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. 2024 Apr 18;6(1):vdae051. doi: 10.1093/noajnl/vdae051

Contemporary trends in the incidence and timing of spinal metastases: A population-based study

Husain Shakil 1,2,3, Armaan K Malhotra 4,5,6, Jetan H Badhiwala 7, Vishwathsen Karthikeyan 8, Ahmad Essa 9,10, Yingshi He 11, Michael G Fehlings 12,13, Arjun Sahgal 14, Nicolas Dea 15, Alex Kiss 16,17, Christopher D Witiw 18,19,20, Donald A Redelmeier 21,22,23, Jefferson R Wilson 24,25,26,
PMCID: PMC11046986  PMID: 38680988

Abstract

Background

Spinal metastases are a significant complication of advanced cancer. In this study, we assess temporal trends in the incidence and timing of spinal metastases and examine underlying patient demographics and primary cancer associations.

Methods

In this population-based retrospective cohort study, health data from 2007 to 2019 in Ontario, Canada were analyzed (n = 37, 375 patients identified with spine metastases). Primary outcomes were annual incidence of spinal metastasis, and time to metastasis after primary diagnosis.

Results

The age-standardized incidence of spinal metastases increased from 229 to 302 cases per million over the 13-year study period. The average annual percent change (AAPC) in incidence was 2.2% (95% CI: 1.4% to 3.0%) with patients aged ≥85 years demonstrating the largest increase (AAPC 5.2%; 95% CI: 2.3% to 8.3%). Lung cancer had the greatest annual incidence, while prostate cancer had the greatest increase in annual incidence (AAPC 6.5; 95% CI: 4.1% to 9.0%). Lung cancer patients were found to have the highest risk of spine metastasis with 10.3% (95% CI: 10.1% to 10.5%) of patients being diagnosed at 10 years. Gastrointestinal cancer patients were found to have the lowest risk of spine metastasis with 1.0% (95% CI: 0.9% to 1.0%) of patients being diagnosed at 10 years.

Conclusions

The incidence of spinal metastases has increased in recent years, particularly among older patients. The incidence and timing vary substantially among different primary cancer types. These findings contribute to the understanding of disease trends and emphasize a growing population of patients who require subspecialty care.

Keywords: cohort studies, epidemiology, incidence, Ontario, spinal metastasis


Key Points.

  • The incidence of spinal metastasis increased from 229 to 302 cases per million.

  • Incidence and timing of spinal metastasis varied by age and primary cancer type.

  • Lung cancer patients have the highest risk of spinal metastasis after diagnosis.

Importance of the Study.

Our results point to a growing population of patients requiring treatment for spinal metastases. The demographics of this population are changing, and we can expect a larger proportion of the patient pool to be of older age and with metastatic prostate cancer. Furthermore, we demonstrate variation in timing of metastases based on primary cancer type. Lung cancer patients have the greatest risk of metastasis after diagnosis, and gastrointestinal cancer patients have the lowest. These findings have health policy implications and can assist in patient counseling and surveillance at the time of cancer diagnosis.

Spinal metastases are a consequential complication of advanced cancer. Patients with metastatic tumors to the spine often suffer from debilitating pain and neurologic deficits due to pathologic fractures or tumor-related compression of the spinal cord or spinal nerves.1 This complication is also costly to the healthcare system, with direct healthcare cost estimates being upwards of $554 323 USD per patient for the first 60 days of treatment.2 Appropriate understanding of epidemiology is paramount for counseling patients, optimizing health policy, and improving the efficiency of health care delivery.3,4

The cancer population is changing, driven largely by increased life expectancy, improved systemic cancer therapy, and a growing population of patients living with primary tumors.5 The World Health Organization has estimated that 29.4 million new cancer patients will be diagnosed in 2040, a roughly 60% increase.6 The spine is commonly cited to be the most common site of bony metastases.7 The evaluation and treatment of metastatic spine disease, therefore, will be a growing burden. reevaluation of the epidemiology of patients with spinal metastases is therefore needed, to keep our estimates current. Prior estimates of incidence and temporal trends of spine metastases are either outdated or based on single-center data.8–12

The purpose of this study was to evaluate the temporal trends in the incidence and timing of spine metastases over a 13-year period from 2007 to 2019. In addition, age, sex, and cancer subtype-specific estimates of the risk of spinal metastases are evaluated and compared.

Materials and Methods

Study Design

This longitudinal population-based retrospective cohort study was completed in Ontario, where universal health care services are accessible through the Ontario Health Insurance Plan (OHIP). Ontario has the largest population among provinces in Canada, with estimates growing from 12.8 to 14.6 million people during the study.13 This total accounts for nearly half of the Canadian population. The study was approved by the Unity Health Toronto research ethics board (REB 21–149). In addition, this study followed the Reporting of studies Conducted using Observational Routinely collected health Data (RECORD) guidelines.14

Data Source

Data was retrieved from administrative health databases for the years 2007 to 2019. All data were available through the Institute for Clinical Evaluative Sciences (ICES).15 ICES is an independent, nonprofit research institute funded by an annual grant from the Ontario Ministry of Health. As a prescribed entity under Ontario’s privacy legislation, ICES is authorized to collect and use health care data for the purposes of health system analysis, evaluation, and decision support. Secure access to these data is governed by policies and procedures that are approved by the Information and Privacy Commissioner of Ontario.15To define the patient cohort unique ICES patient identifiers were used to link data from the Ontario Cancer Registry (OCR), the OHIP Claims database, and the Cancer Care of Ontario Activity Level Reporting Database for Radiotherapy (ALR). Patient demographics were derived from the Registered Person’s Database (RPDB). A summary of data sources is provided in Supplementary Table 1.

Patients

We identified patients by linking the OCR, OHIP, and ALR with unique individual identifiers. Inclusion criteria included all OHIP-eligible adults over 25 years registered in the OCR and alive at the time of diagnosis of their primary cancer. This age range was chosen to align with age ranges available for reference populations within Statistics Canada. The OCR identifies all new cancer cases diagnosed in persons living within Ontario.16 To identify those who subsequently developed spine metastases we identified cancer patients with either an OHIP fee code for extradural tumor decompression linked with an OHIP neoplastic diagnosis code or a spine body region radiation code within ALR. We excluded patients known to have primary spine, peripheral nerve, intradural, or intramedullary tumors. This method of identification of patients with spinal metastases has been adapted from previous publications.17–19Supplementary Figure 1 outlines cohort creation as per RECORD guidelines. Codes used for patient inclusion and exclusion are listed in Supplementary Table 2.

Subgroups

Patient subgroups were prespecified for evaluation. Age subgroups were defined as 25–44, 45–64, 65–74, 75–84, and ≥85 years. Sex subgroups were male and female. Primary cancer types were grouped as lung, breast, prostate, gastrointestinal, myeloma, urological, lymphoma, hepatobiliary, melanoma, gynecological, thyroid, or miscellaneous. These primary cancer groups were selected based on available International Classification of Diseases Oncology 3 Topography Codes as described in prior studies.17,19 Outcomes were provided for the 6 most common primary cancers within our spine metastases cohort; namely, lung, breast, prostate, gastrointestinal, myeloma, and urological. Diagnostic codes for primary cancer subtypes are provided in Supplementary Table 4.

Outcomes

The primary outcome of annual incidence of spine metastases was estimated by identifying new cases in Ontario from January 1st through December 31st of each year from 2007 to 2019. Crude incidences were estimated using the annual counts with reference to the Ontario population for the given year. Age and sex subgroup incidence were estimated by using age group or sex group-specific Ontario populations. Primary cancer subgroups were referenced to the general Ontario population for the given year, to provide their year-specific contribution to the overall incidence for the year.

Total population, and subgroup estimates by age and sex were based on data available from Statistics Canada.20 Age-standardized incidence was calculated by re-weighting crude incidence to match a 2006 Ontario population distribution. This was done to accurately compare incidence across years independent of differences in age distribution, as recommended by Statistics Canada and the National Cancer Institute Division of Cancer Control & Population Sciences.21,22 For comparison, we estimated the age-standardized overall incidence of new cancer diagnoses for each primary cancer type.

The timing of metastases was assessed as a time-to-event variable by calculating the time between the date of primary cancer diagnosis and the date of the first spine metastases intervention. The earliest date of entry between OHIP and ALR was used as an estimate of the date of spinal metastases (Supplementary Table 2). In cases where the date of entry of these codes was at the same date or prior to the date of primary cancer diagnosis, then a synchronous presentation of cancer and spinal metastases was assumed, with a of zero days.

The incidence rate of spine metastases after cancer diagnosis was calculated for each cancer type using a person-years approach.23 Estimates were calculated by dividing the number of spinal metastases occurring among patients at risk during the study period, divided by the total time at risk for the subgroup. Individual patient time at risk was defined to be the interval between cancer diagnosis and the date of earliest spine metastasis intervention for the patients with spinal metastasis. For cancer patients not found to have a spine metastasis during the study period, the time at risk was the interval between cancer diagnosis and the date of death or final follow-up.

Statistical Analyses

Statistical analyses were performed using R version 4.2.1 with a prespecified significance level of P = .05 for 2-tailed tests. Descriptive statistics were reported as mean, standard deviation (SD), minimum, median, and maximum for continuous variables and counts with proportions for categorical variables. Standard errors and 95% confidence intervals for crude incidence and incidence rates were computed by assuming a Poisson distribution of population rates, as recommended for rare outcomes.24

Temporal trend analysis was done using Join-point regression software available through the National Cancer Institute Division of Cancer Control & Population Sciences.25,26 Join-point software was used to compute an average annual percent change (AAPC), using the grid search method, with model selection done using the Weighted Bayesian Information Criterion, and 95% confidence intervals computed with a parametric method.27 AAPC confidence intervals for the incidence of spinal metastases were compared to the overall incidence of new cancer diagnoses to detect statistically significant differences.

Time to metastasis for the cohort and for primary cancer subgroups were analyzed using a competing risks approach.28 The time of death was recorded as a competing event for cancer patients in OCR not found to have a spine metastasis during the study period. The cumulative incidence function with log-based 95% confidence intervals were estimated using the Nelson-Aelen method.29,30 Point estimates for the cumulative incidence of spinal metastasis at 1, 5, and 10 years were computed with 95% confidence intervals. Time points were chosen to respect the range of event times available within the cohort. Gray’s test was used to compare cumulative incidence curves between primary cancer subgroups.31

Results

Overview

The study cohort consisted of 37 375 patients identified with spinal metastases from 2007 to 2019. The mean age was 64.4 years (12.6 years SD) and 55% were male. The 6 most common primary cancer types within the cohort were lung (27%), breast (16%), prostate (16%), gastrointestinal (8%), myeloma (8%), and urological (7%). A baseline description of the cohort is provided in Table 1.

Table 1.

Baseline Characteristics of Study Cohort of Patients With Age-Standardized Annual Incidence of Spinal Metastases, and Average Annual Percent Change (AAPC) in the Incidence of Spine Metastasis SD Standard Deviation

Year No. of Patients Age, years (SD) Male (%) Lung (%) Breast (%) Prostate (%) Gastrointestinal (%) Myeloma (%) Urological (%) Age—Standardized annual incidence of spinal metastases (95% CI)—/Million AAPC in spinal metastases incidence (95% CI),
P-value
2007–2019 37 375 64.4 (12.6) 20 564 (55.0) 10 150 (27.2) 5958 (15.9) 5814 (15.6) 3146 (8.4) 3061 (8.2) 2759 (7.4) 2.2
(1.4 to 3.0),
P < .01
2007 2033 63.7 (12.8) 1059 (52.1) 626 (30.8) 302 (14.9) 228 (11.2) 172 (8.5) 192 (9.4) 146 (7.2) 229 (219–239)
2008 2203 63.7 (12.6) 1206 (54.7) 698 (31.7) 295 (13.4) 275 (12.5) 195 (8.9) 197 (8.9) 139 (6.3) 242 (232–252)
2009 2400 64.1 (12.6) 1300 (54.2) 692 (28.8) 361 (15.0) 320 (13.3) 226 (9.4) 203 (8.5) 185 (7.7) 257 (247–268)
2010 2450 64.3 (12.7) 1365 (55.7) 714 (29.1) 385 (15.7) 329 (13.4) 205 (8.4) 206 (8.4) 199 (8.1) 255 (245–265)
2011 2691 64.4 (12.9) 1473 (54.7) 805 (29.9) 385 (14.3) 375 (13.9) 239 (8.9) 219 (8.1) 188 (7.0) 273 (263–284)
2012 2828 64.3 (12.8) 1548 (54.7) 782 (27.7) 443 (15.7) 416 (14.7) 249 (8.8) 261 (9.2) 187 (6.6) 282 (272–293)
2013 2946 64.2 (12.7) 1611 (54.7) 796 (27.0) 479 (16.3) 434 (14.7) 249 (8.5) 223 (7.6) 234 (7.9) 285 (275–296)
2014 2987 64.4 (12.9) 1622 (54.3) 827 (27.7) 505 (16.9) 459 (15.4) 250 (8.4) 260 (8.7) 191 (6.4) 284 (273–294)
2015 3164 64.5 (12.5) 1722 (54.4) 825 (26.1) 519 (16.4) 522 (16.5) 268 (8.5) 257 (8.1) 208 (6.6) 293 (283–304)
2016 3380 64.8 (12.6) 1921 (56.8) 851 (25.2) 554 (16.4) 591 (17.5) 277 (8.2) 244 (7.2) 278 (8.2) 305 (295–316)
2017 3293 64.3 (12.6) 1829 (55.5) 800 (24.3) 560 (17.0) 561 (17.0) 262 (8.0) 247 (7.5) 270 (8.2) 291 (281–301)
2018 3412 64.8 (12.4) 1912 (56.0) 835 (24.5) 556 (16.3) 611 (17.9) 280 (8.2) 272 (8.0) 250 (7.3) 294 (284–304)
2019 3588 65.0 (12.3) 1996 (55.6) 899 (25.1) 614 (17.1) 693 (19.3) 274 (7.6) 280 (7.8) 284 (7.9) 302 (292–312)

Annual Incidence of Spinal Metastases

A significant increase in the incidence of spinal metastases was noted across the study years (AAPC 2.2; 95% CI: 1.4 to 3.0). We found no significant difference between males and females in the annual age-standardized incidence of spinal metastasis, or the AAPC across the study period (Table 2). The age groups with the highest annual incidence across the study period were 65–74 years, and 75–84 years (Figure 1A). Temporal trend analysis provided in Table 2 demonstrates that all age groups above 45 years demonstrated a significant increase in the AAPC across the study period. The age group demonstrating the largest growth in annual incidence were patients aged ≥85 years (AAPC 5.2; 95% CI: 2.3 to 8.3).

Table 2.

Number of Cases, Annual Incidence, and Average Annual Percent Change (AAPC) in Incidence of Spine Metastasis by Age Groups and Sex

Age 25–44 years Age 45–64 years Age 65–74 years Age 75–84 years Age ≥ 85 years
Year Count Annual incidence (95% CI) -/Million AAPC (95% CI),
P-value
Count Crude annual incidence (95% CI)/Million AAPC (95% CI)
P-value
Count Annual incidence (95% CI) -/Million AAPC (95% CI),
P-value
Count Annual incidence (95% CI) -/Million AAPC (%),
P-value
Count Annual incidence (95% CI) -/Million AAPC
(95% CI)
P-value
2007 172 47 (40–54) 1.3
(−0.9 to 3.6)
P = .25
842 248 (231–265) 3.4
(2.4 to 4.3)
P < .01
581 654 (601–707) 1.0
(0.3 to 1.7)
P < .01
380 635 (571–699) 2.3
(0.7 to 4.0)
P < .01
58 285 (212–358) 5.2
(2.3 to 8.3)
P < .01
2008 154 42 (35–49) 965 276 (258–293) 620 678 (624–731) 398 657 (592–721) 66 307 (233–381)
2009 178 49 (42–56) 1024 284 (267–302) 704 745 (690–800) 427 699 (632–765) 67 295 (225–366)
2010 163 45 (38–52) 1065 288 (271–306) 693 711 (658–764) 448 724 (657–791) 81 339 (265–413)
2011 159 44 (37–51) 1189 316 (298–334) 755 746 (693–799) 465 741 (673–808) 123 494 (406–581)
2012 202 56 (48–64) 1176 311 (293–328) 811 757 (705–809) 528 829 (759–900) 111 425 (346–504)
2013 184 51 (43–58) 1269 333 (314–351) 849 752 (701–802) 523 808 (739–877) 121 445 (366–525)
2014 207 57 (49–65) 1252 326 (308–344) 869 737 (688–786) 528 800 (731–868) 131 466 (386–546)
2015 192 53 (45–60) 1329 343 (325–362) 948 773 (724–822) 578 861 (791–931) 117 403 (330–476)
2016 196 53 (46–61) 1397 358 (339–377) 1038 815 (765–864) 602 879 (809–950) 147 485 (407–564)
2017 202 54 (47–62) 1436 366 (347–385) 963 727 (681–773) 534 758 (694–822) 158 505 (426–583)
2018 199 52 (45–59) 1425 362 (343–381) 1043 760 (714–806) 589 808 (743–874) 156 484 (408–560)
2019 198 50 (43–57) 1490 378 (359–397) 1118 785 (739–831) 631 834 (769–899) 151 456 (383–529)
Males Females
Year Count Age-adjusted incidence (95% CI)—/Million AAPC (95% CI),
P-value
Count Age—standardized incidence (95% CI) -/Million AAPC (95% CI),
P-value
2007 1059 258 (242–273) 2.3
(1.0 to 3.6),
P < .01
974 209 (196–223) 2.1
(1.3 to 2.9),
P < .01
2008 1206 285 (269–301) 997 210 (197–223)
2009 1300 299 (283–315) 1100 226 (213–240)
2010 1365 303 (287–320) 1085 218 (205–231)
2011 1473 320 (304–337) 1218 238 (224–251)
2012 1548 329 (312–345) 1280 246 (232–260)
2013 1611 330 (314–346) 1335 250 (236–264)
2014 1622 324 (309–340) 1365 253 (240–267)
2015 1722 336 (320–352) 1442 261 (247–275)
2016 1921 364 (347–380) 1459 258 (245–275)
2017 1829 335 (319–350) 1464 257 (243–270)
2018 1912 339 (324–355) 1500 258 (245–272)
2019 1996 344 (329–359) 1592 268 (255–282)

Figure 1.

Figure 1.

Annual trends in incidence of spinal metastases by age group (A) and primary cancer type (B). Dots represent point estimates for a given year, with shaded regions representing 95% confidence intervals.

Lung cancer had the highest crude incidence of spinal metastasis among all primary cancers (Figure 1B). This remained consistent after age standardization to account for differences in age distribution (Table 3). Breast, prostate, and urological cancers demonstrated a significant increase in the incidence of spinal metastasis over the study period. However, prostate cancer demonstrated the greatest growth in incidence (AAPC 6.5; 95% CI: 4.1 to 9.0).

Table 3.

Number of Cases, Age-Standardized Annual Incidence, and Average Annual Percent Change (AAPC) in Incidence of Spine Metastases by Primary Cancer Type

Lung Breast Prostate
Year Count Age—standardized incidence (95% CI)/—Million AAPC (95% CI),
P-value
Count Age—standardized incidence (95% CI)—/Million AAPC (95% CI),
P-value
Count Age—standardized incidence (95% CI)—/Million AAPC (95% CI),
P-value
2007 626 71 (65–77) 0.7
(−0.6 to 2.1)
P = .25
302 34 (30–38) 4.4
(3.0 to 5.8)
P < .01
228 37 (32–42) 6.5
(4.1 to 9.0)
P < .01
2008 698 78 (72–84) 295 33 (29–37) 275 44 (38–49)
2009 692 94 (87–101) 361 40 (36–44) 320 50 (44–55)
2010 714 85 (79–91) 385 42 (38–46) 329 50 (45–55)
2011 805 85 (79–91) 385 41 (37–45) 375 56 (50–61)
2012 782 80 (75–86) 443 47 (42–51) 416 71 (65–78)
2013 796 80 (74–85) 479 50 (45–54) 434 72 (66–79)
2014 827 81 (75–87) 505 52 (47–56) 459 63 (57–68)
2015 825 88 (81–94) 519 52 (48–57) 522 70 (64–76)
2016 851 89 (83–95) 554 55 (50–60) 591 77 (71–83)
2017 800 74 (69–79) 560 55 (50–59) 561 73 (67–79)
2018 835 93 (87–100) 556 53 (49–57) 611 77 (71–83)
2019 899 87 (81–93) 614 58 (53–62) 693 85 (78–91)
Gastrointestinal Myeloma Urological
Year Count Age—standardized incidence (95% CI)—/Million AAPC (95% CI),
P-value
Count Age—standardized incidence (95% CI)—/Million AAPC (95% CI),
P-value
Count Age—standardized incidence (95% CI)—/Million AAPC (95% CI),
P-value
2007 172 22 (18–25) 1.8
(−0.2 to 3.8)
P = .08
192 24 (21–28) −0.3
(−1.8 to 1.3)
P = .72
146 21 (17–24) 2.9
(0.9 to 4.9)
P < .01
2008 195 22 (19–25) 197 24 (21–28) 139 17 (14–20)
2009 226 25 (22–28) 203 28 (24–31) 185 25 (21–29)
2010 205 22 (19–25) 206 27 (24–31) 199 24 (20–27)
2011 239 28 (25–32) 219 28 (25–32) 188 22 (19–25)
2012 249 26 (22–29) 261 29 (26–33) 187 21 (18–24)
2013 249 26 (22–29) 223 22 (19–25) 234 29 (25–33)
2014 250 28 (24–31) 260 28 (25–31) 191 23 (20–27)
2015 268 26 (23–29) 257 28 (24–31) 208 25 (22–29)
2016 277 27 (23–30) 244 23 (20–26) 278 29 (25–32)
2017 262 28 (24–31) 247 25 (22–28) 270 31 (27–35)
2018 280 26 (23–29) 272 27 (24–31) 250 25 (22–28)
2019 274 25 (22–28) 280 24 (21–27) 284 28 (25–31)

Incidence of Spinal Metastases Compared to Overall Incidence of Cancer

Trends in the incidence of spinal metastases were compared to trends in the overall incidence of new primary cancer diagnoses (Supplementary Table 5). The AAPC in the incidence of spinal metastases was significantly different than the overall incidence of new cancer diagnoses for lung cancer, breast cancer, prostate cancer, gastrointestinal cancer, and myeloma. We found a significant increase in the incidence of spinal metastases for prostate cancer patients (AAPC 6.5; 95% CI: 4.1 to 9.0) despite a significant decrease in the overall incidence of prostate cancer diagnoses over the study period (AAPC −3.7; 95% CI: −6.1 to −1.2). Similarly, we found a significant increase in the incidence of spinal metastases for breast cancer patients (AAPC 4.4; 95% CI: 3.0 to 5.8) despite no change in the background incidence of breast cancer diagnoses over the study period (AAPC 0.2; 95% CI: −0.6 to 0.9).

Timing of Metastases

There was a significant difference in the cumulative incidence of spine metastasis across primary cancer types (Figure 2A). Lung cancer patients exhibited the highest risk of spine metastasis at selected time points (Table 4). The cumulative incidence of spine metastasis for lung cancer patients was found to be 7.8% (95% CI: 7.7% to 8.0%) at 1 year, 9.9% (95% CI: 9.7% to 10.1%) at 5 years, and 10.3% (95% CI: 10.1% to 10.5%) at 10 years. Conversely, gastrointestinal cancer patients exhibited the lowest risk of spine metastasis at selected time points. The cumulative incidence of spine metastasis for gastrointestinal cancer patients at 1 year was 1.0% (95% CI: 0.9% to 1.0%), 2.0% (95% CI: 2.0% to 2.1%) at 5 years, and 2.6% (95% CI: 2.5% to 2.7%) at 10 years.

Figure 2.

Figure 2.

Cumulative incidence functions of (A) spinal metastasis and (B) the competing risk of death after cancer diagnosis. Shaded regions represent 95% confidence intervals.

Table 4.

Cumulative Incidence Point Estimates, and Person-Time Incidence Rate of Spine Metastasis by Primary Cancer Type

Years elapsed since primary cancer diagnosis Cumulative incidence percent (95% CI) Incidence rate per 1000 person-years
(95% CI)
Risk ratio
(95% CI)
Lung 1-year 7.8 (7.7–8.0) 54.3 (53.2–55.4) 10.3 (9.7–10.9)
5-year 9.9 (9.7–10.1)
10-year 10.3 (10.1–10.5)
Breast 1-year 1.5 (1.4–1.5) 7.1 (6.9–7.3) 1.4 (1.3–1.4)
5-year 3.8 (3.7–3.9)
10-year 5.4 (5.2–5.5)
Prostate 1-year 1.8 (1.7–1.9) 7.3 (7.1–7.5) 1.4 (1.3–1.5)
5-year 4.0 (3.9–4.1)
10-year 5.5 (5.4–5.7)
Gastrointestinal 1-year 1.0 (0.9–1.0) 5.3 (5.1–5.5) Reference
5-year 2.0 (2.0–2.1)
10-year 2.6 (2.5–2.7)
Myeloma 1-year 3.6 (3.4–3.7) 13.4 (12.9–13.9) 2.5 (2.4–2.7)
5-year 4.8 (4.6–4.9)
10-year 5.4 (5.2–5.6)
Urological 1-year 2.0 (1.9–2.1) 8.3 (8.0–8.7) 1.6 (1.5–1.7)
5-year 3.7 (3.6–3.9)
10-year 4.6 (4.4–4.8)

Estimating risk of spine metastasis through the person-time approach found similar relationships across primary cancer types with respect to risk of spine metastasis. Lung cancer had the highest incidence rate of spine metastasis (54.3 cases per 1000 person-years; 95% CI: 53.2 to 55.4), while gastrointestinal cancer had the lowest incidence rate of spine metastasis (5.3 cases per 1000 person-years; 95% CI: 5.1 to 5.5). Overall, the risk ratio of spine metastasis incidence rate between lung cancer and gastrointestinal cancer was 10.3 (95% CI: 9.7 to 10.9).

Discussion

In this population-based study, we examined trends in the incidence and timing of spine metastases from 2007 to 2019. We found the age-standardized incidence in spine metastases increased from 229 cases per million to 302 cases per million over the study period. We noted a 2.2% average annual percent increase in the age-standardized incidence, which remained consistent across male and female patients. The incidence grew fastest among older patients, with those above 85 years demonstrating the largest AAPC of 5.2%. Lung cancer patients had the largest age-standardized incidence per study year. However, prostate cancer patients had the greatest AAPC. Temporal trends in the incidence of spinal metastasis were significantly different than trends in the overall incidence of primary cancers. Lung cancer patients displayed the greatest risk of spinal metastasis after primary diagnosis. These data provide a contemporary benchmark for future health policy.3,32 Furthermore, findings have direct implications for resource allocation, health policy, and care coordination. The Ontario health system will need to prepare for a growing population of older patients with spinal metastasis, for which direct healthcare cost estimates are upwards of $554 323 USD per patient for the first 60 days of treatment.2 Moreover, our data suggest the need for close surveillance of lung cancer patients around the time of cancer diagnosis.

A systematic review conducted by Van Den Brande in 2022 surveyed available literature on the epidemiology of spinal metastases.33 The authors found 15 studies that reported on the epidemiology of spinal metastases from any primary tumor, of which only 6 were conducted within North America. The most recent of these 6 studies represented a 2-year cohort between 2012 and 2014.34 The longest cohort reflected data from 1995 to 2009.35 In our study, we report results on the epidemiology of spinal metastases over a recent 13-year period from 2007 to 2019, which provides a more contemporary longitudinal evaluation.

Three prior studies have described the annual incidence of spinal metastases. Zaikova et al report an annual incidence of 26.0 per 100 000 (260 per Million) between 2007 and 2008 within South-East Norway.36 Conversely, Choi et al. report an annual incidence of 6.68 per 100 000 (66.8 per Million) between 2008 and 2017 in South Korea.37 Similarly, Sohn et al. report an annual incidence between 6.04 and 6.83 per 100 000 (66.8 and 68.3 per Million) between 2009 and 2012 in South Korea.38 In our study, we estimated crude annual incidence as well as age-standardized annual incidence for accurate comparison across years. Between 2007 and 2019 we noted a significantly increasing age-standardized incidence from 22.9 per 100 000 (229 per Million) to 30.2 per 100 000 (302 per Million). We therefore found a comparable annual incidence to South-East Norway, and greater than South Korea.

A study by Hong et al. from 2002 to 2012 in Korea evaluated the time to bony metastasis for various primary solid tumors.39 They noted that lung cancer patients had the shortest mean time to bone metastasis (9.0 ± 15.2 months). Conversely, colorectal cancer patients had the longest mean time to bone metastasis (28.9 ± 25.5 months). The cumulative incidence function for time to metastases estimated in our study demonstrates that lung cancer had the highest risk of metastases whereas gastrointestinal cancers had the lowest. This finding was also corroborated through a person-time approach. We noted an RR of 10.3 (95% CI: 9.7 to 10.9) of spinal metastasis for lung cancer patients relative to gastrointestinal cancer patients.

Few studies have analyzed trends between years in the incidence and timing of spine metastasis. Sohn et al. found an increase in their estimated annual incidence between 2012 to 2014 from 6.04 per 100 000 to 6.83 per 100 000.38 A study by Mak et al. on cases in the United States from 1998 to 2006, reported a significant increase in hospitalization for malignant spinal cord compression at an annual rate of 6%–8%.40 Our study found a significant increase in the annual incidence of spine metastases, with an AAPC of 2.2% between 2007 and 2019. We further compared rates of change among patient subgroups and identified the highest growth rate among patients 85 years and older (AAPC 5.2%) and patients with prostate cancer (AAPC 6.4%). Prostate cancer patients may have demonstrated the largest growth due to advancements in systemic therapies developed during this time. Dendritic cell immunotherapy was developed between 2014 to 2017 and has been shown to improve overall survival in patients with prostate cancer.41

Our study has notable limitations. Misclassification bias may underestimate results, as data was collected retrospectively from administrative health databases. Alternatively, temporal trends may have been overestimated due to ascertainment bias related to more intensive investigations and improved electronic charting over the study period. Furthermore, no studies have validated the use of Ontario administrative health databases for the identification of patients with spinal metastases. However, a recent study of ICES databases including OCR and OHIP validated their use for identifying patients with metastatic gastric cancer, with some algorithms having a positive predictive value of 88.8%, sensitivity of 90.1%, and specificity of 92.5%.42 Finally, our study is limited to patients undergoing treatment for their disease, and therefore underestimates the true annual incidence of spinal metastasis, as palliative patients not receiving either radiotherapy or surgery would not be captured.

Conclusion

The annual incidence of spinal metastases increased between 2007 and 2019. Older patients were increasingly affected. Differences between cancer patients were apparent in both the incidence and timing of spinal metastasis. Our findings provide insights into the evolving landscape of spinal metastatic disease within the context of the Canadian healthcare system, and provide a benchmark for future health policy. We emphasize the need to prepare for a growing elderly population of patients needing multidisciplinary subspecialty care.

Supplementary Material

vdae051_suppl_Supplementary_Tables_S1-S5_Figure_S1

Acknowledgment

This study contracted ICES Data & Analytic Services (DAS) and used de-identified data from the ICES Data Repository, which is managed by ICES with support from its funders and partners: Canada’s Strategy for Patient-Oriented Research (SPOR), the Ontario SPOR Support Unit, the Canadian Institutes of Health Research, and the Government of Ontario. This study was supported through provision of data by ICES and Cancer Care Ontario (CCO) and through funding support to ICES from an annual grant by the Ministry of Health (MOH) and the Ontario Institute for Cancer Research (OICR). The opinions, results, and conclusions reported in this paper are those of the authors. No endorsement by ICES or any of its funders or partners is intended or should be inferred. Parts of this material are based on data and/or information compiled and provided by CIHI. However, the analyses, conclusions, opinions, and statements expressed in the material are those of the author(s), and not necessarily those of CIHI. Parts of this material are based on data and information compiled and provided by the Ontario Ministry of Health. The analyses, conclusions, opinions, and statements expressed herein are solely those of the authors and do not reflect those of the funding or data sources; no endorsement is intended or should be inferred. Parts of this material are based on data and information provided by Ontario Health (OH). The opinions, results, views, and conclusions reported in this paper are those of the authors and do not necessarily reflect those of OH. No endorsement by OH is intended or should be inferred. We thank Refik Saskin and Eliane Kim for their technical and methodological support in using ICES data.

Contributor Information

Husain Shakil, Division of Neurosurgery, Department of Surgery, University of Toronto, Toronto, Ontario, Canada; Institute of Health Policy Management and Evaluation, University of Toronto, Toronto, Ontario, Canada; Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Toronto, Ontario, Canada.

Armaan K Malhotra, Division of Neurosurgery, Department of Surgery, University of Toronto, Toronto, Ontario, Canada; Institute of Health Policy Management and Evaluation, University of Toronto, Toronto, Ontario, Canada; Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Toronto, Ontario, Canada.

Jetan H Badhiwala, Division of Neurosurgery, Department of Surgery, University of Toronto, Toronto, Ontario, Canada.

Vishwathsen Karthikeyan, Division of Neurosurgery, Department of Surgery, University of Toronto, Toronto, Ontario, Canada.

Ahmad Essa, Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel; Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Toronto, Ontario, Canada.

Yingshi He, Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Toronto, Ontario, Canada.

Michael G Fehlings, Division of Neurosurgery, Department of Surgery, University of Toronto, Toronto, Ontario, Canada; Krembil Research Institute, Toronto Western Hospital, Toronto, Ontario, Canada.

Arjun Sahgal, Department of Radiation Oncology, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.

Nicolas Dea, Neurosurgical and Orthopedic Spine Program, Vancouver General Hospital, University of British Columbia, Vancouver, British Columbia, Canada.

Alex Kiss, Institute of Health Policy Management and Evaluation, University of Toronto, Toronto, Ontario, Canada; ICES, Toronto, Ontario, Canada.

Christopher D Witiw, Division of Neurosurgery, Department of Surgery, University of Toronto, Toronto, Ontario, Canada; Institute of Health Policy Management and Evaluation, University of Toronto, Toronto, Ontario, Canada; Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Toronto, Ontario, Canada.

Donald A Redelmeier, Institute of Health Policy Management and Evaluation, University of Toronto, Toronto, Ontario, Canada; ICES, Toronto, Ontario, Canada; Department of Medicine, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.

Jefferson R Wilson, Division of Neurosurgery, Department of Surgery, University of Toronto, Toronto, Ontario, Canada; Institute of Health Policy Management and Evaluation, University of Toronto, Toronto, Ontario, Canada; Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Toronto, Ontario, Canada.

Funding

This research received support from the Canadian Institutes of Health Research, the Unity Health Labatt Chari in Neurosurgery, and the University of Toronto Temerty Faculty of Medicine. The study was conducted using data sets stored at the ICES, which is funded through an annual grant from the Ontario Ministry of Health and Long-Term Care (MOHLTC).

Conflict of interest statement

No authors reported conflicts of interest related to this study. Outside of this study, AS has been a consultant for Varian, Elekta (Gamma Knife Icon), BrainLAB, Merck, Abbvie, and Roche; Vice President of the International Stereotactic Radiosurgery Society (ISRS); Co-Chair of the AO Spine Knowledge Forum Tumor; received honorarium for past educational seminars for AstraZeneca, Elekta AB, Varian, BrainLAB, Accuray, Seagen Inc.; research grant with Elekta AB, Varian, Seagen Inc., BrainLAB; and travel accommodations/expenses with Elekta, Varian, and BrainLAB. AS also belongs to the Elekta MR Linac Research Consortium and is a Clinical Steering Committee Member, and chairs the Elekta Oligometastases Group and the Elekta

Gamma Knife Icon Group outside of this study. ND reported personal feeds from Stryker, Medtronic, Cerapedics, and Baxter outside the submitted work. ND is a stockholder of Medtronic and received fellowship support from Medtronic, AOSpine, and JJ/Synthes outside the submitted work. CDW reported grants from Cerapedics and personal fees from Stryker outside the submitted work. DAR reported research support from a Canada Research Chair in Medical Decision Sciences, the Canadian Institutes of Health Research, the PSI Foundation of Ontario, and the Kimel-Schatzky Traumatic Brain Injury Research Fund outside the submitted work. JRW reported personal fees from Stryker Canada outside the submitted work.

Authorship statement

H.S. Study design, data analysis, manuscript preparation, and revisions. A.K.M. Data analysis and manuscript revision. J.H.B. Manuscript preparation and revision. V.K. Manuscript preparation and revision. A.E. Manuscript revision. Y.H. Manuscript preparation and revision. M.G.F. Manuscript preparation and revision. A.S. Manuscript preparation and revision. N.D. Manuscript preparation and revision. A.K. Study design, data analysis, manuscript preparation, and revision. C.D.W. Study design, data analysis, manuscript preparation, and revision. D.A.R. Study design, data analysis, manuscript preparation, and revision. J.R.W. Study design, data analysis, manuscript preparation, and revision.

Data availability

The dataset from this study is held securely in coded form at the Institute for Clinical Evaluative Sciences (ICES). While data sharing agreements prohibit ICES from making the dataset publicly available, access may be granted to those who meet prespecified criteria for confidential access, available at www.ices.on.ca/DAS. The full dataset creation plan and underlying analytic code are available from the authors upon request, understanding that the computer programs may rely upon coding templates or macros that are unique to ICES and are therefore either inaccessible or may require modification.

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Associated Data

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

Supplementary Materials

vdae051_suppl_Supplementary_Tables_S1-S5_Figure_S1

Data Availability Statement

The dataset from this study is held securely in coded form at the Institute for Clinical Evaluative Sciences (ICES). While data sharing agreements prohibit ICES from making the dataset publicly available, access may be granted to those who meet prespecified criteria for confidential access, available at www.ices.on.ca/DAS. The full dataset creation plan and underlying analytic code are available from the authors upon request, understanding that the computer programs may rely upon coding templates or macros that are unique to ICES and are therefore either inaccessible or may require modification.


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