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. 2025 Feb 17;14(4):e70686. doi: 10.1002/cam4.70686

Prevalence of Human Papillomavirus and Genotype Distribution in Chinese Men: A Systematic Review and Meta‐Analysis

Yifan Li 1, Fan Zhao 1, Dan Wu 2, Chuanyu Qin 1, Yajiao Lu 1, Ying Yang 1, Hairong Wang 1, Chunlei Lu 1, Shengyue Qiu 1, Wenwen Jiang 1, Yuxiu Yan 1, Xianyi Geng 1, Hongding Rong 1, Na Ji 1, Ning Lv 1, Yue Li 1, Jing Li 1,
PMCID: PMC11831462  PMID: 39960180

ABSTRACT

Background

Human papillomavirus (HPV) vaccination represents a cost‐effective strategy for preventing HPV‐related diseases across genders. However, the HPV vaccine has not been approved for mainland Chinese males, and the comprehensive epidemiological landscape of HPV among Chinese males from mainland China is limited.

Methods

This study aimed to address this gap by examining HPV infection data in Chinese males from January 2012 to September 2024. Four English databases (Web of Science, Embase, Medline, and Cochrane Library) and four Chinese databases (CNKI, VIP, Wanfang, and SinoMed) were systematically reviewed. Random effect models assessed pooled HPV prevalence, and subgroup analyses were conducted based on population (outpatients vs. health checkups). Genotype‐specific HPV positivity was calculated.

Results

A total of 296 studies were included, encompassing 199,233 outpatients and 16,452 health checkups. HPV prevalence was 52.45% among outpatients, with the most prevalent subtypes being HPV 6 (19.06%), 11 (13.71%), and 16 (8.29%). Among health checkups, HPV prevalence was 7.89%, with the highest prevalence subtypes being HPV 16 (3.66%), 52 (1.37%), and 58 (1.19%). Among male patients diagnosed with cancer, HPV 16 (18.50%) and 18 (5.33%) were the most common subtypes, and HPV prevalence was 82.11% among the HIV‐positive MSM population.

Conclusion

The high prevalence of HPV among Chinese males, particularly among outpatients and the HIV‐positive MSM population, underscores the urgent need for targeted prevention strategies. The common subtypes identified in this analysis highlight the potential benefits of introducing HPV prophylactic vaccines to Chinese males, which could significantly reduce the burden of HPV‐related diseases across the population.

Keywords: China, distribution, human papillomavirus, male, systematic review

1. Introduction

Human papillomavirus (HPV) infection is the most prevalent sexually transmitted infection, significantly contributing to various conditions in both genders [1, 2]. Despite a wealth of research on HPV prevalence among women, studies focusing on men are notably limited—largely due to the predominant concern regarding cervical cancer. However, HPV infections carry substantial risks for males as well. In 2020, approximately 561,295 cases of HPV‐related cancers were diagnosed globally in men [3], with about 10% of these cases occurring in Chinese males [4]. Notably, laryngeal, penile, and anal cancers represented 16.1%, 12.8%, and 11.5% of these diagnoses, respectively [4]. This alarming burden underscores the urgent need for targeted prevention strategies for men.

HPV vaccination has proven to be the most cost‐effective strategy for preventing HPV‐related diseases across genders [5, 6, 7]. Although over 100 countries have integrated the HPV vaccine into national immunization programs for girls [8], the inclusion of males remains limited, particularly in mainland China, where gender‐neutral vaccination is not yet widely adopted [8]. Recent discourse advocating for gender‐neutral HPV vaccination highlights a global shift toward more comprehensive vaccine coverage [9, 10], with increasing interest in developing HPV vaccines specifically for men.

Research on HPV prevalence and genotype distribution in men remains limited, often hindered by small sample sizes, inconsistent methodologies, and an overwhelming focus on hospital‐based studies [11]. As a result, no consensus has been reached regarding which genotypes are more likely to cause diseases in males and which genotypes are more preventable through vaccination. Given men's critical role in HPV transmission [12], analyzing data from the male population is essential for informing effective prevention strategies for all genders. This meta‐analysis considered mainly two study populations for men: data from outpatients and health checkups. Understanding the prevalence and distribution of HPV types among outpatients is vital, as this group is more likely to present with HPV‐related diseases, such as genital warts and cancers. Analyzing this subgroup will provide insights into the specific HPV genotypes associated with these diseases and will help guide the development of more targeted vaccination and treatment strategies. Furthermore, studying health checkup populations, which are more representative of the general male population, provides a clearer picture of the overall HPV disease burden. This group offers a broader perspective on the distribution of HPV types and can help to compare infection patterns with those found in females, thereby providing valuable information on gender‐specific prevalence and potential vaccine effectiveness.

This study aims to systematically review and synthesize data from studies published over the past decade to elucidate the prevalence and genotype distribution of HPV among Chinese males. By comparing data from outpatients and health checkups, this meta‐analysis seeks to provide pivotal insights that will guide future vaccination efforts and support the development of evidence‐based, gender‐neutral HPV vaccination programs in China and other regions with similar demographics and healthcare challenges.

2. Methods

We reported this systematic review and meta‐analysis in accordance with the PRISMA guidelines [13]. This study was under the number CRD42022337643 in the International Prospective Register of Systematic Reviews (PROSPERO).

2.1. Search Strategy and Inclusion Criteria

Our search strategy encompassed four Chinese databases (CNKI, VIP, Wanfang, and SinoMed) and four English databases (Web of Science, Medline (Ovid), Embase, and Cochrane Library). Studies published between 1 January 2012 and 25 September 2024 were included. The combined search strategy was used (“China” OR “Chinese” OR “Hong Kong” OR “Taiwan” OR “Macau”) AND (“human papillomavirus” OR “HPV” OR “human papilloma virus” OR “papillomaviridae”) AND (“male” OR “men”) to identify studies reporting HPV prevalence among men in China. For the Chinese databases, keywords were translated into Chinese. The research was conducted without any limitations on language. Detailed search strategies for each database are provided in Appendix S1. Literature was managed using Endnote X9, where duplicates were automatically recognized and removed, with any remaining duplicates manually removed after a double‐check.

Studies that meet the following criteria were included: (1) participants were Chinese males; (2) studies reported HPV infection rates and/or HPV genotype distribution; (3) laboratory assays and sampling sites were clearly described; (4) the studies were conducted in mainland China, Hong Kong, Macau, or Taiwan; (5) studies were published between January 1, 2012 and September 25, 2024; and (6) studies were peer‐reviewed, excluding review articles and conference abstracts. Participants who were included in multiple studies were only enrolled once, and data from articles with the largest sample size and/or the most detailed information being utilized when sample sizes were the same. The literature search and inclusion assessment were carried out independently by two authors (F.Z., Y.L.). Discrepancies were resolved through consensus and, when necessary, consultation with an experienced third reviewer (J.L.).

2.2. Data Extraction

The primary information extracted included the identification of publication, study region, participant descriptions, study design, sample size, data collection period, the sampling site, sample type, HPV detection method, and HPV prevalence by genotypes and age groups (Appendix S1). The information was extracted concurrently by multiple authors and reviewed by Y.L. If only primary data (i.e., sample size and number of HPV infections) was provided, it was used to estimate prevalence. Any discrepancies in data extraction were resolved through consensus.

2.3. Quality Assessment

In this systematic review, the methodology quality was evaluated using the Agency for Healthcare Research and Quality (AHRQ) checklist for cross sectional/prevalence studies [14]. Two independent reviewers rigorously assessed the quality of studies in terms of accuracy and generalizability. For enhanced clarity and cohesion, the AHRQ scores were categorized into three quality groups: 0–3 (low quality), 4–7 (moderate quality), and 8–11 (high quality), following the categorization proposed by Cabral et al. [15]. Detailed information regarding the quality assessment is provided in Appendix S1.

2.4. Statistical Analysis

The number of males tested served as the denominator for reporting each prevalence. Due to inconsistent reporting across studies, denominators varied for different outcomes (e.g., any HPV‐positive pooled prevalence, any HR‐HPV positive pooled prevalence, etc.). Pooled prevalence was combined without distinguishing between HPV detection methods and sampling sites. When a single population reported multiple sampling sites, results with the highest prevalence rate were utilized. HPV positivity across age groups was estimated based on studies reporting both the number of males tested and any type of infected male within each group. Age grouping was selected to best align with available data. We performed subgroup analyses of outpatients and health checkups, stratified by different regions [16], sampling sites, sampling types, men who have sex with men (MSM) (outpatients only), cancer status (outpatients only), and sample size [17]. These variables were also included in univariate meta‐regression (Appendix S1). For studies reporting multiple population characteristics or sampling sites, results were separated to pool subgroup data.

The pooled prevalence of HPV and its 95% confidence intervals (CIs) among Chinese males was estimated using random‐effects models. The DerSimonian–Laird estimator was employed to assess variance across included studies, and the Freeman‐Tukey Double Arcsine Transformation was used to stabilize variance. Heterogeneity between studies was measured using Higgins' I 2 statistics and Cochran's Q test. Additionally, meta‐regression and subgroup analysis were conducted to explore the potential causes of heterogeneity. Sensitivity analysis assessed the robustness of findings by (1) leave‐one‐out method (omitting one study at a time and calculating the pooled prevalence for the remaining studies); (2) excluding studies with a high HPV prevalence population (HIV positive MSM) among outpatients. Publication bias was assessed using Egger's test and funnel plots. All analyses were two‐sided at a 0.05 significance level, conducted using Stata/SE 15.0.

3. Results

Out of 3409 identified records, 296 studies involving a total of 215,685 males met the inclusion criteria for the final systematic review (Figure 1). Among these studies, 287 (n = 209,730) reported HPV infections, 196 (n = 145,114) reported HPV genotype distributions, and 80 (n = 75,581) reported age‐specific HPV infections. Most studies were cross sectional (265/296), geographically conducted in Eastern China (182/296). The study population primarily consisted of hospital‐based outpatients (271/296). Specimens were predominantly collected from the anal (122/296) (Appendix S1). The detailed information on the characteristics of the included studies is provided in Appendix S1. All 296 eligible studies were of moderate or high quality based on the AHRQ checklist (Appendix S1). Egger's test and funnel plots indicated publication bias among outpatient males (Appendix S1). Evidence of heterogeneity was observed in pooled HPV prevalence and genotype distribution across studies (I 2 > 50% or p < 0.05). Pooled estimates remained stable when employing the leave‐one‐out method and after excluding MSM with HIV positivity (Appendix S1).

FIGURE 1.

FIGURE 1

Flow chart of studies selection.

3.1. Overall HPV Prevalence and Genotype Distribution Among Chinese Males

As shown in Table 1, when the sampling site and specific infection genotype are not taken into consideration, the pooled HPV positivity of any HPV infection among Chinese males was 52.45% (95% CI, 49.54–55.35) in outpatients and 7.89% (95% CI, 5.18–11.06) in health checkups. For HR‐HPV, the positivity was 31.91% (95% CI, 29.40–34.48) in outpatients and 8.21% (95% CI, 3.87–13.91) in health checkups, whereas LR‐HPV positivity was 39.39% (95% CI, 35.12–43.74) and 1.85% (95% CI, 0.86–3.13), respectively. Single‐type HPV infection was more prevalent than multiple infections (30.82% vs. 21.40% in outpatients and 11.10% vs. 2.77% in health checkups) among Chinese males. In outpatients, single LR‐HPV infection was more prevalent, whereas single HR‐HPV infection was predominated in health checkups.

TABLE 1.

HPV prevalence among Chinese males.

Number of studies e Number of males tested Number of male HPV positive Pooled prevalence (95% CI) I 2 for heterogeneity (%) P for heterogeneity
Health checkups
Any HPV positive 25 16,452 1366 7.89 (5.18–11.06) 97.41% < 0.001
Any HR‐HPV positive a 10 10,402 893 8.21 (3.87–13.91) 98.44% < 0.001
Any LR‐HPV positive a 10 10,402 227 1.85 (0.86–3.13) 90.68% < 0.001
Single‐genotype infection 6 6382 693 11.10 (6.46–16.77) 96.70% < 0.001
Multiple genotype infection c 6 6382 210 2.77 (0.93–5.46) 92.81% < 0.001
Single HR‐HPV infection b 4 5838 548 9.31 (3.86–16.74) 96.57% < 0.001
Multiple HR‐HPV infection d 3 5408 107 0.42 (0.00–2.92) 93.50% < 0.001
Single LR‐HPV infection b 4 5838 78 1.29 (0.43–2.53) 76.55% 0.01
Multiple LR‐HPV infection d 3 5408 1 0.00 (0.00–0.00) 0.00% 0.799
HR‐LR Mixed infection 5 5876 44 0.23 (0.00–1.10) 76.18% 0.0021
Outpatients
Any HPV positive 273 193,278 84,350 52.45 (49.54–55.35) 99.39% < 0.001
Any HR‐HPV positive a 133 84,483 25,812 31.91 (29.40–34.48) 98.36% < 0.001
Any LR‐HPV positive a 111 72,167 28,179 39.39 (35.12–43.74) 99.28% < 0.001
Single‐genotype infection 158 118,315 32,177 30.82 (29.12–32.55) 97.06% < 0.001
Multiple genotype infection c 158 117,922 22,627 21.40 (19.33–23.54) 98.70% < 0.001
Single HR‐HPV infection b 65 44,368 4613 10.03 (8.92–11.19) 92.84% < 0.001
Multiple HR‐HPV infection d 52 32,207 1149 3.22 (2.54–3.98) 91.33% < 0.001
Single LR‐HPV infection b 59 40,767 7761 19.75 (17.16–22.48) 97.69% < 0.001
Multiple LR‐HPV infection d 44 28,103 1014 2.76 (1.93–3.71) 94.48% < 0.001
HR‐LR Mixed infection 105 65,943 9659 12.97 (10.84–15.25) 98.56% < 0.001
a

Any HR‐HPV/LR‐HPV positive indicates that an individual is infected with one or more HR‐HPV/LR‐HPV genotypes.

b

Single HR‐HPV/LR‐HPV infection implies that the individual is infected with only one HR/LR genotype.

c

Multiple‐genotype infection is defined as simultaneous infection of more than one HPV genotype, irrespective of these genotypes are HR or LR.

d

Multiple HR‐HPV/LR‐HPV infection refers to simultaneous infection with more than one HR‐HPV/LR‐HPV genotype.

e

The total number of studies pertaining to the two populations does not amount to 296 because of the inclusion of certain studies that encompass two distinct populations simultaneously. HR‐HPV, high‐risk human papillomavirus; LR‐HPV, low‐risk human papillomavirus.

The forest plot in Figure 2 illustrates the top five HPV genotypes: among outpatients, these were HPV 6 (19.06%; 95% CI, 16.90–21.32), 11 (13.71%; 95% CI, 12.03–15.47), 16 (8.29%; 95% CI, 7.52–9.10), 52 (4.64%; 95% CI, 4.17–5.15), and 58 (3.71%; 95% CI, 3.35–4.09), whereas in health checkups, HPV 16 (3.66%; 95% CI, 0.59–8.92), 52 (1.37%; 95% CI, 0.40–2.81), 58 (1.19%; 95% CI, 0.46–2.20), 6 (1.03%; 95% CI, 0.20–2.35), and 18 (1.00%; 95% CI, 0.20–2.26) were the most common.

FIGURE 2.

FIGURE 2

Type‐specific HPV prevalence among Chinese male outpatients and health checkups.

3.2. Stratification Variables‐Related HPV Infections Among Chinese Males

When stratified by geographical region, Central China exhibits the highest HPV prevalence among both outpatients (57.31%; 95% CI, 48.39–66.01) and health checkups (24.15%; 95% CI, 20.74–27.73) compared to other regions in China (Table 2). Notably, the genital area had the highest infection rate in health checkups (8.43%; 95% CI, 2.16–17.84) and in outpatients (66.25%; 95% CI, 60.53–71.75). Regarding sampling types, HPV prevalence is higher in tissue samples (80.98%; 95% CI, 52.30–98.31), exfoliated cells (55.25%; 95% CI, 52.20–58.29), and biopsies (42.38%; 95% CI, 30.55–54.66) among outpatients. Furthermore, studies with sample sizes under 200 reported higher pooled HPV prevalence than those with larger sample sizes (Table 2).

TABLE 2.

Pooled HPV prevalence among Chinese males by stratified variables.

Number of studies Number of males tested Number of male HPV positive Pooled prevalence (95% CI) I 2 for heterogeneity (%) P for heterogeneity
Region
Eastern China Health checkups 13 6513 310 4.92 (3.31–6.81) 85.35 < 0.001
Outpatients 169 140,830 62,824 52.48 (49.07–55.88) 99.39 < 0.001
Western China Health checkups 8 9277 906 9.17 (3.54–16.91) 98.20 < 0.001
Outpatients 36 16,155 6470 52.46 (42.96–61.87) 99.30 < 0.001
Northeast China Health checkups 2 83 10 11.61 (5.31–19.67) 42.60 0.187
Outpatients 13 5173 1361 52.22 (31.25–72.80) 99.51 < 0.001
Central China Health checkups 2 579 140 24.15 (20.74–27.73) 0.00 0.370
Outpatients 35 24,275 10,593 57.31 (48.39–66.01) 99.45 < 0.001
Taiwan Health checkups / / / / / /
Outpatients 13 4089 1844 42.15 (24.61–60.78) 99.29 < 0.001
Hong Kong and Macau Health checkups / / / / / /
Outpatients 2 858 183 21.28 (18.60–24.10) 0.00 0.431
Multiple regions a Health checkups / / / / / /
Outpatients 4 1692 929 54.01 (35.53–71.95) 98.15 < 0.001
Sampling site b , c
Head and neck Health checkups 2 3254 115 3.42 (2.81–4.08) 67.70 0.079
Outpatients 22 7151 2319 31.94 (16.61–49.54) 99.54 < 0.001
Anal Health checkups 11 5986 303 5.34 (1.99–9.98) 96.97 < 0.001
Outpatients 116 109,988 43,922 46.40 (42.54–50.28) 99.39 < 0.001
Genital Health checkups 3 298 23 8.43 (2.16–17.84) 80.20 0.006
Outpatients 60 19,359 11,250 66.25 (60.53–71.75) 98.55 < 0.001
Other Health checkups / / / / / /
Outpatients 4 371 109 28.33 (17.70–40.30) 82.99 0.0005
Multiple sites Health checkups 4 5793 115 17.36 (11.48–24.15) 93.80 < 0.001
Outpatients 59 50,844 25,598 66.15 (60.56–71.52) 99.40 < 0.001
Sampling type
Exfoliated cells Health checkups 19 9748 477 7.11 (4.14–10.74) 97.84 < 0.001
Outpatients 217 132,285 59,938 55.25 (52.20–58.29) 99.39 < 0.001
Biopsies d Health checkups 1 206 3 1.46 (0.50–4.19) / /
Outpatients 37 7453 2329 42.38 (30.55–54.66) 99.18 < 0.001
Tissues d Health checkups / / / / / /
Outpatients 4 684 554 80.98 (52.30–98.31) 98.06 < 0.001
Sperm Health checkups 4 1088 95 10.02 (5.74–15.29) 0.00 0.004
Outpatients 11 3208 776 22.62 (11.85–35.62) 99.01 < 0.001
Serum Health checkups 1 185 49 26.49 (20.65–33.28) / /
Outpatients 3 3365 1954 41.26 (13.28–72.77) 99.50 < 0.001
Sample size
< 200 Health checkups 11 1058 130 8.70 (4.27–14.34) 86.57 < 0.001
Outpatients 103 11,466 7178 64.68 (57.86–71.22) 98.24 < 0.001
≥ 200 Health checkups 13 15,394 1236 7.36 (4.11–11.43) 98.54 < 0.001
Outpatients 170 181,812 77,172 45.26 (41.90–48.65) 99.53 < 0.001
Whether or not MSM in outpatients c
MSM HIV positive 23 3443 2399 82.11 (73.66–89.27) 97.00 < 0.001
HIV negative 19 5693 2958 55.47 (48.79–62.05) 95.66 < 0.001
HIV unknown 20 5085 2544 53.92 (42.12–65.50) 98.60 < 0.001
Non‐MSM 230 178,514 76,170 50.81 (47.64–53.98) 99.44 < 0.001
Cancer Status in outpatients c
Diagnosed with cancer e 26 8195 1790 27.04 (19.37–35.45) 98.38 < 0.001
HPV 16 11 4428 480 18.50 (9.47–29.64) 98.32 < 0.001
HPV 18 8 3944 116 5.33 (2.02–10.01) 95.43 < 0.001
HPV 6 4 2905 12 0.49 (0.04–1.25) 53.47 0.091
HPV 11 4 2789 26 1.34 (0.30–2.96) 70.72 0.016
No cancer diagnosed 247 184,521 82,201 54.91 (51.92–57.88) 99.40 < 0.001
HPV 16 175 136,336 8885 7.77 (7.03–8.55) 96.02 < 0.001
HPV 18 155 123,301 3745 3.53 (3.08–4.00) 93.99 < 0.001
HPV 6 155 116,111 21,585 19.78 (17.65–22.01) 98.83 < 0.001
HPV 11 152 116,225 14,263 14.15 (12.45–15.93) 98.58 < 0.001
a

Multiple regions referred to the population of one study originate from two or more of the listed regions.

b

Oral, esophagus, larynx, hypopharynx, laryngeal, nasal, and auditory canal are classified as head and neck. Anal canal, perianal regions, and rectum are classified as anal. The coronal sulcus, urethra, glans, penis, scrotum, prepuce, prostate gland, and vulvar are classified as genital. Multiple sites indicated that a population was sampled from two or more listed sites. Other sampling sites utilized in this study, which mean one where samples were taken from the bladder and the other where samples were collected from the lung.

c

Several studies have reported infection rate results for more than one population or site concurrently, leading to a discrepancy between the number of studies reported and the actual total number of studies conducted.

d

Biopsy referred to Formalin‐fixed paraffin‐embedding (FFPE) samples, whereas tissue meant the fresh tissues. The cumulative number of studies across different subgroups does not equal the total number of studies within the grouping, as some studies concurrently report data from multiple subgroups.

e

The following cancers were included in this category: oropharyngeal squamous cell carcinoma (OPSCC), Oral squamous cell carcinoma (OSCC), tongue squamous cell carcinoma (TSCC), laryngeal squamous cell carcinoma (LSCC), squamous cell carcinoma of the larynx and hypopharynx (SCCLHP), subungual squamous cell carcinoma (SSCC), esophageal squamous cell carcinoma (ESCC), lung SCC, penile cancer, bladder cancer, gastric cancer, and prostatic carcinoma. HPV, human papillomavirus; MSM, men who have sex with men.

Among outpatients stratified by MSM status, HPV prevalence is the highest among MSM who were HIV positive (82.11%; 95% CI, 73.66–89.27). Predominant HR genotypes include HPV 16 (12.67%; 95% CI, 10.58–14.90 in MSM; 7.35%; 95% CI, 6.54–8.20 in non‐MSM) and HPV 52 (8.08%; 95% CI, 6.46–9.85 in MSM; 3.95%; 95% CI, 3.48–4.45 in non‐MSM) (Appendix S1). LR genotypes HPV 6 and 11 are most prevalent in both MSM (20.57% and 14.28%, respectively) and non‐MSM (18.92% and 13.43%, respectively) populations (Appendix S1). Among outpatients diagnosed with cancer, the overall HPV prevalence is 27.04%, with HPV 16 (18.50%; 95% CI, 9.47–29.64) and 18 (5.33%; 95% CI, 2.02–10.01) as the predominant subtypes compared with HPV 6 (0.49%; 95% CI, 0.04–1.25) and 11 (1.34%; 95% CI, 0.30–2.96) (Table 2).

3.3. Age Distribution and HPV Positivity Among Chinese Male Outpatients and Health Checkups

The predominant age group of outpatients included in this study was between 21 and 40 (69.00%, 43,793/63,470), and a small proportion (4.37%, 2771/63,470) were under the age of 20 (Appendix S1). HPV positivity rates remained high across age groups, ranging from 48.10% in the 31–40 age group to 56.01% in the age group of 20 or younger among outpatients seeking medical assistance (Figure 3). Among health checkups, the predominant age group is 31–40 years (51.08%, 475/930), with a prevalence rate of 5.01% (95% CI, 1.42–10.18) (Appendix S1).

FIGURE 3.

FIGURE 3

Age distribution among male HPV infections in China.

4. Discussion

This comprehensive meta‐analysis, including data from 215,685 HPV‐tested males across 296 studies, significantly enhances our understanding of HPV prevalence among Chinese men. To our knowledge, this study is the first to assess both overall HPV positivity and genotype distribution within the male population in China. Our findings illuminate the substantial extent of HPV infection among Chinese men, underscoring the necessity of utilizing existing prophylactic HPV vaccines to mitigate HPV‐associated diseases in this demographic.

Among males undergoing health checkups, which better represent the general male population, the overall HPV positivity was 7.89%. This figure is notably lower than the 15% reported for males in Eastern and South‐Eastern Asia [18] and the global prevalence of 31.0% among men [18]. Also, it was much lower than the 21.6% positivity observed in Chinese females undergoing routine cervical cancer screening [19]. Among HPV‐positive health checkup males, the most common HPV genotypes were HPV 16 (3.66%), 52 (1.37%), 58 (1.19%), 6 (1.03%), and 18 (1.00%), aligning with global trends in male populations [18, 20]. The predominance of single HR‐HPV infections, particularly HPV 16, 52, and 58, reflects patterns seen in the general female population [19, 21, 22] and emphasizes the importance of addressing men's role in HPV transmission. These consistent trends highlight the urgent need for comprehensive prevention strategies that target both genders, as HPV genotypes are detected across populations [23].

In outpatients, the overall HPV positivity rate of 52.45% aligns closely with the global estimates of male HPV infection, which average around 49.0% [24]. Notably, this rate surpasses that documented among Vietnamese male patients (20.3%) [25]. Our findings revealed that single‐type infections (30.82%) were more common than multiple infections (21.40%), with single LR‐HPV infection (19.75%) being the most prevalent. Among the outpatients, HPV 16 (8.29%), 52 (4.64%) and 58 (3.71%) emerged as the top HR‐HPV genotypes, whereas HPV 6 (19.06%), and 11 (13.71%) were the most common LR‐HPV genotypes. These distributions resonate with studies from Vietnamese and Iranian male patients [25, 26], reinforcing the need for targeted interventions.

The observed lower prevalence of HPV among health checkup males compared to outpatients can be attributed to several factors. Health checkups are more representative of the general male population, many of whom may be asymptomatic and unaware of their HPV status, as many HPV infections do not manifest symptoms, particularly those caused by low‐risk types. Studies have shown that HPV infections can remain latent and asymptomatic, with many individuals clearing the virus naturally without clinical intervention [27]. In contrast, outpatients typically seek medical care when symptomatic, such as when presenting with genital warts or lesions associated with high‐risk HPV types, leading to a higher observed prevalence among this group. Outpatients may also include high‐risk groups such as MSM, individuals with immunosuppressive conditions (e.g., HIV‐positive patients), and those with HPV‐related cancers, all of whom are more susceptible to HPV infections [28]. Moreover, health checkups often do not include routine HPV testing, which may further contribute to the lower detection rates in this group. In global comparisons, HPV prevalence in men has been reported to vary, with higher rates found in high‐risk groups such as MSM [29]. This suggests that the higher HPV prevalence among outpatients likely reflects their higher likelihood of exhibiting clinical symptoms and seeking care for HPV‐related conditions, whereas health checkup populations include a broader spectrum of individuals, many of whom may be asymptomatic carriers of the virus. Comparing HPV prevalence data across countries is essential to understand the global landscape and the role of specific risk factors in different populations.

It is well‐documented that HPV infection is linked to several cancers, including head and neck squamous cell carcinoma (HNSCC), penile cancer, and anal cancer [30, 31]. Our analysis indicated that among outpatients diagnosed with cancer, HPV 16 (18.50%) and 18 (5.33%) were the most prevalent genotypes. In contrast, HPV 6 (19.78%) and 11 (14.15%) dominated among outpatients not diagnosed with cancer. This suggests that HPV 16 and 18 are strongly associated with cancer development in Chinese males, paralleling findings in females [32]. Furthermore, HPV 6 and 11, which are more commonly linked to anogenital warts, represent a significant HPV‐related disease burden in men [33]. Our results underscore that the majority of prevalent genotypes are covered by HPV vaccines, which have demonstrated effectiveness against HPV infection and related diseases globally [34, 35]. Future research is needed to evaluate the effectiveness of these vaccines in preventing HPV‐related diseases among Chinese males.

The prevalence of HPV infection is particularly high among MSM in China, revealing a stark contrast between HIV‐positive and HIV‐negative individuals. The HPV prevalence among HIV‐positive MSM was 82.11%, consistent with previous meta‐analysis, indicating a prevalence of 85.1% in this group [29]. In comparison, HIV‐negative MSM showed a prevalence of 55.47%, akin to heterosexual males (50.91%) [36]. The most frequently detected HPV types among MSM included HR‐HPV 16 (12.67%), 52 (8.08%), 18 (7.30%), and LR‐HPV 6 (20.57%), 11 (14.28%). Given that current vaccines target these prevalent types and have shown efficacy, implementing targeted vaccination programs for MSM could significantly reduce infection rates and the burden of HPV‐related diseases in this high‐risk population.

Geographic disparities in HPV infection rates among Chinese males were also evident, with central China exhibiting higher HPV prevalence (24.15% in health checkups, 57.31% in outpatients) compared to Eastern China (4.92% in health checkups, 52.48% in outpatients). Notably, Hong Kong and Macau reported the lowest rates at 21.28%, likely due to earlier vaccine availability for both genders in these regions [37]. These findings highlight the potential impact of gender‐neutral vaccination programs in curbing HPV‐related diseases and lowering HPV infection rates among males. Sampling sites and methods further influenced HPV prevalence rates, with tissue samples revealing the highest prevalence (80.98%), whereas sperm samples yielded the lowest rates. The performance of HPV 16 in sperm samples raises concerns about potential links to male infertility, particularly regarding sperm motility and morphology [38, 39]. This suggests that HPV infection poses broader implications beyond cancer, emphasizing the need for vaccination to preserve male fertility.

This study has several strengths, notably its robust estimate of HPV prevalence among Chinese males derived from a substantial number of high‐quality studies. The analysis encompassed various parameters, including outpatients, health checkups, geographic region, sampling site, sampling type, and age group, and investigated HPV infection in MSM and cancer‐diagnosed males, providing significant insights for future vaccination strategies. However, limitations must be acknowledged. A high degree of heterogeneity was observed between studies, which subgroup analyses and meta‐regression could not fully elucidate. Additionally, variability in HPV genotype detection methods across studies may have influenced the reported prevalence, yet the large sample size mitigates concerns about significant bias. Furthermore, publication bias was detected among outpatients, despite visual inspection suggesting symmetry in funnel plots. Finally, the age distribution of HPV prevalence among outpatients may be skewed, as certain age groups are more likely to seek medical assistance when symptomatic, potentially underrepresenting the true prevalence of HPV infection.

In conclusion, this study reveals a high prevalence of HPV infection among Chinese males, particularly in outpatients and among MSM. The most prevalent genotypes—HPV16, 18, 52, 58, 6, and 11—underscore the critical need for targeted vaccination strategies. Implementing gender‐neutral HPV vaccination programs could substantially reduce the burden of HPV infection and HPV‐related diseases across genders, informing future public health efforts in China and similar regions and countries.

Author Contributions

J.L. conceptualized the study. Y.L. designed the methodology and conducted the literature searches alongside F.Z. Data curation was performed by C.Q., F.Z., Y.L., Y.Y., H.W., C.L., S.Q., W.J., C.L., Y.Y., X.G., H.R., N.J., N.L., and Y.L. Y.L. and C.Q. drafted the original manuscript, with all authors contributing to the review and editing. The study was supervised by D.W. and J.L.

Ethics Statement

The authors have nothing to report.

Conflicts of Interest

The authors declare no conflicts of interest.

Supporting information

Appendix S1.

CAM4-14-e70686-s001.docx (1.7MB, docx)

Acknowledgements

We would like to express our gratitude to all the researchers whose work contributed to this meta‐analysis.

Funding: The authors received no specific funding for this work.

Yifan Li and Fan Zhao contributed equally to this work.

Data Availability Statement

The data supporting this article are included within the article itself and in the Supporting Information.

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Associated Data

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

Supplementary Materials

Appendix S1.

CAM4-14-e70686-s001.docx (1.7MB, docx)

Data Availability Statement

The data supporting this article are included within the article itself and in the Supporting Information.


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