ReviewJournal of clinical medicine2021
In Silico Mathematical Modelling for Glioblastoma: A Critical Review and a Patient-Specific Case.
Review in Journal of clinical medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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
16 citing papers in PubMed.
- Breaking Barriers: Advancements in CNS Drug Delivery for Glioblastoma.Medical sciences (Basel, Switzerland) · 2026Review
- Informing development of brain cancer therapies within "preclinical trials" using ex vivo patient tumors.Advanced drug delivery reviews · 2026Review
- Review
- Advances and critical aspects in cancer treatment development using digital twins.Briefings in bioinformatics · 2025Review
- Drosophila melanogaster as a Model System for Human Glioblastoma.Advances in experimental medicine and biology · 2025Review
- The self-organized structure of glioma oncostreams and the disruptive role of passive cells.Scientific reports · 2024Article
- Spatial computational modelling illuminates the role of the tumour microenvironment for treating glioblastoma with immunotherapies.NPJ systems biology and applications · 2024Article
- Current Advances in the Use of Tissue Engineering for Cancer Metastasis Therapeutics.Polymers · 2024Review
- Understanding Glioblastoma Signaling, Heterogeneity, Invasiveness, and Drug Delivery Barriers.International journal of molecular sciences · 2023Review
- Traveling wave speed and profile of a "go or grow" glioblastoma multiforme model.Communications in nonlinear science & numerical simulation · 2023Article
- Data-driven spatio-temporal modelling of glioblastoma.Royal Society open science · 2023Review
- Towards an Established Intraoperative Oncological Favorable Tool: Results of Fluorescein-Guided Resection from a Monocentric, Prospective Series of 93 Primary Glioblastoma Patients.Journal of clinical medicine · 2022Article
- Earlier Detection of Brain Tumor by Pre-Processing Based on Histogram Equalization with Neural Network.Healthcare (Basel, Switzerland) · 2022Article
- Agent-based computational modeling of glioblastoma predicts that stromal density is central to oncolytic virus efficacy.iScience · 2022Article
- Traveling waves of an FKPP-type model for self-organized growth.Journal of mathematical biology · 2022Article
- Article
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
Glioblastoma extensively infiltrates the brain; despite surgery and aggressive therapies, the prognosis is poor. A multidisciplinary approach combining mathematical, clinical and radiological data has the potential to foster our understanding of glioblastoma evolution in every single patient, with the aim of tailoring therapeutic weapons. In particular, the ultimate goal of biomathematics for cancer is the identification of the most suitable theoretical models and simulation tools, both to describe the biological complexity of carcinogenesis and to predict tumor evolution. In this report, we describe the results of a critical review about different mathematical models in neuro-oncology with their clinical implications. A comprehensive literature search and review for English-language articles concerning mathematical modelling in glioblastoma has been conducted. The review explored the different proposed models, classifying them and indicating the significative advances of each one. Furthermore, we present a specific case of a glioblastoma patient in which our recently proposed innovative mechanical model has been applied. The results of the mathematical models have the potential to provide a relevant benefit for clinicians and, more importantly, they might drive progress towards improving tumor control and patient's prognosis. Further prospective comparative trials, however, are still necessary to prove the impact of mathematical neuro-oncology in clinical practice.
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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.