ReviewBundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz2025
[Spatial health data and scientific standards for their analysis].
Review in Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz, 2025. 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
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Spatial analyses of health-related data require a sound knowledge of spatial data and specific methods. The selection and appropriate use of suitable data and methodological procedures depends on the content and methodological questions as well as the objectives of the underlying scientific study. General and specific scientific standards known as "best practices" help with the concrete planning, preparation, implementation, data analysis, and interpretation of results of scientific studies. This article first defines and characterizes spatial data and highlights typical questions and methodological challenges. An overview of best practices in this area is provided. Good epidemiological practice, good cartographic practice in healthcare, and good accessibility analysis practices, which are presented in this article, are suitable for spatial analyses. They offer scientists a helpful framework for orientation, from which, however, justified deviations are possible.
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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.