ArticleNeurology2015
The unruptured intracranial aneurysm treatment score: a multidisciplinary consensus.
Article in Neurology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 165 papers, 5 of them syntheses that pooled 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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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.
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Who cites it
165 citing papers in PubMed, 5 syntheses or guidelines pooled it, 396 citations in OpenAlex.
- Machine Learning Algorithms to Predict the Risk of Rupture of Intracranial Aneurysms: a Systematic Review.Clinical neuroradiology · 2025Pooled it
- Imaging of intracranial aneurysms in animals: a systematic review of modalities.Neurosurgical review · 2023Pooled it
- Clinical outcomes of pipeline embolization devices with shield technology for treating intracranial aneurysms.Frontiers in neurology · 2022Pooled it
- In the wall lies the truth: a systematic review of diagnostic markers in intracranial aneurysms.Brain pathology (Zurich, Switzerland) · 2020Pooled it
- Pooled it
- In-hospital mortality in small (≤ 5 mm) intracranial aneurysms: associations with rupture status, treatment, and complications in a multicenter Latin American cohort.Neurosurgical review · 2026Observational
- Inter-Model Variability of ChatGPT, Gemini and Claude in Treatment Recommendations for Unruptured Intracranial Aneurysms.Neurosurgical review · 2026Article
- Graph and Geometric Deep Learning for Intracranial Aneurysm Geometry and Hemodynamics: A Systematic Review with Implications for Neurovascular Implant Design and Evaluation.Life (Basel, Switzerland) · 2026Review
- Impact of anxiety and mood disorders on elective flow diversion for unruptured intracranial aneurysms: propensity score-matched analyses of two large databases.Journal of neurointerventional surgery · 2026Article
- Perforator-Aware Explainable Microsurgical Intelligence for Basilar Trunk Aneurysm Reconstruction: A Human-Centred Clinical AI Framework for Precision Neurovascular Surgery-A Retrospective Single-Centre Study.Journal of clinical medicine · 2026Article
- Article
- Risk Models for Adverse Events in Microsurgery for Intracranial Unruptured Aneurysms.Neurosurgery · 2026Article
- GLP-1 Receptor Agonist Use Is Associated With Lower Risk of Intracranial Aneurysm Rupture and Rupture Severity.Stroke · 2026Article
- Novel Morphological Classification of Intracranial Aneurysm Wall Irregularity Associates Specific Features with Increased Size and Rupture Risk: A Retrospective Single-Center Cross-Sectional Study.Neurology international · 2026Article
- A wide-necked saccular aneurysm of the middle cerebral artery bifurcation with neck atherosclerosis mimicking a fusiform aneurysm: illustrative case.Journal of neurosurgery. Case lessons · 2026Article
- Multiple Saccular Aneurysms of the Posterior Cerebral Artery With Mass Effect: A Case Report.Cureus · 2026Article
- Investigation of Contrast Retention in PCOM Aneurysms as a Possible Marker for Instability and Rupture.International journal for numerical methods in biomedical engineering · 2026Article
- Morphological characteristics of brain aneurysms among age groups.Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences · 2026Article
- Radiomics model for risk stratification of intracranial aneurysm: a high-resolution vessel wall imaging-based study.BMC medical imaging · 2026Article
- ECG-Gated 4D-CTA Assessment of Intracranial Aneurysm Wall Dynamics and Longitudinal Size Change: An Exploratory Study.Neurology international · 2026Article
105 more citing papers are in PubMed but not listed here.
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Authors and funding
71 authors at 1 institution in 1 country.
Funding
Abstract
objectiveWe endeavored to develop an unruptured intracranial aneurysm (UIA) treatment score (UIATS) model that includes and quantifies key factors involved in clinical decision-making in the management of UIAs and to assess agreement for this model among specialists in UIA management and research.
methodsAn international multidisciplinary (neurosurgery, neuroradiology, neurology, clinical epidemiology) group of 69 specialists was convened to develop and validate the UIATS model using a Delphi consensus. For internal (39 panel members involved in identification of relevant features) and external validation (30 independent external reviewers), 30 selected UIA cases were used to analyze agreement with UIATS management recommendations based on a 5-point Likert scale (5 indicating strong agreement). Interrater agreement (IRA) was assessed with standardized coefficients of dispersion (vr*) (vr* = 0 indicating excellent agreement and vr* = 1 indicating poor agreement).
resultsThe UIATS accounts for 29 key factors in UIA management. Agreement with UIATS (mean Likert scores) was 4.2 (95% confidence interval [CI] 4.1-4.3) per reviewer for both reviewer cohorts; agreement per case was 4.3 (95% CI 4.1-4.4) for panel members and 4.5 (95% CI 4.3-4.6) for external reviewers (p = 0.017). Mean Likert scores were 4.2 (95% CI 4.1-4.3) for interventional reviewers (n = 56) and 4.1 (95% CI 3.9-4.4) for noninterventional reviewers (n = 12) (p = 0.290). Overall IRA (vr*) for both cohorts was 0.026 (95% CI 0.019-0.033).
conclusionsThis novel UIA decision guidance study captures an excellent consensus among highly informed individuals on UIA management, irrespective of their underlying specialty. Clinicians can use the UIATS as a comprehensive mechanism for indicating how a large group of specialists might manage an individual patient with a UIA.
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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.