Background: Some epidemiologic and laboratory studies have suggested that total joint arthroplasty could increase the risk of cancer. In this meta-analysis, we attempt to clarify the association of joint arthroplasty with subsequent cancer incidence.

Methods: We identified population-based studies reporting standardized incidence ratios (SIR) for cancer following large joint arthroplasty. After summing the observed and expected numbers of cases across all qualifying studies, we calculated SIRs for all cancers, and for those at 28 anatomic sites. Latency analysis involving 175,166 patients characterized short-term and long-term cancer associations.

Results: The analyses included 1,435,356 person-years of follow-up and 20,045 cases of cancer. Overall cancer risk among patients with arthroplasty was equal to that for the general population. The relative risk of lung cancer, reduced in the first 5 years after arthroplasty, increased significantly over time to approach that of the general population. Risks for all sites in the luminal gastrointestinal tract were significantly reduced by 10% to 20%; with relative risks that were generally stable over time. Increased risks were seen for cancer of the prostate (SIR, 1.12; 95% confidence interval, 1.08-1.16); similar relative risks were seen in each time period after the procedure. For melanoma, relative risks increased with follow-up to a SIR of 1.43 (95% confidence interval, 1.13-1.79) for 10 or more years after arthroplasty. There was a similar delayed emergence of increased risks for cancers of the urinary tract and oropharynx. The relative risk for bone cancer decreased with time after the procedure.

Conclusions: There does not seem to be an overall increased risk of cancer following total joint arthroplasty. Although the risks of prostate cancer and melanoma seem to be elevated, there is no obvious mechanism for these associations. Reductions in risk for some malignancies may not be causal. (Cancer Epidemiol Biomarkers Prev 2006;15(8):1532–7)

Total joint arthroplasty (TJA) of the hip and knee rank among the most commonly done major surgical procedures in the U.S. and Europe (1). As arthroplasties are done earlier in life, and the patients receiving them are, in general, living longer, joint prostheses have increasing residence times in situ (2). Many of the materials in joint prostheses (and in the debris particles) are known or suspected to be carcinogenic, including chromium, beryllium, nickel, zinc, titanium, and polymethylmethacrylate (3-9). In addition to local effects at the site of implantation, corrosion and wear of implants may lead to systemic distribution of metallic alloy, synthetic polymer, or ceramic matter (10, 11). Indeed, case reports have suggested associations of joint prostheses with adjacent soft tissue or bone sarcomas (12, 13), and some epidemiologic studies have associated TJA with an increased risk of specific malignancies (14, 15).

Early epidemiologic studies suggested an increased risk of hematopoietic cancers following TJA of the hip or knee (16, 17). Although the majority of subsequent studies have not confirmed this association (14, 18-24), excess risks of melanoma, multiple myeloma, lymphoma, and cancer of the prostate and bladder have been reported in some studies (15, 25), as well as a reduced risk of stomach cancer (14, 23). A recent meta-analysis investigated site-specific cancer risk among Nordic cohorts and found reductions in risk of several cancers and elevations in a few others (26). However, this analysis did not consider the patterns of cancer occurrence over time, and so did not take into account the latency associated with the effects of most cancer risk factors (26). Because most cancers are thought to require years or decades to develop, associations that emerge very soon after the surgery may well reflect the characteristics and previous exposures of the patients who have TJA, rather than the effects of the procedure itself. In contrast, those that emerge later are more likely to reflect the effect of the arthroplasty.

To investigate the possibility of delayed effects of TJA (or overall effects at uncommon cancer sites), we combined data from seven primary studies to provide overall and time-specific summary estimates of relative risk. We also conducted separate analyses for total hip replacement, total knee replacement, as well as analyses stratified by gender.

We attempted to identify all published articles containing quantitative population-based data on TJA and cancer through MEDLINE database searches and review of references. We searched the database for articles published between January 1966 and to October 2004, using the keywords, “joint, arthroplasty, joint prosthesis, total knee replacement, total hip replacement, and cancer, neoplasm, hematopoietic, tumor, or sarcoma.” We also scanned previous reviews and the bibliographies of candidate articles to widen our search. The search revealed 15 articles, which were independently reviewed by the authors to determine eligibility for the meta-analysis (14-28). Studies were included if they ascertained essentially all total hip arthroplasties (THA) or total knee arthroplasties (TKA) in a population, and reported site-specific cancer standardized incidence ratios (SIR) compared with the corresponding general population, or the data needed to calculate those values. We required the data to take into account the age and sex structure of the population by applying age- and sex-adjusted population rates in the computations of the expected numbers of cases.

Six studies were excluded for the following reasons: (a) patient population partially included in a subsequently published larger study (14, 21, 24), (b) arthroplasty on a joint(s) other than the hip or knee (27), (c) meta-analysis (26, 28). For latency analyses, we included only studies from which we were able to obtain data corresponding to latency periods of 1 to 4 years, 5 to 9 years, and >10 years of follow-up. In total, data from >242,000 hip and knee arthroplasties were included in our analyses of cancer risk by site, and >175,000 for the latency analyses (Table 1).

Table 1.

Characteristics of studies included in the meta-analysis

StudyTotalMenWomenPerson-yearsPeriod of arthroplastyEnd of follow-up periodMean follow-up time, years per patient
THA        
    (15) 116,727 45,249 71,478 693,954 1965-1994 1995 6.9 
    (23) 31,651 11,591 20,060 199,996 1980-1995 1995 6.4 
    (22) 22,997 10,574 12,423 180,000 1977-1989 1993 6.9 
    (18) 1,358 Not given Not given 14,286 1966-1973 1983 10.5 
    (17) 433 164 279 5,729 1967-1973 1981 9.6 
TKA        
    (20) 10,120 3,184 6,936 40,000 1975-1989 1989 4.0 
    (22) 4,771 1,262 3,509 31,000 1977-1989 1993 5.3 
    (25) 9,444 2,001 7,443 51,756 1980-1995 1996 5.5 
    (18) 30,011 9,629 20,382 122,616 1980-1984 1995 4.3 
StudyTotalMenWomenPerson-yearsPeriod of arthroplastyEnd of follow-up periodMean follow-up time, years per patient
THA        
    (15) 116,727 45,249 71,478 693,954 1965-1994 1995 6.9 
    (23) 31,651 11,591 20,060 199,996 1980-1995 1995 6.4 
    (22) 22,997 10,574 12,423 180,000 1977-1989 1993 6.9 
    (18) 1,358 Not given Not given 14,286 1966-1973 1983 10.5 
    (17) 433 164 279 5,729 1967-1973 1981 9.6 
TKA        
    (20) 10,120 3,184 6,936 40,000 1975-1989 1989 4.0 
    (22) 4,771 1,262 3,509 31,000 1977-1989 1993 5.3 
    (25) 9,444 2,001 7,443 51,756 1980-1995 1996 5.5 
    (18) 30,011 9,629 20,382 122,616 1980-1984 1995 4.3 

Statistical Methods

We abstracted the observed and expected number of cancer cases by cancer site (or groups of sites) from the articles included. If the number of expected cases was not reported, we calculated those values by dividing the number of observed cases by the reported SIR. Pooling available data by cancer site, we compiled the number of observed and expected cases separately. SIRs were calculated by dividing the number of observed cases by the number expected; 95% confidence intervals (CI) were calculated for each SIR assuming a Poisson distribution of the number of observed cases. When the observed number of cases was <1,000, we used tabulated values of 95% confidence limits to estimate the CIs (29), whereas a standard approximation calculation was used with >1,000 observations (30).

Across studies, some cancer sites were reported with differing nomenclature, or grouped with related anatomic or physiologic sites. To address these inconsistencies, we used International Classification of Disease codes (ICD-7) when available, and did analyses on a general anatomic or physiologic category when necessary (e.g., “hepatobiliary” for liver, gallbladder, and bile duct). Also, we contacted authors to clarify ambiguities, classifications, and in some instances, to receive additional data.

Separate analyses were done to assess risks by gender, and after THA and TKA. SIRs were compared between male and female populations using a two-sample z test based on the gender-specific SIRs and their SEs. Data were insufficient to compare unilateral versus bilateral TJA, TJA for rheumatoid arthritis versus that for osteoarthritis, or metal-on-metal prostheses versus those containing synthetic polymers.

We did a latency analysis over three time periods for all sites containing at least five observations in two or more time periods of observation. Only cancer of the uterus other than the corpus, and testicular cancer were excluded based on this criterion. Poisson regression was used to test the hypothesis of no trend over the three time periods after surgery (1-4, 5-9, and 10 or more years), with an offset equal to the total person-years during the time period.

In addition to the approach described above, we also aggregated studies using the conventional Cochrane paradigm of meta-analysis (http://www.cochrane.org/). That is, we weighted studies by the inverse of the square of the reported SE, and tested for heterogeneity using Cochrane's Q as well as calculating I2, which is now used by Cochrane Reviews, and measures the percentage of variation across all studies due to heterogeneity rather than chance (31). When heterogeneity was evident, we calculated SIRs using random effects models (32). These methods yielded SIR estimates that were very similar to those calculated using the approach described above and are not presented.

A total of 173,166 patients who had received hip replacements and 58,777 patients who had knee replacements were included in the analyses. Together, they generated 1,365,959 person-years of follow-up and 20,045 cases of cancer. In the studies that reported the relevant data, 63% of TJA patients were female (145,865 women and 84,730 men). Four studies that provided data which permitted the computation of SIRs by gender included a combined follow-up of 1,094,191 person-years, 70,974 arthroplasties and 5,862 cancers for men, and 118,173 arthroplasties and 6,493 cancers for women. The mean age at surgery was 69.7 years, with only minimal differences between men and women. Latency data were available from five studies that included 192,976 arthroplasty patients (15, 18, 19, 22, 23, 25), 1,293,608 person-years of observation, and 15,178 cancers.

The combined data yielded an overall cancer SIR of 0.98 (95% CI, 0.96-0.99) (Table 2). Risk for all cancers combined was not significantly different than expected within any latency period (Table 2). However, there was a modest but highly statistically significant positive trend across the three periods, with the SIR after 10+ years of follow-up equal to 1.02 (95% CI, 0.98-1.06).

Table 2.

Overall postarthroplasty cancer risk and trend in cancer risk over three latency periods

Studies
Overall (n = 9)
1-4 years (n = 5)
5-9 years (n = 5)
10+ years (n = 5)
P value for trend
Primary cancer siteObservedSIR (95% CI)ObservedSIR (95% CI)ObservedSIR (95% CI)ObservedSIR (95% CI)
Total (all sites) 20,045 0.98 (0.96-0.99) 7,188 0.97 (0.96-1.00) 5,262 1.02 (0.99-1.05) 2,728 1.02 (0.98-1.06) 0.0033 
Upper aerodigestive tract          
    Mouth, pharynx 356 0.99 (0.89-1.10) 111 0.98 (0.81-1.18) 83 0.96 (0.77-1.20) 60 1.32 (1.02-1.72) 0.0085 
    Esophagus 149 0.81 (0.68-0.95) 60 0.99 (0.76-1.29) 31 0.65 (0.44-0.93) 17 0.79 (0.46-1.27) 0.1003 
Gastrointestinal tract          
    Stomach 737 0.82 (0.76-0.88) 297 0.83 (0.74-0.93) 225 0.82 (0.71-0.93) 101 0.75 (0.62-0.92) 0.2177 
    Colon 1,618 0.91 (0.87-0.96) 614 0.90 (0.83-0.98) 524 0.94 (0.86-1.03) 261 0.93 (0.82-1.05) 0.2912 
    Rectum 895 0.90 (0.84-0.96) 355 0.91 (0.82-1.01) 276 0.89 (0.79-1.01) 146 0.96 (0.81-1.13) 0.3745 
    Hepatobiliary 508 1.00 (0.91-1.09) 170 0.98 (0.84-1.14) 133 0.99 (0.83-1.18) 65 0.90 (0.70-1.16) 0.3264 
    Pancreas 649 0.96 (0.89-1.04) 187 0.92 (0.79-1.06) 154 0.96 (0.82-1.13) 73 0.86 (0.68-1.09) 0.3936 
Respiratory tract          
    Lung 1,369 0.78 (0.74-0.82) 429 0.77 (0.70-0.84) 333 0.83 (0.75-0.93) 175 0.95 (0.82-1.11) 0.0110 
    Larynx 32 0.62 (0.43-0.88) 0.65 (0.21-1.52) 0.74 (0.24-1.73) 0.66 (0.08-2.38) 0.4721 
Reproductive tract          
    Breast 2,247 0.98 (0.94-1.02) 684 0.95 (0.88-1.02) 498 0.94 (0.86-1.02) 307 1.08 (0.96-1.21) 0.0681 
    Cervix 149 0.98 (0.84-1.16) 55 1.05 (0.79-1.37) 31 0.88 (0.60-1.25) 14 0.81 (0.44-1.36) 0.1685 
    Corpus Uterus 455 1.00 (0.91-1.10) 180 1.06 (0.92-1.23) 110 0.89 (0.73-1.07) 47 0.73 (0.54-0.97) 0.0057 
    Ovary 407 1.02 (0.93-1.13) 150 1.11 (0.94-1.31) 75 0.79 (0.63-1.00) 46 0.98 (0.72-1.31) 0.0778 
    Prostate 3,009 1.12 (1.08-1.16) 1,175 1.13 (1.07-1.19) 954 1.18 (1.10-1.25) 468 1.10 (1.01-1.21) 0.4602 
Urinary tract          
    Kidney 553 1.05 (0.96-1.14) 182 1.07 (0.93-1.24) 137 1.07 (0.90-1.27) 78 1.22 (0.97-1.53) 0.2266 
    Bladder, ureters 1,031 1.02 (0.96-1.09) 282 0.97 (0.86-1.09) 261 1.13 (1.00-1.28) 146 1.15 (0.98-1.36) 0.0256 
Skin          
    Malignant melanoma 470 1.18 (1.08-1.29) 137 1.04 (0.87-1.23) 106 1.06 (0.87-1.29) 77 1.43 (1.13-1.79) 0.0401 
    Nonmelanoma 1,540 1.06 (1.00-1.11) 318 1.15 (1.03-1.29) 248 1.00 (0.88-1.13) 179 1.12 (0.96-1.30) 0.2643 
Brain 371 1.03 (0.93-1.14) 151 1.11 (0.95-1.31) 91 0.90 (0.73-1.12) 33 0.83 (0.57-1.17) 0.0314 
Thyroid 92 0.91 (0.74-1.12) 29 0.78 (0.52-1.12) 28 1.02 (0.68-1.48) 16 1.33 (0.76-2.15) 0.0582 
Bone/Connective tissue 117 0.99 (0.82-1.19) 53 1.10 (0.83-1.45) 29 0.88 (0.59-1.26) 13 0.37 (0.20-0.63) 0.0000 
Hematologic          
    All hematopoietic 1,510 0.98 (0.93-1.03) 417 0.95 (0.86-1.05) 348 1.01 (0.91-1.12) 162 0.87 (0.74-1.02) 0.2389 
    Lymphoma 639 1.00 (0.93-1.08) 241 1.00 (0.88-1.14) 181 1.02 (0.88-1.18) 73 0.81 (0.64-1.02) 0.0778 
    Multiple myeloma 333 1.08 (0.97-1.20) 121 1.03 (0.86-1.23) 100 1.20 (0.98-1.46) 49 1.19 (0.88-1.57) 0.1401 
    All leukemia 434 0.95 (0.86-1.04) 145 0.89 (0.75-1.05) 110 0.96 (0.79-1.16) 45 0.79 (0.57-1.05) 0.3156 
    Leukemia or lymphoma 817 0.94 (0.87-1.00) 66 0.89 (0.69-1.14) 74 0.94 (0.74-1.18) 28 0.64 (0.42-0.93) 0.0778 
Studies
Overall (n = 9)
1-4 years (n = 5)
5-9 years (n = 5)
10+ years (n = 5)
P value for trend
Primary cancer siteObservedSIR (95% CI)ObservedSIR (95% CI)ObservedSIR (95% CI)ObservedSIR (95% CI)
Total (all sites) 20,045 0.98 (0.96-0.99) 7,188 0.97 (0.96-1.00) 5,262 1.02 (0.99-1.05) 2,728 1.02 (0.98-1.06) 0.0033 
Upper aerodigestive tract          
    Mouth, pharynx 356 0.99 (0.89-1.10) 111 0.98 (0.81-1.18) 83 0.96 (0.77-1.20) 60 1.32 (1.02-1.72) 0.0085 
    Esophagus 149 0.81 (0.68-0.95) 60 0.99 (0.76-1.29) 31 0.65 (0.44-0.93) 17 0.79 (0.46-1.27) 0.1003 
Gastrointestinal tract          
    Stomach 737 0.82 (0.76-0.88) 297 0.83 (0.74-0.93) 225 0.82 (0.71-0.93) 101 0.75 (0.62-0.92) 0.2177 
    Colon 1,618 0.91 (0.87-0.96) 614 0.90 (0.83-0.98) 524 0.94 (0.86-1.03) 261 0.93 (0.82-1.05) 0.2912 
    Rectum 895 0.90 (0.84-0.96) 355 0.91 (0.82-1.01) 276 0.89 (0.79-1.01) 146 0.96 (0.81-1.13) 0.3745 
    Hepatobiliary 508 1.00 (0.91-1.09) 170 0.98 (0.84-1.14) 133 0.99 (0.83-1.18) 65 0.90 (0.70-1.16) 0.3264 
    Pancreas 649 0.96 (0.89-1.04) 187 0.92 (0.79-1.06) 154 0.96 (0.82-1.13) 73 0.86 (0.68-1.09) 0.3936 
Respiratory tract          
    Lung 1,369 0.78 (0.74-0.82) 429 0.77 (0.70-0.84) 333 0.83 (0.75-0.93) 175 0.95 (0.82-1.11) 0.0110 
    Larynx 32 0.62 (0.43-0.88) 0.65 (0.21-1.52) 0.74 (0.24-1.73) 0.66 (0.08-2.38) 0.4721 
Reproductive tract          
    Breast 2,247 0.98 (0.94-1.02) 684 0.95 (0.88-1.02) 498 0.94 (0.86-1.02) 307 1.08 (0.96-1.21) 0.0681 
    Cervix 149 0.98 (0.84-1.16) 55 1.05 (0.79-1.37) 31 0.88 (0.60-1.25) 14 0.81 (0.44-1.36) 0.1685 
    Corpus Uterus 455 1.00 (0.91-1.10) 180 1.06 (0.92-1.23) 110 0.89 (0.73-1.07) 47 0.73 (0.54-0.97) 0.0057 
    Ovary 407 1.02 (0.93-1.13) 150 1.11 (0.94-1.31) 75 0.79 (0.63-1.00) 46 0.98 (0.72-1.31) 0.0778 
    Prostate 3,009 1.12 (1.08-1.16) 1,175 1.13 (1.07-1.19) 954 1.18 (1.10-1.25) 468 1.10 (1.01-1.21) 0.4602 
Urinary tract          
    Kidney 553 1.05 (0.96-1.14) 182 1.07 (0.93-1.24) 137 1.07 (0.90-1.27) 78 1.22 (0.97-1.53) 0.2266 
    Bladder, ureters 1,031 1.02 (0.96-1.09) 282 0.97 (0.86-1.09) 261 1.13 (1.00-1.28) 146 1.15 (0.98-1.36) 0.0256 
Skin          
    Malignant melanoma 470 1.18 (1.08-1.29) 137 1.04 (0.87-1.23) 106 1.06 (0.87-1.29) 77 1.43 (1.13-1.79) 0.0401 
    Nonmelanoma 1,540 1.06 (1.00-1.11) 318 1.15 (1.03-1.29) 248 1.00 (0.88-1.13) 179 1.12 (0.96-1.30) 0.2643 
Brain 371 1.03 (0.93-1.14) 151 1.11 (0.95-1.31) 91 0.90 (0.73-1.12) 33 0.83 (0.57-1.17) 0.0314 
Thyroid 92 0.91 (0.74-1.12) 29 0.78 (0.52-1.12) 28 1.02 (0.68-1.48) 16 1.33 (0.76-2.15) 0.0582 
Bone/Connective tissue 117 0.99 (0.82-1.19) 53 1.10 (0.83-1.45) 29 0.88 (0.59-1.26) 13 0.37 (0.20-0.63) 0.0000 
Hematologic          
    All hematopoietic 1,510 0.98 (0.93-1.03) 417 0.95 (0.86-1.05) 348 1.01 (0.91-1.12) 162 0.87 (0.74-1.02) 0.2389 
    Lymphoma 639 1.00 (0.93-1.08) 241 1.00 (0.88-1.14) 181 1.02 (0.88-1.18) 73 0.81 (0.64-1.02) 0.0778 
    Multiple myeloma 333 1.08 (0.97-1.20) 121 1.03 (0.86-1.23) 100 1.20 (0.98-1.46) 49 1.19 (0.88-1.57) 0.1401 
    All leukemia 434 0.95 (0.86-1.04) 145 0.89 (0.75-1.05) 110 0.96 (0.79-1.16) 45 0.79 (0.57-1.05) 0.3156 
    Leukemia or lymphoma 817 0.94 (0.87-1.00) 66 0.89 (0.69-1.14) 74 0.94 (0.74-1.18) 28 0.64 (0.42-0.93) 0.0778 

Overall, there were apparent reductions in the risk of several malignancies. The most prominent were for three smoking-related cancers: lung cancer (overall SIR, 0.78; 95% CI, 0.74-0.82), cancer of the esophagus (overall SIR, 0.81; 95% CI, 0.68-0.95), and cancer of the larynx (overall SIR, 0.62; 95% CI, 0.43-0.88; Table 2). For lung cancer, there were trends of increasing SIRs over time, such that by 10 or more years after TJA, risks were similar to those for the general population. However, for cancer of the larynx, the low SIRs were present in each of the time periods post-TJA. Cancer of the mouth and pharynx showed a significantly increasing trend across time, rising to a SIR of 1.32 (95% CI, 1.02-1.72) 10 or more years after TJA (Table 2).

In the luminal gastrointestinal tract, cancer risks were significantly reduced following TJA; the SIRs were ∼0.81 for cancers of the stomach, and ∼0.90 for cancers of the colon and rectum (Table 2). These low SIRs were seen soon after TJA, and were more or less stable over follow-up (Table 2).

Risk of prostate cancer was increased after TJA (overall SIR, 1.12; 95% CI, 1.08-1.16); this modest increase was present during the first few years after the procedure, and did not vary substantially with follow-up (Table 2). There was also an increased risk of melanoma, but here the relative risks steadily increased with follow-up, to a SIR of 1.43 (95% CI, 1.13-1.79) 10+ years after TJA (P for trend = 0.04). Risks of bladder/ureter cancer also tended to increase over time to a SIR ∼1.2 (Table 2).

For endometrial cancer, there were decreasing relative risks such that 10 or more years after TJA, the SIR was 0.73 (95% CI, 0.54-0.97; P for trend = 0.006; Table 2). Risks of bone/connective tissue cancer also decreased with time, to a SIR of 0.37 (95% CI, 0.20-0.63; P for trend < 0.0001) for 10+ years after surgery.

Patterns were broadly similar after THA and TKA (Table 3). However, in contrast to THR, there was an increased risk of cancer of the corpus uterus after TKA (SIR, 1.40; 95% CI, 1.09-1.81), as well as an increased risk of all hematopoietic cancers combined (SIR, 1.16; 95% CI, 1.03-1.29) and lymphomas (SIR, 1.20; 95% CI, 1.01-1.42). No latency data were available for TKA or THR separately, so the time patterns of these associations could not be assessed.

Table 3.

Postarthroplasty cancer risk for hip and knee prostheses

Primary cancer siteHip joint prostheses
Knee joint prostheses
ObservedSIR (95% CI)ObservedSIR (95% CI)
Total (all sites) 15,896 0.98 (0.96-0.99) 3,827 0.97 (0.94-1.00) 
Upper aerodigestive tract     
    Mouth, pharynx 282 1.00 (0.89-1.13) 51 0.94 (0.70-1.24) 
    Esophagus 130 0.81 (0.68-0.97) 0.75 (0.34-1.43) 
Gastrointestinal tract     
    Stomach 585 0.79 (0.73-0.86) 145 0.85 (0.72-1.00) 
    Colon 1,278 0.91 (0.86-0.96) 306 0.88 (0.78-0.98) 
    Rectum 714 0.90 (0.84-0.97) 160 0.84 (0.72-0.99) 
    Hepatobiliary 430 1.00 (0.91-1.10) 69 0.94 (0.73-1.19) 
    Pancreas 491 0.93 (0.85-1.01) 144 1.04 (0.88-1.23) 
Respiratory tract     
    Lung 1,159 0.82 (0.77-0.86) 207 0.70 (0.60-0.80) 
    Larynx 31 0.70 (0.47-0.99) 0.30 (0.01-1.69) 
Reproductive tract     
    Breast 1,715 0.97 (0.92-1.01) 554 1.04 (0.96-1.13) 
    Cervix 127 0.95 (0.79-1.13) 14 0.97 (0.53-1.62) 
    Corpus Uterus 380 1.00 (0.91-1.11) 64 1.40 (1.09-1.81) 
    Ovary 332 1.08 (0.96-1.20) 70 0.89 (0.70-1.13) 
    Prostate 2,231 1.13 (1.09-1.18) 475 1.17 (1.07-1.29) 
Urinary tract     
    Kidney 458 1.06 (0.96-1.16) 88 1.03 (0.83-1.28) 
    Bladder, ureters 865 1.03 (0.96-1.10) 139 0.98 (0.82-1.16) 
Skin     
    Malignant melanoma 387 1.20 (1.08-1.32) 78 1.19 (0.95-1.49) 
    Nonmelanoma 1,234 1.06 (1.00-1.12) 331 0.98 (0.88-1.10) 
    Brain 286 1.02 (0.91-1.15) 97 1.21 (0.99-1.48) 
    Thyroid 75 0.87 (0.69-1.10) 13 0.71 (0.38-1.21) 
    Bone/connective tissue 90 0.96 (0.78-1.20) 28 1.15 (0.76-1.66) 
Hematologic     
    All hematopoietic 1,114 1.00 (0.94-1.06) 306 1.16 (1.03-1.29) 
    Lymphoma 483 0.98 (0.89-1.07) 142 1.20 (1.01-1.42) 
    Multiple myeloma 260 1.07 (0.95-1.21) 70 1.15 (0.90-1.46) 
    All leukemia 348 0.96 (0.86-1.06) 94 1.10 (0.89-1.35) 
    Leukemia or lymphoma 530 0.91 (0.84-1.00) 210 1.07 (0.93-1.23) 
Primary cancer siteHip joint prostheses
Knee joint prostheses
ObservedSIR (95% CI)ObservedSIR (95% CI)
Total (all sites) 15,896 0.98 (0.96-0.99) 3,827 0.97 (0.94-1.00) 
Upper aerodigestive tract     
    Mouth, pharynx 282 1.00 (0.89-1.13) 51 0.94 (0.70-1.24) 
    Esophagus 130 0.81 (0.68-0.97) 0.75 (0.34-1.43) 
Gastrointestinal tract     
    Stomach 585 0.79 (0.73-0.86) 145 0.85 (0.72-1.00) 
    Colon 1,278 0.91 (0.86-0.96) 306 0.88 (0.78-0.98) 
    Rectum 714 0.90 (0.84-0.97) 160 0.84 (0.72-0.99) 
    Hepatobiliary 430 1.00 (0.91-1.10) 69 0.94 (0.73-1.19) 
    Pancreas 491 0.93 (0.85-1.01) 144 1.04 (0.88-1.23) 
Respiratory tract     
    Lung 1,159 0.82 (0.77-0.86) 207 0.70 (0.60-0.80) 
    Larynx 31 0.70 (0.47-0.99) 0.30 (0.01-1.69) 
Reproductive tract     
    Breast 1,715 0.97 (0.92-1.01) 554 1.04 (0.96-1.13) 
    Cervix 127 0.95 (0.79-1.13) 14 0.97 (0.53-1.62) 
    Corpus Uterus 380 1.00 (0.91-1.11) 64 1.40 (1.09-1.81) 
    Ovary 332 1.08 (0.96-1.20) 70 0.89 (0.70-1.13) 
    Prostate 2,231 1.13 (1.09-1.18) 475 1.17 (1.07-1.29) 
Urinary tract     
    Kidney 458 1.06 (0.96-1.16) 88 1.03 (0.83-1.28) 
    Bladder, ureters 865 1.03 (0.96-1.10) 139 0.98 (0.82-1.16) 
Skin     
    Malignant melanoma 387 1.20 (1.08-1.32) 78 1.19 (0.95-1.49) 
    Nonmelanoma 1,234 1.06 (1.00-1.12) 331 0.98 (0.88-1.10) 
    Brain 286 1.02 (0.91-1.15) 97 1.21 (0.99-1.48) 
    Thyroid 75 0.87 (0.69-1.10) 13 0.71 (0.38-1.21) 
    Bone/connective tissue 90 0.96 (0.78-1.20) 28 1.15 (0.76-1.66) 
Hematologic     
    All hematopoietic 1,114 1.00 (0.94-1.06) 306 1.16 (1.03-1.29) 
    Lymphoma 483 0.98 (0.89-1.07) 142 1.20 (1.01-1.42) 
    Multiple myeloma 260 1.07 (0.95-1.21) 70 1.15 (0.90-1.46) 
    All leukemia 348 0.96 (0.86-1.06) 94 1.10 (0.89-1.35) 
    Leukemia or lymphoma 530 0.91 (0.84-1.00) 210 1.07 (0.93-1.23) 

The SIR for all cancers in men (1.01; 95% CI, 0.99-1.04) was similar to that in women (0.99; 95% CI, 0.97-1.02; Table 4). However, for several cancers of the aerodigestive tract (oropharynx, esophagus, and lung) and urinary tract (kidney and bladder), the SIRs tended to be lower among men than among women. The differences were statistically significant for cancers of the lung and bladder. The decreased risk for colon cancer was specific to women, whereas that for the rectum was specific to men (Table 4). For women, the risk for non–melanoma skin cancer was elevated (SIR, 1.21; 95% CI, 1.09-1.34).

Table 4.

Postarthroplasty cancer risk by gender

Primary cancer siteMen
Women
P for interaction
ObservedSIR (95% CI)ObservedSIR (95% CI)
Total (all sites) 5,862 1.01 (0.99-1.04) 6,493 0.99 (0.97-1.02) 0.26 
Upper aerodigestive tract      
    Mouth, pharynx 120 0.97 (0.81-1.16) 105 1.12 (0.92-1.36) 0.28 
    Esophagus 45 0.77 (0.56-1.03) 35 0.94 (0.66-1.31) 0.38 
Gastrointestinal tract      
    Stomach 303 0.83 (0.74-0.93) 240 0.77 (0.67-0.87) 0.39 
    Colon 593 0.98 (0.90-1.06) 793 0.88 (0.82-0.95) 0.05 
    Rectum 340 0.84 (0.76-0.94) 398 0.95 (0.86-1.05) 0.09 
    Hepatobiliary 108 1.03 (0.85-1.25) 196 0.98 (0.85-1.13) 0.68 
    Pancreas 152 1.03 (0.87-1.21) 227 0.98 (0.86-1.12) 0.64 
Lung 422 0.83 (0.75-0.91) 262 0.98 (0.87-1.11) 0.03 
Urinary tract      
    Kidney 143 0.99 (0.84-1.17) 193 1.28 (1.11-1.48) 0.02 
    Bladder, ureters 409 1.01 (0.92-1.11) 206 1.16 (1.01-1.34) 0.10 
Skin      
    Malignant melanoma 143 1.21 (1.03-1.43) 162 1.09 (0.93-1.28) 0.36 
    Nonmelanoma 308 0.99 (0.88-1.10) 359 1.21 (1.09-1.34) 0.01 
    Brain 89 1.09 (0.88-1.35) 137 1.06 (0.89-1.26) 0.84 
    Thyroid 0.52 (0.24-0.99) 55 0.92 (0.70-1.21) 0.13 
Hematologic      
    Lymphoma 185 1.02 (0.88-1.18) 207 0.95 (0.82-1.09) 0.49 
    Multiple myeloma 106 1.14 (0.94-1.38) 119 1.08 (0.90-1.30) 0.68 
    All leukemia 114 0.86 (0.71-1.04) 153 1.05 (0.90-1.24) 0.11 
Primary cancer siteMen
Women
P for interaction
ObservedSIR (95% CI)ObservedSIR (95% CI)
Total (all sites) 5,862 1.01 (0.99-1.04) 6,493 0.99 (0.97-1.02) 0.26 
Upper aerodigestive tract      
    Mouth, pharynx 120 0.97 (0.81-1.16) 105 1.12 (0.92-1.36) 0.28 
    Esophagus 45 0.77 (0.56-1.03) 35 0.94 (0.66-1.31) 0.38 
Gastrointestinal tract      
    Stomach 303 0.83 (0.74-0.93) 240 0.77 (0.67-0.87) 0.39 
    Colon 593 0.98 (0.90-1.06) 793 0.88 (0.82-0.95) 0.05 
    Rectum 340 0.84 (0.76-0.94) 398 0.95 (0.86-1.05) 0.09 
    Hepatobiliary 108 1.03 (0.85-1.25) 196 0.98 (0.85-1.13) 0.68 
    Pancreas 152 1.03 (0.87-1.21) 227 0.98 (0.86-1.12) 0.64 
Lung 422 0.83 (0.75-0.91) 262 0.98 (0.87-1.11) 0.03 
Urinary tract      
    Kidney 143 0.99 (0.84-1.17) 193 1.28 (1.11-1.48) 0.02 
    Bladder, ureters 409 1.01 (0.92-1.11) 206 1.16 (1.01-1.34) 0.10 
Skin      
    Malignant melanoma 143 1.21 (1.03-1.43) 162 1.09 (0.93-1.28) 0.36 
    Nonmelanoma 308 0.99 (0.88-1.10) 359 1.21 (1.09-1.34) 0.01 
    Brain 89 1.09 (0.88-1.35) 137 1.06 (0.89-1.26) 0.84 
    Thyroid 0.52 (0.24-0.99) 55 0.92 (0.70-1.21) 0.13 
Hematologic      
    Lymphoma 185 1.02 (0.88-1.18) 207 0.95 (0.82-1.09) 0.49 
    Multiple myeloma 106 1.14 (0.94-1.38) 119 1.08 (0.90-1.30) 0.68 
    All leukemia 114 0.86 (0.71-1.04) 153 1.05 (0.90-1.24) 0.11 

Tests for heterogeneity among the studies included in the SIR estimates showed a high degree of consistency for most cancers, and all three approaches of SIR estimation yielded similar results. Cochrane's Q test statistics suggested that the study-specific SIR's for most cancers were relatively homogenous (P > 0.05). The exceptions were cancers of the lung and oropharynx, with Cochrane's Q test P values of 0.02 and 0.00, respectively. I2 values indicated a low proportion (<40%) of variance due to heterogeneity in cancer risk across almost all cancer sites (data not shown). However, for lung, oropharynx, and all hematopoietic (combined) cancers, 82%, 62%, and 48%, respectively, of the variation among studies was ascribed to heterogeneity. The results of these tests of heterogeneity suggest that SIR estimates in our meta-analysis are reasonably reliable for most sites, but confidence in the lung, oropharynx, and combined hematopoietic cancer SIR estimates may be lower.

In this large meta-analysis, we found that overall cancer risk after THA or TKA is comparable to that in the general population. However, we found an early and persistent excess risk of prostate cancer after TJA, and an increased risk of melanoma that became evident 10 years postarthroplasty. There were beneficial associations for lung and laryngeal cancers as well as for luminal gastrointestinal tract cancers. For several of these, the risk reductions were most apparent soon after the procedure, and became less marked over time. The relative risk for cancers of the endometrium and bone were reduced after a latency of 10 years. With a few exceptions, overall patterns of cancer risk were broadly similar for hip and knee replacements. Differences in risk patterns between men and women were notable for cancers of the lung, skin, and urinary tract.

Total cancer incidence was not statistically different from expectations in any of the time periods included in the latency analysis, but there was a statistically significant trend of increasing risks over time. The trend was modest, and a likely explanation is the waning of an initial decrease in risk related to the selection of healthy patients. The effects of patient selection may also explain the gender differences in SIRs that we observed for some smoking-related cancers. Because in the age groups at risk for TJA, men smoke more than women (33), the corresponding selection effects will also be greater for men.

The increased risks of prostate cancer and melanoma after TJA are not as easily dismissed. Chromium, which is found in some metallic implants, has been shown to induce prostatic tumors in rats (34), but this association has not been clearly seen in epidemiologic studies (35-39). Latency for metal-associated cancers is typically long, at least for occupational exposures (40), so the fact that an increased prostate cancer risk was seen within the first 5 years after the procedure suggests that the excess risk is probably not due to the prosthesis. A more likely explanation for the association is increased surveillance among arthroplasty patients, leading to higher detection rates in this population.

There is also no clear explanation for the trend of significantly increasing risks of melanoma over time. Others have suggested the possibility of heightened physician surveillance after arthroplasty or greater sun exposure in outdoor (and hence physical) occupations, thus being associated with increased osteoarthritis (17, 21). With the assumption that men work outdoors more than women, the latter explanation is consistent with our finding that the increased melanoma risk occurred only in males. However, one would expect these factors to diminish over time, not to increase as would be needed to explain an increasing SIR. Furthermore, there is no concomitant increase in non–melanoma skin cancer risk, as would be expected with a sun-related etiology. Physician surveillance even less plausibly applies to cancer of the mouth and pharynx; other than chance, there is no ready explanation for the delayed increased risk after TJA.

We found risk for cancer of the kidney to be increased beginning 10 years post-TJA, and for bladder cancer as early as 5 to 9 years after the procedure. Urinary excretion of metals provides a possible mechanism for these site-specific cancers (41-43), although there may not be a relationship between urinary output of metals and markers of chromosomal damage (44).

Previous reports linking TJA with increased risk of bone/connective tissue cancers were not corroborated in our overall analysis. Case studies, along with laboratory data, have implicated prosthetic joint materials in local cellular effects that can lead to bone or connective tissue cancers (12, 13, 45). One study in our meta-analysis showed an increase of these cancers in relation to TJA (18), but this excess was based on only three cases. In our pooled data, with 117 cases of bone and connective tissue cancer, there was no significant overall association, and long-term follow-up showed decreased risks after TJA.

Patients with osteoarthritis of the knee tend to be more overweight than those with osteoarthritis of the hip (46, 47). Because high body weight is a strong risk factor for endometrial cancer (48, 49), these patterns may explain the increased risk of that malignancy after TKA but not THA. However, there is no obvious mechanism to explain the decreasing risk over time after TJA. Increased activity after the procedure might plausibly decrease body weight, but that would be expected to decrease risk only to an average level, not below it.

Some laboratory studies have suggested a link between prosthetic biomaterials and risk of hematopoietic and lymphatic neoplasms (6), and several individual studies have found elevated SIRs for multiple myeloma (15), lymphoma (25), leukemia and lymphoma (24), or hematopoietic and lymphatic cancers in general after TJA. In individual studies, chance may account for these associations because different malignancies were identified in each study. Our meta-analysis does not support an association with hematopoietic cancers in general, although multiple myeloma showed a borderline significant, but consistent, increased risk beginning 5 years after TJA. Given the large number of associations examined in this report, it is quite possible that this is a chance finding.

There were decreased risks of several cancers after TJA. Some authors have speculated that the decreased risk of lung cancer after TJA may be attributed to a link between greater physical activity and lower lung cancer incidence or to a possible connection between postarthroplasty antibiotic use and lower incidence due to eradication of Chlamydia pneumoniae infection (26). Risk reduction could conceivably be due to reduced inflammation and less oxidative stress following TJA. However, it seems unlikely that these effects could act so rapidly that a marked reduction in risk of lung cancer could emerge as early as a few years after the procedure. Rather, the early emergence of the reduced risk suggests that it reflects the characteristics of those who undergo the procedure, in particular, the selection of healthy, non–smoking individuals for surgery. This selection bias may account for the observed risk reduction for lung cancer in men, but not in women, although further examination of this apparent difference is needed. The modest reductions in colon and stomach cancer risk we found have been previously noted (16, 20, 22, 23, 26) and explained by the high use of nonsteroidal antiinflammatory drugs in this patient population or (for stomach cancer) by the eradication of Helicobacter pylori in the stomach by postoperative antibiotics after TJA (23, 26). Our trend analysis is consistent with the former because the risk reductions for these gastrointestinal cancers were observed soon after TJA. It is not clear if the prophylactic antibiotics used after TJA would successfully eradicate H. pylori, and if so, whether the effect would be seen so soon after the procedure. Indeed, one study found little difference in the level of H. pylori antibodies between THA and control patients (50).

This meta-analysis has the advantage of using data from several large studies, each of which were able to assess TJA done on entire populations and follow-up subjects through high-quality cancer registries. Thus, the associations we observed are likely to reflect those that hold for TJA in general, rather than for a selection of patients.

However, several limitations were inherent in our study. Some TJA patients in our analysis probably had advanced rheumatoid arthritis, which is known to be associated with elevated risks of non–Hodgkins lymphoma and leukemia (51-55). At least two groups have reported an increased risk of lymphoma in rheumatoid arthritis after TJA, and the consistent elevation over latency periods suggests a link to the underlying disease, rather than to the arthroplastic intervention (20, 23). Also, heterogeneity among studies may limit the reliability of the pooled estimates for cancers of the lung and oropharynx. Furthermore, some findings in our latency analysis may be due, at least in part, to variability created by small numbers of subjects observed for various intervals. Finally, because we analyzed 28 specific cancer sites, some of the associations we observed are likely to have been due to chance.

This meta-analysis, which included all data available to date with site-specific cancer risk following TJA, was generally reassuring regarding cancer risk following the procedures. Reductions in risk for specific cancers can largely be explained by biases of various sorts, as can most of the findings of increased risk. Nonetheless, although the delayed increases in risk for melanoma and cancers of the urinary tract and oropharynx are likely to be the result of chance or bias, further long-term data would be welcome.

The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.

We thank Drs. Eero Pukkala and Pekka Paavolainen for their generous provision of original data to our analyses; Drs. Lisa Signorello, Tuomo Visuri, John Fryzek, Bill Gillespie, Pelle Gustafson, and Håkan Olsson for responding to our queries and discussing their work, as we brought this meta-analysis to completion.

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