Evidence map›Paper›PMID 34187465›Full record

ArticleInternational journal of health geographics2021

Spatiotemporal modelling and mapping of cervical cancer incidence among HIV positive women in South Africa: a nationwide study.

Dhokotera Tafadzwa, Riou Julien, Bartels Lina, Rohner Eliane, Chammartin Frederique, Johnson Leigh, Singh Elvira, Olago Victor, Sengayi-Muchengeti Mazvita, Egger Matthias and 2 more

Open access · goldAbstract read
In one paragraph

Article in International journal of health geographics, 2021. 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
1.1field-weighted citation impact, top 23% 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, 9 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

12 authors at 3 institutions in 3 countries.

Dhokotera TafadzwaInstitute of Social and Preventive Medicine (ISPM), University of Bern, Bern, Switzerland.
Riou JulienInstitute of Social and Preventive Medicine (ISPM), University of Bern, Bern, Switzerland.
Bartels LinaInstitute of Social and Preventive Medicine (ISPM), University of Bern, Bern, Switzerland.
Rohner ElianeInstitute of Social and Preventive Medicine (ISPM), University of Bern, Bern, Switzerland.
Chammartin FrederiqueInstitute of Social and Preventive Medicine (ISPM), University of Bern, Bern, Switzerland.
Johnson LeighCentre for Infectious Disease Epidemiology and Research, School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa.
Singh ElviraNational Cancer Registry, National Health Laboratory Service, Johannesburg, South Africa.
Olago VictorNational Cancer Registry, National Health Laboratory Service, Johannesburg, South Africa.
Sengayi-Muchengeti MazvitaNational Cancer Registry, National Health Laboratory Service, Johannesburg, South Africa.
Egger MatthiasInstitute of Social and Preventive Medicine (ISPM), University of Bern, Bern, Switzerland.
Bohlius JuliaInstitute of Social and Preventive Medicine (ISPM), University of Bern, Bern, Switzerland.
Konstantinoudis GaryfallosInstitute of Social and Preventive Medicine (ISPM), University of Bern, Bern, Switzerland. g.konstantinoudis@imperial.ac.uk.ORCID 0000-0001-7493-9334
University of Bern · CHNational Health Laboratory Service · ZAUniversity of Cape Town · ZA

Funding

Observational Antiretroviral Studies In Southern Africa (OASIS) CollaborationU01AI069924 · NIAID · UNIVERSITAT BERN · PI Cleophas Chimbetete, Mary-Ann Davies · 2006 to 2026
$55.9M
Medical Research Council MR/T025352Medical Research Council MR/T025352/1NIAID NIH HHS U01 AI069924NIH HHS U01AI069924-09
6 · The paper itself

Abstract

backgroundDisparities in invasive cervical cancer (ICC) incidence exist globally, particularly in HIV positive women who are at elevated risk compared to HIV negative women. We aimed to determine the spatial, temporal, and spatiotemporal incidence of ICC and the potential risk factors among HIV positive women in South Africa.

methodsWe included ICC cases in women diagnosed with HIV from the South African HIV cancer match study during 2004-2014. We used the Thembisa model, a mathematical model of the South African HIV epidemic to estimate women diagnosed with HIV per municipality, age group and calendar year. We fitted Bayesian hierarchical models, using a reparameterization of the Besag-York-Mollié to capture spatial autocorrelation, to estimate the spatiotemporal distribution of ICC incidence among women diagnosed with HIV. We also examined the association of deprivation, access to health (using the number of health facilities per municipality) and urbanicity with ICC incidence. We corrected our estimates to account for ICC case underascertainment, missing data and data errors.

resultsWe included 17,821 ICC cases and demonstrated a decreasing trend in ICC incidence, from 306 to 312 in 2004 and from 160 to 191 in 2014 per 100,000 person-years across all municipalities and corrections. The spatial relative rate (RR) ranged from 0.27 to 4.43 in the model without any covariates. In the model adjusting for covariates, the most affluent municipalities had a RR of 3.18 (95% Credible Interval 1.82, 5.57) compared to the least affluent ones, and municipalities with better access to health care had a RR of 1.52 (1.03, 2.27) compared to municipalities with worse access to health.

conclusionsThe results show an increased incidence of cervical cancer in affluent municipalities and in those with more health facilities. This is likely driven by better access to health care in more affluent areas. More efforts should be made to ensure equitable access to health services, including mitigating physical barriers, such as transportation to health centres and strengthening of screening programmes.

Indexed as

HIV InfectionsUterine Cervical NeoplasmsBayes TheoremFemaleHumansIncidenceSouth Africa

Identifiers

PMID34187465
PMCPMC8244168
OpenAlexW3173430041

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.