La importancia de los datos: control de las variables en la inferencia de causalidad con imagen médica

IF 1.1 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING RADIOLOGIA Pub Date : 2025-03-01 DOI:10.1016/j.rx.2024.08.003
C.M. Baracaldo Silva , P.M. Martínez Gironés , A. Galiana Bordera , L. Cerdá-Alberich , D. Martí-Aguado , C. García Villar , L. Martí-Bonmatí
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Abstract

Background and objective

In scientific studies with medical imaging, it is important that the process involved in selecting the explanatory variables is closely monitored, as this can lead to significant confounding biases in its methodology. The aim of this paper is to explore whether it is feasible to use criteria for causation (such as those outlined by Bradford Hill) when selecting variables in articles published in the journal RADIOLOGÍA.

Material and methods

We selected the July-August issue of RADIOLOGÍA, issue 4 of 2023. Four original articles with sample sizes of at least 100 patients were chosen and their follow-up of causation was analysed.

Results

The criteria of temporality, consistency, coherence, plausibility and analogy were observed. The criteria of specificity, experiment, strength and biological gradient were not consistently applied. The methodological robustness and quality of these studies was also noted.

Conclusion

Bradford Hill's criteria for causation are useful for the selection of variables in medical imaging studies. The most relevant criteria in medical imaging are temporality, consistency, coherence, plausibility and analogy.
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来源期刊
RADIOLOGIA
RADIOLOGIA RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING-
CiteScore
1.60
自引率
7.70%
发文量
105
审稿时长
52 days
期刊介绍: La mejor revista para conocer de primera mano los originales más relevantes en la especialidad y las revisiones, casos y notas clínicas de mayor interés profesional. Además es la Publicación Oficial de la Sociedad Española de Radiología Médica.
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