Evidence map›Paper›PMID 30377066›Full record

ArticleVaccine2018

Impact of human papillomavirus vaccination on racial/ethnic disparities in vaccine-type human papillomavirus prevalence among 14-26 year old females in the U.S.

Jacqueline Hirth, Christine J McGrath, Yong-Fang Kuo, Richard E Rupp, Jonathan M Starkey, Abbey B Berenson

Open access · greenAbstract read
In one paragraph

Article in Vaccine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 16% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
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  7. Review
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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.

Jacqueline HirthDepartment of Obstetrics & Gynecology, Center for Interdisciplinary Research in Women's Health, University of Texas Medical Branch, 301 University Blvd., Galveston, TX 77555 United States. Electronic address: jmhirth@utmb.edu.
Christine J McGrathDepartment of Global Health, University of Washington, Seattle, WA, United States.
Yong-Fang KuoOffice of Biostatistics, Division of Epidemiology and Biostatistics, Preventive Medicine and Community Health, University of Texas Medical Branch, Galveston, TX, United States.
Richard E RuppDepartment of Pediatrics, School of Medicine, University of Texas Medical Branch, Galveston, TX, United States.
Jonathan M StarkeyInstitute for Translational Sciences, University of Texas Medical Branch, Galveston, TX, United States.
Abbey B BerensonDepartment of Obstetrics & Gynecology, Center for Interdisciplinary Research in Women's Health, University of Texas Medical Branch, Galveston, TX, United States.
The University of Texas Medical Branch at Galveston · USUniversity of Washington · US

Funding

UTMB Clinical and Translational Science AwardUL1TR001439 · NCATS · UNIVERSITY OF TEXAS MED BR GALVESTON · PI URBAN, RANDALL J · 2015 to 2024
$40.0M
UTMB WOMEN'S HEALTH RESEARCH SCHOLARS PROGRAMK12HD052023 · NICHD · UNIVERSITY OF TEXAS MEDICAL BR GALVESTON · PI BERENSON, ABBEY B · 2005 to 2023
$8.1M
NCATS NIH HHS UL1 TR001439NICHD NIH HHS K12 HD052023
6 · The paper itself

Abstract

backgroundLow human papillomavirus (HPV) vaccination rates early after introduction, particularly among low income and minority adolescents, may have resulted in disparities in vaccine-type HPV prevalence (types 6, 11, 16, 18). The purpose of this study was to examine racial/ethnic variations in HPV prevalence, and evaluate how HPV vaccination has affected vaccine-type HPV prevalence across time.

methodsThis study was a retrospective analysis of 6 cycles of the National Health and Nutrition Examination Survey (NHANES) data (2003-2014). Results on HPV status from vaginal samples of 14-26 year old females who responded about HPV vaccination were used to determine HPV prevalence. Prevaccine HPV prevalence was compared to post-licensure prevalence. Racial/ethnic comparisons were made across time, and models were developed to examine the role of HPV vaccination in observed variations for vaccine-type HPV prevalence.

resultsAmong 4080 females, 29.7% were black, 25.6% were Mexican American, 8.9% were Hispanic, and 35.8% were white. Compared to prevaccine years (2003-2006), vaccine-type HPV did not decrease until late post-licensure years (2011-2014; 14.2% vs. 5.2%, p < 0.001). Most of the decrease occurred among white females between prevaccine and late post-licensure periods (15.2% vs. 4.1%, p < 0.001). Although a decrease in prevalence was observed among black females during the same periods (16.9% vs. 9.8%, p < 0.05), it was not as large as among white females. Prevalence decreased among Mexican Americans (8.2 vs. 4.0, p > 0.05) during the same periods, but the difference was not significant. Interactions between race and time were significant (p < 0.001), with uneven vaccination between black and white females contributing to the disparities observed.

conclusionsHPV vaccination was low in among black and Mexican American females, which contributed to disparities in HPV prevalence. Increasing vaccination among all adolescents, particularly 11-12 year olds, is important because most children this age will not have been exposed.

Indexed as

GenotypeHealth Status DisparitiesAdolescentAdultCross-Sectional StudiesEthnicityFemaleHumansPapillomaviridaePapillomavirus InfectionsPapillomavirus VaccinesPrevalenceRetrospective StudiesUnited StatesYoung AdultPapillomavirus VaccinesCervical cancer preventionHuman papillomavirus disparitiesHuman papillomavirus vaccinationRacial/ethnic disparities

Identifiers

PMID30377066
PMCPMC6289515
OpenAlexW2898115469

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.