ArticleNature communications2021
In-silico trial of intracranial flow diverters replicates and expands insights from conventional clinical trials.
Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05526352 (@neurIST), which is not on this map. Cited by 35 papers, 2 of them syntheses that pooled it.
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.
@neurIST : Informatique biomédicale intégrée Pour la Gestion Des anévrismes cérébraux
Who cites it
35 citing papers in PubMed, 2 syntheses or guidelines pooled it, 68 citations in OpenAlex.
- Regulatory Adoption of AI, ML, Computational Modeling & Simulation in In-Silico Clinical Trials for Medical Devices: A Systematic Review.Therapeutic innovation & regulatory science · 2026Pooled it
- Clinical Data for Parametrization ofFrontiers in bioengineering and biotechnology · 2022Pooled it
- Ensuring the quality of in silico evidence: application to medical devices.Briefings in bioinformatics · 2026Article
- Advancing AI for multi-omics and clinical data integration in basic and translational cancer research.Nature reviews. Cancer · 2026Review
- Computational tools for personalizing treatment of acute respiratory failure, from machine learning to digital twins: a narrative review.Critical care (London, England) · 2026Review
- Evaluating flow modulating treatment response in intracranial aneurysms using black-blood MRI in vitro.Communications medicine · 2026Article
- Computational Modeling of Flow in an in Vitro Cerebrovascular Model Under Pulsatile Conditions with Experimental Validation.Cardiovascular engineering and technology · 2026Article
- Automated generation of ablation lesion masks: a unison of electro and optic flow mapping for persistent AF virtual cohorts.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2026Article
- Off-label in-silico flow diverter performance assessment in posterior communicating artery aneurysms.Journal of neurointerventional surgery · 2025Article
- A Framework for Generating Realistic Synthetic Tabular Data in a Randomized Controlled Trial Setting.Statistics in medicine · 2025Article
- Advances in medical devices using nanomaterials and nanotechnology: Innovation and regulatory science.Bioactive materials · 2025Review
- Digital twins for the era of personalized surgery.NPJ digital medicine · 2025Review
- Computational modelling of biological systems now and then: revisiting tools and visions from the beginning of the century.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2025Review
- Article
- An open source statistical web application for validation and analysis of virtual cohorts.Scientific reports · 2025Article
- Role of biomechanical factors in plaque rupture and erosion: insight from intravascular imaging based computational modeling.NPJ cardiovascular health · 2025Review
- Investigating Delayed Rupture of Flow Diverter-Treated Giant Aneurysm Using Simulated Fluid-Structure Interactions.Bioengineering (Basel, Switzerland) · 2025Article
- Developing technologies to assess vascular ageing: a roadmap from VascAgeNet.Physiological measurement · 2024Review
- Probing the limits and capabilities of diffusion models for the anatomic editing of digital twins.NPJ digital medicine · 2024Article
- Comparison of Flow Reduction Efficacy of Nominal and Oversized Flow Diverters Using a Novel Measurement-assisted in Silico Method.Clinical neuroradiology · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The cost of clinical trials is ever-increasing. In-silico trials rely on virtual populations and interventions simulated using patient-specific models and may offer a solution to lower these costs. We present the flow diverter performance assessment (FD-PASS) in-silico trial, which models the treatment of intracranial aneurysms in 164 virtual patients with 82 distinct anatomies with a flow-diverting stent, using computational fluid dynamics to quantify post-treatment flow reduction. The predicted FD-PASS flow-diversion success rates replicate the values previously reported in three clinical trials. The in-silico approach allows broader investigation of factors associated with insufficient flow reduction than feasible in a conventional trial. Our findings demonstrate that in-silico trials of endovascular medical devices can: (i) replicate findings of conventional clinical trials, and (ii) perform virtual experiments and sub-group analyses that are difficult or impossible in conventional trials to discover new insights on treatment failure, e.g. in the presence of side-branches or hypertension.
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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.