| Literature DB >> 32676404 |
Megan K Forbes1, Evan P Owens1,2, Simon T Wood1,3, Glenda C Gobe1,2,4, Robert J Ellis1,3,4.
Abstract
BACKGROUND: International guidelines recommend partial over radical nephrectomy for management of kidney tumours, due to perceived advantages of kidney function preservation. In Queensland, oncological nephrectomy is performed in both metropolitan and rural hospitals. Previous studies have shown that patients from rural areas with kidney tumours are less likely to undergo partial nephrectomy compared with those in major cities. The aim of this study was to investigate patterns of partial nephrectomy according to geographical area, and to identify patient- and health-service-level characteristics associated with partial nephrectomy.Entities:
Keywords: Hospital volume; nephrectomy; partial nephrectomy; renal cell carcinoma; rural hospital; socioeconomic status
Year: 2020 PMID: 32676404 PMCID: PMC7354325 DOI: 10.21037/tau-19-775
Source DB: PubMed Journal: Transl Androl Urol ISSN: 2223-4683
Characteristics of 2,747 patients managed surgically for kidney cancer
| Parameters | Partial nephrectomya (n=637) | Radical nephrectomya (n=2,110) |
|---|---|---|
| Age at diagnosis, year | ||
| <65 | 447 [70] | 1,192 [56] |
| ≥65 | 190 [30] | 918 [44] |
| Median [IQR] | 63 [54–71] | 59 [49–67] |
| Year of surgery | ||
| 2009 | 68 [11] | 335 [16] |
| 2010 | 82 [13] | 308 [15] |
| 2011 | 85 [13] | 351 [17] |
| 2012 | 97 [15] | 364 [17] |
| 2013 | 156 [24] | 358 [17] |
| 2014 | 149 [23] | 394 [19] |
| Sex | ||
| Female | 202 [32] | 748 [35] |
| Male | 435 [68] | 1,362 [65] |
| ASA classification | ||
| 1–2 | 336 [64] | 1,102 [60] |
| ≥3 | 190 [36] | 738 [40] |
| Socioeconomic statusb | ||
| Disadvantaged | 123 [19] | 506 [24] |
| Middle | 391 [61] | 1,351 [64] |
| Advantaged | 123 [19] | 253 [12] |
| Place of residencec | ||
| Major city | 426 [67] | 1,237 [59] |
| Inner regional | 124 [19] | 543 [26] |
| Rural | 87 [14] | 330 [16] |
| Hospital type | ||
| Public | 318 [50] | 953 [45] |
| Private | 319 [50] | 1157 [55] |
| Hospital locationc | ||
| Major city | 578 [91] | 1,641 [78] |
| Inner regional | 38 [6] | 327 [16] |
| Rural | 21 [3] | 142 [7] |
| Hospital volume, resections/yrd | ||
| 1–10 | 49 [8] | 417 [20] |
| 11–20 | 114 [18] | 414 [20] |
| >20 | 474 [74] | 1,279 [60] |
Data presented as: count [%] or median [interquartile range]. a, Nephrectomy type taken from the first procedure only; b, socioeconomic indexes for areas index of relative socioeconomic advantage and disadvantage (tertiles); c, accessibility/remoteness index of Australia; rural encompasses outer regional and remote categories; d, number of surgeries for kidney cancer at each centre per year. IQR, interquartile range; ASA, American Society of Anesthesiologists.
Associations between patient- and hospital-level characteristics and partial nephrectomy
| Characteristics | Crude, OR (95% CI) | Adjusted, OR (95% CI) |
|---|---|---|
| Age at diagnosis, year | ||
| <65 | Reference | Reference |
| ≥65 | 0.6 (0.5–0.7) | 0.6 (0.5–0.7) |
| P value | <0.001 | <0.001 |
| Per 5 years | 0.9 (0.8–0.9) | 0.9 (0.8–0.9) |
| P value | <0.001 | <0.001 |
| Year of surgery | ||
| 2009 | Reference | |
| 2010 | 1.3 (0.9–1.9) | |
| 2011 | 1.2 (0.8–1.7) | |
| 2012 | 1.3 (0.9–1.9) | |
| 2013 | 2.1 (1.6–3.0) | |
| 2014 | 1.9 (1.4–2.6) | |
| P value | <0.001 | |
| Sex | ||
| Female | Reference | Reference |
| Male | 1.2 (1.0–1.4) | 1.2 (1.0–1.5) |
| P value | 0.08 | 0.06 |
| ASA classification | ||
| 1–2 | Reference | Reference |
| ≥3 | 0.8 (0.7–1.0) | 1.0 (0.8–1.3) |
| P value | 0.10 | 0.80 |
| Socioeconomic status | ||
| Disadvantaged | Reference | Reference |
| Middle | 1.2 (0.9–1.5) | 1.2 (0.9–1.5) |
| Advantaged | 2.0 (1.5–2.7) | 1.9 (1.4–2.5) |
| P value | <0.001 | <0.001 |
| Place of residencea | ||
| Major city | Reference | Reference |
| Inner regional | 0.7 (0.5–0.8) | 0.7 (0.6–0.9) |
| Rural | 0.8 (0.6–1.0) | 0.7 (0.5–1.0) |
| P value | <0.001 | 0.01 |
| Hospital typeb | ||
| Public | Reference | Reference |
| Private | 1.2 (0.7–2.1) | 1.2 (0.7–2.1) |
| P value | 0.51 | 0.55 |
| Hospital locationc | ||
| Major city | Reference | Reference |
| Inner regional | 0.3 (0.2–0.6) | 0.4 (0.2–0.7) |
| Rural | 0.4 (0.2–0.9) | 0.3 (0.2–0.7) |
| P value | <0.001 | <0.001 |
| Hospital volume, resections/yrd | ||
| 1–10 | 0.3 (0.2–0.6) | 0.4 (0.2–0.9) |
| 11–20 | 0.7 (0.4–1.6) | 0.7 (0.3–1.5) |
| >20 | Reference | Reference |
| P value | <0.001 | 0.004 |
OR and 95% CI estimated using multivariable regression models. All adjusted estimates were adjusted for age and sex; additional adjustment variables are included as footnotes. For hospital type, location, and volume, clustering by hospital code was accounted for using robust sandwich estimators. a, Additionally adjusted for ASA classification; b, additionally adjusted for ASA classification and socioeconomic status; c, additionally adjusted for ASA classification and SES; d, additionally adjusted for ASA classification, hospital type, and hospital region. OR, odds ratio; CI, confidence interval; ASA, American Society of Anesthesiologists.
Figure 1Likelihood of partial nephrectomy in Queensland by year. Likelihood of partial nephrectomy compared by year. Data presented as crude OR and 95% CI, considering the year 2009 as the reference. OR, odds ratio; CI, confidence interval.
Patient and health-service characteristics compared by hospital location
| Variables | All (n=2,747) | Major city (n=2,219) | Inner regional (n=365) | Outer regional (n=163) |
|---|---|---|---|---|
| Age, year, n [%] | ||||
| <50 | 490 [18] | 415 [19] | 56 [13] | 29 [18] |
| 50–59 | 679 [25] | 547 [25] | 89 [24] | 43 [26] |
| 60–69 | 836 [30] | 684 [31] | 113 [31] | 39 [24] |
| ≥70 | 742 [27] | 573 [26] | 117 [32] | 52 [32] |
| Sex, n [%] | ||||
| Female | 950 [35] | 767 [35] | 135 [37] | 48 [29] |
| Male | 1,797 [65] | 1,452 [65] | 230 [63] | 115 [71] |
| ASA score, n [%] | ||||
| 1–2 | 1,438 [52] | 1,118 [50] | 241 [66] | 79 [48] |
| ≥3 | 928 [34] | 773 [35] | 108 [30] | 47 [29] |
| Missing | 381 [14] | 328 [15] | 16 [4] | 37 [23] |
| Socioeconomic status, n [%] | ||||
| Disadvantaged | 629 [23] | 487 [22] | 105 [29] | 37 [23] |
| Middle | 1,742 [63] | 1,369 [62] | 257 [70] | 116 [71] |
| Advantaged | 376 [14] | 363 [16] | 3 [1] | 10 [6] |
| Place of residence, n [%] | ||||
| Major city | 1,663 [61] | 1,524 [69] | 138 [38] | 1 [<1] |
| Inner regional | 667 [24] | 453 [20] | 201 [55] | 13 [8] |
| Outer regional/remote | 417 [15] | 242 [11] | 26 [7] | 149 [91] |
ASA, American Society of Anesthesiologists.
Figure 2Proportion of patients managed with partial nephrectomy by year. (A) Proportion of patients who underwent surgery who were managed with partial nephrectomy, compared on hospital location; (B) proportion of patients who were managed with partial and radical nephrectomy compared on hospital location, presented as the total number of cases.
Figure 3Geographical distribution of kidney cancer in Queensland. (A,B,C) Incident cases of kidney cancer in Queensland compared by region, standardised to the population of each statistical area; (D) map depicting Australia’s population density using 1 km2 grids, developed by the Australian Bureau of Statistics. © 2014 Commonwealth of Australia. Reproduced under Creative Commons Attribution 4.0 International License; (E) map of hospitals where nephrectomy was performed in Queensland during the study period. Reproduced in accordance with Google Maps Terms of Service (scale bar 200 km). NSW, New South Wales; NT, Northern Territory; QLD, Queensland; SA, South Australia; TAS, Tasmania; VIC, Victoria; WA, Western Australia.
Figure 4Interstate and international comparisons of partial nephrectomy rates. Proportion of patients managed surgically for incident kidney cancer who underwent partial nephrectomy between 2009 and 2014. Queensland data from the present study. Victorian data from Ta et al. (29) and White et al. (15) with additional data provided by the authors of these papers. New South Wales data from Patel et al. (16) with additional data provided by the New South Wales Clinical Cancer Registry. USA data from Sorokin et al. (8). Canadian data from Yap et al. (30).