| Literature DB >> 32460747 |
Anita Lukács1, Zsuzsanna Máté2, Nelli Farkas3, Alexandra Mikó3, Judit Tenk3, Péter Hegyi3, Balázs Németh4, László Márk Czumbel5, Sadaeng Wuttapon5, István Kiss4, Zoltán Gyöngyi4, Gábor Varga5, Zoltán Rumbus3, Andrea Szabó2.
Abstract
BACKGROUND: The quadrivalent human papillomavirus (HPV) vaccine has been assumed to give protection against genital warts (GW) as well as cervical cancer. Our main question was whether HPV vaccine has any effects on the prevention of GW reported in randomised controlled clinical trials (RCTs) and time-trend analyses.Entities:
Keywords: Genital wart; Human papillomavirus; Prevention; Vaccination
Mesh:
Substances:
Year: 2020 PMID: 32460747 PMCID: PMC7254696 DOI: 10.1186/s12889-020-08753-y
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Fig. 1PRISMA 2009 flow diagram for identification of relevant studies
Characteristics of the studies (RCTs) included in the meta-analysis
| First author (year) | Study type | Countries | Average follow-up period | Patient characteristics | Number of cases/number of patients | Number of cases/number of patients | |||
|---|---|---|---|---|---|---|---|---|---|
| Age (years) | Number of sexual partners | ||||||||
| Mean | Range | ||||||||
| Vaccinated group | Placebo group | Vaccinated group | Placebo group | ||||||
| Garland (2007) [ | RCT | 16 countries from Asia Pacific, Europe, North- Central- and South America | 3 years | 20.2 ± 1.8 | 20.3 ± 1.8 | 16–24 | < 4 | 0/2261 | 48/2279 |
| Dillner (2010) [ | RCT | 24 countries from North America, Latin America, Europe, Asia Pacific | 42 months | 20 | 16–26 | < 4 | 2/6718 | 186/6647 | |
| Majewski (2009) [ | RCT | Austria, Czech Republic, Denmark, England, Finland, France, Germany, Greece, Iceland, Ireland, Italy, Norway, Poland, Portugal, Russian Federation, Spain, and Sweden. | 36 months | 19.7 | 16–24 | ≤4 | 1/4059 | 90/4057 | |
Villa (2006) [ | RCT | Brazil, Nordic countries, Finland, Sweden, Norway | 60 months | 20.2 | 20.0 | 16–23 | ≤4 | 0/214 | 20/209 |
| Munoz (2010) [ | RCT | Australia, Austria, Brazil, Canada, Colombia, Czech Republic, Denmark, Finland, Germany, Hong Kong, Iceland, Italy, Mexico, New Zealand, Norway, Peru, Poland, Puerto Rico, Russia, Singapore, Sweden, Thailand, the United Kingdom, United States | 3,6 years | ? | ? | 15–26 | < 4 except Finnish women | 4/4689 | 138/4735 |
| Perez (2008) [ | RCT | Brazil, Mexico, Colombia, Costa Rica, Guatemala, Peru | ? | 19.8 ± 3.0 | 20.3 ± 2.2 | 9–24 | ≤4 | 0/2075 | 9/1976 |
| Yoshikawa (2013) [ | RCT | Japan | 23 months | 22.7 ± 2.1 | 22.9 ± 2.1 | 18–26 | ≤4 | 2/400 | 7/376 |
| Mikamo (2019) [ | RCT | Japan | 36 months | 22.6 ± 2.1 | 22.6 ± 2.0 | 18–27 | 17–26 | 0/561 | 1/562 |
RCT: randomised controlled trial
a: vaccine = quadrivalent HPV vaccine (HPV types 6, 11, 16, 18)
b: placebo = aluminium hydroxyphosphate sulphate adjuvant
Characteristics of the studies (time-trend analysis) included in the meta-analysis
| First author (year) | Study type | Country | Year of vaccine introduction | Programme description | Pre-vaccination period | Post-vaccination period | Patient characteristics | Number of patients diagnosed with GW/ overall population | |
|---|---|---|---|---|---|---|---|---|---|
| Pre-vaccination period | Post-vaccination period | ||||||||
| Dominiak-Felden (2015) [ | time-trend analysis | Belgium | 2007 | Reimbursed for: • women 12 to 18 years old | 2006–2007 | 2007–2013 | 16–22 years women | 244/63180 | 12/24791 |
| Chow (2015) [ | time-trend analysis | Australia | 2007 | School-based programme for: • girls 12–13 years Catch-up programmes (2007–2009) for: • 13–18 years old schoolgirls • 18–26 years old women | 2004–2007 | 2007–2014 | Australian-born women < 21 years | 159/787 | 74/1340 |
| Australian-born women 21–32 years | 378/2801 | 322/5662 | |||||||
| Australian-born heterosexual men < 21 years | 62/531 | 112/1531 | |||||||
| Australian-born heterosexual men 21–32 years | 520/2726 | 789/6539 | |||||||
| Ali (2013) [ | time-trend analysis | Australia | 2007 | School-based programme for: • girls 12–13 years Catch-up programmes (2007–2009) for: • 13–18 years old schoolgirls • 18–26 years old women | 2004–2007 | 2007–2011 | < 21 years women | 405/3949 | 136/5456 |
| 21–30 years women | 942/7683 | 407/7545 | |||||||
| < 21 years heterosexual men | 132/1289 | 93/2693 | |||||||
| 21–30 years heterosexual men | 1195/6617 | 1034/8530 | |||||||
| Harrison (2014) [ | time-trend analysis | Australia | 2007 | School-based programme for: • girls 12–13 years Catch-up programmes (2007–2009) for: • 13–18 years old schoolgirls • 18–26 years old women | 2002–2006 | 2008–2012 | 15–27 years women | 189/43596 | 71/42393 |
| 15–27 years men | 103/21157 | 87/18745 | |||||||
| Read (2011) [ | time-trend analysis | Australia | 2007 | School-based programme for: • girls 12–13 years Catch-up programmes (2007–2009) for: • 13–18 years old schoolgirls • 18–26 years old women | 2004–2007 | 2007–2011 | < 21 years women | 168/886 | 70/898 |
| 21–29 years women | 371/2808 | 247/3546 | |||||||
| < 21 years heterosexual men | 53/378 | 45/445 | |||||||
| 21–29 years heterosexual men | 460/2524 | 500/3479 | |||||||
| Fairley (2009) [ | time-trend analysis | Australia | 2007 | School-based programme for: • girls 12–13 years Catch-up programmes (2007–2009 for: • 13–18 years old schoolgirls • 18–26 years old women | 2004–2007 | 2008 | < 28 years women | 850/6693 | 130/1970 |
| all men | 2024/16727 | 473/4778 | |||||||
| Checchi (2019) [ | time-trend analysis | England | 2012 | School-based programme for: • girls 12–13 years Catch-up programmes for: • all females up to 18 years | 2014 | 2017 | 15–24 years females | 18,973/ 3,341,260 | 13,170/ 3,282,554 |
| 15–24 years heterosexual males | 15,981/ 3,395,435 | 11,601/ 3,356,744 | |||||||
| Mann (2019) [ | time-trend analysis | USA | 2011 | School-based programme for: • girls 11–12 years • boys 11–12 years Catch-up programmes for: • girls up to 26 years • boys up to 21 years (for bisexual, MSM up to 26 years) | 2010 | 2016 | all females (median age: 26 years) | 973/42289 | 193/21484 |
all males (median age: 29 years) | 3584/49097 | 1187/26983 | |||||||
GW: genital wart, MSM: men who have sex with men
Fig. 2Forest plot of the effectiveness of HPV quadrivalent vaccine in the prevention of GW in RCTs (a) and ecological studies (b)
Fig. 3Results of leave-one-out sensitivity analysis (plot and numbers) in RCTs (a) and in ecological studies (b)
The vertical axis shows the omitted study. The horizontal axis represents the odds ratio. Every circle indicates the pooled OR when the left study is omitted in this meta-analysis. The two ends of every broken line represent the respective 95% confidence interval (CI)
Fig. 4Subgroup analyses of the changes in GW diagnosis between the pre- and post-vaccination periods in women (a) under 21 years of age and over 21 years of age, and in men (b) under 21 years of age and over 21 years of age
Fig. 5Results of leave-one-out sensitivity analysis (plot and numbers) among studies in women (a) and in men (b). The vertical axis shows the omitted study. The horizontal axis represents the odds ratio. Every circle indicates the pooled OR when the left study is omitted in this meta-analysis. The two ends of every broken line represent the respective 95% confidence interval (CI)
Fig. 6“Bubble plot” with fitted meta-regression line. OR = odds ratio
Fig. 7Risk of bias summary: review of authors’ judgement on each risk of bias item for each included RCT study (a); and risk of bias graph: review of authors’ judgement on each risk of bias item, presented as percentages across all included RCT studies (b)
Risk of bias in time-trend analyses
| First author (year) | Risk of selection bias: changes in the study population characteristics between the pre- and post-vaccination periods | Risk of information bias: errors in the identification of HPV+ during the pre- and post-vaccination period (data source, genital wart case definition, outcome used) | Risk of confounding: |
|---|---|---|---|
| Dominiak-Felden (2015) [ | Some people possibly may have been vaccinated without reimbursement (risk of misclassification), imiquimod agreement was used as the date of vaccination. | A surrogate marker (imiquimod agreement) was used as definition of genital wart cases (risk of underestimation). | Different sexual behaviours between vaccinated and unvaccinated women. |
| Chow (2015) [ | Possible changes in the clientele of the sexual health services between the periods. Self-reported vaccination status and the number of doses of HPV vaccine. | Clinical diagnosis by clinicians. | Clients at sexual health service have higher risk of sexually transmissible infections. |
| Ali (2013) [ | Possible changes in the clientele of the sexual health services between the periods. Self-reported vaccination status and the number of doses of HPV vaccine. | Genital warts are directly diagnosed by physicians. | Changes in sexual activity, health seeking behaviour could potentially cause changes in genital wart frequency over time. |
| Harrison (2014) [ | Some women from the vaccination eligible group may be included with non-vaccine eligible women due to the change in patient age. | Genital wart diagnosis by physicians. | Change in sexual risk behaviour. |
| Read (2011) [ | Possible changes in the clientele of the Melbourne Sexual Health Centre. | Genital wart diagnosis by physicians. | Possible HPV infection of 21–29 years women before the vaccination. |
| Fairley (2009) [ | Possible changes in the clientele of the Melbourne Sexual Health Centre. | Genital wart diagnosis by physicians. | Boys aged 9–15 years could be prescribed the vaccine privately. |
| Checchi (2019) [ | Inability to link anogenital wart diagnoses to individual vaccination status. | Genital wart diagnosis by physicians. | Patients could attend elsewhere for treatment of anogenital wart. |
| Mann (2019) [ | Patients’ vaccination status is unknown. | Genital wart diagnosis by physicians. | Patients with anogenital wart could choose to seek care elsewhere. |
Rating the quality of evidence using the GRADE methodology
| Num-ber of studies | Study design | Initial level of evi-dence | Evidence components | Downgrade/upgrade of evidence | Notes | Final level of evidence |
|---|---|---|---|---|---|---|
| Risk of bias | – | |||||
| Heterogeneity | – | |||||
| Indirectness | downgrade by 1 | groups with different background risks | ||||
| Imprecision | – | |||||
| Publication bias | – | |||||
| Risk of bias | – | – | ||||
| Heterogeneity | downgrade by 1 | low | ||||
| Indirectness | – | |||||
| Imprecision | upgrade by 1 | high number of participants, narrow CI | ||||
| Publication bias | – |