Evidence map›Paper›PMID 29587796›Full record

ArticleVirology journal2018

Human papilloma virus correlates of high grade cervical dysplasia in HIV-infected women in Mombasa, Kenya: a cross-sectional analysis.

Sonia Menon, Stanley Luchters, Rodolfo Rossi, Steven Callens, Mandaliya Kishor, Johannes Bogers, Davy Vanden Broeck

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Virology journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

8 citing papers in PubMed, 14 citations in OpenAlex.

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  7. Detection of types of HPV among HIV-infected and HIV-uninfected Kenyan women undergoing cryotherapy or loop electrosurgical excision procedure.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2020
    Observational
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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

7 authors at 5 institutions in 4 countries.

Sonia MenonInternational Centre for Reproductive Health (ICRH), Department of Obstetrics and Gynaecology, Ghent University, De Pintelaan 185 P3, 9000, Ghent, Belgium. soniasimonemenon@gmail.com.
Stanley LuchtersInternational Centre for Reproductive Health (ICRH), Department of Obstetrics and Gynaecology, Ghent University, De Pintelaan 185 P3, 9000, Ghent, Belgium.
Rodolfo RossiPrimary Health Care Services, International Committee of the Red Cross (ICRC), Geneva, Switzerland.
Steven CallensInternational Centre for Reproductive Health (ICRH), Department of Obstetrics and Gynaecology, Ghent University, De Pintelaan 185 P3, 9000, Ghent, Belgium.
Mandaliya KishorICRH, P.O.Box 91109, Mombasa, 80103, Kenya.
Johannes BogersInternational Centre for Reproductive Health (ICRH), Department of Obstetrics and Gynaecology, Ghent University, De Pintelaan 185 P3, 9000, Ghent, Belgium.
Davy Vanden BroeckInternational Centre for Reproductive Health (ICRH), Department of Obstetrics and Gynaecology, Ghent University, De Pintelaan 185 P3, 9000, Ghent, Belgium.
Ghent University Hospital · BEBurnet Institute · AUInternational Centre for Reproductive Health Kenya · KEInternational Committee of the Red Cross · CHUniversity of Antwerp · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWomen living with HIV are at increased risk to be co-infected with HPV, persistent high-risk (HR) human papillomavirus (HPV) infection and increased HR HPV viral load, which make them more at risk for cervical cancer. Despite their inherent vulnerability, there is a scarcity of data on potential high risk (pHR) and HR HPV genotypes in HIV- infected women with cervical dysplasia and HPV-type specific viral load in this population in Sub Saharan Africa. The aim of this analysis of HIV-infected women was to explore the virological correlates of high-grade cervical dysplasia (CIN 2+) in HIV-infected women, thereby profiling HPV genotypes.

methodThis analysis assesses baseline data obtained from a cohort study of 74 HIV-infected women with abnormal cytology attending a Comprehensive Care Centre for patients with HIV infection in Mombasa, Kenya. Quantitative real-time PCR was used for HPV typing and viral load.

resultsCIN 2 was observed in 16% (12/74) of women, CIN 3 in 23% (17/74), and, invasive cervical carcinoma (ICC) in 1% (1/74) of women. In women with CIN 3+, HPV 16 (44%), HPV 56 (33%), HPV 33 and 53 (HPV 53 (28%) were the most prevalent genotypes. HPV 53 was observed as a stand-alone HPV in one woman with ICC. A multivariate logistic regression adjusting for age, CD4 count and HPV co-infections suggested the presence of HPV 31 as a predictor of CIN 2+ (adjusted odds ratio [aOR]:4.9; p = 0.05; 95% (Confidence Interval) [CI]:1.03-22.5). Women with CIN2+ had a significantly higher viral log mean of HPV 16, (11.2 copies/ 10,000 cells; 95% CI: 9.0-13.4) than with CIN 1.

conclusionThe high prevalence of HPV 53 in CIN 3 and as a stand-alone genotype in the patient with invasive cervical cancer warrants that its clinical significance be further revisited among HIV-infected women. HPV 31, along with elevated means of HPV 16 viral load were predictors of CIN 2 + .

Indexed as

AdultCD4 Lymphocyte CountCohort StudiesCross-Sectional StudiesFemaleGenotypeHIV InfectionsHumansKenyaPapillomaviridaePrevalenceReal-Time Polymerase Chain ReactionSeverity of Illness IndexUterine Cervical DysplasiaUterine Cervical NeoplasmsCIN 2 +Co-infectionsHPV viral loadHuman papilloma virusKenyaPairingsPotentially high risk/high-risk HPV genotypes

Identifiers

PMID29587796
PMCPMC5870930
OpenAlexW2804765496

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.