Evidence map›Paper›PMID 33756434›Full record

ArticleCancer epidemiology2021

Prevalence and determinants of cervical cancer screening in five sub-Saharan African countries: A population-based study.

Djibril M Ba, Paddy Ssentongo, Jonah Musa, Edeanya Agbese, Brehima Diakite, Cheick Bougadari Traore, Steve Wang, Mamoudou Maiga

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In one paragraph

Article in Cancer epidemiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 1 of them a synthesis that pooled it.

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56citing papers in PubMed, 1 pooled it
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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.

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3 · Its place in the literature

Who cites it

56 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Djibril M BaPenn State College of Medicine, Department of Public Health Sciences, Hershey, PA, United States. Electronic address: djibrilba@phs.psu.edu.
Paddy SsentongoPenn State College of Medicine, Department of Public Health Sciences, Hershey, PA, United States.
Jonah MusaDepartment of Obstetrics and Gynecology, College of Health Sciences, University of Jos, Nigeria; Department of Preventive Medicine, Division of Cancer Epidemiology and Prevention, Northwestern University, IL 60611, USA.
Edeanya AgbesePenn State College of Medicine, Department of Public Health Sciences, Hershey, PA, United States.
Brehima DiakiteUniversity of Sciences, Techniques, and Technologies of Bamako (USTTB), Faculty of Medicine and Odontostomatology, Bamako, Mali.
Cheick Bougadari TraoreUniversity of Sciences, Techniques, and Technologies of Bamako (USTTB), Faculty of Medicine and Odontostomatology, Bamako, Mali.
Steve WangMobile Imaging Innovations, Inc., Evanston, IL, United States.
Mamoudou MaigaUniversity of Sciences, Techniques, and Technologies of Bamako (USTTB), Faculty of Medicine and Odontostomatology, Bamako, Mali; Northwestern University, Department of Biomedical Engineering, Evanston, IL, United States; Department of Preventive Medicine, Division of Cancer Epidemiology and Prevention, Northwestern University, IL 60611, USA.

Funding

Predictive Personalized Public Health (P3H): A Novel Paradigm to Treat Infectious DiseaseR01AI145057 · NIAID · YALE UNIVERSITY · PI SCHIFF, STEVEN J · 2018 to 2022
$8.1M
Vaginal Microbiome in Cervical Intraepithelial Neoplasia and CancerK43TW011416 · FIC · UNIVERSITY OF JOS · PI MUSA, JONAH · 2019 to 2022
$372k
FIC NIH HHS K43 TW011416NIAID NIH HHS R01 AI145057
6 · The paper itself

Abstract

backgroundCervical cancer is the fourth most common cancer among women worldwide, with an estimate of 570,000 new cases and about 311,000 deaths annually. Low-resource countries, including those in sub-Saharan Africa, have the highest-burden with an estimate of 84 % of all cervical cancers. This study examines the prevalence and socio-demographic-economic factors associated with cervical cancer screening in sub-Saharan Africa.

methodsA weighted population-based cross-sectional study using Demographic and Health Surveys data. We used available data on cervical cancer screening between 2011 and 2018 from the Demographic and Health Surveys for five sub-Saharan African countries (Benin, Ivory Coast, Kenya, Namibia, and Zimbabwe). The study population included women of childbearing age, 21-49 years (n = 28,976). We fit a multivariable Poisson regression model to identify independent factors associated with cervical cancer screening.

resultsThe overall weighted prevalence of cervical cancer screening was 19.0 % (95 % CI: 18.5 %-19.5 %) ranging from 0.7 % in Benin to 45.9 % in Namibia. Independent determinants of cervical cancer screening were: older age (40-49 years) adjusted prevalence ratio (aPR) = 1.77 (95 % CI: 1.64, 1.90) compared with younger age (21-29 years), secondary/higher education (aPR = 1.51, 95 CI: 1.28-1.79) compared with no education, health insurance (aPR = 1.53, 95 % CI: 1.44-1.61) compared with no insurance, and highest socioeconomic status (aPR = 1.39, 95 % CI: 1.26-1.52) compared with lowest.

conclusionThe prevalence of cervical cancer screening is substantially low in sub-Saharan Africa countries and shows a high degree of between-country variation. Interventions aimed at increasing the uptake of cervical cancer screening in sub-Saharan Africa are critically needed.

Indexed as

AdultAfrica South of the SaharaCross-Sectional StudiesEarly Detection of CancerFemaleHumansMiddle AgedPrevalenceSocioeconomic FactorsUterine Cervical NeoplasmsYoung AdultCervical cancer screeningDemographic and health surveysSub-Saharan AfricaWomen

Identifiers

PMID33756434
PMCPMC8864323

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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.