Female | 13,724 | (40) |
| Race | ||
| White | 31,159 | (92) |
| African American | 1,701 | (5) |
| Other | 1,131 | (3) |
| Comorbidity score | ||
| 0 | 25,919 | (76) |
| 1 | 5,191 | (15) |
| ≥2 | 2,881 | (9) |
| Insurance | ||
| Not insured | 1,149 | (3) |
| Private payer | 18,895 | (56) |
| Government | 13,545 | (40) |
| Unrecorded | 402 | (1) |
| Education (%) | ||
| ≥29 | 4,137 | (12) |
| 20–28.9 | 7,641 | (23) |
| 14–19.9 | 11,496 | (35) |
| <14 | 10,020 | (30) |
| Treatment facility type | ||
| Community cancer program | 1,623 | (5) |
| Comprehensive community cancer program | 12,183 | (38) |
| Academic/research program | 18,216 | (57) |
| Treatment facility location | ||
| Metro | 27,031 | (83) |
| Urban | 4,958 | (15) |
| Rural | 616 | (2) |
| Income (USD) | ||
| <30,000 | 4,299 | (13) |
| 30,000–35,000 | 7,216 | (22) |
| 35,000–45,999 | 9,270 | (28) |
| >46,000 | 12,493 | (37) |
| Distance to treatment facility (mile) | ||
| ≤12 | 17,601 | (52) |
| >12 | 16,277 | (48) |
| Age distribution (yr) | ||
| ≤60 | 16,709 | (49) |
| >60 | 17,285 | (51) |
| Year of diagnosis | ||
| 2004-2006 | 6,818 | (20) |
| 2007-2009 | 8,751 | (26) |
| 2010-2012 | 10,518 | (31) |
| 2013-2014 | 7,904 | (23) |
| Dose escalated (≥66 Gy) | ||
| No | 32,768 | (96) |
| Yes | 1,223 | (4) |
Fig. 2.Line graph constructed via MedCalc demonstrating the declining utilization of dose escalation beyond 66 Gy in management of glioblastoma.
Comparative use of dose escalation by baseline characteristics in patients receiving brain radiation for glioblastoma
| Characteristic | Dose of 60 Gy (n = 32,768) | Dose ≥66 Gy (n = 1,223) | OR | 95% CI | p-value |
|---|---|---|---|---|---|
| Sex | |||||
| Male | 19,561 (47) | 706 (58) | 1 | Ref | |
| Female | 13,207 (53) | 517 (42) | 1.08 | 0.97–1.22 | 0.17 |
| Race | |||||
| White | 30,039 (92) | 1,120 (92) | 1 | Ref | |
| African American | 1,623 (5) | 78 (7) | 1.29 | 1.02–1.63 | 0.0342[ |
| Other | 1106 (3) | 25 (1) | 0.61 | 0.41–0.91 | 0.0144[ |
| Comorbidity score | |||||
| 0 | 24,947 (76) | 972 (79) | 1 | Ref | |
| 1 | 5,045 (15) | 146 (12) | 0.74 | 0.62–0.89 | 0.001[ |
| ≥2 | 2,776 (ㅈ9) | 105 (9) | 0.97 | 0.79–1.19 | 0.78 |
| Age (yr) | |||||
| ≤60 | 16,598 (51) | 570 (47) | 1 | Ref | |
| >60 | 16,170 (49) | 540 (53) | 0.97 | 0.86–1.10 | 0.65 |
| Insurance | |||||
| None | 1,113 (3) | 36 (3) | 1 | Ref | |
| Private payer | 18,212 (55) | 683 (56) | 1.16 | 0.82–1.63 | 0.39 |
| Government | 13,060 (39) | 485 (40) | 1.15 | 0.81–1.62 | 0.43 |
| Unknown | 383 (3) | 19 (1) | 1.53 | 0.87–2.70 | 0.14 |
| Education (%) | |||||
| ≥29 | 3,977 (12) | 160 (13) | 1 | Ref | |
| 20–28.9 | 7,357 (23) | 284 (24) | 0.96 | 0.79–1.17 | 0.68 |
| 14–19.9 | 11,073 (34) | 423 (35) | 0.95 | 0.79–1.14 | 0.58 |
| <14 | 9,690 (31) | 330 (28) | 0.85 | 0.70–1.03 | 0.0896 |
| Facility type | |||||
| Community cancer program | 1,554 (5) | 69 (6) | 1 | Ref | |
| Comprehensive cancer program | 11,711 (38) | 472 (41) | 0.91 | 0.70–1.18 | 0.46 |
| Academic/research program | 17,614 (57) | 602 (53) | 0.77 | 0.60–0.99 | 0.0438[ |
| Facility location | |||||
| Metro | 26,118 (83 | 913 (77) | 1 | Ref | |
| Urban | 4,714 (15) | 244 (21) | 1.48 | 1.28–1.71 | <0.0001[ |
| Rural | 591 (2) | 25 (2) | 1.21 | 0.81–1.82 | 0.36 |
| Income (USD) | |||||
| <30,000 | 4,092 (13) | 207 (17) | 1 | Ref | |
| 30,000–35,000 | 6,939 (22) | 277 (23) | 0.79 | 0.66–0.95 | 0.017[ |
| 35,000–45,999 | 8,942 (28) | 328 (27) | 0.73 | 0.61–0.87 | 0.0004[ |
| >46,000 | 12,108 (37) | 385 (33) | 0.63 | 0.53–0.75 | <0.0001[ |
| Distant to facility (mile) | |||||
| ≤12 | 15,740 (48) | 537 (48) | 1 | Ref | |
| >12 | 17,028 (52) | 573 (52) | 0.99 | 0.88–1.11 | 0.82 |
| Year of diagnosis | |||||
| 2004-2006 | 6,374 (19) | 444 (36) | 1 | Ref | |
| 2007-2009 | 8,430 (26) | 321 (26) | 0.55 | 0.47–0.63 | <0.0001[ |
| 2010-2012 | 10,239 (29) | 279 (23) | 0.39 | 0.34–0.46 | <0.0001[ |
| 2013-2014 | 7,725 (36) | 179 (15) | 0.33 | 0.28–0.40 | <0.0001[ |
Values are presented as number (%).
Education is quartiles of the percentage of persons with less than a high school education in the patients’ residence census tract. Income is median household income in the patients’ residence census tract.
p < 0.05.
Fig. 3.Kaplan-Meier curve constructed via MedCalc comparing overall survival in patients with glioblastoma receiving conventional radiation dose versus dose escalation beyond 66 Gy.
Multivariable cox proportional hazards models for overall survival in patients receiving radiation for glioblastoma, without and with propensity score adjustment
| Significant characteristic | Hazard of death (95% CI) | p-value |
|---|---|---|
| Cox model without propensity score | ||
| Age (yr) | ||
| ≤60 | Ref | |
| >60 | 1.37 (1.33–1.41) | <0.0001 |
| Comorbid score | ||
| 0 | Ref | |
| 1 | 1.12 (1.09–1.16) | <0.0001 |
| 2 | 1.25 (1.21–1.30) | <0.0001 |
| Facility type | ||
| Community cancer program | Ref | |
| Comprehensive community cancer program | 0.93 (0.88–0.99) | 0.0142 |
| Academic/research program | 0.85 (0.80–0.89) | <0.0001 |
| Education (%) | ||
| ≥29 | Ref | |
| 20–28.9 | 1.06 (1.01–1.10) | 0.0173 |
| 14–19.9 | 1.06 (1.01–1.10) | 0.0095 |
| <14 | 1.05 (1.00–1.10) | 0.0610 |
| Income (USD) | ||
| <30,000 | Ref | |
| 30,000–35,000 | 1.01 (0.97–1.05) | 0.67 |
| 35,000–45,999 | 0.94 (0.91–0.97) | 0.0001 |
| >46,000 | 0.89 (0.85–0.92) | <0.0001 |
| Insurance | ||
| None | Ref | |
| Private | 0.99 (0.93–1.06) | 0.78 |
| Government | 1.20 (1.17–1.23) | <0.0001 |
| Years of diagnosis | ||
| 2004–2006 | Ref | |
| 2007–2009 | 0.95 (0.91–0.98) | 0.0008 |
| 2010–2012 | 0.88 (0.85–0.91) | <0.0001 |
| 2013–2014 | 0.83 (0.80–0.86) | <0.0001 |
| Sex | ||
| Male | Ref | |
| Female | 0.87 (0.85–0.90) | <0.0001 |
| Race | ||
| Caucasian | Ref | |
| African American | 0.89 (0.84–0.94) | <0.0001 |
| Other | 0.83 (0.77–0.88) | <0.0001 |
| Cox model with propensity score | ||
| Age (yr) | ||
| ≤60 | Reference | |
| >60 | 1.51 (1.47–1.55) | <0.0001 |
| Distance (mile) | ||
| ≤12 | Reference | |
| >12 | 0.97 (0.95–1.00) | 0.0216 |
| Education (%) | ||
| >29 | Reference | |
| 20–28.9 | 1.07 (1.04–1.10) | <0.0001 |
| 14–19.9 | 1.05 (1.02–1.08) | 0.0004 |
| <14 | 0.99 (0.95–1.03) | 0.47 |
| Insurance | ||
| None | Reference | |
| Private | 1.02 (0.96–1.09) | 0.54 |
| Government | 1.19 (1.16–1.23) | <0.0001 |
| Sex | ||
| Male | Reference | |
| Female | 0.88 (0.86–0.90) | <0.0001 |
| Propensity score | 24.98 (13.23–47.16) | <0.0001 |