Evidence map›Paper›PMID 32755481›Full record

ArticleJCO global oncology2020

Understanding Geospatial Factors Associated With Cervical Cancer Screening Uptake in Amazonian Peruvian Women.

Benjamin W Barrett, Valerie A Paz-Soldan, Diana Mendoza-Cervantes, Graciela Meza Sánchez, Jhonny J Córdova López, Patti E Gravitt, Anne F Rositch, Proyecto Precancer Study Group

Abstract read
In one paragraph

Article in JCO global oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

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

  1. Pooled it
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  5. Geographical inequities in cervical cancer screening coverage in Bolivia: a spatial nationwide ecological study.Revista panamericana de salud publica = Pan American journal of public health · 2025
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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

8 authors.

Benjamin W BarrettDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Valerie A Paz-SoldanDepartment of Global Community Health and Behavioral Sciences, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA.
Diana Mendoza-CervantesUniversity of Pittsburgh School of Medicine; Pittsburgh, PA.
Graciela Meza SánchezFacultad de Medicina Humana, Universidad Nacional de la Amazonia Peruana, Iquitos, Peru.
Jhonny J Córdova LópezAsociación Benéfica PRISMA, San Miguel, Peru.
Patti E GravittDepartment of Global Health, George Washington University Milken Institute School of Public Health, Washington, DC.
Anne F RositchDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Proyecto Precancer Study Group

Funding

Translating Molecular Diagnostics for Cervical Cancer Prevention into PracticeR01CA190366 · NCI · UNIVERSITY OF MARYLAND BALTIMORE · PI PAZ-SOLDAN, VALERIE ANDREA, TRACY, J. KATHLEEN · 2016 to 2020
$2.7M
Translating Molecular Diagnostics for Cervical Cancer Prevention into PracticeU01CA190366 · NCI · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI PAZ-SOLDAN, VALERIE ANDREA, TRACY, J. KATHLEEN · 2021 to 2025
$2.1M
NCI NIH HHS R01 CA190366NCI NIH HHS U01 CA190366
6 · The paper itself

Abstract

purposeCervical cancer (CC) is the most common and second-most deadly cancer among Peruvian women. Access to services is strongly associated with CC screening uptake. This study investigated geospatial features contributing to utilization of screening. We used geolocated data and screening information from a Knowledge, Attitudes, and Practice (KAP) survey implemented in Iquitos, Peru in 2017. MATERIALS AND

methodsThe KAP collected cross-sectional CC screening history from 619 female interviewees age 18-65 years within 5 communities of varying urbanization levels. We used spatial statistics to determine if screened households tended to cluster together or cluster around facilities offering screening in greater numbers than expected, given the underlying population density.

resultsOn the basis of K-functions, screened households displayed greater clustering among each other as compared with clustering among unscreened households. Neighborhood-level factors, such as outreach, communication, or socioeconomic condition, may be functioning to generate pockets of screened households. Cross K-functions showed that screened households are generally located closer to health facilities than unscreened households. The significance of facility access is apparent and demonstrates that travel and time barriers to seeking health services must be addressed.

conclusionThis study highlights the importance of considering geospatial features when determining factors associated with CC screening uptake. Given the observed clustering of screened households, neighborhood-level dynamics should be further studied to understand how they may be influencing screening rates. In addition, results demonstrate that accessibility issues must be carefully considered when designing an effective cancer screening program that includes screening, follow-up, and treatment.

Indexed as

Early Detection of CancerUterine Cervical NeoplasmsAdolescentAdultAgedCross-Sectional StudiesFemaleHealth Knowledge, Attitudes, PracticeHumansMiddle AgedPeruYoung Adult

Identifiers

PMID32755481
PMCPMC7456312

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.