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European Journal of Medical Research logoLink to European Journal of Medical Research
. 2022 Nov 4;27:230. doi: 10.1186/s40001-022-00873-y

Causes of death in female patients with bladder cancer after local tumor excision and radical cystectomy: a contemporary, US population-based analysis

Qian Lyu 1, Yu Nie 1, Jiazheng Yuan 1, Dong Wang 1,
PMCID: PMC9635151  PMID: 36329537

Abstract

Surgery is one of the most important treatments for bladder cancer, including local tumor excision and radical cystectomy. At present, studies on the causes of death for contemporary survivors, especially women, who have received different surgical treatments are limited. Therefore, the study used a population-based cohort study in the United States from 2000 to 2017 to analyze causes of death for women who underwent local tumor excision or radical cystectomy stratified by demographics and tumor stage. standardized mortality ratios (SMRs) were calculated based on general population data. In total, 24,040 female patients who underwent surgical treatments were assessed. Of those 20,780 patients undergoing local tumor excision, 36.6% died of bladder cancer, while 63.4% died of other causes. The risk of death from all causes increased in comparation with the general population (SMR 1.85; 95% CI 1.82–1.87), and the most common non-tumor cause of death was from heart diseases (16.2%; SMR 1.13; 95% CI 1.09–1.16). Among women who receive radical cystectomy, 82.3% of deaths occurred within 5 years after surgery. 66.9% deaths resulted from bladder cancer, and the risk of death from all causes significantly higher than that in the general people (SMR 4.67; 95% CI 4.51–4.84). Moreover, the risk of death from non- bladder cancer causes also increased, in particular, such as septicemia (SMR 3.09; 95% CI 2.13–4.34). Causes of death during bladder cancer survivorship after surgery vary by patient and tumor characteristics, and these data provide information regarding primary care for women during postoperative cancer survivorship.

Keywords: Bladder cancer, Women, Population-based, Local tumor excision, Radical cystectomy, Prognosis

Introduction

Bladder cancer is one of the most common malignant tumors and the incidence increases steadily worldwide. More than 500,000 new cases have been confirmed, which accounts for about 3% of all new cancer diagnoses each year, and 200,000 deaths worldwide [1]. Previous study has suggested a positive association between the bladder cancer incidence and human development index and gross domestic product [2]. Metabolic syndrome (MS), a non-negligible public health problem, is characterized by lipid disorders, abnormal glucose tolerance, high blood pressure, and a high mortality rate. The disorder has been reported to be associated with the development and the risk of death of bladder cancer. A retrospective study [3] that involved 169 patients suggested that patients with MS had a higher histological grade of bladder cancer, as well as the low high-density lipoprotein levels. The high body mass index (BMI) has also been considered to be associated with the risk of bladder cancer [4]. In the American population, more than 80,000 new cases are diagnosed each year, representing 4.6% of all cancer diagnoses, which is greater than global average. Statistics showed that about 17,900 US patients died of bladder cancer in 2019 [5]. Across the world, the number of men diagnosed with bladder cancer is about four times that of women, and the mortality rate is similar [6]. However, studies have shown that for patients with the same stage of bladder cancer, the prognosis of women is worse than that of men [7]. The occurrence of bladder cancer is a complex, multifactorial and multi-step pathological process, which is affected by both internal genetic factors and external environmental factors. Hence, bladder cancer contains of various pathological types and complex treatment modalities. However, for the majority of patients, surgery is still the main means of treatment, including transurethral resection of bladder tumor, partial cystectomy and radical cystectomy etc. [8]. Different surgical methods should be rigorously determined according to the pathological results and the grading and staging of the disease, because of significant differences of the quality of life and prognosis of patients. Hence, understanding the actual causes of death in contemporary bladder cancer cases undergoing different surgical methods can help with a more rigorous surgical plan and proper health care during survivorship.

Several previous studies have illustrated the causes of bladder cancer-specific mortality [911], however, the information about causes of death in patients with bladder cancer after local tumor excision and radical cystectomy are limited. Simultaneously, most studies concentrate on patients of all genders, and few studies pay attention to specific gender, especially female patients. Factors such as hormone level, lifestyle, occupational exposure vary widely in male and female population, which may result in differences on causes of death. Hence, understanding the information could guiding the long-term follow-up and therapeutic strategies, and we evaluated contemporary, female population-based data for causes of death during bladder cancer after local tumor excision or radical cystectomy survivorship in the United States using SEER database.

Materials and methods

Data source

The data were acquired from Surveillance, Epidemiology, and End Results (SEER) program which is conducted by National Cancer Institute covering approximately 48% of the US population, and the database SEER 18 registries were accessed from 2000 to 2017 using the SEER ∗ Stat software 8.3.8. The data used are publicly available and our study did not require a declaration or approval of local ethics.

Study population

We included all female patients with a diagnosis of bladder cancer between January 1, 2000, and December 31, 2017 in US, and only first malignant neoplasm was selected. Simultaneously, we excluded data without surgical treatment. We also exclude patients diagnosed only through death certificate and autopsy, patients with unknown follow-up time, survival status, and reasons of death, and patients without general information including age and race.

SMR

The number of deaths in different variables was measured for patients with bladder cancer from the SEER database. Patients were mainly assessed by different surgical methods including local tumor excision and radical cystectomy, and then, stratified by age, year of diagnosis, race, tumor differentiation, and pathological type. All causes of deaths were considered in our study, we divided the causes into malignant cancer group, non-tumor group. Under diseases of the malignant cancer, we included the most common malignant diseases of digestive system, respiratory system, female genital system, urinary system, and lymphatic system. In the non-tumor group, simultaneously, we included virus systematic disorders, such as septicemia, other Infectious and Parasitic Diseases including HIV, diabetes mellitus, Alzheimer’s, diseases of heart, hypertension without heart disease, cerebrovascular diseases, other diseases of arteries, arterioles, capillaries, pneumonia and Influenza, and chronic obstructive pulmonary disease and allied cond. We counted the numbers of deaths in different subgroups at each follow-up stage, and calculated SMR, the ratio of observed-to-expected, with 95% confidence intervals for each cause of death after bladder cancer diagnosis undergoing different surgical treatments. From 2000 to 2016, female patients diagnosed with bladder cancer and underwent surgical treatment constituted the observed population, while the expected population consisted of the general population who were diagnosed between 1975 and 2016, and the data were collected from the SEER database.

Statistical analysis

We calculated SMRs with 95% confidence intervals using the SEER ∗ Stat software 8.3.8 (https://seer.cancer.gov/seerstat/software/). The higher number of deaths with bladder cancer than the expected number in the general population was regarded as a significantly increased risk. p-value < 0.05 was considered to be statistically significant.

Results

Baseline characteristics

24,040 female patients with bladder cancer undergoing surgical treatments were collected in our study, in which 20,780 patients received local tumor excision, and 3260 underwent radical cystectomy. Table 1 details the number and SMR with 95% CI of patients by age, year of diagnosis, race, tumor differentiation, pathological type and time period for all deaths by each grouping. The total excess risk of local tumor excision group was 353.65 per 10,000, while 1137.11 in the radical cystectomy group.

Table 1.

Baseline characteristics of patients with bladder cancer after local tumor excision and radical cystectomy

Variables Total 2–11 months 12–59 months 60–119 months 120 + months
Observed Persons Excess Risk SMR (95%CI) Observed Persons Excess Risk SMR (95%CI) Observed Persons Excess Risk SMR (95%CI) Observed Persons Excess Risk SMR (95%CI) Observed Persons Excess Risk SMR (95%CI)
Local tumor excision
 All 20,780 45,655 353.65 1.85# (1.82–1.87) 5453 45,655 1211.82 4.18# (4.07–4.29) 8096 38,024 302.9 1.77# (1.73–1.81) 4694 22,279 152.66 1.35# (1.31–1.39) 2537 10,519 162.7 1.34# (1.28–1.39)
 Age, year
  15–54 years 782 4997 133.31 3.85# (3.58–4.13) 226 4997 543.03 19.94# (17.42–22.71) 291 4557 150.26 5.33# (4.74–5.98) 153 3409 61.87 2.29# (1.95–2.69) 112 2177 42.33 1.59# (1.31–1.91)
  55–64 years 1987 8405 198.84 2.66# (2.54–2.77) 450 8405 609.53 9.25# (8.42–10.15) 703 7531 193.42 3.17# (2.94–3.41) 489 5131 124.06 1.99# (1.82–2.17) 345 2800 100.67 1.49# (1.34–1.65)
  65–74 years 4684 12,338 289.68 1.95# (1.89–2) 971 12,338 849.05 5.88# (5.52–6.26) 1663 10,713 279.28 2.30# (2.19–2.42) 1142 6583 157.82 1.49# (1.41–1.58) 908 3185 133.06 1.20# (1.13–1.29)
  75–84 years 8018 13,035 427.11 1.53# (1.49–1.56) 1927 13,035 1524.27 4.15# (3.96–4.33) 3088 10,553 317.92 1.47# (1.42–1.52) 2042 5620 74.6 1.07# (1.03–1.12) 961 2045 309.55 1.24# (1.16–1.32)
  85 + years 5306 6860 1332.18 2.00# (1.95–2.06) 1878 6860 2752.94 3.05# (2.91–3.19) 2349 4652 797.49 1.60# (1.53–1.66) 868 1521 977.88 1.75# (1.63–1.87) 211 303 2704.32 3.13# (2.72–3.58)
 Year of diagnosis
  2000–2007 11,960 19,150 288.4 1.67# (1.64–1.7) 2326 19,150 1181.94 3.98# (3.82–4.14) 3982 16,785 291.86 1.73# (1.68–1.78) 3163 12,715 135.85 1.31# (1.26–1.35) 2489 9398 158.96 1.33# (1.28–1.38)
  2008–2012 5426 12,194 367.15 1.92# (1.87–1.97) 1453 12,194 1176.14 4.16# (3.95–4.38) 2444 10,688 277.41 1.72# (1.65–1.79) 1481 8090 186.85 1.43# (1.36–1.51) 48 1121 428.7 1.94# (1.43–2.57)
  2013–2017 3233 12,273 628.45 2.66# (2.56–2.75) 1513 12,273 1253.43 4.41# (4.19–4.63) 1670 10,551 374.34 1.98# (1.88–2.07) 50 1474 298.36 1.73# (1.28–2.28) 0 0 0 0 (0–0)
 Race
  White 18,245 40,410 325.72 1.77# (1.74–1.8) 4637 40,410 1138.43 3.95# (3.83–4.06) 7046 33,881 275.42 1.69# (1.65–1.73) 4230 20,212 141.37 1.32# (1.28–1.36) 2332 9648 156.81 1.32# (1.27–1.37)
  Black 1810 3254 792.24 2.83# (2.7–2.96) 624 3254 2298.18 6.68# (6.17–7.23) 746 2481 683.25 2.65# (2.46–2.85) 318 1193 343.03 1.74# (1.56–1.95) 122 476 233.05 1.49# (1.24–1.78)
  American Indian/Alaska Native 48 107 710.02 4.71# (3.47–6.25) 14 107 1601.65 9.70# (5.3–16.28) 25 86 954.66 6.74# (4.36–9.94) 2 41 − 82.54 0.61 (0.07–2.22) 7 24 661.59 3.94# (1.58–8.12)
  Asian or Pacific Islander 677 1884 367.07 2.26# (2.1–2.44) 178 1884 995.92 4.89# (4.2–5.67) 279 1576 335.5 2.24# (1.98–2.51) 144 833 187.63 1.61# (1.36–1.9) 76 371 200.85 1.56# (1.23–1.95)
 Differentiation
  Well-differentiated 2425 6461 75.08 1.20# (1.15–1.25) 214 6461 91.32 1.29# (1.12–1.47) 864 6205 54.71 1.16# (1.08–1.24) 801 4596 74.27 1.19# (1.11–1.27) 546 2446 113.63 1.25# (1.15–1.36)
  Moderately differentiated 5288 13,730 117.98 1.30# (1.26–1.33) 639 13,730 248.61 1.76# (1.62–1.9) 1850 13,009 81.56 1.23# (1.17–1.28) 1695 8245 105.66 1.25# (1.19–1.31) 1104 4617 144.5 1.31# (1.23–1.38)
  Poorly differentiated 4902 7218 789.82 2.60# (2.53–2.68) 1693 7218 2836.00 6.96# (6.63–7.3) 1882 5479 691.45 2.46# (2.35–2.57) 878 3119 285.37 1.57# (1.47–1.67) 449 1537 229.89 1.42# (1.29–1.56)
  Undifferentiated 5682 10,018 1,003.81 3.04# (2.96–3.12) 2216 10,018 2634.29 6.64# (6.36–6.92) 2465 7717 824.37 2.74# (2.63–2.85) 745 2857 307.42 1.59# (1.48–1.71) 256 1007 313.72 1.54# (1.35–1.74)
  Unknown 2322 6190 263.09 1.69# (1.62–1.75) 530 6190 740.43 3.11# (2.85–3.39) 1035 5614 216.31 1.59# (1.5–1.69) 575 3462 149.68 1.36# (1.25–1.48) 182 912 154.56 1.35# (1.16–1.56)
 Pathological type
  8130/3: papillary transitional cell carcinoma 13,058 34,058 171.44 1.42# (1.39–1.44) 1888 34,058 346.59 1.96# (1.87–2.05) 5254 30,448 161.19 1.42# (1.38–1.46) 3774 18,797 127.75 1.30# (1.26–1.34) 2142 9041 149.73 1.31# (1.25–1.36)
  8120/3: transitional cell carcinoma, NOS 6089 9282 1190.93 3.51# (3.42–3.6) 2660 9282 3861.82 9.18# (8.84–9.54) 2328 6243 960.35 3.12# (2.99–3.25) 775 2870 301.13 1.60# (1.49–1.72) 326 1183 257.41 1.51# (1.35–1.68)
  8070/3: squamous cell carcinoma, NOS 421 475 5377.79 13.35# (12.11–14.69) 296 475 13,208.44 27.42# (24.38–30.72) 100 168 2778.97 7.56# (6.16–9.2) 21 47 1160.00 4.02# (2.49–6.15) 4 14 284.77 1.75 (0.48–4.47)
  8010/3: carcinoma, NOS 166 262 959.88 3.13# (2.68–3.65) 78 262 4175.02 10.86# (8.58–13.55) 55 172 700.93 2.73# (2.05–3.55) 23 96 128.36 1.26 (0.8–1.88) 10 42 184.47 1.37 (0.66–2.52)
  8140/3: adenocarcinoma, NOS 162 250 1436.30 6.02# (5.13–7.02) 65 250 3645.14 12.89# (9.95–16.43) 74 172 1493.70 6.89# (5.41–8.65) 15 73 321.54 2.07# (1.16–3.41) 8 27 369.81 2.07 (0.89–4.08)
  8041/3: small cell carcinoma, NOS 124 169 2688.94 6.60# (5.49–7.87) 74 169 7167.67 16.55# (12.99–20.77) 40 84 1758.03 4.96# (3.55–6.76) 7 29 236.32 1.44 (0.58–2.97) 3 8 738.72 2.14 (0.44–6.26)
  8071/3: squamous cell carcinoma, keratinizing, NOS 117 129 6735.71 15.67# (12.96–18.78) 94 129 17,566.75 35.52# (28.71–43.47) 16 33 2062.71 5.26# (3–8.53) 6 12 1339.84 3.91# (1.44–8.52) 1 4 523 4.1 (0.1–22.87)
  8050/3: papillary carcinoma, NOS 106 214 196.02 1.48# (1.21–1.79) 20 214 818.66 3.23# (1.97–4.99) 36 194 192.87 1.53# (1.07–2.11) 26 133 59.45 1.14 (0.75–1.68) 24 94 125.65 1.26 (0.81–1.88)
Radical cystectomy
 All 3260 5385 1137.11 4.68# (4.52–4.84) 1155 5385 2778.17 13.07# (12.32–13.84) 1526 3957 1259.28 5.68# (5.4–5.97) 376 1730 264.95 1.73# (1.56–1.91) 203 773 294.24 1.65# (1.43–1.9)
 Age, year
  15–54 years 375 766 854.88 19.11# (17.22–21.15) 125 766 2152.25 71.35# (59.39–85.01) 201 605 1190.37 33.69# (29.19–38.68) 34 305 231.88 5.55# (3.85–7.76) 15 179 123.95 2.59# (1.45–4.28)
  55–64 years 669 1281 1009.47 9.93# (9.19–10.71) 216 1,281 2232.86 30.79# (26.82–35.18) 352 994 1,282.28 15.40# (13.84–17.1) 66 457 271.16 3.14# (2.43–3.99) 35 226 232.02 2.12# (1.48–2.95)
  65–74 years 1089 1801 1215.39 5.24# (4.93–5.56) 372 1,801 2695.54 16.37# (14.75–18.12) 523 1,328 1391.19 7.56# (6.93–8.24) 116 549 306.46 1.95# (1.61–2.34) 78 237 253.67 1.38# (1.09–1.72)
  75–84 years 965 1337 1337.07 2.84# (2.67–3.03) 365 1337 3544.89 8.90# (8.01–9.87) 389 913 1100.31 2.80# (2.52–3.09) 144 384 221.93 1.22# (1.03–1.44) 67 121 807.78 1.62# (1.25–2.05)
85 + years 160 196 2044.26 2.54# (2.16–2.97) 77 196 5197.02 4.84# (3.82–6.05) 59 113 1152.30 1.86# (1.42–2.4) 16 34 315.24 1.24 (0.71–2.02) 8 9 2,665.53 3.16# (1.36–6.22)
 Year of diagnosis
  2000–2007 1758 2275 983.27 3.85# (3.67–4.03) 543 2275 3056.31 13.24# (12.15–14.4) 748 1727 1261.04 5.34# (4.97–5.74) 266 965 272.26 1.72# (1.52–1.94) 201 685 297.14 1.66# (1.44–1.9)
  2008–2012 887 1434 1200.85 5.41# (5.06–5.77) 328 1434 2905.97 14.02# (12.54–15.62) 453 1098 1211.21 5.75# (5.23–6.31) 104 627 237.05 1.72# (1.41–2.08) 2 88 121.81 1.38 (0.17–4.98)
  2013–2017 596 1424 1631.79 8.00# (7.37–8.67) 265 1424 2293.54 11.84# (10.46–13.36) 325 1132 1326.86 6.50# (5.81–7.24) 6 138 591.62 2.82# (1.04–6.14) 0 0 0 0 (0–0)
 Race
  White 2750 4541 1108.75 4.43# (4.26–4.6) 956 4541 2707.18 12.37# (11.6–13.18) 1282 3361 1222.55 5.37# (5.08–5.68) 330 1481 261.54 1.68# (1.51–1.88) 182 658 316.37 1.66# (1.43–1.92)
  Black 365 557 1464.79 6.39# (5.75–7.08) 139 557 3365.11 16.23# (13.64–19.16) 178 389 1724.63 7.96# (6.83–9.22) 33 155 331.37 2.14# (1.48–3.01) 15 71 150.01 1.39 (0.78–2.29)
  American Indian/Alaska Native 11 21 1554.96 19.42# (9.69–34.74) 7 21 4314.66 41.26# (16.59–85.01) 3 14 718.68 10.48# (2.16–30.62) 0 5 -81.03 0 (0–34.78) 1 1 23,765.73 224.52# (5.68–1250.94)
  Asian or Pacific Islander 134 266 989.52 7.26# (6.08–8.59) 53 266 2665.39 22.47# (16.83–29.4) 63 193 1089.87 8.24# (6.33–10.54) 13 89 223.1 2.20# (1.17–3.76) 5 43 160.87 1.95 (0.63–4.56)
 Differentiation
  Well-differentiated 39 58 930.35 4.13# (2.94–5.65) 12 58 2578.68 13.20# (6.82–23.06) 15 46 822.44 4.16# (2.33–6.86) 11 27 786.27 3.21# (1.6–5.75) 1 9 -125.31 0.67 (0.02–3.72)
  Moderately differentiated 245 382 1095.85 5.31# (4.67–6.02) 87 382 2963.45 16.48# (13.2–20.32) 111 294 1183.86 6.34# (5.21–7.63) 33 145 375.09 2.34# (1.61–3.28) 14 74 194.28 1.52 (0.83–2.55)
  Poorly differentiated 1245 1731 1235.17 4.81# (4.55–5.09) 445 1731 3367.21 15.09# (13.72–16.55) 565 1275 1446.01 6.14# (5.64–6.67) 143 607 275.36 1.75# (1.48–2.06) 92 318 291.88 1.66# (1.34–2.04)
  Undifferentiated 1560 2692 1088.28 4.41# (4.2–4.64) 540 2692 2467.14 11.41# (10.47–12.41) 764 2126 1192.41 5.34# (4.97–5.74) 172 851 220.4 1.57# (1.34–1.82) 84 329 289.44 1.58# (1.26–1.95)
  Unknown 152 270 998.55 5.41# (4.59–6.34) 52 270 2425.40 13.81# (10.32–18.11) 71 216 1012.22 5.61# (4.38–7.08) 17 100 255.57 2.03# (1.18–3.24) 12 43 677.04 3.67# (1.89–6.4)
 Pathological type
  8120/3: transitional cell carcinoma, NOS 1813 2906 1222.50 4.74# (4.52–4.96) 637 2906 2846.27 12.88# (11.9–13.92) 873 2127 1393.34 5.95# (5.56–6.35) 195 885 249.03 1.64# (1.42–1.89) 108 398 296.68 1.60# (1.32–1.94)
  8130/3: papillary transitional cell carcinoma 767 1449 780.42 3.45# (3.21–3.7) 212 1449 1732.85 8.33# (7.24–9.53) 369 1154 905.2 4.27# (3.84–4.73) 122 561 268.95 1.73# (1.44–2.06) 64 246 277.35 1.60# (1.23–2.05)
  8070/3: squamous cell carcinoma, NOS 219 324 1475.83 6.59# (5.75–7.53) 116 324 5319.09 27.88# (23.04–33.44) 74 200 1186.43 5.96# (4.68–7.48) 17 98 182.44 1.59 (0.93–2.55) 12 45 330.84 2.01# (1.04–3.51)
  8071/3: squamous cell carcinoma, keratinizing, NOS 73 118 1335.20 5.66# (4.44–7.12) 42 118 5275.67 24.35# (17.55–32.91) 22 72 869.1 4.19# (2.63–6.35) 5 37 119.05 1.41 (0.46–3.29) 4 14 274.06 1.68 (0.46–4.31)
  8122/3: transitional cell carcinoma, spindle cell 68 104 2379.77 10.05# (7.8–12.74) 43 104 6400.21 32.04# (23.19–43.16) 19 53 1383.53 6.48# (3.9–10.12) 5 19 464.74 2.5 (0.81–5.84) 1 6 440.6 2.02 (0.05–11.27)
  8140/3: Adenocarcinoma, NOS 61 89 1301.96 7.40# (5.66–9.5) 17 89 2396.29 15.22# (8.87–24.37) 30 65 1526.49 10.34# (6.98–14.76) 8 29 543.81 3.72# (1.61–7.34) 6 16 728.82 2.88# (1.06–6.27)

SMR standardized mortality ratio, CI confidence interval, NOS not otherwise specified

Excess risk is per 10,000

#Statistical significance with P < 0.05

Causes of death for female patients undergoing local tumor excision

The majority of deaths for women undergoing local tumor excision occurred in12 to 59 months after surgery (n = 8096 [39%]), Table 1). In this group, as shown in Table 2 and Fig. 1, deaths from bladder cancer accounted for 36.6% of the all deaths (n = 20,780), which maintained a relative stable over the different follow-up periods. Deaths from other malignant cancers and non-tumor factors were 2933 and 10,239, respectively. In this study, the most common non tumor cause of death was diseases of heart, and the number of which was 3359, accounting 16.2% of all deaths, while in the malignant cancer group, cancers of lung and bronchus composed the majority, and the number was 1102, which accounted 5.3% of all deaths. Although the risk of death significantly decreased after 2–11 month follow-up (SMR 4.18; 95% CI 4.07–4.29), the risk was higher than that of general population over the follow-up months (SMR 1.77; 95% CI 1.73–1.81 over 12–59 months, SMR 1.35; 95% CI 1.31–1.39 over 12–59 months and SMR 1.34; 95% CI 1.28–1.39 over 60 months).

Table 2.

Main causes of death for patients with bladder cancer after local tumor excision

Total 2–11 months 12–59 months 60–119 months 120 + months
Observed Expected SMR (95%CI) Observed Expected SMR (95%CI) Observed Expected SMR (95%CI) Observed Expected SMR (95%CI) Observed Expected SMR (95%CI)
All causes of death 20,780 11,255.35 1.85# (1.82–1.87) 5453 1305.87 4.18# (4.07–4.29) 8096 4569.39 1.77# (1.73–1.81) 4694 3479.86 1.35# (1.31–1.39) 2537 1900.22 1.34# (1.28–1.39)
All malignant cancers 10,541 1953.59 5.40# (5.29–5.5) 4031 238.49 16.90# (16.38–17.43) 4311 822.82 5.24# (5.08–5.4) 1540 589.96 2.61# (2.48–2.74) 659 302.33 2.18# (2.02–2.35)
Digestive system 473 478.56 0.99 (0.9–1.08) 59 58.4 1.01 (0.77–1.3) 164 200.81 0.82# (0.7–0.95) 160 144.63 1.11 (0.94–1.29) 90 74.71 1.2 (0.97–1.48)
Stomach 42 32.58 1.29 (0.93–1.74) 8 4.21 1.9 (0.82–3.74) 16 14.03 1.14 (0.65–1.85) 11 9.63 1.14 (0.57–2.04) 7 4.72 1.48 (0.6–3.06)
Colon and rectum 141 195.19 0.72# (0.61–0.85) 12 24.6 0.49# (0.25–0.85) 49 83.18 0.59# (0.44–0.78) 47 58.29 0.81 (0.59–1.07) 33 29.12 1.13 (0.78–1.59)
Liver and intrahepatic bile duct 55 50.64 1.09 (0.82–1.41) 9 5.85 1.54 (0.7–2.92) 19 20.67 0.92 (0.55–1.44) 15 15.6 0.96 (0.54–1.59) 12 8.52 1.41 (0.73–2.46)
Liver 36 32.91 1.09 (0.77–1.51) 9 3.86 2.33# (1.07–4.43) 11 13.53 0.81 (0.41–1.46) 9 10.09 0.89 (0.41–1.69) 7 5.44 1.29 (0.52–2.65)
Pancreas 167 143.47 1.16 (0.99–1.35) 22 16.92 1.3 (0.81–1.97) 60 59.31 1.01 (0.77–1.3) 63 43.95 1.43# (1.1–1.83) 22 23.29 0.94 (0.59–1.43)
Respiratory system 1010 500.79 2.02# (1.89–2.15) 62 61.7 1 (0.77–1.29) 443 213.38 2.08# (1.89–2.28) 332 150.75 2.20# (1.97–2.45) 173 74.96 2.31# (1.98–2.68)
Lung and bronchus 1002 493.47 2.03# (1.91–2.16) 60 60.79 0.99 (0.75–1.27) 438 210.25 2.08# (1.89–2.29) 332 148.57 2.23# (2–2.49) 172 73.86 2.33# (1.99–2.7)
Breast 130 251.34 0.52# (0.43–0.61) 10 31.04 0.32# (0.15–0.59) 37 106.3 0.35# (0.25–0.48) 52 75.44 0.69# (0.51–0.9) 31 38.56 0.8 (0.55–1.14)
Female genital system 188 181.49 1.04 (0.89–1.2) 31 22.31 1.39 (0.94–1.97) 66 76.83 0.86 (0.66–1.09) 59 54.57 1.08 (0.82–1.39) 32 27.77 1.15 (0.79–1.63)
Ovary 103 94.25 1.09 (0.89–1.33) 15 11.82 1.27 (0.71–2.09) 35 40.51 0.86 (0.6–1.2) 34 28.16 1.21 (0.84–1.69) 19 13.76 1.38 (0.83–2.16)
Urinary system 7876 79.66 98.87# (96.7–101.08) 3663 9.36 391.55# (378.97–404.44) 3253 32.77 99.26# (95.88–102.73) 730 24.47 29.84# (27.71–32.08) 230 13.07 17.60# (15.4–20.03)
Urinary bladder 7608 40.22 189.17# (184.94–193.47) 3578 4.64 770.87# (745.81–796.55) 3138 16.35 191.98# (185.32–198.81) 683 12.44 54.89# (50.85–59.16) 209 6.79 30.80# (26.76–35.27)
Kidney and renal pelvis 153 36.45 4.20# (3.56–4.92) 42 4.37 9.61# (6.92–12.98) 60 15.21 3.94# (3.01–5.08) 37 11.09 3.34# (2.35–4.6) 14 5.77 2.42# (1.33–4.07)
Ureter 37 1.6 23.09# (16.26–31.82) 12 0.18 66.30# (34.26–115.81) 21 0.65 32.34# (20.02–49.44) 3 0.5 6.02# (1.24–17.58) 1 0.27 3.66 (0.09–20.37)
Other urinary organs 78 1.39 56.04# (44.3–69.94) 31 0.16 193.65# (131.58–274.87) 34 0.57 60.00# (41.55–83.84) 7 0.43 16.24# (6.53–33.47) 6 0.23 25.62# (9.4–55.76)
Lymphoma 56 81.42 0.69# (0.52–0.89) 5 9.96 0.5 (0.16–1.17) 20 34.26 0.58# (0.36–0.9) 21 24.58 0.85 (0.53–1.31) 10 12.62 0.79 (0.38–1.46)
Non-Hodgkin lymphoma 55 78.42 0.70# (0.53–0.91) 5 9.58 0.52 (0.17–1.22) 20 32.98 0.61# (0.37–0.94) 20 23.69 0.84 (0.52–1.3) 10 12.17 0.82 (0.39–1.51)
Leukemia 75 76.48 0.98 (0.77–1.23) 3 9.06 0.33# (0.07–0.97) 30 31.64 0.95 (0.64–1.35) 28 23.45 1.19 (0.79–1.73) 14 12.34 1.13 (0.62–1.9)
Miscellaneous malignant cancer 592 153.5 3.86# (3.55–4.18) 180 18.71 9.62# (8.27–11.13) 258 64.33 4.01# (3.54–4.53) 106 46.35 2.29# (1.87–2.77) 48 24.11 1.99# (1.47–2.64)
Non-tumor deaths
 Septicemia 231 162.89 1.42# (1.24–1.61) 48 19.34 2.48# (1.83–3.29) 73 67.06 1.09 (0.85–1.37) 74 49.92 1.48# (1.16–1.86) 36 26.57 1.36 (0.95–1.88)
 Other infectious and parasitic diseases including HIV 119 74.41 1.60# (1.32–1.91) 30 8.37 3.58# (2.42–5.11) 50 30.43 1.64# (1.22–2.17) 29 23.59 1.23 (0.82–1.77) 10 12.02 0.83 (0.4–1.53)
 Diabetes mellitus 307 280.55 1.09 (0.98–1.22) 59 35.03 1.68# (1.28–2.17) 104 118.62 0.88 (0.72–1.06) 85 84.16 1.01 (0.81–1.25) 59 42.75 1.38# (1.05–1.78)
 Alzheimer’s 598 754.66 0.79# (0.73–0.86) 40 76.55 0.52# (0.37–0.71) 167 284.08 0.59# (0.5–0.68) 204 242.72 0.84# (0.73–0.96) 187 151.31 1.24# (1.07–1.43)
 Diseases of heart 3359 2984.53 1.13# (1.09–1.16) 529 360.23 1.47# (1.35–1.6) 1289 1231.38 1.05 (0.99–1.11) 995 909.16 1.09# (1.03–1.16) 546 483.77 1.13# (1.04–1.23)
 Hypertension without heart disease 189 166.51 1.14 (0.98–1.31) 29 18.19 1.59# (1.07–2.29) 63 65.34 0.96 (0.74–1.23) 59 52.87 1.12 (0.85–1.44) 38 30.12 1.26 (0.89–1.73)
 Cerebrovascular diseases 796 824.92 0.96 (0.9–1.03) 114 99.72 1.14 (0.94–1.37) 318 338.98 0.94 (0.84–1.05) 235 249.67 0.94 (0.82–1.07) 129 136.56 0.94 (0.79–1.12)
 Other diseases of arteries, arterioles, capillaries 71 48.48 1.46# (1.14–1.85) 6 5.85 1.03 (0.38–2.23) 34 20.01 1.70# (1.18–2.37) 20 14.76 1.35 (0.83–2.09) 11 7.85 1.4 (0.7–2.51)
 Pneumonia and influenza 290 297.66 0.97 (0.87–1.09) 39 36.46 1.07 (0.76–1.46) 122 123.74 0.99 (0.82–1.18) 76 90.15 0.84 (0.66–1.06) 53 47.31 1.12 (0.84–1.47)
 Chronic obstructive pulmonary disease and allied Cond 1360 689.95 1.97# (1.87–2.08) 157 78.38 2.00# (1.7–2.34) 549 279.31 1.97# (1.8–2.14) 426 214.41 1.99# (1.8–2.18) 228 117.85 1.93# (1.69–2.2)
 Nephritis, nephrotic syndrome and nephrosis 268 213.48 1.26# (1.11–1.42) 40 24.9 1.61# (1.15–2.19) 93 87.41 1.06 (0.86–1.3) 88 66.26 1.33# (1.07–1.64) 47 34.9 1.35 (0.99–1.79)
 Symptoms, signs and ill-defined conditions 176 174.85 1.01 (0.86–1.17) 26 19.13 1.36 (0.89–1.99) 62 69.68 0.89 (0.68–1.14) 60 56.92 1.05 (0.8–1.36) 28 29.12 0.96 (0.64–1.39)
 Accidents and adverse effects 275 263.02 1.05 (0.93–1.18) 32 28.7 1.11 (0.76–1.57) 89 103.48 0.86 (0.69–1.06) 97 82.89 1.17 (0.95–1.43) 57 47.94 1.19 (0.9–1.54)
 Suicide and self-inflicted injury 12 15.04 0.8 (0.41–1.39) 4 1.88 2.13 (0.58–5.44) 7 6.48 1.08 (0.43–2.23) 0 4.45 0.00# (0–0.83) 1 2.23 0.45 (0.01–2.5)
 Other cause of death 1879 2111.31 0.89# (0.85–0.93) 216 224.53 0.96 (0.84–1.1) 644 819.02 0.79# (0.73–0.85) 620 676.59 0.92# (0.85–0.99) 399 391.17 1.02 (0.92–1.13)

SMR standardized mortality ratio, CI confidence interval

#Statistical significance with P < 0.05

Fig. 1.

Fig. 1

Proportion of different causes of death after operation, (A) Local tumor excision (B) Radical cystectomy

Data in Table 1 showed subgroup information of female patients undergoing local tumor excision. Most of the deaths were aged 75–84 years, however, compared with the general population, the risk of death was the lowest (SMR 1.53; 95% CI 1.49–1.56). With the decrease of age, the risk level gradually increased, and in the age group of 15–54 years, the risk level was the highest (SMR 3.85; 95% CI 3.58–4.13). White patients compose the majority of deaths, and the risk of death was relatively lower with respect to that of the other three races (n = 18,245, SMR 1.77; 95% CI 1.74–1.8). Simultaneously, compared with general population, poorly differentiated and undifferentiated types increased the risk of death by 2.6 and 3.04 times, respectively. The most common pathological types were papillary transitional cell carcinoma and Transitional cell carcinoma (NOS), however, the types that were higher contribution to the risk of death were adenocarcinoma (NOS), small cell carcinoma (NOS), and squamous cell carcinoma (keratinizing, NOS). All year of diagnosis increased the death risk.

Causes of death for female patients undergoing radical cystectomy

Most deaths for female patients underwent radical cystectomy occurred either 2–11 months (n = 1152) or 12–59 months (n = 1522) after surgery. Deaths from bladder cancer in this group accounted for 66.9% of all deaths, which composed the majority, while other cancer and non-tumor disease accounted for 10% and 23.1%, respectively (Table 3, Fig. 1). In comparison with the general population, the risk of death in female patients undergoing radical cystectomy significantly increased by 4.67 times over all follow-up months (SMR 4.67; 95% CI 4.51–4.84), which was approximately 2.5 times higher compared with local tumor excision group. Over all follow-up months, the risk of death from bladder cancer was the highest (SMR 832.50; 95% CI 797.86–868.26), and was about 4.4 times higher than that of the local tumor excision group. Simultaneously, several other causes of death were elevated in comparison with the general population, including both other malignant cancers and non-tumor causes. Of all the non-tumor deaths, the most common cause was diseases of heart (n = 195), which account for 25.9% of all non-tumor deaths. The non-tumor cause of death with the highest increased risk of death was septicemia (SMR 3.09; 95% CI 2.13–4.34), and the lowest was Alzheimer’s (SMR 0.64; 95% CI 0.42–0.94).

Table 3.

Main causes of death for patients with bladder cancer after radical cystectomy

Total 2–11 months 12–59 months 60–119 months 120 + months
Observed Expected SMR (95%CI) Observed Expected SMR (95%CI) Observed Expected SMR (95%CI) Observed Expected SMR (95%CI) Observed Expected SMR (95%CI)
All causes of death 3250 695.3 4.67# (4.51/4.84) 1152 88.18 13.06# (12.32/13.84) 1522 268.25 5.67# (5.39/5.97) 375 216.59 1.73# (1.56/1.92) 201 122.27 1.64# (1.42/1.89)
All malignant cancers 2498 142.64 17.51# (16.83/18.21) 973 21.56 45.12# (42.33/48.05) 1291 59.89 21.56# (20.4/22.77) 172 40.77 4.22# (3.61/4.9) 62 20.41 3.04# (2.33/3.89)
Digestive system 38 33.9 1.12 (0.79/1.54) 1 4.97 0.2 (0.01/1.12) 25 14.04 1.78# (1.15/2.63) 8 9.85 0.81 (0.35/1.6) 4 5.05 0.79 (0.22/2.03)
Colon and rectum 16 13.31 1.2 (0.69/1.95) 1 1.97 0.51 (0.01/2.83) 7 5.54 1.26 (0.51/2.6) 5 3.86 1.3 (0.42/3.02) 3 1.94 1.55 (0.32/4.52)
Respiratory system 71 38.46 1.85# (1.44/2.33) 4 6.08 0.66 (0.18/1.68) 30 16.55 1.81# (1.22/2.59) 15 10.73 1.4 (0.78/2.31) 22 5.09 4.32# (2.71/6.54)
Lung and bronchus 70 37.9 1.85# (1.44/2.33) 4 5.99 0.67 (0.18/1.71) 29 16.31 1.78# (1.19/2.55) 15 10.58 1.42 (0.79/2.34) 22 5.02 4.39# (2.75/6.64)
Urinary system 2208 5.4 408.57# (391.7/425.97) 902 0.75 1200.55# (1123.47/1281.52) 1157 2.18 530.82# (500.67/562.31) 125 1.61 77.53# (64.54/92.38) 24 0.86 27.87# (17.86/41.47)
Urinary bladder 2173 2.61 832.50# (797.86/868.26) 887 0.34 2594.47# (2426.51/2770.98) 1143 1.02 1,116.02# (1052.25/1182.64) 119 0.8 148.70# (123.18/177.94) 24 0.44 54.07# (34.64/80.45)
Kidney and renal pelvis 15 2.59 5.79# (3.24/9.54) 7 0.38 18.30# (7.36/37.71) 4 1.08 3.72# (1.01/9.52) 4 0.75 5.33# (1.45/13.64) 0 0.38 0 (0/9.61)
Miscellaneous malignant cancer 138 10.67 12.93# (10.86/15.28) 59 1.56 37.73# (28.72/48.67) 62 4.41 14.07# (10.79/18.04) 12 3.1 3.87# (2/6.76) 5 1.6 3.12# (1.01/7.29)
Non-tumor deaths
 Septicemia 33 10.69 3.09# (2.13/4.34) 18 1.43 12.60# (7.47/19.92) 7 4.23 1.65 (0.66/3.41) 4 3.24 1.23 (0.34/3.16) 4 1.78 2.24 (0.61/5.74)
 Diabetes mellitus 20 19.37 1.03 (0.63/1.59) 9 2.83 3.18# (1.46/6.04) 3 7.97 0.38 (0.08/1.1) 5 5.64 0.89 (0.29/2.07) 3 2.94 1.02 (0.21/2.99)
 Alzheimer’s 26 40.33 0.64# (0.42/0.94) 3 3.68 0.81 (0.17/2.38) 7 13.37 0.52 (0.21/1.08) 8 13.86 0.58 (0.25/1.14) 8 9.41 0.85 (0.37/1.68)
 Diseases of heart 195 173.52 1.12 (0.97/1.29) 39 21.6 1.81# (1.28/2.47) 70 66.59 1.05 (0.82/1.33) 49 54.56 0.9 (0.66/1.19) 37 30.77 1.2 (0.85/1.66)
 Cerebrovascular diseases 44 48.14 0.91 (0.66/1.23) 11 5.97 1.84 (0.92/3.3) 10 18.38 0.54 (0.26/1) 18 15.06 1.2 (0.71/1.89) 5 8.72 0.57 (0.19/1.34)
 Pneumonia and influenza 25 16.82 1.49 (0.96/2.19) 7 2.04 3.43# (1.38/7.06) 8 6.47 1.24 (0.53/2.44) 6 5.35 1.12 (0.41/2.44) 4 2.96 1.35 (0.37/3.46)
 Chronic obstructive pulmonary disease and allied Cond 77 45.98 1.67# (1.32/2.09) 5 6.15 0.81 (0.26/1.9) 28 18.26 1.53# (1.02/2.22) 28 13.98 2.00# (1.33/2.9) 16 7.6 2.11# (1.2/3.42)
 Nephritis, nephrotic syndrome and nephrosis 27 13.57 1.99# (1.31/2.89) 4 1.73 2.31 (0.63/5.92) 9 5.28 1.71 (0.78/3.24) 8 4.22 1.9 (0.82/3.74) 6 2.34 2.56 (0.94/5.58)
 Symptoms, signs and ill-defined conditions 18 9.52 1.89# (1.12/2.99) 4 1 4.02# (1.1/10.29) 4 3.43 1.17 (0.32/2.98) 6 3.3 1.82 (0.67/3.96) 4 1.8 2.23 (0.61/5.71)
 Accidents and adverse effects 23 16.29 1.41 (0.9/2.12) 5 1.99 2.51 (0.82/5.87) 8 6.13 1.3 (0.56/2.57) 3 5.15 0.58 (0.12/1.7) 7 3.02 2.32 (0.93/4.78)
 Other cause of death 188 123.69 1.52# (1.31/1.75) 49 13.57 3.61# (2.67/4.77) 55 44.51 1.24 (0.93/1.61) 46 40.86 1.13 (0.82/1.5) 38 24.76 1.53# (1.09/2.11)

SMR standardized mortality ratio, CI confidence interval

#Statistical significance with P < 0.05

Data for subgroups of female patients undergoing radical cystectomy can be found in Table 1. The most common death was the 65–74 age group (n = 1089), while compared with the general population, the highest risk of death was the 15–54 age group (SMR 19.11; 95% CI 17.22–21.15). Simultaneously, the risk of death obviously increased in all races, and notably, the risk was most elevated in the American Indian/Alaska native group (SMR 19.42; 95% CI 9.69–34.74). The risk of death was similar among different differentiation groups in comparison with the general population, and in different pathological type groups, the transitional cell carcinoma (NOS) composed the majority (n = 1813), however, the highest risk was transitional cell carcinoma (spindle cell) (SMR 10.05; 95% CI 7.8–12.74).

Discussion

In United States, more than 80,500 cases were diagnosed as bladder cancer in 2019 year, which accounted for 4.6% of all cancer diagnoses [12]. Simultaneously, although women are at lower risk of bladder cancer than men, they should be taken seriously. At present, most studies focus on the overall prognosis after diagnosis of bladder cancer, however, reports on the prognosis and cause of death of patients who have undergone different surgical treatment were limited. There are significant differences between radical cystectomy and local tumor excision, including operative area and operative procedures [13]. For radical cystectomy, three options are available, including open radical cystectomy, traditional and robotic laparoscopy. Open radical cystectomy is considered to be the gold standard because of the stably long-term oncological outcomes, however, the characteristics of long time consuming, more blood loss, greater trauma, slow postoperative recovery and high complication rate make people strive for a more minimally invasive surgical method. Traditional laparoscopy can effectively decrease these perioperative risks because of minimally invasive approaches, nevertheless, four degrees of freedom of movement and poor ergonomics caused problems for surgeons. Compared with traditional laparoscopy, robotic surgery is characterized by the wider and clearer vision and more accurate and flexible control capability, but the high surgical cost and long learning curve make it controversial. The long-term oncological outcomes of the minimally invasive surgical methods are still under study [1417]. A previous study [16] that involved 60 patients suggested that minimally invasive approaches could reach similar oncological outcomes to the open radical cystectomy by comparing the five-year recurrence-free survival, cancer-specific survival and overall survival of patients with bladder cancer who underwent different surgical methods. Moreover, the pathological types of bladder cancer are complex. These factors directly affect the economic burden, spiritual stress, quality of life and prognosis of patients. Hence, this emphasizes the requirements to optimize the selection of surgical methods and health management during survivorship. In our study, we assessed the cause of death after two surgical treatments of bladder cancer stratified by patient and tumor characteristics using representative population-based data from the United States. In female patients undergoing local tumor excision, approximately 50% death from non-tumor causes and 13.8% death from other malignant cancers, however, these women were overall less likely to die of most non-bladder cancer causes in comparison with the general population. In women undergoing radical cystectomy, nearly 82.2% of deaths occurred in 5 years after surgery, and compared with general population, the death of risk caused by non-bladder cancer significantly increased.

Patients with cancer usually have various comorbidities, and the status can directly affect the treatment decision-making, prognosis, and survival outcomes. It is reported that the severity of comorbidity status has a strong impact on the survival of patients in a dose-dependent fashion independent of cancer stage. Coexisting diseases can significantly increase the risk of the mortality of bladder cancer, and the influence degree of individual comorbidities and combined comorbidity is different. Simultaneously, the frequency and severity of perioperative complications increase with comorbidity rates increasing [1820]. In our study, although the risk of death from heart diseases in all female patients who underwent surgery was slightly higher than that in the general population, it was the most common cause of death. Simultaneously, the ratio of cardiac death was continuously higher than the general population over all follow-up years after the surgery. According to the National Vital Statistics System statistics, 23.4% of the total United States population died of heart diseases in 2015 [21]. Considering these results, death caused by cardiovascular events should be concerned and relative risk factors should be monitored early, such as hyperlipidemia, cigarette smoking, and diabetes mellitus [22]. In patients who underwent radical cystectomy, the risk of death from septicemia was significantly increased in comparison with general population over all follow-up years. Nearly 2/3 of patients occur complications within 90 days after radical cystectomy, and the mortality rate ranges between 1.5% and 2% at 30 days postoperatively [20, 23]. Approximately 25% of the complications are infection, and obstruction caused by ureteral mesenteric anastomosis stenosis and urinary retention can lead to hydronephrosis, renal insufficiency and recurrent urinary tract infection [20]. Therefore, in the management of patients undergoing cystectomy, many long-term sequelae of urinary diversion should be considered, and the nursing of fistula, electrolyte balance and vitamin B12 should be monitored regularly [13]. The choice of the type of urinary diversion is crucial to the quality of life and prognosis of patients undergoing radical cystectomy. Failure of the urinary diversion may lead to the above-mentioned multiple complications and ultimately threaten the life of patients. The ideal urinary diversion should optimally maintain renal function, control urinary outflow, and minimize the incidence rate of patients. Among three types of urinary diversion, including orthotopic neobladders, cutaneous diversions and Ileal conduits, ileal conduits are considered to be the fastest, easiest, least complication-prone urinary diversion [24].

For patients with bladder cancer, age is considered to be an important prognostic factor. Compared with young patients, the mortality rate of elderly patients is higher because of poor histologies, higher recurrence rate, long-term accumulation of the molecular and genetic aberrations, accompanied by comorbidities and decreased immunity [25]. However, for patients undergoing radical cystectomy, it is reported that age is an important prognostic factor but is not irreplaceable, and tumor stage, grade and comorbidity status play decisive roles [26]. Our study showed that the risk of postoperative death in the 15–54 and 55–64 age groups, especially in the 15–54 age group, was significantly higher than that both in the other age groups and in the general population. This result seems different from previous studies, which believe that in contrast to those that occur in older patients, individuals under the age of 40 tend to express well-differentiated histologies and behave in a more indolent fashion [27, 28]. However, previous studies have not updated, and conducted detailed studies on patients after bladder cancer surgery. Young women who underwent surgical treatment, especially cystectomy, have high aggressive and rare pathological types and poor prognosis. However, further research is needed. Simultaneously, the risk of postoperative death in all races was higher than that in the general population, however, the risk of death in non-white patients was obviously higher. Previous study [25] suggested that compared to white females, fewer disease of African Americans with bladder cancer confine to the bladder, and present highly invasive, which may result from socioeconomic status, occupational exposures, smoking, and differences in metabolism of toxic substances. Moreover, in addition to the primary bladder cancer, the death caused by other malignant cancers should also raise concern. The change of hormone level in female patients after operation, or the subsequent treatment, including chemotherapy and immunotherapy, will make the patients in a low immune status, and the combination of other malignant cancers will significantly increase the mortality of patients, especially those who have undergone radical cystectomy [2931].

The prognosis of patients with bladder cancer is relatively poor, especially women. Female patients are usually diagnosed with more advanced tumors at presentation and have less satisfactory outcomes after treatment with higher cancer-specific mortality. Therefore, multimodal management strategies play important roles in the survival and prognosis of bladder cancer patients, which require the cooperation of multidisciplinary teamwork to take charge of the whole process management of bladder cancer patients, including urology, radiotherapy, oncology, pathology, imaging, nuclear medicine, intervention, anesthesia, nursing and psychotherapy. In addition, personalized treatment and follow-up strategies for different individuals also play an irreplaceable role in multimodal management, including the selection of surgical approaches, the choice of radiotherapy, chemotherapy and immunotherapy at different stages, the improvement of perioperative surgical management, molecular-based systemic treatment strategies, accurate tumor burden assessment, and optimized follow-up policies. Moreover, the progress of molecular tumor biology, the modern research of tumor metastasis, and the development of different approaches has the potential to improve substantially the oncological outcomes [32, 33].

Despite the useful findings of our study, several limitations in our study are as follows: first, some important data lost due to lack of collection in SEER, such as smoking, which has been proved to be a risk factor for bladder cancer prognosis [34]. In addition, this study was based on the classification of surgical methods, which enables us to understand the role of surgical modality in the long-term survival of bladder cancer. However, the non-surgical treatment of bladder cancer is also important for the prognosis of patients. Moreover, different surgeons may have respective treatment strategies for bladder tumors of the same grade. The option of treatment and follow-up methods based on the surgeon's judgment of the final results and the choice of the type of technique proposed will directly affect the prognosis of patients. Finally, the retrospective nature of the SEER database used in the study may have, to an extent, weaken the conclusion.

In summary, this study provides contemporary and comprehensive evaluation of causes of death for female patients of bladder cancer who have underwent radical cystectomy or local tumor excision. We found that the overall risk of death significantly increased for female patients undergoing radical cystectomy or local tumor excision in comparison to the general population, and especially in patients undergoing radical cystectomy. Simultaneously, bladder cancer remains the leading cause of death after surgery, but the death caused by heart diseases could not be ignored, and for patients undergoing radical cystectomy, the death of risk caused by non-bladder cancer significantly increased compared with patients undergoing local tumor excision, such as septicemia. These data highlight the need for general primary care for these female patients during postoperative cancer survivorship.

Acknowledgements

The authors would like to thank all contributors to the Surveillance, Epidemiology, and End Results (SEER) program data that were used in this analysis.

Author contributions

Study concept and design by QL; data acquisition by YN; data analysis by QL and YN; data interpretation by JY; manuscript drafting by QL; critical revision of the manuscript for important intellectual content by QL and JY; study supervision by DW. All authors read and approved the final manuscript.

Funding

Not applicable.

Availability of data and materials

The data sets generated during and analyzed during the current study are available in the SEER repository (https://seer.cancer.gov/).

Declarations

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Competing interests

The authors declare that they have no actual or potential competing interests.

Footnotes

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Contributor Information

Qian Lyu, Email: lvqian2506@163.com.

Yu Nie, Email: nieyu611@163.com.

Jiazheng Yuan, Email: yjz960818@163.com.

Dong Wang, Email: wangdongdoctor333@163.com.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The data sets generated during and analyzed during the current study are available in the SEER repository (https://seer.cancer.gov/).


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