Evidence map›Paper›PMID 32337077›Full record

ArticleBMJ global health2020

The impact of scaling up cervical cancer screening and treatment services among women living with HIV in Kenya: a modelling study.

Pablo Noel Perez-Guzman, Michael Hoonbae Chung, Hugo De Vuyst, Shona Dalal, Kennedy K Mutai, Karanja Muthoni, Bartilol Kigen, Nduku Kilonzo, Timothy B Hallett, Mikaela Smit

Open access · goldAbstract read
In one paragraph

Article in BMJ global health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.7field-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

10 citing papers in PubMed, 15 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

10 authors at 6 institutions in 5 countries.

Pablo Noel Perez-GuzmanDepartment of Infectious Disease Epidemiology, Imperial College London, London, UK.ORCID 0000-0002-5277-5196
Michael Hoonbae ChungDepartment of Medicine, Aga Khan University, Nairobi, Kenya.
Hugo De VuystInfections and Cancer Epidemiology Group, International Agency for Research on Cancer, Lyon, France.
Shona DalalDepartment of HIV/AIDS, World Health Organization, Geneva, Switzerland.
Kennedy K MutaiNational AIDS Control Council, Nairobi, Kenya.
Karanja MuthoniNational AIDS and STI Control Programme, Nairobi, Kenya.
Bartilol KigenNational AIDS and STI Control Programme, Nairobi, Kenya.
Nduku KilonzoNational AIDS Control Council, Nairobi, Kenya.
Timothy B HallettDepartment of Infectious Disease Epidemiology, Imperial College London, London, UK.
Mikaela SmitDepartment of Infectious Disease Epidemiology, Imperial College London, London, UK.
National Aids Control Council · KEImperial College London · GBCentre international de recherche sur le cancer · FRUniversity Hospital of Geneva · CHUniversity of Washington · USWorld Health Organization · CH

Funding

Quantify and prepare for the double infectious and non-communicable disease burden in Zimbabwe.R21AG053093 · NIA · IMPERIAL COLLEGE OF SCIENCE, TECHNOLOGY AND MEDICINE · PI HALLETT, TIMOTHY · 2016 to 2017
$288k
Medical Research Council MR/R015600/1NIA NIH HHS R21 AG053093World Health Organization 001
6 · The paper itself

Abstract

Introduction: We aimed to quantify health outcomes and programmatic implications of scaling up cervical cancer (CC) screening and treatment options for women living with HIV in care aged 18-65 in Kenya. Methods: Mathematical model comparing from 2020 to 2040: (1) visual inspection with acetic acid (VIA) and cryotherapy (Cryo); (2) VIA and Cryo or loop excision electrical procedure (LEEP), as indicated; (3) human papillomavirus (HPV)-DNA testing and Cryo or LEEP; and (4) enhanced screening technologies (either same-day HPV-DNA testing or digitally enhanced VIA) and Cryo or LEEP. Outcomes measured were annual number of CC cases, deaths, screening and treatment interventions, and engaged in care (numbers screened, treated and cured) and five yearly age-standardised incidence. Results: All options will reduce CC cases and deaths compared with no scale-up. Options 1-3 will perform similarly, averting approximately 28 000 (33%) CC cases and 7700 (27%) deaths. That is, VIA screening would yield minimal losses to follow-up (LTFU). Conversely, LTFU associated with HPV-DNA testing will yield a lower care engagement, despite better diagnostic performance. In contrast, option 4 would maximise health outcomes, averting 43 200 (50%) CC cases and 11 800 (40%) deaths, given greater care engagement. Yearly rescreening with either option will impose a substantial burden on the health system, which could be reduced by spacing out frequency to three yearly without undermining health gains. Conclusions: Beyond the specific choice of technologies to scale up, efficiently using available options will drive programmatic success. Addressing practical constraints around diagnostics' performance and LTFU will be key to effectively avert CC cases and deaths.

Indexed as

HIV InfectionsPapillomavirus InfectionsUterine Cervical NeoplasmsEarly Detection of CancerFemaleHumansKenyahealth systemsHIVpublic healthscreening

Identifiers

PMID32337077
PMCPMC7170464
OpenAlexW3013822779

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.