Evidence map›Paper›PMID 26698909›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2016

Predictors of Human Papillomavirus Vaccination in a Large Clinical Population of Males Aged 11 to 26 years in Maryland, 2012-2013.

Megan A Clarke, Francesca Coutinho, Darcy F Phelan-Emrick, MaryAnn Wilbur, Betty Chou, Corinne E Joshu

Open access · bronzeAbstract readHistorical Article
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 2 pooled it
–field-weighted citation impact, top 89% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 2 syntheses or guidelines pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Observational
  4. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Megan A ClarkeDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland. mclark43@jhu.edu.
Francesca CoutinhoDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Darcy F Phelan-EmrickDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
MaryAnn WilburDepartment of Gynecology and Obstetrics, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Betty ChouDepartment of Gynecology and Obstetrics, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Corinne E JoshuDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland. Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, Maryland.
Johns Hopkins University · USSidney Kimmel Comprehensive Cancer Center · US

Funding

Translational Research Central ServicesP30CA006973 · NCI · JOHNS HOPKINS UNIVERSITY · PI Rosalie Wollett · 1985 to 2026
$208.6M
INSTITUTIONAL RESEARCH CANCER EPIDEMIOLOGY FELLOWSHIPT32CA009314 · NCI · JOHNS HOPKINS UNIVERSITY · PI Corinne E. Joshu, Meghan Bridgid Moran · 1985 to 2026
$11.2M
NCI NIH HHS P30 CA006973NCI NIH HHS T32 CA009314
6 · The paper itself

Abstract

backgroundDespite the recommendation for routine human papillomavirus (HPV) vaccination in males, coverage estimates remain low. We sought to identify predictors of receiving each HPV vaccine dose among a large clinical population of males.

methodsWe conducted a cross-sectional analysis of electronic medical records for 14,688 males ages 11 to 26 years attending 26 outpatient clinics (January 2012-April 2013) in Maryland to identify predictors of each HPV vaccine dose using multivariate logistic regression models with generalized estimating equations. All analyses were stratified in accordance with vaccine age recommendations: 11 to 12 years, 13 to 21 years, and 22 to 26 years. Analyses of predictors of receipt of subsequent HPV doses were also stratified by the number of clinic visits (≤3 and >3).

resultsApproximately 15% of males initiated the HPV vaccine. Less than half of males eligible received the second and third doses, 49% and 47%, respectively. Non-Hispanic black males (vs. non-Hispanic white) ages 11 to 12 and 13 to 21 years and males with public insurance (vs. private) ages 13 to 21 years had significantly greater odds of vaccine initiation, but significantly decreased odds of receiving subsequent doses, respectively. Attendance to >3 clinic visits attenuated the inverse association between public insurance and receipt of subsequent doses.

conclusionOverall, rates of HPV vaccine initiation and of subsequent doses were low. While non-Hispanic black and publicly insured males were more likely to initiate the HPV vaccine, they were less likely to receive subsequent doses. IMPACT: Tailoring different intervention strategies for increasing HPV vaccine initiation versus increasing rates of subsequent doses among males may be warranted.

Indexed as

AdolescentAdultChildCross-Sectional StudiesHistory, 21st CenturyHumansMalePapillomavirus InfectionsPapillomavirus VaccinesVaccinationYoung AdultPapillomavirus Vaccines

Identifiers

PMID26698909
PMCPMC4767642
OpenAlexW2211810065

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.