Literature DB >> 35633829

Vasectomy and Risk of Prostate Cancer: A Systematic Review and Meta-analysis.

Michael Baboudjian1,2,3,4, Pawel Rajwa5,6, Eric Barret7, Jean-Baptiste Beauval3,4, Laurent Brureau8, Gilles Créhange9, Charles Dariane10, Gaëlle Fiard11, Gaëlle Fromont12, Mathieu Gauthé13, Romain Mathieu14, Raphaële Renard-Penna15, Guilhem Roubaud16, Alain Ruffion17,18, Paul Sargos19, Morgan Rouprêt20, Guillaume Ploussard3,4,21.   

Abstract

Context: Previous reports have shown an association between vasectomy and prostate cancer (PCa). However, there exist significant discrepancies between studies and systematic reviews due to a lack of strong causal association and residual confounding factors such as prostate-specific antigen (PSA) screening. Objective: To assess the association between vasectomy and PCa, in both unadjusted and PSA screen-adjusted studies. Evidence acquisition: We performed a systematic review according to the Preferred Reporting Items for Systematic Reviews and Meta-analyses. The PubMed, Scopus, and Web of Science databases were searched in January 2022 for studies that analyzed the association between vasectomy and PCa. Evidence synthesis: A total of 37 studies including 16 931 805 patients met our inclusion criteria. A pooled analysis from all studies showed a significant association between vasectomy and any-grade PCa (odds ratio [OR] 1.23; 95% confidence interval [CI], 1.10-1.37; p < 0.001; I2 = 96%), localized PCa (OR 1.08; 95% CI, 1.06-1.11; p < 0.00001; I2 = 31%), or advanced PCa (OR 1.07; 95% CI, 1.02-1.13; p = 0.006; I2 = 0%). The association with PCa remained significant when the analyses were restricted to studies with a low risk of bias (OR 1.06; 95% CI, 1.02-1.10; p = 0.02; I2 = 48%) or cohort studies (OR 1.09; 95% CI, 1.04-1.13; p < 0.0001; I2 = 64%). Among studies adjusted for PSA screening, the association with localized PCa (OR 1.06; 95% CI, 1.03-1.09; p < 0.001; I2 = 0%) remained significant. Conversely, vasectomy was no longer associated with localized high-grade (p = 0.19), advanced (p = 0.22), and lethal (p = 0.42) PCa. Conclusions: Our meta-analysis found an association between vasectomy and any, mainly localized, PCa. However, the effect estimates of the association were increasingly close to null when examining studies of robust design and high quality. On exploratory analyses including studies, which adjusted for PSA screening, the association for aggressive and/or advanced PCa diminished. Patient summary: In this study, we found an association between vasectomy and the risk of developing localized prostate cancer without being able to determine whether the procedure leads to a higher prostate cancer incidence.
© 2022 The Author(s).

Entities:  

Keywords:  Advanced; Localized; Meta-analysis; Prostate cancer; Vasectomy

Year:  2022        PMID: 35633829      PMCID: PMC9130083          DOI: 10.1016/j.euros.2022.04.012

Source DB:  PubMed          Journal:  Eur Urol Open Sci        ISSN: 2666-1683


Introduction

Vasectomy is the fourth most common method of contraception with increasing interest among men over the past decade. Worldwide, approximately 6–8% of couples choose this method of contraception [1]. Vasectomy is the most effective permanent male contraceptive option with failure rates <1% [2]. The high level of effectiveness and low complication rates made vasectomy the foremost utilized nondiagnostic operation performed by urologists in highly developed countries [3]. Since the first report of a positive relationship between vasectomy and prostate cancer (PCa) [4], there has been an endless debate about possible associations with conflicting results. These discrepancies are due to the paucity of documented causal associations, and possible detection biases related to PCa screening and closer follow-up among vasectomy patients, and modest clinical significance with a relative risk very often close to 1. Recently, several large, high-quality reports demonstrated conflicting results [5], [6], [7], [8], [9]. A recent meta-analysis that included the most recent reports found that vasectomy was associated with localized and advanced PCa [10]. However, outcomes by disease stage were not adjusted by prostate-specific antigen (PSA) screening. Given the potential confounding effect of follow-up PSA screening, to best inform our patients on the oncological risks associated with vasectomy, the PCa Oncology Committee of the French Association of Urology conducted a systematic review of the literature and performed a meta-analysis, with a particular focus on whether there is an association between vasectomy and PCa, in both unadjusted and PSA screening–adjusted studies.

Evidence acquisition

Protocol and registration

We conducted a systematic review in line with the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines [11]. A protocol was registered in PROSPERO (registration number: CRD42022303026).

Search strategy

A literature search was conducted until January 2022 in PubMed/Medline, Scopus, and Web of Science databases. Studies were selected if they included men of any age (patient) who underwent vasectomy (intervention) compared with those who did not undergo vasectomy (comparator). We analyzed any subsequent diagnosis of PCa (outcome) in prospective and retrospective studies (study design). The search strategy used the combination of the following terms grouped according to the Boolean operators (AND, OR, and NOT): vasectomy, deferentectomy, vasoligation, vasoligature, prostate, prostatic, neoplasm, tumor, and cancer. Initial screening was performed independently by two investigators based on the titles and abstracts of the article to identify ineligible reports (M.B. and P.R.). Reasons for exclusion were noted. Potentially relevant reports were subjected to a full-text review, and the relevance of the reports was confirmed after the data extraction process. Disagreements were resolved by consultation with a third coauthor (G.P.).

Inclusion and exclusion criteria

We included prospective and retrospective studies, which analyzed over 1000 patients, that compared the risk of developing PCa in vasectomized and nonvasectomized patients. No patient had a personal history of PCa at baseline. In case of duplicate publications, either the higher-quality or the most recent publication was selected. Reviews, meta-analyses, commentaries, meeting abstracts, authors’ replies, thesis, and case reports were excluded, but the reference section was checked not to omit relevant articles. Case series lacking comparator groups were also excluded. No restriction on the publication date was applied. Only English-language articles were assessed for eligibility.

Data Extraction

Two authors (M.B. and P.R.) performed an independent initial screening based on the titles and abstracts, and noted the cause of exclusion of ineligible reports. Studies were considered eligible if these reported an effect estimate for an association between vasectomy and any PCa incidence (detection). We independently extracted the following variables from the included studies: first author’s name, publication year, country of research, study design, period of patient recruitment, number of patients included, PSA screening, duration of follow-up, PCa detection, tumor characteristics, and potential confounders. We extracted odds ratios (ORs) with 95% confidence intervals (CIs) for the risk of developing PCa in vasectomized versus nonvasectomized patients. The primary outcome was a diagnosis of any PCa. Secondary outcomes included the diagnosis of PCa stratified by disease stages: localized PCa, localized high-grade PCa, advanced PCa, and fatal PCa. No single consensus criterion was used to define high-grade and advanced PCa, and we used the definitions reported in each included study. All discrepancies regarding data extraction were resolved by consensus with a senior author (G.P.).

Quality assessment and risk of bias

We used the Newcastle-Ottawa Scale (NOS) to assess studies’ quality and the risk of bias (RoB). This scale assesses RoB in three areas: study group selection, group comparability, and exposure and outcome assessment. Studies that scored ≥7 were considered of high quality, and those with scores 4–6 were of moderate quality and scores <4 of poor quality. We considered the follow-up adequate if the median or mean follow-up was >5 yr. We assessed publication biases using funnel plots.

Statistical analysis

We used the inverse variance technique to calculate the pooled ORs for PCa risk and corresponding 95% CIs. We assessed heterogeneity using the Q test and quantified it using I2 values [12]. We used either a fixed- or a random-effect model for calculations of ORs according to the heterogeneity of the pooled studies. We assessed heterogeneity using the Cochrane’s Q test and quantified it using I2 values. In the case of heterogeneity (Cochrane’s Q test p < 0.05 and I2 > 50%), we used a random-effect model (DerSimonian method) and attempted to investigate and explain the heterogeneity; otherwise, the fixed-effect model (Mantel-Haenszel method) was used. Meta-analyses and graph figures were generated using the Cochrane Review Manager 5.4 (RevMan 5.4; The Cochrane Centre, Copenhagen, Denmark). Statistical significance was set at p < 0.05.

Subgroup analysis

Subgroup analyses were planned a priori. First, we evaluated the outcomes in subgroups of patients who were submitted to PSA screening versus those in patients in whom PSA screening was not performed or was very uncommon. Second, we examined studies according to publication year (1990–2000, 2001–2010, and 2011–2021). Third, we limited our analyses to studies identified as having a low RoB. Fourth, we evaluated the series according to study design (cohort vs cross sectional vs case control). Finally, we compared cohort studies with a follow-up of <10 versus >10 yr.

Evidence synthesis

Study selection

The study selection process is outlined in the PRISMA flow diagram (Fig. 1). A total of 466 unique records were identified. Of these, 70 full-text articles were assessed for eligibility and 37 met the inclusion criteria for qualitative and quantitative analysis [4], [6], [7], [8], [9], [13], [14], [15], [16], [17], [18], [19], [20], [21], [22], [23], [24], [25], [26], [27], [28], [29], [30], [31], [32], [33], [34], [35], [36], [37], [38], [39], [40], [41], [42], [43], [44]. The reasons for exclusion are summarized in Figure 1.
Fig. 1

Screening process. HR = hazard ratio; OR = odds ratio; RR = relative risk.

Screening process. HR = hazard ratio; OR = odds ratio; RR = relative risk.

Study characteristics

The baseline characteristics of the included studies are presented in Table 1. A total of 16 931 805 patients were included from 17 cohort studies (n = 4 789 366), two cross-sectional studies (n = 12 096 679), and 18 case-control studies (n = 45 760 participants). The included studies were published between 1990 and 2020, with 25 reports from North America, six from Europa, three from Asia, two from Oceania, and one from South America. Among cohort studies, follow-up varied from 4.6 to 24.8 yr and in total 80 739 patients (1.7% of all) developed PCa. The risk-adjustment approach varied considerably across studies: three were unadjusted for confounders, nine were adjusted for age, and 25 were adjusted for age and at least one other factor, including PSA screening in seven studies.
Table 1

Study characteristics

StudyCountry of researchStudy periodStudy designNumber of patients includedVasectomy procedures, n (%)Follow-up, mean or medianPCa cases, n (%)
Smith (2017) [14]Europe1992–2000Cohort study84 75312 712 (15)15.4 yr4377 (5.2)
Davenport (2019) [7]USA1995–2011Cohort study16 057148 657 (30.3)18 yr13 885 (8.6)
Eisenberg (2015) [16]USA2001–2009Cohort study873 485112 655 (12.9)NA4905 (0.6)
Giovannucci (1993) [19], [20]USA1976–1989Cohort study25 34013 034 (51.4)11 yr96 (0.4)
Goldacre (2005) [21]Europe1963–1999Cohort study184 25324 773 (13.4)12.7 yr656 (0.4)
Hiatt (1994) [23]USA1979–1985Cohort study43 432NA4.6 yr238 (0.6)
Husby (2020) [8]Europe1977–2014Cohort study2 150 162139 550 (6.5)24.8 yr26 238 (1.2)
Jacobs (2016) [25]USA1982–2012Cohort study363 726 for PCa mortality42 015 (11.6) for PCa mortality21.4 yr for PCa mortality9133 (13.7)
66 542 for other outcomes10 589 (15.9) for other outcomes12.9 yr for other outcomes
Lynge (2002) [29]Europe1977–1995Cohort study57 93157 931 (100)12.7 yr46 (0.1)
Nayan (2016) [31]Canada1994–2012Cohort study653 214326 607 (50)10.9 yr3462 (0.5)
Rohrmann (2005) [34]USA1989–2004Cohort study3373918 (27.2)8.3 yr78 (2.3)
Seikkula (2020) [9]Europe1987–2014Cohort study38 12438 124 (100)11.1 yr413 (1.1)
Shoag (2017) [6]USA1993–2009Cohort study36 2369933 (27.4)13 yr3867 (10.7)
PLCO control group
Shoag (2017) [6]USA1993–2009Cohort study37 35910  032 (26.9)13 yr4344 (11.9)
PLCO screening group
Siddiqui (2014) [38]USA1986–2010Cohort study49 40512 321 (24.9)24 yr6023 (12.2)
Tangen (2016) [41]USA1994–2003Cohort study80522644 (32.8)7 yr558 (6.9)
van Leeuwen (2011) [42]Europe1993–2008Cohort study19 9505141 (25.8)11.1 yr2420 (12.1)
Alqahtani (2015) [13]USA2007–2011Cross-sectional study12 000 7180.03% (exact number not reported)NA642 383
DeAntoni (1997) [17]USA1993–1995Cross-sectional study95 96126 632 (27.8)NA766
Cox (2002) [15]New Zealand1996–1998Case-control study2147549 (25.6)NA923
Emard (2001) [18]Canada1984–1993Case-control study6349110 (1.7)NA2962
Hayes (1993) [22]USA1986–1989Case-control study2257139 (6.2)NA965
Hennis (2013) [44]Barbados2002–2011Case-control study19041.5% of cases, 0.7% of controls (exact number not reported)NA963
Holt (2008) [24]USA2002–2005Case-control study194336% (exact number not recorded)NA1001
John (1995) [26]USA/Canada1987–1991Case-control study3278336 (10.3)NA1642
Lesko (1999) [27]USA1992–1996Case-control study2616414 (15.8)NA1216
Lightfoot (2004) [28]Canada1995–1999Case-control study2354449 (19.1)NA1608
Mettlin (1990) [4]USA1982–1988Case-control study3202154 (4.8)NA614
Nair-Shalliker (2017) [30]Australia2006–2014Case-control study2056NANA1181
Patel (2005) [32]USA1996–1998Case-control study1304164 (12.6)NA700
Platz (1997) [33]India1993–1994Case-control study1153100 (8.7)NA175
Romero (2012) [35]Brazil2006–2011Case-control study2121259 (12.2)NA58
Rosenberg (1994) [36]USA1977–1992Case-control study7580468 (6.2)NA553
Schwingl (2009) [37]China/Nepal/Korea1994–1997Case-control study1173120 (10.2)NA294
Stanford (1999) [39]USA1993–1996Case-control study1456562 (38.6)NA753
Sunny (2005) [40]India1998–2000Case-control study1170136 (11.6)NA390
Weinmann (2010) [43]USA1974–2000Case-control study1697101 (6)NANA

NA = not available; PCa = prostate cancer.

Study characteristics NA = not available; PCa = prostate cancer.

Risk of bias

Quality and RoB assessments are summarized in Supplementary Table 1. Fourteen studies (37.8%) were assessed as having a low RoB, 20 (54.1%) as having an intermediate risk, and three (8.1%) as having a high RoB. The shape of the funnel plots was symmetric for all analyses (Supplementary Figs. 1 and 2) and only a few studies were identified over the pseudo–95% CI, indicating a low to moderate publication bias.

Vasectomy and any-grade cancer

The risk of PCa in vasectomized patients is presented in Figure 2. Results were first stratified by study design and then pooled. There was a significant association between vasectomy and PCa among cohort studies (OR 1.09; 95% CI, 1.04–1.13; p = 0.0003; I2 = 64%) and case-control studies (OR 1.23; 95% CI, 1.07–1.40; p < 0.00001; I2 = 96%), while the association was not significant among cross-sectional studies (OR 2.22; 95% CI, 0.53–9.29; p < 0.00001; I2 = 99%). A pooled analysis from all studies showed a significant association between vasectomy and any PCa (OR 1.23; 95% CI, 1.10–1.37; p = 0.0002; I2 = 96%). The Cochrane’s Q and I2 tests showed significant heterogeneity in all analyses. A sensitivity analysis was performed to assess the influence of individual studies on the overall risk of PCa. After excluding any study that did not substantially influence the direction and magnitude of the cumulative estimates, we obtained similar results.
Fig. 2

Forest plots for meta-analyses of the adjusted estimates for the association between vasectomy and prostate cancer by study design. Data were pooled separately by study design. As significant heterogeneity (I2 > 50%) was found, a pooled estimate was calculated with a random-effect model (DerSimonian and Laird method). CI = confidence interval; df = degrees of freedom; IV = inverse variance; SE = standard error.

Forest plots for meta-analyses of the adjusted estimates for the association between vasectomy and prostate cancer by study design. Data were pooled separately by study design. As significant heterogeneity (I2 > 50%) was found, a pooled estimate was calculated with a random-effect model (DerSimonian and Laird method). CI = confidence interval; df = degrees of freedom; IV = inverse variance; SE = standard error.

Vasectomy and PCa stratified by disease stage

The association between vasectomy and localized, localized high-grade, advanced, and fatal PCa was investigated through the analyses of ten, eight, 13, and nine studies, respectively (Fig. 3). A significant association was found with localized PCa (OR 1.08; 95% CI, 1.06–1.11; p < 0.00001; I2 = 31%) and advanced PCa (OR 1.07; 95% CI, 1.02–1.13; p = 0.006; I2 = 0%). There was no significant association between vasectomy and localized high-grade PCa (OR 1.04; 95% CI, 0.98–1.10; p = 0.20; I2 = 23%) and PCa mortality (OR 1.01; 95% CI, 0.95–1.08; p = 0.68; I2 = 18%). The Cochrane’s Q and I2 tests did not show any heterogeneity in all pooled analyses.
Fig. 3

Forest plots showing the relation between vasectomy and prostate cancer by disease stage. Data were pooled separately by disease stage. As no significant heterogeneity (I2 < 50%) was found, a pooled estimate was calculated with the fixed-effect model (Mantel-Haenszel method). CI = confidence interval; df = degrees of freedom; IV = inverse variance; SE = standard error.

Forest plots showing the relation between vasectomy and prostate cancer by disease stage. Data were pooled separately by disease stage. As no significant heterogeneity (I2 < 50%) was found, a pooled estimate was calculated with the fixed-effect model (Mantel-Haenszel method). CI = confidence interval; df = degrees of freedom; IV = inverse variance; SE = standard error.

Outcomes in PSA screening–adjusted studies

Seven studies reported an adjusted risk of PCa with PSA screening (five cohort and two case-control studies, n = 353 602). The pooled ORs remained significant for any (OR 1.06; 95% CI, 1.03–1.08; p < 0.0001; I2 = 10%) and localized (OR 1.06; 95% CI, 1.03–1.09; p = 0.0005; I2 = 0%) PCa. Conversely, there was a lack of association between vasectomy and localized high-grade (p = 0.19), advanced (p = 0.22), and fatal (p = 0.42) PCa (Table 2). The Cochrane’s Q and I2 tests did not show any heterogeneity in all pooled analyses. Indeed, the increase in any PCa risk decreased from 23% when all studies were considered to 9% when the analysis was limited to cohort studies, and to 6% for studies with a low RoB.
Table 2

Association between vasectomy and prostate cancer in studies adjusted with PSA screening

AnalysisNumber of studiesNumber of patientsRR (95% CI)p valueI2 (%)
All prostate cancer6353 5121.06 (1.03–1.08)<0.000110
Localized prostate cancer3276 5181.06 (1.03–1.09)0.00050
Localized high-grade prostate cancer5350 1131.05 (0.99–1.11)0.1935
Advanced prostate cancer5350 1131.05 (0.97–1.13)0.2236
Fatal prostate cancer6351 8101.03 (0.96–1.10)0.4233

CI = confidence interval; PSA = prostate-specific antigen; RR = relative risk.

Association between vasectomy and prostate cancer in studies adjusted with PSA screening CI = confidence interval; PSA = prostate-specific antigen; RR = relative risk.

Subgroup analyses

Restricting the analyses to studies published <10 yr ago, there was a significant association between vasectomy and any type of PCa (Table 3). The association remained significant when we restricted our analysis to studies with high quality (OR 1.06; 95% CI, 1.02–1.10; p = 0.02; I2 = 48%) or cohort studies (OR 1.09; 95% CI, 1.04–1.13; p = 0.0003; I2 = 64%). Among cohort studies, the association between vasectomy and PCa was significant only in studies with a mean/median follow-up duration of longer than 10 yr (OR 1.07; 95% CI, 1.04–1.11; p = 0.009; I2 = 56%). The Cochrane’s Q and I2 tests showed significant heterogeneity in all pooled analyses, except for high-quality studies.
Table 3

Subgroup analysis of the association between vasectomy and prostate cancer

AnalysisNumber of studiesNumber of patientsRR (95% CI)p valueI2 (%)
Publication year
 1990–200010186 2751.20 (1.03–1.41)0.00168
 2001–201010261 9971.22 (1–1.49)<0.00174
 2011–20211516 186 3491.23 (1.04–1.44)<0.00198
Risk of bias
 Low143 279 6831.06 (1.02–1.10)0.0248
 Intermediate/high2113 354 9381.39 (1.07–1.80)<0.00197
Study design
 Cohort study164 472 2321.09 (1.04–1.13)0.000364
 Cross-sectional and case-control studies1912 162 3891.36 (0.98–1.89)<0.00197
Follow-up (yr)
 <10354 8571.21 (0.79–1.85)0.0373
 >10123 543 8901.07 (1.04–1.11)0.00956

CI = confidence interval; PSA = prostate-specific antigen; RR = relative risk.

Subgroup analysis of the association between vasectomy and prostate cancer CI = confidence interval; PSA = prostate-specific antigen; RR = relative risk.

Discussion

In this systematic review and meta-analysis, we found that vasectomy was significantly associated with a low risk of developing PCa. This association remained after restriction of our analyses to high-quality and cohort studies. However, the effect estimates of the association between vasectomy and PCa were increasingly closer to the null when analyzing studies with robust study design and study quality. Indeed, the increase in PCa risk fell from 23% when all studies were considered to 9% when the analysis was limited to cohort studies and to 6% for high-quality studies. It is questionable whether such low statistical significance may have a true clinical impact and whether it should influence vasectomy decision-making. It has been suggested that an individual cancer risk assessment could be considered before vasectomy, depending on other risk factors such as Afro-Caribbean origin or a family history of PCa [45]. Nevertheless, a statistically significant association is different from causation. Some preclinical studies have tried to explain the association [46], [47]. Possible explanations for the increased risk of PCa in vasectomized individuals include a decrease in prostatic secretory volume resulting in prolonged exposure to certain carcinogens, an increase in circulating androgens or in the binding capacity of androgen-binding proteins, development of antisemen antibodies that can affect immunological processes, and reduced levels of certain molecules in seminal plasma, such as IGF-1 and IGFBP3, known to be involved in prostate carcinogenesis. However, these molecular mechanisms underlying the link between vasectomy and PCa remain speculative. Therefore, we cannot argue with certainty that a causal association exists due to potential residual confounders. Indeed, it has been suggested that men undergoing vasectomy likely have multiple factors that bias PCa detection, such as the intensity for follow-up PSA screening. Given the strong confounding effect of PSA screening, we assessed the risk of any PCa in studies adjusted for PSA screening. Vasectomy and PCa remained significantly associated but with an excess risk of only 6%, with no significant heterogeneity between the included studies. Compared with the last meta-analysis published by Xu et al [10], in a subgroup analysis including studies adjusted with PSA screening, we found no association between vasectomy and high-grade, advanced, or fatal localized PCa. Thus, our conclusions are more moderate and cautious than those of Xu et al [10]. At present, it is unknown whether residual confounding factors could be responsible for the modest excess of PCa incidence or whether this association should be considered definitive. If assuming that PSA screening is a potential bias, it is expected to influence outcomes by disease stage. Indeed, PSA screening has been associated with increased detection of localized disease and decreased advanced PCa [48], [49]. Similar to two previous meta-analyses [10], [50], we found a positive association between vasectomy and advanced PCa. Nevertheless, as expected, when we restricted our analysis to studies adjusted for PSA screening, this association was no longer significant. Finally, PCa mortality was not influenced by vasectomy, which was consistent with previous reports [10], [50], [51], [52]. This review has several limitations that should be acknowledged. First, several confounding factors were not taken into account in the individual studies, making it impossible to establish definitively a causality between vasectomy and PCa. Second, substantial heterogeneity was observed across the included studies. Third, our results are based primarily on North American studies where vasectomy is more common (22% in Canada, 12% in USA, 11% in Oceania and Northern Europe, 3–5% in South America, and <1% in Africa [53]) and where PCa screening practices varied considerably over the study periods. Nevertheless, our study also has several strengths, including the number of patients included, the a priori definition of subgroup analyses, and the consideration of a detection bias by PSA screening for each PCa stage to refine the evaluation of the association.

Implications for practice and future research

The results of this study need to be interpreted with caution. Translating our results into clinical practice is likely to dissuade patients from undergoing vasectomy, whereas the absolute risk may be close to zero. Clear, fair, and understandable information should be provided about a possible association between vasectomy and PCa, without being able to determine whether there is any causality. To definitively address this question, future collaborative, well-designed, international studies are needed to prospectively assess this risk of PCa among vasectomized patients with particular attention to potential confounders such as well-established risk factors for developing PCa.

Conclusions

Our meta-analysis found a significant association between vasectomy and the risk of any, mainly localized, PCa. However, the effect estimates for the association between vasectomy and PCa were increasingly close to null when examining studies of robust design and quality. When we limited our analysis to studies adjusted for PSA screening, the association remained significant only for localized disease, but not for aggressive and/or advanced PCa. Future studies are needed to prospectively assess the possible causality between vasectomy and PCa, with attention to potential residual confounders that were not taken into account in large cohort studies. Michael Baboudjian had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis. Study concept and design: Baboudjian, Ploussard. Acquisition of data: Baboudjian, Rajwa, Ploussard. Analysis and interpretation of data: Baboudjian, Rajwa, Ploussard. Drafting of the manuscript: Baboudjian, Rajwa, Ploussard. Critical revision of the manuscript for important intellectual content: Barret, Beauval, Brureau, Créhange, Dariane, Fiard, Fromont, Gauthé, Mathieu, Renard-Penna, Roubaud, Ruffion, Sargos, Rouprêt. Statistical analysis: Baboudjian. Obtaining funding: None. Administrative, technical, or material support: None. Supervision: None. Other: None. Michael Baboudjian certifies that all conflicts of interest, including specific financial interests and relationships and affiliations relevant to the subject matter or materials discussed in the manuscript (eg, employment/affiliation, grants or funding, consultancies, honoraria, stock ownership or options, expert testimony, royalties, or patents filed, received, or pending), are the following: None. None.
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3.  Increase in Prostate Cancer Distant Metastases at Diagnosis in the United States.

Authors:  Jim C Hu; Paul Nguyen; Jialin Mao; Joshua Halpern; Jonathan Shoag; Jason D Wright; Art Sedrakyan
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4.  Vasectomy and Prostate Cancer Incidence and Mortality in a Large US Cohort.

Authors:  Eric J Jacobs; Rebecca L Anderson; Victoria L Stevens; Christina C Newton; Ted Gansler; Susan M Gapstur
Journal:  J Clin Oncol       Date:  2016-09-30       Impact factor: 44.544

Review 5.  Biases in Recommendations for and Acceptance of Prostate Biopsy Significantly Affect Assessment of Prostate Cancer Risk Factors: Results From Two Large Randomized Clinical Trials.

Authors:  Catherine M Tangen; Phyllis J Goodman; Cathee Till; Jeannette M Schenk; M Scott Lucia; Ian M Thompson
Journal:  J Clin Oncol       Date:  2016-10-28       Impact factor: 44.544

6.  Medical history, body size, and cigarette smoking in relation to fatal prostate cancer.

Authors:  Sheila Weinmann; Jean A Shapiro; Benjamin A Rybicki; Shelley M Enger; Stephen K Van Den Eeden; Kathryn E Richert-Boe; Noel S Weiss
Journal:  Cancer Causes Control       Date:  2009-10-09       Impact factor: 2.506

7.  Vasectomy and risk of aggressive prostate cancer: a 24-year follow-up study.

Authors:  Mohummad Minhaj Siddiqui; Kathryn M Wilson; Mara M Epstein; Jennifer R Rider; Neil E Martin; Meir J Stampfer; Edward L Giovannucci; Lorelei A Mucci
Journal:  J Clin Oncol       Date:  2014-09-20       Impact factor: 44.544

8.  Vasectomy and risk of prostate cancer.

Authors:  Brian Cox; Mary J Sneyd; Charlotte Paul; Brett Delahunt; David C G Skegg
Journal:  JAMA       Date:  2002-06-19       Impact factor: 56.272

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Authors:  Madhur Nayan; Robert J Hamilton; Erin M Macdonald; Qing Li; Muhammad M Mamdani; Craig C Earle; Girish S Kulkarni; Keith A Jarvi; David N Juurlink
Journal:  BMJ       Date:  2016-11-03

10.  The PRISMA 2020 statement: an updated guideline for reporting systematic reviews.

Authors:  Matthew J Page; Joanne E McKenzie; Patrick M Bossuyt; Isabelle Boutron; Tammy C Hoffmann; Cynthia D Mulrow; Larissa Shamseer; Jennifer M Tetzlaff; Elie A Akl; Sue E Brennan; Roger Chou; Julie Glanville; Jeremy M Grimshaw; Asbjørn Hróbjartsson; Manoj M Lalu; Tianjing Li; Elizabeth W Loder; Evan Mayo-Wilson; Steve McDonald; Luke A McGuinness; Lesley A Stewart; James Thomas; Andrea C Tricco; Vivian A Welch; Penny Whiting; David Moher
Journal:  BMJ       Date:  2021-03-29
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