Evidence map›Paper›PMID 30807869›Full record

ArticleInternational journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases2019

hrHPV prevalence and type distribution in rural Zimbabwe: A community-based self-collection study using near-point-of-care GeneXpert HPV testing.

Megan B Fitzpatrick, Racheal S Dube Mandishora, David A Katzenstein, Kathy McCarty, Jenna Weber, Malaya K Sahoo, Justen Manasa, Zvavahera Mike Chirenje, Benjamin A Pinsky

Open access · goldAbstract read
In one paragraph

Article in International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 15% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 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

9 authors at 3 institutions in 2 countries.

Megan B FitzpatrickStanford University School of Medicine, Department of Pathology, Stanford, CA, USA.
Racheal S Dube MandishoraUniversity of Zimbabwe College of Health Sciences, Department of Medical Microbiology, Harare, Zimbabwe.
David A KatzensteinBiomedical Research and Training Institute of Zimbabwe, Mount Pleasant, Harare, Zimbabwe; Stanford University School of Medicine, Department of Medicine, Division of Infectious Diseases and Geographic Medicine, Stanford, CA, USA.
Kathy McCartyChidamoyo Christian Hospital, Karoi, Zimbabwe.
Jenna WeberStanford University School of Medicine, Department of Pathology, Stanford, CA, USA.
Malaya K SahooStanford University School of Medicine, Department of Pathology, Stanford, CA, USA.
Justen ManasaUniversity of Zimbabwe College of Health Sciences, Department of Medical Microbiology, Harare, Zimbabwe.
Zvavahera Mike ChirenjeUniversity of Zimbabwe College of Health Sciences, Department of Obstetrics and Gynecology, Harare, Zimbabwe.
Benjamin A PinskyStanford University School of Medicine, Department of Pathology, Stanford, CA, USA; Stanford University School of Medicine, Department of Medicine, Division of Infectious Diseases and Geographic Medicine, Stanford, CA, USA. Electronic address: bpinsky@stanford.edu.
University of Zimbabwe · ZWStanford University · USStanford Medicine · US

Funding

Research Mentoring and Building Capacity of underrepresented Minority Research Scientists in India.D43TW010540 · FIC · YALE UNIVERSITY · PI MICHELE BARRY, Eva Harris · 2017 to 2026
$15.5M
Global Health Fellows and Scholars Research TrainingR25TW009338 · FIC · UNIVERSITY OF CALIFORNIA BERKELEY · PI BARRY, MICHELE, KO, ALBERT ICKSANG · 2012 to 2016
$5.2M
FIC NIH HHS D43 TW010540FIC NIH HHS R25 TW009338NCI NIH HHS L30 CA231543
6 · The paper itself

Abstract

objectivesHigh-risk human papilloma viruses (hrHPV) are the causative agents of cervical cancer, the leading cause of cancer deaths among Zimbabwean women. The objective of this study was to describe the hrHPV types found in Zimbabwe for consideration in cervical cancer screening and vaccination efforts. DESIGN AND

methodsTo determine hrHPV prevalence and type distribution in Zimbabwe we implemented a community-based cross-sectional study of self-collected cervicovaginal samples with hrHPV screening using near-point-of-care Cepheid GeneXpert HPV.

resultsThe hrHPV prevalence was 17% (112/643); 33% (41/123) vs. 14% (71/520) among HIV-1-positive and -negative participants, respectively (p=2.3E-07). Typing via Xpert HPV showed very good overall agreement (77.2%, kappa=0.698) with the Seegene Anyplex II HPV HR Detection kit. The most common types were HPV16, HPV18, HPV35, HPV52, HPV58, HPV68, HPV18, and HPV51, each of which appeared in 14-20% of infections. 37% (28/76) of women with positive cytology results (ASCUS+) had a type not included in the basic vaccine and 25% (19/76) had a type not currently in the nine-valent vaccine.

conclusionshrHPV type distribution includes less common high-risk types in rural Zimbabwe. The distribution and carcinogenicity of hrHPV type distribution should be considered during screening assay design, program development, as well as vaccine distribution and design.

Indexed as

Point-of-Care SystemsVaccinationAdultAgedCross-Sectional StudiesEarly Detection of CancerFemaleHumansMass ScreeningMiddle AgedPapillomaviridaePapillomavirus InfectionsPrevalenceSpecimen HandlingUterine Cervical NeoplasmsZimbabweCervical cancer screeningHuman PapillomavirusSelf-collection

Identifiers

PMID30807869
PMCPMC6538272
OpenAlexW2915453778

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.