Impact of marital status and race on outcomes of patients enrolled in Radiation Therapy Oncology Group prostate cancer trials
Introduction Previous studies by our group and others have demonstrated the importance of sociodemographic factors in cancer-related outcomes. The identification of these factors has led to novel approaches to the care of the high-risk cancer patient, specifically in the adoption of clinical interve...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Du, Kevin Lee [verfasserIn] Bae, Kyounghwa [verfasserIn] Movsas, Benjamin [verfasserIn] Yan, Yan [verfasserIn] Bryan, Charlene [verfasserIn] Bruner, Deborah Watkins [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2011 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Supportive care in cancer - Berlin : Springer, 1993, 20(2011), 6 vom: 01. Juli, Seite 1317-1325 |
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| Übergeordnetes Werk: |
volume:20 ; year:2011 ; number:6 ; day:01 ; month:07 ; pages:1317-1325 |
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| DOI / URN: |
10.1007/s00520-011-1219-4 |
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| Katalog-ID: |
SPR006589324 |
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| 245 | 1 | 0 | |a Impact of marital status and race on outcomes of patients enrolled in Radiation Therapy Oncology Group prostate cancer trials |
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| 520 | |a Introduction Previous studies by our group and others have demonstrated the importance of sociodemographic factors in cancer-related outcomes. The identification of these factors has led to novel approaches to the care of the high-risk cancer patient, specifically in the adoption of clinical interventions that convey similar benefits as favorable sociodemographic characteristics. This study examined the importance of marital status and race as prognostic indicators in men with prostate cancer. Methods This report is a meta-analysis of 3,570 patients with prostate cancer treated in three prospective RTOG clinical trials. The Kaplan–Meier method was used to estimate the survival rate and the cumulative incidence method was used to analyze biochemical failure rate. Hazard ratios were calculated for all covariates using either the Cox or Fine and Gray’s proportional hazards model or logistic regression model with associated 95% confidence intervals and p values. Results Hazard ratio (HR) for overall survival (OS) for single status compared to married status was 1.36 (95% CI, 1.2 to 1.53). OS HR for non-White compared to White patients was 1.05 (CI 0.92 to 1.21). In contrast, the disease-free survival (DFS) HR and biochemical failure (BF) HR were both not significantly different neither between single and married patients nor between White patients and non-White patients. Median time to death for married men was 5.68 years and for single men was 4.73 years. Median time for DFS for married men was 7.25 years and for single men was 6.56 years. Median time for BF for married men was 7.81 years and for single men was 7.05 years. Conclusions Race was not associated with statistically significant differences in this analysis. Congruent with our previous work in other cancer sites, marital status predicted improved prostate cancer outcomes including overall survival. Implications for cancer survivors Prostate cancer is the most common visceral cancer in men in the USA. The stratification of prostate cancer risk is currently modeled solely on pathologic prognostic factors including PSA and Gleason Score. Independent of these pathologic prognostic factors, our paper describes the central sociodemographic factor of being single as a negative prognostic indicator. Single men are at high risk of poorer outcomes after prostate cancer treatment. Intriguingly, in our group of patients, race was not a significant prognostic factor. The findings in this paper add to the body of work that describes important sociodemographic prognostic factors that are currently underappreciated in patients with cancer. Future steps will include the validation of these findings in prospective studies, and the incorporation of clinical strategies that identify and compensate for sociodemographic factors that predict for poorer cancer outcomes. | ||
| 650 | 4 | |a Prostate cancer |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Outcomes |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Marital status |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Race |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a RTOG |7 (dpeaa)DE-He213 | |
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| 700 | 1 | |a Movsas, Benjamin |e verfasserin |4 aut | |
| 700 | 1 | |a Yan, Yan |e verfasserin |4 aut | |
| 700 | 1 | |a Bryan, Charlene |e verfasserin |4 aut | |
| 700 | 1 | |a Bruner, Deborah Watkins |e verfasserin |4 aut | |
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10.1007/s00520-011-1219-4 doi (DE-627)SPR006589324 (SPR)s00520-011-1219-4-e DE-627 ger DE-627 rakwb eng 610 ASE 44.81 bkl Du, Kevin Lee verfasserin aut Impact of marital status and race on outcomes of patients enrolled in Radiation Therapy Oncology Group prostate cancer trials 2011 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Introduction Previous studies by our group and others have demonstrated the importance of sociodemographic factors in cancer-related outcomes. The identification of these factors has led to novel approaches to the care of the high-risk cancer patient, specifically in the adoption of clinical interventions that convey similar benefits as favorable sociodemographic characteristics. This study examined the importance of marital status and race as prognostic indicators in men with prostate cancer. Methods This report is a meta-analysis of 3,570 patients with prostate cancer treated in three prospective RTOG clinical trials. The Kaplan–Meier method was used to estimate the survival rate and the cumulative incidence method was used to analyze biochemical failure rate. Hazard ratios were calculated for all covariates using either the Cox or Fine and Gray’s proportional hazards model or logistic regression model with associated 95% confidence intervals and p values. Results Hazard ratio (HR) for overall survival (OS) for single status compared to married status was 1.36 (95% CI, 1.2 to 1.53). OS HR for non-White compared to White patients was 1.05 (CI 0.92 to 1.21). In contrast, the disease-free survival (DFS) HR and biochemical failure (BF) HR were both not significantly different neither between single and married patients nor between White patients and non-White patients. Median time to death for married men was 5.68 years and for single men was 4.73 years. Median time for DFS for married men was 7.25 years and for single men was 6.56 years. Median time for BF for married men was 7.81 years and for single men was 7.05 years. Conclusions Race was not associated with statistically significant differences in this analysis. Congruent with our previous work in other cancer sites, marital status predicted improved prostate cancer outcomes including overall survival. Implications for cancer survivors Prostate cancer is the most common visceral cancer in men in the USA. The stratification of prostate cancer risk is currently modeled solely on pathologic prognostic factors including PSA and Gleason Score. Independent of these pathologic prognostic factors, our paper describes the central sociodemographic factor of being single as a negative prognostic indicator. Single men are at high risk of poorer outcomes after prostate cancer treatment. Intriguingly, in our group of patients, race was not a significant prognostic factor. The findings in this paper add to the body of work that describes important sociodemographic prognostic factors that are currently underappreciated in patients with cancer. Future steps will include the validation of these findings in prospective studies, and the incorporation of clinical strategies that identify and compensate for sociodemographic factors that predict for poorer cancer outcomes. Prostate cancer (dpeaa)DE-He213 Outcomes (dpeaa)DE-He213 Marital status (dpeaa)DE-He213 Race (dpeaa)DE-He213 RTOG (dpeaa)DE-He213 Bae, Kyounghwa verfasserin aut Movsas, Benjamin verfasserin aut Yan, Yan verfasserin aut Bryan, Charlene verfasserin aut Bruner, Deborah Watkins verfasserin aut Enthalten in Supportive care in cancer Berlin : Springer, 1993 20(2011), 6 vom: 01. Juli, Seite 1317-1325 (DE-627)254909574 (DE-600)1463166-0 1433-7339 nnns volume:20 year:2011 number:6 day:01 month:07 pages:1317-1325 https://dx.doi.org/10.1007/s00520-011-1219-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.81 ASE AR 20 2011 6 01 07 1317-1325 |
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10.1007/s00520-011-1219-4 doi (DE-627)SPR006589324 (SPR)s00520-011-1219-4-e DE-627 ger DE-627 rakwb eng 610 ASE 44.81 bkl Du, Kevin Lee verfasserin aut Impact of marital status and race on outcomes of patients enrolled in Radiation Therapy Oncology Group prostate cancer trials 2011 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Introduction Previous studies by our group and others have demonstrated the importance of sociodemographic factors in cancer-related outcomes. The identification of these factors has led to novel approaches to the care of the high-risk cancer patient, specifically in the adoption of clinical interventions that convey similar benefits as favorable sociodemographic characteristics. This study examined the importance of marital status and race as prognostic indicators in men with prostate cancer. Methods This report is a meta-analysis of 3,570 patients with prostate cancer treated in three prospective RTOG clinical trials. The Kaplan–Meier method was used to estimate the survival rate and the cumulative incidence method was used to analyze biochemical failure rate. Hazard ratios were calculated for all covariates using either the Cox or Fine and Gray’s proportional hazards model or logistic regression model with associated 95% confidence intervals and p values. Results Hazard ratio (HR) for overall survival (OS) for single status compared to married status was 1.36 (95% CI, 1.2 to 1.53). OS HR for non-White compared to White patients was 1.05 (CI 0.92 to 1.21). In contrast, the disease-free survival (DFS) HR and biochemical failure (BF) HR were both not significantly different neither between single and married patients nor between White patients and non-White patients. Median time to death for married men was 5.68 years and for single men was 4.73 years. Median time for DFS for married men was 7.25 years and for single men was 6.56 years. Median time for BF for married men was 7.81 years and for single men was 7.05 years. Conclusions Race was not associated with statistically significant differences in this analysis. Congruent with our previous work in other cancer sites, marital status predicted improved prostate cancer outcomes including overall survival. Implications for cancer survivors Prostate cancer is the most common visceral cancer in men in the USA. The stratification of prostate cancer risk is currently modeled solely on pathologic prognostic factors including PSA and Gleason Score. Independent of these pathologic prognostic factors, our paper describes the central sociodemographic factor of being single as a negative prognostic indicator. Single men are at high risk of poorer outcomes after prostate cancer treatment. Intriguingly, in our group of patients, race was not a significant prognostic factor. The findings in this paper add to the body of work that describes important sociodemographic prognostic factors that are currently underappreciated in patients with cancer. Future steps will include the validation of these findings in prospective studies, and the incorporation of clinical strategies that identify and compensate for sociodemographic factors that predict for poorer cancer outcomes. Prostate cancer (dpeaa)DE-He213 Outcomes (dpeaa)DE-He213 Marital status (dpeaa)DE-He213 Race (dpeaa)DE-He213 RTOG (dpeaa)DE-He213 Bae, Kyounghwa verfasserin aut Movsas, Benjamin verfasserin aut Yan, Yan verfasserin aut Bryan, Charlene verfasserin aut Bruner, Deborah Watkins verfasserin aut Enthalten in Supportive care in cancer Berlin : Springer, 1993 20(2011), 6 vom: 01. Juli, Seite 1317-1325 (DE-627)254909574 (DE-600)1463166-0 1433-7339 nnns volume:20 year:2011 number:6 day:01 month:07 pages:1317-1325 https://dx.doi.org/10.1007/s00520-011-1219-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.81 ASE AR 20 2011 6 01 07 1317-1325 |
| allfields_unstemmed |
10.1007/s00520-011-1219-4 doi (DE-627)SPR006589324 (SPR)s00520-011-1219-4-e DE-627 ger DE-627 rakwb eng 610 ASE 44.81 bkl Du, Kevin Lee verfasserin aut Impact of marital status and race on outcomes of patients enrolled in Radiation Therapy Oncology Group prostate cancer trials 2011 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Introduction Previous studies by our group and others have demonstrated the importance of sociodemographic factors in cancer-related outcomes. The identification of these factors has led to novel approaches to the care of the high-risk cancer patient, specifically in the adoption of clinical interventions that convey similar benefits as favorable sociodemographic characteristics. This study examined the importance of marital status and race as prognostic indicators in men with prostate cancer. Methods This report is a meta-analysis of 3,570 patients with prostate cancer treated in three prospective RTOG clinical trials. The Kaplan–Meier method was used to estimate the survival rate and the cumulative incidence method was used to analyze biochemical failure rate. Hazard ratios were calculated for all covariates using either the Cox or Fine and Gray’s proportional hazards model or logistic regression model with associated 95% confidence intervals and p values. Results Hazard ratio (HR) for overall survival (OS) for single status compared to married status was 1.36 (95% CI, 1.2 to 1.53). OS HR for non-White compared to White patients was 1.05 (CI 0.92 to 1.21). In contrast, the disease-free survival (DFS) HR and biochemical failure (BF) HR were both not significantly different neither between single and married patients nor between White patients and non-White patients. Median time to death for married men was 5.68 years and for single men was 4.73 years. Median time for DFS for married men was 7.25 years and for single men was 6.56 years. Median time for BF for married men was 7.81 years and for single men was 7.05 years. Conclusions Race was not associated with statistically significant differences in this analysis. Congruent with our previous work in other cancer sites, marital status predicted improved prostate cancer outcomes including overall survival. Implications for cancer survivors Prostate cancer is the most common visceral cancer in men in the USA. The stratification of prostate cancer risk is currently modeled solely on pathologic prognostic factors including PSA and Gleason Score. Independent of these pathologic prognostic factors, our paper describes the central sociodemographic factor of being single as a negative prognostic indicator. Single men are at high risk of poorer outcomes after prostate cancer treatment. Intriguingly, in our group of patients, race was not a significant prognostic factor. The findings in this paper add to the body of work that describes important sociodemographic prognostic factors that are currently underappreciated in patients with cancer. Future steps will include the validation of these findings in prospective studies, and the incorporation of clinical strategies that identify and compensate for sociodemographic factors that predict for poorer cancer outcomes. Prostate cancer (dpeaa)DE-He213 Outcomes (dpeaa)DE-He213 Marital status (dpeaa)DE-He213 Race (dpeaa)DE-He213 RTOG (dpeaa)DE-He213 Bae, Kyounghwa verfasserin aut Movsas, Benjamin verfasserin aut Yan, Yan verfasserin aut Bryan, Charlene verfasserin aut Bruner, Deborah Watkins verfasserin aut Enthalten in Supportive care in cancer Berlin : Springer, 1993 20(2011), 6 vom: 01. Juli, Seite 1317-1325 (DE-627)254909574 (DE-600)1463166-0 1433-7339 nnns volume:20 year:2011 number:6 day:01 month:07 pages:1317-1325 https://dx.doi.org/10.1007/s00520-011-1219-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.81 ASE AR 20 2011 6 01 07 1317-1325 |
| allfieldsGer |
10.1007/s00520-011-1219-4 doi (DE-627)SPR006589324 (SPR)s00520-011-1219-4-e DE-627 ger DE-627 rakwb eng 610 ASE 44.81 bkl Du, Kevin Lee verfasserin aut Impact of marital status and race on outcomes of patients enrolled in Radiation Therapy Oncology Group prostate cancer trials 2011 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Introduction Previous studies by our group and others have demonstrated the importance of sociodemographic factors in cancer-related outcomes. The identification of these factors has led to novel approaches to the care of the high-risk cancer patient, specifically in the adoption of clinical interventions that convey similar benefits as favorable sociodemographic characteristics. This study examined the importance of marital status and race as prognostic indicators in men with prostate cancer. Methods This report is a meta-analysis of 3,570 patients with prostate cancer treated in three prospective RTOG clinical trials. The Kaplan–Meier method was used to estimate the survival rate and the cumulative incidence method was used to analyze biochemical failure rate. Hazard ratios were calculated for all covariates using either the Cox or Fine and Gray’s proportional hazards model or logistic regression model with associated 95% confidence intervals and p values. Results Hazard ratio (HR) for overall survival (OS) for single status compared to married status was 1.36 (95% CI, 1.2 to 1.53). OS HR for non-White compared to White patients was 1.05 (CI 0.92 to 1.21). In contrast, the disease-free survival (DFS) HR and biochemical failure (BF) HR were both not significantly different neither between single and married patients nor between White patients and non-White patients. Median time to death for married men was 5.68 years and for single men was 4.73 years. Median time for DFS for married men was 7.25 years and for single men was 6.56 years. Median time for BF for married men was 7.81 years and for single men was 7.05 years. Conclusions Race was not associated with statistically significant differences in this analysis. Congruent with our previous work in other cancer sites, marital status predicted improved prostate cancer outcomes including overall survival. Implications for cancer survivors Prostate cancer is the most common visceral cancer in men in the USA. The stratification of prostate cancer risk is currently modeled solely on pathologic prognostic factors including PSA and Gleason Score. Independent of these pathologic prognostic factors, our paper describes the central sociodemographic factor of being single as a negative prognostic indicator. Single men are at high risk of poorer outcomes after prostate cancer treatment. Intriguingly, in our group of patients, race was not a significant prognostic factor. The findings in this paper add to the body of work that describes important sociodemographic prognostic factors that are currently underappreciated in patients with cancer. Future steps will include the validation of these findings in prospective studies, and the incorporation of clinical strategies that identify and compensate for sociodemographic factors that predict for poorer cancer outcomes. Prostate cancer (dpeaa)DE-He213 Outcomes (dpeaa)DE-He213 Marital status (dpeaa)DE-He213 Race (dpeaa)DE-He213 RTOG (dpeaa)DE-He213 Bae, Kyounghwa verfasserin aut Movsas, Benjamin verfasserin aut Yan, Yan verfasserin aut Bryan, Charlene verfasserin aut Bruner, Deborah Watkins verfasserin aut Enthalten in Supportive care in cancer Berlin : Springer, 1993 20(2011), 6 vom: 01. Juli, Seite 1317-1325 (DE-627)254909574 (DE-600)1463166-0 1433-7339 nnns volume:20 year:2011 number:6 day:01 month:07 pages:1317-1325 https://dx.doi.org/10.1007/s00520-011-1219-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.81 ASE AR 20 2011 6 01 07 1317-1325 |
| allfieldsSound |
10.1007/s00520-011-1219-4 doi (DE-627)SPR006589324 (SPR)s00520-011-1219-4-e DE-627 ger DE-627 rakwb eng 610 ASE 44.81 bkl Du, Kevin Lee verfasserin aut Impact of marital status and race on outcomes of patients enrolled in Radiation Therapy Oncology Group prostate cancer trials 2011 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Introduction Previous studies by our group and others have demonstrated the importance of sociodemographic factors in cancer-related outcomes. The identification of these factors has led to novel approaches to the care of the high-risk cancer patient, specifically in the adoption of clinical interventions that convey similar benefits as favorable sociodemographic characteristics. This study examined the importance of marital status and race as prognostic indicators in men with prostate cancer. Methods This report is a meta-analysis of 3,570 patients with prostate cancer treated in three prospective RTOG clinical trials. The Kaplan–Meier method was used to estimate the survival rate and the cumulative incidence method was used to analyze biochemical failure rate. Hazard ratios were calculated for all covariates using either the Cox or Fine and Gray’s proportional hazards model or logistic regression model with associated 95% confidence intervals and p values. Results Hazard ratio (HR) for overall survival (OS) for single status compared to married status was 1.36 (95% CI, 1.2 to 1.53). OS HR for non-White compared to White patients was 1.05 (CI 0.92 to 1.21). In contrast, the disease-free survival (DFS) HR and biochemical failure (BF) HR were both not significantly different neither between single and married patients nor between White patients and non-White patients. Median time to death for married men was 5.68 years and for single men was 4.73 years. Median time for DFS for married men was 7.25 years and for single men was 6.56 years. Median time for BF for married men was 7.81 years and for single men was 7.05 years. Conclusions Race was not associated with statistically significant differences in this analysis. Congruent with our previous work in other cancer sites, marital status predicted improved prostate cancer outcomes including overall survival. Implications for cancer survivors Prostate cancer is the most common visceral cancer in men in the USA. The stratification of prostate cancer risk is currently modeled solely on pathologic prognostic factors including PSA and Gleason Score. Independent of these pathologic prognostic factors, our paper describes the central sociodemographic factor of being single as a negative prognostic indicator. Single men are at high risk of poorer outcomes after prostate cancer treatment. Intriguingly, in our group of patients, race was not a significant prognostic factor. The findings in this paper add to the body of work that describes important sociodemographic prognostic factors that are currently underappreciated in patients with cancer. Future steps will include the validation of these findings in prospective studies, and the incorporation of clinical strategies that identify and compensate for sociodemographic factors that predict for poorer cancer outcomes. Prostate cancer (dpeaa)DE-He213 Outcomes (dpeaa)DE-He213 Marital status (dpeaa)DE-He213 Race (dpeaa)DE-He213 RTOG (dpeaa)DE-He213 Bae, Kyounghwa verfasserin aut Movsas, Benjamin verfasserin aut Yan, Yan verfasserin aut Bryan, Charlene verfasserin aut Bruner, Deborah Watkins verfasserin aut Enthalten in Supportive care in cancer Berlin : Springer, 1993 20(2011), 6 vom: 01. Juli, Seite 1317-1325 (DE-627)254909574 (DE-600)1463166-0 1433-7339 nnns volume:20 year:2011 number:6 day:01 month:07 pages:1317-1325 https://dx.doi.org/10.1007/s00520-011-1219-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.81 ASE AR 20 2011 6 01 07 1317-1325 |
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Enthalten in Supportive care in cancer 20(2011), 6 vom: 01. Juli, Seite 1317-1325 volume:20 year:2011 number:6 day:01 month:07 pages:1317-1325 |
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The identification of these factors has led to novel approaches to the care of the high-risk cancer patient, specifically in the adoption of clinical interventions that convey similar benefits as favorable sociodemographic characteristics. This study examined the importance of marital status and race as prognostic indicators in men with prostate cancer. Methods This report is a meta-analysis of 3,570 patients with prostate cancer treated in three prospective RTOG clinical trials. The Kaplan–Meier method was used to estimate the survival rate and the cumulative incidence method was used to analyze biochemical failure rate. Hazard ratios were calculated for all covariates using either the Cox or Fine and Gray’s proportional hazards model or logistic regression model with associated 95% confidence intervals and p values. Results Hazard ratio (HR) for overall survival (OS) for single status compared to married status was 1.36 (95% CI, 1.2 to 1.53). OS HR for non-White compared to White patients was 1.05 (CI 0.92 to 1.21). In contrast, the disease-free survival (DFS) HR and biochemical failure (BF) HR were both not significantly different neither between single and married patients nor between White patients and non-White patients. Median time to death for married men was 5.68 years and for single men was 4.73 years. Median time for DFS for married men was 7.25 years and for single men was 6.56 years. Median time for BF for married men was 7.81 years and for single men was 7.05 years. Conclusions Race was not associated with statistically significant differences in this analysis. Congruent with our previous work in other cancer sites, marital status predicted improved prostate cancer outcomes including overall survival. Implications for cancer survivors Prostate cancer is the most common visceral cancer in men in the USA. The stratification of prostate cancer risk is currently modeled solely on pathologic prognostic factors including PSA and Gleason Score. Independent of these pathologic prognostic factors, our paper describes the central sociodemographic factor of being single as a negative prognostic indicator. Single men are at high risk of poorer outcomes after prostate cancer treatment. Intriguingly, in our group of patients, race was not a significant prognostic factor. The findings in this paper add to the body of work that describes important sociodemographic prognostic factors that are currently underappreciated in patients with cancer. 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Du, Kevin Lee Bae, Kyounghwa Movsas, Benjamin Yan, Yan Bryan, Charlene Bruner, Deborah Watkins |
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impact of marital status and race on outcomes of patients enrolled in radiation therapy oncology group prostate cancer trials |
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Impact of marital status and race on outcomes of patients enrolled in Radiation Therapy Oncology Group prostate cancer trials |
| abstract |
Introduction Previous studies by our group and others have demonstrated the importance of sociodemographic factors in cancer-related outcomes. The identification of these factors has led to novel approaches to the care of the high-risk cancer patient, specifically in the adoption of clinical interventions that convey similar benefits as favorable sociodemographic characteristics. This study examined the importance of marital status and race as prognostic indicators in men with prostate cancer. Methods This report is a meta-analysis of 3,570 patients with prostate cancer treated in three prospective RTOG clinical trials. The Kaplan–Meier method was used to estimate the survival rate and the cumulative incidence method was used to analyze biochemical failure rate. Hazard ratios were calculated for all covariates using either the Cox or Fine and Gray’s proportional hazards model or logistic regression model with associated 95% confidence intervals and p values. Results Hazard ratio (HR) for overall survival (OS) for single status compared to married status was 1.36 (95% CI, 1.2 to 1.53). OS HR for non-White compared to White patients was 1.05 (CI 0.92 to 1.21). In contrast, the disease-free survival (DFS) HR and biochemical failure (BF) HR were both not significantly different neither between single and married patients nor between White patients and non-White patients. Median time to death for married men was 5.68 years and for single men was 4.73 years. Median time for DFS for married men was 7.25 years and for single men was 6.56 years. Median time for BF for married men was 7.81 years and for single men was 7.05 years. Conclusions Race was not associated with statistically significant differences in this analysis. Congruent with our previous work in other cancer sites, marital status predicted improved prostate cancer outcomes including overall survival. Implications for cancer survivors Prostate cancer is the most common visceral cancer in men in the USA. The stratification of prostate cancer risk is currently modeled solely on pathologic prognostic factors including PSA and Gleason Score. Independent of these pathologic prognostic factors, our paper describes the central sociodemographic factor of being single as a negative prognostic indicator. Single men are at high risk of poorer outcomes after prostate cancer treatment. Intriguingly, in our group of patients, race was not a significant prognostic factor. The findings in this paper add to the body of work that describes important sociodemographic prognostic factors that are currently underappreciated in patients with cancer. Future steps will include the validation of these findings in prospective studies, and the incorporation of clinical strategies that identify and compensate for sociodemographic factors that predict for poorer cancer outcomes. |
| abstractGer |
Introduction Previous studies by our group and others have demonstrated the importance of sociodemographic factors in cancer-related outcomes. The identification of these factors has led to novel approaches to the care of the high-risk cancer patient, specifically in the adoption of clinical interventions that convey similar benefits as favorable sociodemographic characteristics. This study examined the importance of marital status and race as prognostic indicators in men with prostate cancer. Methods This report is a meta-analysis of 3,570 patients with prostate cancer treated in three prospective RTOG clinical trials. The Kaplan–Meier method was used to estimate the survival rate and the cumulative incidence method was used to analyze biochemical failure rate. Hazard ratios were calculated for all covariates using either the Cox or Fine and Gray’s proportional hazards model or logistic regression model with associated 95% confidence intervals and p values. Results Hazard ratio (HR) for overall survival (OS) for single status compared to married status was 1.36 (95% CI, 1.2 to 1.53). OS HR for non-White compared to White patients was 1.05 (CI 0.92 to 1.21). In contrast, the disease-free survival (DFS) HR and biochemical failure (BF) HR were both not significantly different neither between single and married patients nor between White patients and non-White patients. Median time to death for married men was 5.68 years and for single men was 4.73 years. Median time for DFS for married men was 7.25 years and for single men was 6.56 years. Median time for BF for married men was 7.81 years and for single men was 7.05 years. Conclusions Race was not associated with statistically significant differences in this analysis. Congruent with our previous work in other cancer sites, marital status predicted improved prostate cancer outcomes including overall survival. Implications for cancer survivors Prostate cancer is the most common visceral cancer in men in the USA. The stratification of prostate cancer risk is currently modeled solely on pathologic prognostic factors including PSA and Gleason Score. Independent of these pathologic prognostic factors, our paper describes the central sociodemographic factor of being single as a negative prognostic indicator. Single men are at high risk of poorer outcomes after prostate cancer treatment. Intriguingly, in our group of patients, race was not a significant prognostic factor. The findings in this paper add to the body of work that describes important sociodemographic prognostic factors that are currently underappreciated in patients with cancer. Future steps will include the validation of these findings in prospective studies, and the incorporation of clinical strategies that identify and compensate for sociodemographic factors that predict for poorer cancer outcomes. |
| abstract_unstemmed |
Introduction Previous studies by our group and others have demonstrated the importance of sociodemographic factors in cancer-related outcomes. The identification of these factors has led to novel approaches to the care of the high-risk cancer patient, specifically in the adoption of clinical interventions that convey similar benefits as favorable sociodemographic characteristics. This study examined the importance of marital status and race as prognostic indicators in men with prostate cancer. Methods This report is a meta-analysis of 3,570 patients with prostate cancer treated in three prospective RTOG clinical trials. The Kaplan–Meier method was used to estimate the survival rate and the cumulative incidence method was used to analyze biochemical failure rate. Hazard ratios were calculated for all covariates using either the Cox or Fine and Gray’s proportional hazards model or logistic regression model with associated 95% confidence intervals and p values. Results Hazard ratio (HR) for overall survival (OS) for single status compared to married status was 1.36 (95% CI, 1.2 to 1.53). OS HR for non-White compared to White patients was 1.05 (CI 0.92 to 1.21). In contrast, the disease-free survival (DFS) HR and biochemical failure (BF) HR were both not significantly different neither between single and married patients nor between White patients and non-White patients. Median time to death for married men was 5.68 years and for single men was 4.73 years. Median time for DFS for married men was 7.25 years and for single men was 6.56 years. Median time for BF for married men was 7.81 years and for single men was 7.05 years. Conclusions Race was not associated with statistically significant differences in this analysis. Congruent with our previous work in other cancer sites, marital status predicted improved prostate cancer outcomes including overall survival. Implications for cancer survivors Prostate cancer is the most common visceral cancer in men in the USA. The stratification of prostate cancer risk is currently modeled solely on pathologic prognostic factors including PSA and Gleason Score. Independent of these pathologic prognostic factors, our paper describes the central sociodemographic factor of being single as a negative prognostic indicator. Single men are at high risk of poorer outcomes after prostate cancer treatment. Intriguingly, in our group of patients, race was not a significant prognostic factor. The findings in this paper add to the body of work that describes important sociodemographic prognostic factors that are currently underappreciated in patients with cancer. Future steps will include the validation of these findings in prospective studies, and the incorporation of clinical strategies that identify and compensate for sociodemographic factors that predict for poorer cancer outcomes. |
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|
| score |
7.40102 |