Evidence map›Paper›PMID 40632250›Full record

ArticleActa neurochirurgica. Supplement2025

Introducing Bayesian Analysis for Clinicians: Sex-Associated Risk Assessment of Intracranial Aneurysms.

Philippe Bijlenga, Georg Ralph Spinner, Marco Scutari, Matteo Delucchi, Sven Hirsch

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Article in Acta neurochirurgica. Supplement, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Philippe BijlengaDepartment of Neurosurgery, Department of Clinical Neurosciences, Geneva University Hospital, Faculty of Medicine, Geneva University, Geneva, Switzerland. philippe.bijlenga@hug.ch.
Georg Ralph SpinnerCentre of Computational Health, Institute of Computational Life Sciences, Zurich University of Applied Sciences (ZHAW), Wädenswil, Zurich, Switzerland.
Marco ScutariIstituto Dalle Molle di Studi sull'Intelligenza Artificiale (IDSIA), Lugano, Switzerland.
Matteo DelucchiCentre of Computational Health, Institute of Computational Life Sciences, Zurich University of Applied Sciences (ZHAW), Wädenswil, Zurich, Switzerland.
Sven HirschCentre of Computational Health, Institute of Computational Life Sciences, Zurich University of Applied Sciences (ZHAW), Wädenswil, Zurich, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionIntracranial aneurysms (IAs) are critical vascular defects potentially leading to subarachnoid hemorrhage. A Bayesian framework assists clinicians in assessing IA risks by evaluating multiple factors, including sex, due to its higher prevalence in women.

methodsThis study adopted the Bayesian theorem to quantify IA prevalence and the incidence of subsequent hemorrhage, examining sex as a pivotal risk factor for IA rupture stratification.

resultsThe Bayesian analysis revealed a greater incidence of IAs among women yet indicated that sex does not have a significant impact on the rupture risk in diagnosed patients. This finding suggests the necessity of considering other cofactors in risk evaluation.

conclusionsBayesian approaches provide clinicians with refined tools for IA risk assessment, emphasizing the complex interplay of various risk factors beyond sex. Acknowledging the limited influence of sex on rupture probability is crucial in guiding IA management. Continuous research is warranted to advance Bayesian methods, improving their clinical applicability and enhancing patient treatment outcomes.

Indexed as

Aneurysm, RupturedIntracranial AneurysmSubarachnoid HemorrhageAdultAgedBayes TheoremFemaleHumansIncidenceMaleMiddle AgedPrevalenceRisk AssessmentRisk FactorsSex FactorsBayesian networksBayes’s theoremClinical decision-makingCognitive biasesEpidemiologyIntracranial aneurysm (IA)Prospect theoryRisk factors

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PMID40632250

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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.