Evidence map›Paper›PMID 32715467›Full record

Observational studyInternational journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics2020

Detection of types of HPV among HIV-infected and HIV-uninfected Kenyan women undergoing cryotherapy or loop electrosurgical excision procedure.

Elkanah O Orang'o, Jordan P Emont, Aaron C Ermel, Tao Liu, Victor Omodi, Yan Tong, Peter M Itsura, Philip K Tonui, Titus Maina, John M Ong'echa and 7 more

Open access · greenAbstract readObservational Study
In one paragraph

Observational study in International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 25% 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, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
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

17 authors at 5 institutions in 2 countries.

Elkanah O Orang'oMoi University, Eldoret, Kenya.
Jordan P EmontBrown University, Providence, RI, USA.
Aaron C ErmelIndiana University School of Medicine, Indianapolis, IN, USA.
Tao LiuBrown University, Providence, RI, USA.
Victor OmodiMoi University, Eldoret, Kenya.
Yan TongIndiana University School of Medicine, Indianapolis, IN, USA.
Peter M ItsuraMoi University, Eldoret, Kenya.
Philip K TonuiMoi University, Eldoret, Kenya.
Titus MainaMaseno University, Maseno, Kenya.
John M Ong'echaKenya Medical Research Institute, Nairobi, Kenya.
Kapten MuthokaMoi University, Eldoret, Kenya.
Stephen KiptooMoi University, Eldoret, Kenya.
Ann MoormannUniversity of Massachusetts Medical School, Worcester, MA, USA.
Joseph HoganBrown University, Providence, RI, USA.
Patrick J LoehrerIndiana University School of Medicine, Indianapolis, IN, USA.
Darron BrownIndiana University School of Medicine, Indianapolis, IN, USA.
Susan Cu-UvinBrown University, Providence, RI, USA.
Moi University · KEBrown University · USIndiana University School of MedicineKenya Medical Research Institute · KEUniversity of Massachusetts Chan Medical School · US

Funding

Translational ScienceP30AI042853 · NIAID · MIRIAM HOSPITAL · PI LARRY K BROWN · 1998 to 2026
$51.7M
Translational CoreU54CA254518 · NCI · INDIANA UNIVERSITY INDIANAPOLIS · PI BROWN, DARRON R, ITSURA, PETER · 2020 to 2024
$4.7M
Translational Biology CoreU54CA190151 · NCI · INDIANA UNIVERSITY INDIANAPOLIS · PI BROWN, DARRON R, LOEHRER, PATRICK J. · 2014 to 2019
$3.8M
Brown Moi Partnership for Biostatistics Training in HIV-NAMBARID43TW010050 · FIC · BROWN UNIVERSITY · PI JOSEPH W HOGAN · 2015 to 2026
$3.2M
Brown/Moi Training Program for the Prevention of HIV related Cervical CancerD43TW011317 · FIC · BROWN UNIVERSITY · PI CU-UVIN, SUSAN · 2019 to 2023
$1.6M
FIC NIH HHS D43 TW010050FIC NIH HHS D43 TW011317NCI NIH HHS U54 CA190151NCI NIH HHS U54 CA254518NIAID NIH HHS P30 AI042853NIH HHSProvidence/Boston CFAR
6 · The paper itself

Abstract

objectiveTo assess the baseline types of HPV infection among HIV-positive and HIV-negative women in western Kenya undergoing cryotherapy or loop electrosurgical excision procedure (LEEP) for cervical intraepithelial neoplasia.

methodsA prospective observational study was conducted of baseline HPV characteristics of women undergoing visual inspection with acetic acid (VIA) and cryotherapy or LEEP. After a positive VIA in HIV-positive and HIV-negative women, data on demographics, CD4 count, and use of antiretroviral therapy and a cervical swab were collected. HPV typing was performed using the Roche Linear Array.

resultsOf 175 participants, 86 (49.1%) were HIV-positive and had a higher prevalence of low-risk HPV types (odds ratio [OR] 5.28, P=0.005) compared with HIV-negative women. The most common high-risk (HR)-HPV types in HIV-positive women were HPV 16 (13.9%) and HPV 18 (11.1%). HIV-positive women requiring LEEP were more likely to have HR-HPV types (OR 6.67, P=0.012) and to be infected with multiple HR-HPV types (OR 7.79, P=0.024) compared to those undergoing cryotherapy.

conclusionHIV-positive women requiring LEEP versus cryotherapy had a higher prevalence of any HR-HPV type and multiple HR-HPV types. There were no such differences in HPV types identified among HIV-negative women.

Indexed as

HIV-1HIV InfectionsAdultCryotherapyElectrosurgeryFemaleHumansKenyaMiddle AgedPapillomavirus InfectionsUterine Cervical DysplasiaUterine Cervical NeoplasmsYoung AdultCryotherapyElectrosurgeryHIV infectionsKenyaPapillomavirus infectionsUterine cervical dysplasia

Identifiers

PMID32715467
PMCPMC7541596
OpenAlexW3044832357

What OpenQuestion holds

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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.