Evidence map›Paper›PMID 33370458›Full record

ArticleCancer2021

Geospatial access predicts cancer stage at presentation and outcomes for patients with breast cancer in southwest Nigeria: A population-based study.

Gregory C Knapp, Gavin Tansley, Olalekan Olasehinde, Funmilola Wuraola, Adewale Adisa, Olukayode Arowolo, M O Olawole, Anya M Romanoff, May Lynn Quan, Antoine Bouchard-Fortier and 2 more

Abstract read
In one paragraph

Article in Cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 3 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

21 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Barriers to Radiotherapy Access in Sub-Saharan Africa for Patients with Cancer: A Systematic Review.International journal of environmental research and public health · 2024
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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.

Gregory C KnappDepartment of Surgery, Division of General Surgery, Dalhousie University, Halifax, Nova Scotia, Canada.ORCID 0000-0002-9305-1709
Gavin TansleyDepartment of Medicine, Division of Critical Care, University of British Columbia, Vancouver, British Columbia, Canada.
Olalekan OlasehindeDepartment of Surgery, Obafemi Awolowo University, Ile-Ife, Nigeria.
Funmilola WuraolaDepartment of Surgery, Obafemi Awolowo University, Ile-Ife, Nigeria.
Adewale AdisaDepartment of Surgery, Obafemi Awolowo University, Ile-Ife, Nigeria.
Olukayode ArowoloDepartment of Surgery, Obafemi Awolowo University, Ile-Ife, Nigeria.
M O OlawoleDepartment of Geography, Obafemi Awolowo University, Ile-Ife, Nigeria.
Anya M RomanoffBreast Surgery, Dubin Breast Center, Icahn School of Medicine at The Mount Sinai Hospital, New York, New York.
May Lynn QuanDepartment of Surgery, University of Calgary, Calgary, Alberta, Canada.
Antoine Bouchard-FortierDepartment of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York.
Olusegun I AlatiseDepartment of Surgery, Obafemi Awolowo University, Ile-Ife, Nigeria.
T Peter KinghamDepartment of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748Thompson Family Foundation
6 · The paper itself

Abstract

backgroundThe majority of women in Nigeria present with advanced-stage breast cancer. To address the role of geospatial access, we constructed a geographic information-system-based model to evaluate the relationship between modeled travel time, stage at presentation, and overall survival among patients with breast cancer in Nigeria.

methodsConsecutive patients were identified from a single-institution, prospective breast cancer database (May 2009-January 2019). Patients were geographically located, and travel time to the hospital was generated using a cost-distance model that utilized open-source data. The relationships between travel time, stage at presentation, and overall survival were evaluated with logistic regression and survival analyses. Models were adjusted for age, level of education, and socioeconomic status.

resultsFrom 635 patients, 609 were successfully geographically located. The median age of the cohort was 49 years (interquartile range [IQR], 40-58 years); 84% presented with ≥stage III disease. Overall, 46.5% underwent surgery; 70.8% received systemic chemotherapy. The median estimated travel time for the cohort was 45 minutes (IQR, 7.9-79.3 minutes). Patients in the highest travel-time quintile had a 2.8-fold increase in the odds of presenting with stage III or IV disease relative to patients in the lowest travel-time quintile (P = .006). Travel time ≥30 minutes was associated with an increased risk of death (HR, 1.65; P = .004).

conclusionsGeospatial access to a tertiary care facility is independently associated with stage at presentation and overall survival among patients with breast cancer in Nigeria. Addressing disparities in access will be essential to ensure the development of an equitable health policy.

Indexed as

Health Services AccessibilityTravelAdultBreast NeoplasmsCancer Care FacilitiesDatabases, FactualFemaleGeographic Information SystemsHumansLogistic ModelsMiddle AgedNeoplasm StagingNigeriaRetrospective StudiesSurvival AnalysisTertiary Care Centersaccessbreast cancerequitygeographic information system (GIS)Nigeria

Identifiers

PMID33370458
PMCPMC8404086

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.