Evidence map›Paper›PMID 41337602›Full record

ArticleEpidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil2025

Geographic disparities and temporal trends regarding access to cancer treatment: a spatial analysis, Brazil, 2015-2022.

Eduardo Lima de Sousa, Francisco das Chagas de Araújo Rodrigues, Joao Gabriel de Carvalho Saraiva, Ruana Stephany Macedo Santos, Dessana Gomes Medeiros Zagury, Graziela Eulália de Brito

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Article in Epidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
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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

6 authors.

Eduardo Lima de SousaUniversidade Federal do Piauí, Teresina, PI, Brazil.ORCID http://orcid.org/0000-0001-6927-8076
Francisco das Chagas de Araújo RodriguesUniversidade Federal do Piauí, Teresina, PI, Brazil.ORCID http://orcid.org/0009-0006-2169-6053
Joao Gabriel de Carvalho SaraivaUniversidade Federal do Piauí, Teresina, PI, Brazil.ORCID http://orcid.org/0009-0003-3802-3267
Ruana Stephany Macedo SantosUniversidade Federal do Piauí, Teresina, PI, Brazil.ORCID http://orcid.org/0000-0002-6404-2707
Dessana Gomes Medeiros ZaguryUniversidade Federal do Piauí, Teresina, PI, Brazil.ORCID http://orcid.org/0009-0009-2006-3504
Graziela Eulália de BritoUniversidade Federal do Piauí, Teresina, PI, Brazil.ORCID http://orcid.org/0009-0004-1536-1463

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo analyze spatial clusters and temporal trends regarding patients commuting to access cancer treatment in Brazil between 2015 and 2022.

methodsThis was a spatial analysis using data from hospital and outpatient information systems (2015-2022). Absolute and relative frequencies of treatments (surgery, chemotherapy, and radiotherapy) and commuting patterns were calculated. Cluster analysis (K-means) categorized distances into three intervals: low (2.1-261.4 km), medium (261.6-762.2 km), and high (764.0-3,865.8 km). Temporal trends were assessed by Prais-Winsten regression, estimating annual percentage change (β) and confidence intervals (95%CI) as a measure of dispersion.

resultsOf the 27,204,159 cancer services provided, 55.2% involved displacement to other municipalities. During the period, 3.6% of patients received surgical treatment, 7.1% received radiotherapy, and 89.3% received chemotherapy. There was a reduction in the distances traveled for hospitalization, from 93.0 km in 2015 to 84.2 km in 2022, with an annual decrease of 0.8% (95%CI -0.9; -0.7). For chemotherapy, the reduction was from 87.8 km to 83.5 km, with a variation of -0.4% per year (95%CI -0.4; -0.3). Distances for radiotherapy remained stable, with a slight variation of -0.3% (95%CI -0.9; 0.2).

conclusionThe reduction in the distance traveled for hospitalization and chemotherapy contrasts with the stability in radiotherapy. The maintenance of long journeys for radiotherapy highlights disparities in the geographical distribution of these services. Thus, the urgency of decentralizing oncology services and investing in regional infrastructure is underscored to ensure access for the population, particularly those residing in rural and remote areas, and to guarantee equitable access to highly complex treatments.

Indexed as

Healthcare DisparitiesHealth Services AccessibilityNeoplasmsTransportationBrazilCluster AnalysisHospitalizationHumansSpatial AnalysisSpatio-Temporal Analysis

Identifiers

PMID41337602
PMCPMC12668355

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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.