Evidence map›Paper›PMID 23390953›Full record

ArticleBMC infectious diseases2013

A cross-sectional study to estimate high-risk human papillomavirus prevalence and type distribution in Italian women aged 18-26 years.

Cristina Giambi, Serena Donati, Francesca Carozzi, Stefania Salmaso, Silvia Declich, Marta L Ciofi degli Atti, Guglielmo Ronco, Maria P Alibrandi, Silvia Brezzi, Natalina Collina and 10 more

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

12 citing papers in PubMed, 26 citations in OpenAlex.

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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

20 authors at 10 institutions in 1 country.

Cristina GiambiCommunicable Disease Epidemiology Unit, National Centre for Epidemiology, Surveillance and Health Promotion; Istituto Superiore di Sanità, Viale Regina Elena 299, 00161 Rome, Italy. cristina.giambi@iss.it
Serena Donati
Francesca Carozzi
Stefania Salmaso
Silvia Declich
Marta L Ciofi degli Atti
Guglielmo Ronco
Maria P Alibrandi
Silvia Brezzi
Natalina Collina
Daniela Franchi
Amedeo Lattanzi
Maria C Minna
Roberto Nannini
Elena Barretta
Elena Burroni
Anna Gillio-Tos
Vincenzo Macallini
Paola Pierotti
Antonino Bella
Istituto Superiore di Sanità · ITPiedmont Reference Center for Epidemiology and Cancer Prevention · ITAzienda Sanitaria Locale Viterbo · ITAzienda USL di Pescara · ITBambino Gesù Children's Hospital · ITIstituto Nazionale di Fisica Nucleare, Sezione di Napoli · ITSacmi (Italy) · ITUniversity of L'Aquila · ITUniversity of Teramo · ITUniversity of Turin · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPre-vaccination information on HPV type-specific prevalence in target populations is essential for designing and monitoring immunization strategies for cervical cancer (CC) prevention. Data on HPV prevalence in Italy are available for women over the age of 24 years, target of the population-based CC screening programmes; while data of HPV prevalence in younger ages are very limited. The present study enrolled Italian women aged 18-26 years in order to assess the prevalence and distribution of high-risk (HR) HPV types. Risk-factors correlated with HR-HPV positivity were also described.

methodsA sample of 2,289 women was randomly selected from the resident population lists of ten Local Health Units (LHUs) located in six Italian Regions scattered across the country; both rural and urban LHUs were involved. Women aged between 18 and 26 years and living in the selected LHUs were included in the study; pregnant women and women who did not speak Italian were excluded. A total of 1,102 women met the inclusion criteria and agreed to participate. Participants were offered pap test and Hybrid-Capture 2 (HC2) test for HR-HPV types and genotyping was performed on positive smears.

resultsOut of 1,094 valid samples, 205 (18.7%) were HR-HPV positive. Women with 2-4 (ORadj = 4.15, 95%CI: 2.56-6.72) and ≥5 lifetime partners (ORadj = 10.63, 95%CI: 6.16-18.36) and women who have used any contraceptive in the last six months (ORadj = 1.67, 95%CI: 1.09-2.54) had a higher risk to be infected; women living with their partner had a lower risk (ORadj = 0.56, 95%CI: 0.34-0.92) to acquire infection than women living with parents/friends/alone. Among HC2 positive women, HPV16 was the most prevalent type (30.9%), followed by 31 (19.6%), 66 (12.9%), 51 (11.3%), 18 (8.8%), 56 (8.8%). Co-infections of HR-HC2 targeted types were found in 20.4% of positive samples. The HR-HPV prevalence in women with abnormal cytology (52.4%) was significantly higher than in women with normal cytology (14.6%); however 33.0% of HR-HPV infected women had an abnormal cytology.

conclusionHR-HPV prevalence in Italian women aged 18-26 years was 19%, higher than what detected for older women, by other studies using the same molecular method and laboratory network; this result supports the choice of electing girls before the sexual debut as the primary target of HPV vaccination. The HPV type distribution found in this study may represent a baseline picture; an accurate post-vaccine surveillance is necessary to early detect a possible genotype replacement. The high prevalence of viral types other than vaccine-HPV types supports the necessity to guarantee the progression of CC screening programmes in vaccinated women.

Indexed as

AdolescentAdultAlphapapillomavirusAnalysis of VarianceChi-Square DistributionCross-Sectional StudiesFemaleGenotypeHumansItalyPapanicolaou TestPapillomavirus InfectionsPrevalenceRisk Factors

Identifiers

PMID23390953
PMCPMC3599585
OpenAlexW2134005022

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.