| Literature DB >> 29074169 |
Julia M L Brotherton1, Anna R Giuliano2, Lauri E Markowitz3, Eileen F Dunne4, Gina S Ogilvie5.
Abstract
In this article, we examine the issues involved if national or sub-national programs are considering extending post HPV vaccine introduction monitoring to include males. Vaccination programs are now being extended to include males in some countries, in order to improve population level HPV infection control and to directly prevent HPV-related disease in males such as anogenital warts and anal cancers. Coverage and adverse events surveillance are essential components of post-vaccination monitoring. Monitoring the impact of vaccination on HPV infection and disease in men raises some similar challenges to monitoring in females, such as the long time frame until cancer outcomes, and also different ones given that genital specimens suitable for monitoring HPV prevalence are not routinely collected for other diagnostic or screening purposes in males. Thus, dedicated surveillance strategies must be designed; the framework of these may be country-specific, dependent upon the male population that is offered vaccination, the health care infrastructure and existing models of disease surveillance such as STI networks. The primary objective of any male HPV surveillance program will be to document changes in the prevalence of HPV infection and disease due to vaccine targeted HPV types occurring post vaccination. The full spectrum of outcomes to be considered for inclusion in any surveillance plan includes HPV prevalence monitoring, anogenital warts, potentially pre-cancerous lesions such as anal squamous intraepithelial lesions (SIL), and cancers. Ideally, a combination of short term and long term outcome measures would be included. Surveillance over time in specific targeted populations of men who have sex with men and HIV-infected men (populations at high risk for HPV infection and associated disease) could be an efficient use of resources to demonstrate impact.Entities:
Keywords: Disease surveillance; Human papillomavirus; Males; Vaccine effectiveness
Mesh:
Substances:
Year: 2016 PMID: 29074169 PMCID: PMC5886861 DOI: 10.1016/j.pvr.2016.05.001
Source DB: PubMed Journal: Papillomavirus Res ISSN: 2405-8521
Outcomes for HPV monitoring: existing female strategies, possible male strategies and challenges.
| HPV Outcome | Existing female methods | Male options | Challenges (M=males, F=females) |
|---|---|---|---|
| Genital HPV infection (vaccine targeted types and non-targeted types) | a) HPV typing of liquid based samples obtained from cervical screening | a) HPV typing of samples collected from external genitalia (glans, shaft, scrotum), self collected or clinician collected | 1) Representativeness of study population (F+M, a,b,c,d) |
| b) HPV typing of self collected vaginal samples | |||
| c) HPV typing of urine samples from i) residual specimens from Chlamydia screening progams | |||
| ii) purpose collected specimens | |||
| d) HPV typing from oral specimen (e.g. rinse) | |||
| b) HPV typing of anal swabs | |||
| c) HPV typing from oral specimen (e.g. rinse) | |||
| d) HPV typing of urine samples from i) residual specimens from Chlamydia screening progams | |||
| ii) purpose collected specimens | |||
| 2) Ensuring consistency of HPV typing methods over time so that results are comparable (F+M, a,b,c,d) | |||
| 3) Availability of vaccination status and sexual history data from participants (F+M, a,b,c,d) | |||
| 4) Distinguishing deposition from infection (F+M,a,b,c,d) | |||
| 4) Standard collection method not established (M, a, b) | |||
| 5) Urine has low sensitivity in males to detect the presence of genital HPV infection (M,d) and is therefore not a suitable specimen type for routine monitoring in males | |||
| Genital intraepithelial neoplasia | a) Trend analysis of CIN2+ in cervical screening registry data | a) Monitor rates of AIN diagnoses in populations using hospitalisation data, health insurance databases or population based health registry data (Nordic countries only) Because PIN is very rare and not screened for, monitoring rates (even where possible) is unlikely to provide useful monitoring data. | 1) Ecological nature of register data/time trends in populations of abnormalities. Can be impacted by trends in diagnosis, participation, sexual activity etc (F a,b,c +M a) |
| i) existing registers | |||
| ii) purpose built registers | |||
| b) Trend analysis of vaginal/vulval intraepithelial neoplasia in Nordic registers | |||
| b) Use data collected from trials of AIN screening in MSM in pre vs post vaccine periods to monitor AIN attributable to vaccine types over time | |||
| c) Vaccine effectiveness estimation against CIN from registry based data linkage studies in vaccinated populations | |||
| d) HPV typing of CIN specimens to determine proportion due to vaccine preventable types over time | |||
| 2) Incomplete/inaccurate data linkage (F,c) | |||
| 3) Lack of population based testing for AIN/PIN means no register data or stable diagnostic rates in most countries (M, a) | |||
| 4) Monitoring rates of AIN due to HPV16/18 in MSM over time requires research studies being undertaken of screening at appropriate time points as HPV typing and screening is not routine clnical practice (M,b) | |||
| Genital warts | a) Trend analysis of genital warts/anogenital warts diagnoses in sentinel clinics | Female surveillance methods also applicable to males | 1) Ecological nature of time trends of genital warts in populations. Can be impacted by trends in treatment modalities, access to health care services, sexual activity etc (F+M, a,b,c,d,e,f) |
| b) Trend analysis of anogenital warts diagnosed in general practice | |||
| 2) Representativeness of study population (F+M,a,b,c,d) | |||
| 3) Need to obtain information about sexual orientation in order to monitor in MSM populations (M,a,b,c,d,e,f) | |||
| c) Trend analysis of diagnoses and treatment in insurance populations | |||
| d) Trend analysis of national hospitalisation data | |||
| e) Trend analysis of national health registry data (Nordic | |||
| f) Vaccine effectiveness estimation against genital warts from registry based data linkage studies in vaccinated populations (Nordic) | |||
| Recurrent respiratory papillomatosis | a) Monitoring hospitalisations over time | Female surveillance methods (monitoring of incident cases of RRP) also applicable to males | 1) Rare disease (F+M,a,b,c,d) |
| 2) Ecological nature of time trends (F+M,a,b,c,d) | |||
| b) Register based RRP surveillance (Canada) | |||
| 3) Usually no RRP surveillance/register established prior to vaccination programs to provide baseline data (F+M,b,c) | |||
| c) Rare childhood diseases surveillance through ENT surgeons and paediatricians | |||
| 4) HPV typing of RRP lesions not routine in many countries (F+M,d) | |||
| d) Monitoring of HPV types in RRP lesions | |||
| Cancer | a) Use of cancer registries to monitor rates of cervical, vagnial, vulval, anal and HPV-associated head and neck cancers over time | Female surveillance methods (analysis of cancer incidence data over time) also applicable to males. | 1) Data quality. In many countries cancer registries are incomplete, of poor quality or do not exist. (F+M,a) |
| 2) Long time frame between HPV vaccination and impact on cancers. (M>F,a) | |||
| Add monitoring of penile cancers. | |||
| 3) Consider systems to record vaccination status against cancers - e.g. for verifying and recording vaccination status on cancer registers. (F+M,a) | |||
| 4) HPV typing of cancers is not routine- consider development of methods to record on registers. (F+M,a) | |||
| 5) May be changes over time in which cancers are classified as HPV-related so care is needed in applying consistent inclusion critreria. Site-specific coding for head and neck cancers is incomplete in some registers. (F+M,a) | |||
| Cancer mortality | a) Use of cancer registries and cause of death registers to monitor rates of cervical, vagnial, vulval, anal and HPV-associated head and neck cancers over time | Female surveillance methods (analysis of cause of death data over time) also applicable to males. | 1) Data quality. In many countries cause of death registries are incomplete, of poor quality or do not exist. (F+M,a) |
| 2) Long time frame between HPV vaccination and death from cancers. (M>F,a) | |||
| Add monitoring of mortaliy from penile cancers. | |||
Letters in brackets refer to the subsections in the adjacent male and female surveillance columns.