ReviewRevista Cuidarte
Geographic information systems for occupational cancer surveillance: a scoping review.
Review in Revista Cuidarte. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Geographic Information Systems (GIS) are key tools for managing spatial data and understanding the determinants of occupational cancer. Objective: To evaluate the applications, advantages, and limitations of GIS in the surveillance of occupational cancer. Materials and Methods: : A systematic scoping review was conducted using PubMed, Embase, Scopus, and Bireme databases, following the Population, Context, and Concept (PCC) framework outlined in the Joanna Briggs Institute (JBI) methodological guidelines and the PRISMA ScR. A semi-automated process supported by Rayyan® software was employed for study selection. The variables identified were transferred to a spreadsheet for qualitative analysis and synthesis. Results: A total of 55 articles were included, addressing various cancer types and exposure to industrial emissions and potentially carcinogenic pollutants. The most commonly used GIS, spatial analysis methodologies, and the main advantages and limitations of their use were identified in monitoring morbidity and mortality, equity, timeliness, coverage, and access to health services, as well as in modeling environmental agents. Discussion: GIS advance cancer research by integrating and analyzing diverse datasets, mapping cases, and identifying risk factors. Challenges include data accuracy, incomplete records, and omission of socioeconomic variables. Despite limitations, GIS support cancer surveillance, occupational health policies, and prevention plans. Conclusion: GIS are valuable tools for cancer surveillance, as they improve understanding of the geographic patterns of exposure and associated variables, providing critical insights for public policy formulation, healthcare planning, and preventive strategies.
Indexed as
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What OpenQuestion holds
Registered trials
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.