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Original Investigation |

Association of Varying Number of Doses of Quadrivalent Human Papillomavirus Vaccine With Incidence of Condyloma FREE

Eva Herweijer, MSc1; Amy Leval, PhD2,3; Alexander Ploner, PhD1; Sandra Eloranta, PhD1; Julia Fridman Simard, ScD4; Joakim Dillner, MD1; Eva Netterlid, PhD5,6,7; Pär Sparén, PhD1; Lisen Arnheim-Dahlström, PhD1
[+] Author Affiliations
1Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
2Department of Communicable Disease Control and Prevention for Stockholm County, Stockholm, Sweden
3Department of Medicine, Infectious Disease Unit, Karolinska Institutet, Stockholm, Sweden
4Department of Medicine, Clinical Epidemiology Unit, Karolinska Institutet, Stockholm, Sweden
5Swedish Institute for Communicable Disease Control, Stockholm, Sweden
6Faculty of Medicine, Department of Clinical Sciences in Malmö, Lund University, Malmö, Sweden
7Department of Occupational and Environmental Dermatology, Skåne University Hospital, Malmö, Sweden
JAMA. 2014;311(6):597-603. doi:10.1001/jama.2014.95.
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Published online

Importance  Determining vaccine dose-level protection is essential to minimize program costs and increase mass vaccination program feasibility. Currently, a 3-dose vaccination schedule is recommended for both the quadrivalent and bivalent human papillomavirus (HPV) vaccines. Although the primary goal of HPV vaccination programs is to prevent cervical cancer, condyloma related to HPV types 6 and 11 is also prevented with the quadrivalent vaccine and represents the earliest measurable preventable disease outcome for the HPV vaccine.

Objective  To examine the association between quadrivalent HPV vaccination and first occurrence of condyloma in relation to vaccine dose in a population-based setting.

Design, Setting, and Participants  An open cohort of all females aged 10 to 24 years living in Sweden (n = 1 045 165) was followed up between 2006 and 2010 for HPV vaccination and first occurrence of condyloma using the Swedish nationwide population-based health data registers.

Main Outcomes and Measures  Incidence rate ratios (IRRs) and incidence rate differences (IRDs) of condyloma were estimated using Poisson regression with vaccine dose as a time-dependent exposure, adjusting for attained age and parental education, and stratified on age at first vaccination. To account for prevalent infections, models included a buffer period of delayed case counting.

Results  A total of 20 383 incident cases of condyloma were identified during follow-up, including 322 cases after receipt of at least 1 dose of the vaccine. For individuals aged 10 to 16 years at first vaccination, receipt of 3 doses was associated with an IRR of 0.18 (95% CI, 0.15-0.22) for condyloma, whereas receipt of 2 doses was associated with an IRR of 0.29 (95% CI, 0.21-0.40). One dose was associated with an IRR of 0.31 (95% CI, 0.20-0.49), which corresponds to an IRD of 384 cases (95% CI, 305-464) per 100 000 person-years, compared with no vaccination. The corresponding IRDs for 2 doses were 400 cases (95% CI, 346-454) and for 3 doses, 459 cases (95% CI, 437-482). The number of prevented cases between 3 and 2 doses was 59 (95% CI, 2-117) per 100 000 person-years.

Conclusions and Relevance  Although maximum reduction in condyloma risk was seen after receipt of 3 doses of quadrivalent HPV vaccine, receipt of 2 vaccine doses was also associated with a considerable reduction in condyloma risk. The implications of these findings for the relationship between number of vaccine doses and cervical cancer risk require further investigation.

Figures in this Article

Human papillomavirus (HPV) types 16 and 18, two HPV types included in the prophylactic HPV vaccines, are implicated in multiple cancer outcomes, including cervical cancer.1,2 The quadrivalent HPV vaccine also protects against HPV types 6 and 11, which cause about 90% of condylomas, also referred to as genital warts.3 Condyloma is the first HPV-related disease end point that can be measured after quadrivalent HPV vaccination because of its short incubation time of between 1 and 6 months.46

Between 2007 and 2011, Sweden had a partially subsidized, opportunistic HPV vaccination program for girls aged 13 to 17 years. Vaccine coverage within this target group was about 25% in 2010.7 Ninety-nine percent of girls vaccinated received the quadrivalent vaccine. In 2012, a school-based vaccination program was launched for girls aged 10 to 12 years, with a catch-up program for girls aged 13 to 18 years, all free of charge.

Both the bivalent and quadrivalent vaccines currently have a 3-dose schedule, which is associated with increased cost and other program feasibility issues.8,9 Dose efficacy has been widely discussed as a fundamental factor in decisions regarding vaccination strategies.8,10,11 The overall protective effects of HPV vaccination programs and requisite efforts appropriate for ensuring complete 3-dose vaccinations are unclear. Small clinical trials have reported measures of vaccine efficacy with less than 3 doses.8,12,13

In contrast to vaccine efficacy trials, population-based studies can examine reduction in disease end points and are more likely to reflect the vaccinated population.14,15 Population-based studies measuring HPV-related diseases provide essential complementary information to studies of vaccine dose efficacy, which primarily assess nondisease end points such as immune response or are designed so that efficacy comparisons cannot be made between multiple dose levels. Registry data in Sweden include unique information on vaccination dose dates for the entire population. The aim of this study was to assess the association between quadrivalent HPV vaccination and condyloma per vaccine dose among young females in a population-based setting.

Study Population

An open cohort of all girls and young women aged 10 to 24 years and residing in Sweden was followed up from January 1, 2006, to December 31, 2010, for HPV vaccination and first occurrence of condyloma. Girls entered the open cohort on their 10th birthday or at any time after January 1, 2006, whichever came last. They were followed up until the first of the following: their 25th birthday; December 31, 2010; death; vaccination with the bivalent vaccine; or a condyloma diagnosis.

To assess the association between dose level and incident, as opposed to prevalent condyloma, all individuals with condyloma prior to individual follow-up were excluded. As it was not possible for us to obtain updated emigration status at the start of follow-up, all women having emigrated through December 31, 2002, were excluded because their history and follow-up could not be ascertained. Individuals with a registered date of death before follow-up were excluded, and women who received the bivalent vaccine before follow-up were excluded (Figure 1).

Place holder to copy figure label and caption
Figure 1.
Details on Study Exclusions and Population Analyzed to Study the Association Between Quadrivalent Human Papillomavirus Vaccination and Condyloma per Dose Level
Graphic Jump Location

Ethical approval for this study was granted by the ethical review board of Karolinska Institutet, Solna, Sweden. Informed consent from study participants was not required.

Data Collection

Data were collected using the Swedish population-based health data registers. Data on vaccination exposure status were retrieved via the Swedish vaccination register and the Prescribed Drug Register. Condyloma status was defined using the Prescribed Drug Register and the Patient Register. The Cause of Death Register provided information on deaths. Emigration status was derived from the Migration Register. As a proxy for socioeconomic status, parents’ education levels were obtained from the Education Register and the parents were identified from the Swedish Multigeneration Register.

Condyloma cases were defined as first observed diagnosis of condyloma either via the Patient Register or a condyloma treatment prescription identified by the Prescribed Drug Register. The International Statistical Classification of Diseases, Tenth Revision (ICD-10) code A63.0 was used to identify condyloma as main or contributory diagnosis in the Patient Register. Prescriptions for the 2 condyloma treatments, podophyllotoxin and imiquimod, were identified with their Anatomical Therapeutic Chemical (ATC) codes D06BB04 and D06BB10, respectively. These treatments are recommended as the primary mode of treatment for condyloma in Sweden. Podophyllotoxin is used exclusively for the treatment of anogenital warts whereas imiquimod is used for treatment of anogenital warts and skin tumors, the latter mostly seen in individuals aged 40 years and older. The health care system in Sweden is publically funded, giving all citizens equal access to health care; however, we acknowledge that equal access may not necessarily result in equal utilization of health care services.

Vaccination dates for the bivalent and quadrivalent vaccines were identified in the Swedish vaccination register and were complemented with the Prescribed Drug Register (ATC codes J07BM01 and J07BM02) when vaccination data were incomplete. Unique vaccination dose dates were found for 99.6% of vaccinated individuals in the study population.

Statistical Analyses

Vaccination dose was assessed as a time-dependent exposure, which allowed the same woman to contribute person-time to multiple dose categories (0, 1, 2, 3) depending on whether she received none, some, or all vaccine doses during individual follow-up (eFigure 1 in the Supplement). If a woman was diagnosed with condyloma during follow-up and prior to vaccination, she would only contribute person-time in the unvaccinated group with no analysis time included after the case of condyloma. As effect modification with age at vaccination has been shown previously,7 women who received the vaccine were categorized based on their age at first vaccination, creating 2 groups, one composed of individuals vaccinated when aged 10 through 16 years and the other group composed of individuals vaccinated when aged 17 through 19 years. This categorization reflects the median age at first sexual intercourse in Sweden.16 A separate analysis was carried out including 3 age-at-first-vaccination strata (ages 10-13, 14-16, and 17-19 years) (eResults 4 and eTable 5 in the Supplement). Women who were first vaccinated when older than 19 years were censored at time of vaccination.

Incidence rates (IRs) per 100 000 person-years were estimated per vaccine dose level based on 5 different attained age groups (10-13, 14-16, 17-19, 20-21, and 22-24 years). Poisson regression was used to estimate incidence rate ratios (IRRs) and 95% confidence intervals of condyloma by vaccine dose, adjusting for parental education and attained age. Incidence rate ratios were calculated independent of and stratifying for age at first vaccination. Incidence rates and incidence rate differences (IRDs) between doses were calculated stratified by age at first vaccination, adjusted for parental education and attained age, and averaged across levels of parental education and attained age in the population.

In organized vaccination programs, testing for prevalent HPV infection at time of vaccination is not performed, and vaccinees’ HPV status is therefore unknown. Given that the outcome in this study is condyloma, which has an incubation period of 1 to 6 months,46 and the vaccine evaluated here is recommended to be administered at 0, 2, and 6 months, attributing incident condyloma events to the correct vaccine exposure level is complicated. A comparison of the incidence of condyloma after 1, 2, or 3 doses might therefore be biased toward higher incidence of condyloma after dose 1 and 2 unless prevalent infections are considered. Consequently, our Poisson models allow for buffer periods between vaccination and the onset of case counting, where buffer-period risk time is included in previous exposure states (eFigure 2 in the Supplement). Different buffer periods of 0 to 12 months were evaluated as part of a sensitivity analysis (eTable 1 in the Supplement). We also plotted cumulative incidence in a vaccinated cohort over time after dose 1 and compared it with cumulative incidence in an age-matched unvaccinated cohort, to identify a plausible buffer length based on the separation of the incidence curves (eResults 1 in the Supplement).

Additional post hoc analyses were performed to investigate IRRs derived from individuals who completed the 3-dose schedule and those who stopped after receipt of 1 or 2 doses (eResults 3 and eTables 3 and 4 in the Supplement). As a secondary analysis, we calculated IRRs per dose level in individuals who received only 1, 2, or 3 doses. Exposure was fixed over time and defined as the cumulative vaccination status at the end of study follow-up (December 31, 2010) (eResults 5 and eTable 6 in the Supplement).

Data management was done with SAS statistical software version 9.2 (SAS Institute). Statistical analyses were done with Stata version 11 (StataCorp). Statistical significance was defined as P < .05; all alternative hypotheses were 2-sided.

The mean (SD) follow-up time was 3.8 (1.6) years. A total of 1596 and 715 women were censored during follow-up because of vaccination with the bivalent vaccine or death, respectively. A total of 1 045 165 individuals in the study cohort contributed 3 995 631 person-years, with 20 383 incident cases of condyloma during follow-up, including 322 cases after receipt of at least 1 dose of the vaccine. Most individuals in the study cohort had a parent who finished high school (49.1%) or university (43.4%), whereas 6.2% had no parent with an education level above high school (Table 1). For the 1-dose analysis, 115 197 individuals contributed 27 810 person-years. At 2 doses 107 338 individuals contributed 45 469 person-years, and at 3 doses 89 836 individuals (with 121 055 person-years) were included (Table 2). Within the study follow-up time, 77.9% of those vaccinated completed 3-dose vaccination. Mean (SD) time between doses 1 and 2 was 2.35 (1.44) months and 4.35 (1.53) months between doses 2 and 3.

Table Graphic Jump LocationTable 1.  Parental Education Level and Person-Time Contributing to the Cohort Based on Age at Enrollment
Table Graphic Jump LocationTable 2.  Number of Individuals and Events, Person-Time, and Crude Incidence Rate per Age Group by Dosea

Cumulative incidence curves for women who received at least 1 dose of the vaccine and unvaccinated women were close and parallel until approximately 3 months of follow-up (t = 96 days), when the cumulative incidence proportion of condyloma in vaccinated women separated from that among unvaccinated women through the maximum buffer period studied (t = 365 days) (Figure 2). Therefore, main results are presented using a 3-month buffer period.

Place holder to copy figure label and caption
Figure 2.
Cumulative Incidence Proportion of Condyloma in Vaccinated and Unvaccinated Individuals

Total time used to calculate curves was 1 year (365 days). Cumulative incidence proportion of condyloma in those vaccinated is shown as a function of time since vaccination with 1 dose in days. Cumulative incidence proportion of condyloma in those unvaccinated was calculated based on the age structure of those vaccinated. Shaded areas indicate 95% confidence intervals.

Graphic Jump Location

Among those first vaccinated at ages 10 to 13 years, receipt of 3 doses was associated with an IRR of 0.08 (95% CI, 0.02-0.30) (eTable 5 in the Supplement). No condyloma cases were identified after receipt of 1 or 2 doses of vaccine, and therefore main results will be presented for the collapsed age-at-first-vaccination group of 10 to 16 years.

Comparing women first vaccinated at ages 10 to 16 years with those unvaccinated, 3 doses were associated with an IRR for condyloma of 0.18 (95% CI, 0.15-0.22), which corresponds to an IRD of 459 cases (95% CI, 437-482) per 100 000 person-years. Two doses were associated with an IRR of 0.29 (95% CI, 0.21-0.40; IRD, 400; 95% CI, 346-454), and 1 dose was associated with an IRR of 0.31 (95% CI, 0.20-0.49; IRD, 384; 95% CI, 305-464). Receipt of 3 vs 2 doses was associated with an IRR of 0.63 (95% CI, 0.43-0.93). The IR for 3 doses was 101 cases (95% CI, 80-122) per 100 000 person-years vs 160 cases (95% CI, 107-214) for 2 doses, which corresponds to an IRD of 59 cases (95% CI, 2-117) per 100 000 person-years (Table 3).

Table Graphic Jump LocationTable 3.  Incidence Rate Ratios and Incidence Rate Differences per 100 000 Person-Years Comparing Vaccinated Individuals With Those Unvaccinateda

Comparing women first vaccinated at ages 17 to 19 years with those unvaccinated, 3 doses were associated with an IRR of 0.23 (95% CI, 0.18-0.29; IRD, 433; 95% CI, 403-462), 2 doses were associated with an IRR of 0.35 (95% CI, 0.26-0.47; IRD, 365; 95% CI, 307-424), and 1 dose, an IRR of 0.71 (95% CI, 0.55-0.92; IRD, 162; 95% CI, 58-266). The IR for 3 doses was 128 cases (95% CI, 99-156) per 100 000 person-years vs 195 cases (95% CI, 137-253) for 2 doses, which corresponds to an IRD of 67 cases (95% CI, 3-132) per 100 000 person-years (Table 3).

The lower IRR after 1 dose for those first vaccinated at age 10 to 16 years compared with those aged 17 to 19 years was not affected by use of different buffer period lengths of 0 to 12 months (eTable 1 in the Supplement). However, the IRR for 3 vs 2 doses was affected by the buffer period lengths so that buffer periods of 4 months or less generally gave a statistically significant lower IRR for 3 compared with 2 doses, while buffer periods longer than 4 months did not. This pattern was virtually the same irrespective of age at first vaccination.

The association of 2 doses (IRR, 0.27; 95% CI, 0.15-0.51) and 3 doses (IRR, 0.18; 95% CI, 0.14-0.22) with incident condyloma remained unchanged when vaccination was measured as a fixed exposure at the end of follow-up (eTable 6 in the Supplement). However, the IRR after 1 dose was 0.44 (95% CI, 0.22-0.88), which was higher than in the main analysis.

To our knowledge, this is the first study to report an association between quadrivalent HPV vaccination and condyloma by vaccine dose level. Maximum risk reductions were found after 3 doses. Receipt of 2 doses was associated with considerable risk reduction. The number of condyloma cases prevented by 3 doses vs 2 doses was 59 cases per 100 000 person-years, which is a small difference.

An advantage of population-based studies such as this is that they examine associations, or vaccine effectiveness, without imposing exclusion criteria, making the results generalizable to the more diverse populations actually vaccinated.14 In phase 3 clinical trials of the HPV vaccine, women were randomized to receive full 3-dose schedules or the placebo/hepatitis vaccine,17,18 with data on effect of incomplete vaccination lacking. Previous national studies have examined the effect of HPV vaccination; however, none to date have examined associations by vaccine dose level,7,1924 which is important because actual vaccination programs include substantial numbers of women who do not complete the full vaccination schedule.25,26

In terms of immunogenicity, the Canadian immunogenicity trial showed noninferiority for HPV types 6, 11, 16, and 18 at month 7 after vaccination in girls aged 9 to 13 years comparing a 2- vs 3-dose schedule. At 24 and 36 months after vaccination, noninferiority disappeared for HPV types 18 and 6, respectively.12

How antibody response translates to disease prevention is currently unknown, although a correlation is assumed.27,28 Available literature shows that titer responses to HPV types 6 and 11 move in parallel to HPV-18 and decrease slightly faster than HPV-16.29,30 Although decreasing over time, antibody titer responses were sufficient to protect against disease caused by any of these HPV types.30 However, the most important factor when assessing the effect of the vaccine is actual disease outcomes.

The Costa Rican bivalent vaccine trial has reported on dose efficacy against incident and persistent HPV-16 and -18 infection in seronegative women vaccinated between the ages of 18 and 25 years. A 2-dose schedule was as protective as a 3-dose schedule.8

Incorporating a buffer period in our analyses allowed for the influence of prevalent HPV infections. Although the chosen value of 3 months reported in the Results section falls well within the range of incubation periods for condyloma reported previously,46 our buffer period is not necessarily equivalent to an incubation period. Our estimate for the buffer period may represent just a lower bound for the actual incubation period. With a buffer period of 5 months or longer, no statistically significant difference in the risk of condyloma between 2 and 3 doses could be ascertained.

Previous studies have suggested an indirect protection of HPV vaccination against infection in unvaccinated men and women.19,31 However, in our population, vaccination uptake of 25% is probably too low for unvaccinated women to benefit from herd immunity, and therefore, we do not believe this effect to be applicable in the current study.7

Selection bias can be problematic in observational studies such as ours. We have performed several post hoc analyses for selection bias and found no such biases present (eResults 3 in the Supplement).

Limitations of the study include the possibility that registry data underestimate the true number of condyloma cases,7 although we expect this underestimation to be nondifferential with regards to vaccination exposure. A proportion of individuals with condyloma will not seek medical care, perhaps because they experience less severe symptoms or are unable to fully use health services. Vaccinated women have been shown more likely to access health care, but we expect this to be nondifferential by dose. Also, patients who receive nonpharmaceutical treatment, eg, laser therapy and cryotherapy, in some private care settings are not captured by registry data, although this group should be small. We were able to exclude women with a history of condyloma before individual follow-up as a proxy for HPV status. In addition, we introduced buffer periods after vaccination to account for prevalent HPV infections in girls already sexually active at the time of vaccination. In the current study, it was not possible to estimate associations per dose level separately in girls first vaccinated between ages 10 and 13 years, and hence most likely HPV naive, because of limited follow-up time (eTable 5 in the Supplement). Further, limited vaccinated follow-up time resulted in wide confidence intervals, particularly in comparisons involving just 1 vaccine dose.

This study does not account for HPV disease outcomes other than condyloma. More studies with longer follow-up are needed to assess if these observed reductions in condyloma risk by vaccine dose apply for other HPV-related disease outcomes such as cervical intraepithelial neoplasia and cervical cancer.

Although maximum reduction in condyloma risk was seen after receipt of 3 doses of the quadrivalent HPV vaccine, receipt of 2 vaccine doses was also associated with a considerable reduction in condyloma risk, particularly among women who were younger than 17 years at first vaccination. The implications of these findings for the relationship between number of vaccine doses and cervical cancer risk requires further investigation.

Corresponding Author: Lisen Arnheim-Dahlström, PhD, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, PO Box 281, SE-171 77 Stockholm, Sweden (lisen.arnheim.dahlstrom@ki.se).

Author Contributions: Drs Arnheim-Dahlström and Sparén had full access to all of the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis.

Study concept and design: Herweijer, Leval, Ploner, Eloranta, Simard, Dillner, Sparén, Arnheim-Dahlström.

Acquisition of data: Herweijer, Leval, Netterlid, Sparén, Arnheim-Dahlström.

Analysis and interpretation of data: Herweijer, Leval, Ploner, Eloranta, Simard, Dillner, Sparén, Arnheim-Dahlström.

Drafting of the manuscript: Herweijer, Leval, Ploner, Arnheim-Dahlström.

Critical revision of the manuscript for important intellectual content: Herweijer, Leval, Ploner, Eloranta, Simard, Dillner, Netterlid, Sparén, Arnheim-Dahlström.

Statistical analysis: Herweijer, Leval, Ploner, Eloranta, Simard, Sparén.

Obtained funding: Sparén, Arnheim-Dahlström.

Administrative, technical, and material support: Ploner.

Study supervision: Ploner, Simard, Dillner, Sparén, Arnheim-Dahlström.

Conflict of Interest Disclosures: All authors have completed and submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest. Dr Dillner reported having received grants from Merck and Sanofi Pasteur Merck Sharp Dome for unconditional studies. Dr Sparén reported having received grants from GlaxoSmithKline for unconditional studies. Dr Arnheim-Dahlström reported having received grants from GlaxoSmithKline, Merck, and Sanofi Pasteur Merck Sharp Dome for unconditional studies. The above-mentioned grants had no role in the present study. Dr Netterlid reported other relationships related to the Swedish HPV vaccination registry (SVEVAC) at the Swedish Institute for Communicable Disease Control (SMI), which is currently funded by the Swedish Association of County Councils and SMI. In the start-up phase of the registry, sponsoring was also received from Sanofi Pasteur Merck Sharp Dome and GlaxoSmithKline, and for a period, a minor part of Dr Netterlid’s salary came from these funds. No other disclosures were reported.

Funding/Support: This study was supported by a grant from the Swedish Foundation for Strategic Research.

Role of the Sponsor: The funder had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of manuscript; or decision to submit the manuscript for publication.

Previous Presentations: Preliminary findings from the study were presented at International Papilloma Virus 2012; San Juan, Puerto Rico; December 5, 2012; and in the doctoral thesis of Dr Leval.

Additional Contributions: We thank Ninoa Malki, BSc, and Åsa Eck, BSc, of the Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, for database support. Neither received compensation for the contribution.

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PubMed   |  Link to Article
Li  R, Li  Y, Radley  D,  et al.  Safety and immunogenicity of a vaccine targeting human papillomavirus types 6, 11, 16 and 18. Vaccine. 2012;30(28):4284-4291.
PubMed   |  Link to Article
Stanley  M.  Prophylactic HPV vaccines. Br J Cancer. 2007;96(9):1320-1323.
PubMed
Harper  DM.  Prevention of human papillomavirus infections and associated diseases by vaccination. Public Health Genomics. 2009;12(5-6):319-330.
PubMed   |  Link to Article
Yoshikawa  H, Ebihara  K, Tanaka  Y, Noda  K.  Efficacy of quadrivalent human papillomavirus (types 6, 11, 16 and 18) vaccine (GARDASIL) in Japanese women aged 18-26 years. Cancer Sci. 2013;104(4):465-472.
PubMed   |  Link to Article
Kahn  JA, Brown  DR, Ding  L,  et al.  Vaccine-type human papillomavirus and evidence of herd protection after vaccine introduction. Pediatrics. 2012;130(2):e249-e256.
PubMed   |  Link to Article

Figures

Place holder to copy figure label and caption
Figure 1.
Details on Study Exclusions and Population Analyzed to Study the Association Between Quadrivalent Human Papillomavirus Vaccination and Condyloma per Dose Level
Graphic Jump Location
Place holder to copy figure label and caption
Figure 2.
Cumulative Incidence Proportion of Condyloma in Vaccinated and Unvaccinated Individuals

Total time used to calculate curves was 1 year (365 days). Cumulative incidence proportion of condyloma in those vaccinated is shown as a function of time since vaccination with 1 dose in days. Cumulative incidence proportion of condyloma in those unvaccinated was calculated based on the age structure of those vaccinated. Shaded areas indicate 95% confidence intervals.

Graphic Jump Location

Tables

Table Graphic Jump LocationTable 1.  Parental Education Level and Person-Time Contributing to the Cohort Based on Age at Enrollment
Table Graphic Jump LocationTable 2.  Number of Individuals and Events, Person-Time, and Crude Incidence Rate per Age Group by Dosea
Table Graphic Jump LocationTable 3.  Incidence Rate Ratios and Incidence Rate Differences per 100 000 Person-Years Comparing Vaccinated Individuals With Those Unvaccinateda

References

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PubMed   |  Link to Article
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Garland  SM, Steben  M, Sings  HL,  et al.  Natural history of genital warts: analysis of the placebo arm of 2 randomized phase III trials of a quadrivalent human papillomavirus (types 6, 11, 16, and 18) vaccine. J Infect Dis. 2009;199(6):805-814.
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Oriel  JD.  Natural history of genital warts. Br J Vener Dis. 1971;47(1):1-13.
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Kreimer  AR, Rodriguez  AC, Hildesheim  A,  et al; CVT Vaccine Group.  Proof-of-principle evaluation of the efficacy of fewer than three doses of a bivalent HPV16/18 vaccine. J Natl Cancer Inst. 2011;103(19):1444-1451.
PubMed   |  Link to Article
Natunen  K, Lehtinen  J, Namujju  P, Sellors  J, Lehtinen  M.  Aspects of prophylactic vaccination against cervical cancer and other human papillomavirus-related cancers in developing countries. Infect Dis Obstet Gynecol. 2011;2011:675858.
PubMed   |  Link to Article
Romanowski  B, Schwarz  TF, Ferguson  LM,  et al.  Immunogenicity and safety of the HPV-16/18 AS04-adjuvanted vaccine administered as a 2-dose schedule compared with the licensed 3-dose schedule. Hum Vaccin. 2011;7(12):1374-1386.
PubMed   |  Link to Article
Jit  M, Chapman  R, Hughes  O, Choi  YH.  Comparing bivalent and quadrivalent human papillomavirus vaccines. BMJ. 2011;343:d5775-d5775.
PubMed   |  Link to Article
Dobson  SR, McNeil  S, Dionne  M,  et al.  Immunogenicity of 2 doses of HPV vaccine in younger adolescents vs 3 doses in young women. JAMA. 2013;309(17):1793-1802.
PubMed   |  Link to Article
Krajden  M, Cook  D, Yu  A,  et al.  Human papillomavirus 16 (HPV 16) and HPV 18 antibody responses measured by pseudovirus neutralization and competitive Luminex assays in a two- versus three-dose HPV vaccine trial. Clin Vaccine Immunol. 2011;18(3):418-423.
PubMed   |  Link to Article
Castle  PE, Zhao  F-H.  Population effectiveness, not efficacy, should decide who gets vaccinated against human papillomavirus via publicly funded programs. J Infect Dis. 2011;204(3):335-337.
PubMed   |  Link to Article
Weinberg  GA, Szilagyi  PG.  Vaccine epidemiology. J Infect Dis. 2010;201(11):1607-1610.
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Jensen  KE, Munk  C, Sparen  P,  et al.  Women’s sexual behavior. Acta Obstet Gynecol Scand. 2011;90(5):459-467.
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Dillner  J, Kjaer  SK, Wheeler  CM,  et al; FUTURE I/II Study Group.  Four year efficacy of prophylactic human papillomavirus quadrivalent vaccine against low grade cervical, vulvar, and vaginal intraepithelial neoplasia and anogenital warts. BMJ. 2010;341:c3493-c3493.
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Paavonen  J, Naud  P, Salmerón  J,  et al; HPV PATRICIA Study Group.  Efficacy of human papillomavirus (HPV)-16/18 AS04-adjuvanted vaccine against cervical infection and precancer caused by oncogenic HPV types (PATRICIA). Lancet. 2009;374(9686):301-314.
PubMed   |  Link to Article
Ali  H, Donovan  B, Wand  H,  et al.  Genital warts in young Australians five years into national human papillomavirus vaccination programme. BMJ. 2013;346:f2032-f2032.
PubMed   |  Link to Article
Bauer  HM, Wright  G, Chow  J.  Evidence of human papillomavirus vaccine effectiveness in reducing genital warts. Am J Public Health. 2012;102(5):833-835.
PubMed   |  Link to Article
Flagg  EW, Schwartz  R, Weinstock  H.  Prevalence of anogenital warts among participants in private health plans in the United States, 2003-2010. Am J Public Health. 2013;103(8):1428-1435.
PubMed   |  Link to Article
Markowitz  LE, Hariri  S, Lin  C,  et al.  Reduction in human papillomavirus (HPV) prevalence among young women following HPV vaccine introduction in the United States. J Infect Dis. 2013;208(3):385-393.
PubMed   |  Link to Article
Cummings  T, Zimet  GD, Brown  D,  et al.  Reduction of HPV infections through vaccination among at-risk urban adolescents. Vaccine. 2012;30(37):5496-5499.
PubMed   |  Link to Article
Blomberg  M, Dehlendorff  C, Munk  C, Kjaer  SK.  Strongly decreased risk of genital warts after vaccination against human papillomavirus. Clin Infect Dis. 2013;57(7):929-934.
PubMed   |  Link to Article
Centers for Disease Control and Prevention (CDC).  National and state vaccination coverage among adolescents aged 13-17 years. MMWR Morb Mortal Wkly Rep. 2012;61(34):671-677.
PubMed
Fagot  J-P, Boutrelle  A, Ricordeau  P, Weill  A, Allemand  H.  HPV vaccination in France. Vaccine. 2011;29(19):3610-3616.
PubMed   |  Link to Article
Li  R, Li  Y, Radley  D,  et al.  Safety and immunogenicity of a vaccine targeting human papillomavirus types 6, 11, 16 and 18. Vaccine. 2012;30(28):4284-4291.
PubMed   |  Link to Article
Stanley  M.  Prophylactic HPV vaccines. Br J Cancer. 2007;96(9):1320-1323.
PubMed
Harper  DM.  Prevention of human papillomavirus infections and associated diseases by vaccination. Public Health Genomics. 2009;12(5-6):319-330.
PubMed   |  Link to Article
Yoshikawa  H, Ebihara  K, Tanaka  Y, Noda  K.  Efficacy of quadrivalent human papillomavirus (types 6, 11, 16 and 18) vaccine (GARDASIL) in Japanese women aged 18-26 years. Cancer Sci. 2013;104(4):465-472.
PubMed   |  Link to Article
Kahn  JA, Brown  DR, Ding  L,  et al.  Vaccine-type human papillomavirus and evidence of herd protection after vaccine introduction. Pediatrics. 2012;130(2):e249-e256.
PubMed   |  Link to Article

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Multimedia

Supplement.

eFigure 1. Example time-varying exposure

eFigure 2. Example buffer-period

eResults 1. Buffer period

eTable 1. Effect of buffer-period length on incidence rate ratio by age-at-first-vaccination

eResults 2. Goodness of fit

eTable 2. Goodness of fit Poisson regression model, Negative-binomial model, and zere-inflated Poisson regression model

eResults 3. Post-hoc comparison completers/non-completers

eTable 3. Number of events, person time, and crude incidence rates (IR) with 95% confidence limits by vaccination completion

eTable 4. Incidence rate ratios comparing vaccinated individuals with those unvaccinated for vaccination completers and non-completers

eResults 4. Age-at-first-vaccination strata

eTable 5. Incidence rate ratios comparing vaccinated individuals with unvaccinated individuals by three age-at-first-vaccination categories

eResults 5. Poisson regression analysis with cumulative vaccination status as exposure

eTable 6. Incidence rate ratios comparing vaccinated individuals with unvaccinated individuals by age-at-first-vaccination categories with cumulative vaccination status as exposure

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