ReviewFrontiers in neurology2020
Intracranial Pressure Monitoring Signals After Traumatic Brain Injury: A Narrative Overview and Conceptual Data Science Framework.
Review in Frontiers in neurology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
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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.
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.
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Who cites it
14 citing papers in PubMed.
- Characterization of intracranial pressure variations in ventricular and subarachnoid spaces of the rat brain.Journal of applied physiology (Bethesda, Md. : 1985) · 2026Article
- Intracranial pressure, neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, C-reactive protein, and D-dimer mortality predictors in isolated severe traumatic brain injury.Surgical neurology international · 2026Article
- Continuous Intracranial Pressure Monitoring in Children with 'Benign' External Hydrocephalus.Journal of clinical medicine · 2025Article
- Deriving Automated Device Metadata From Intracranial Pressure Waveforms: A Transforming Research and Clinical Knowledge in Traumatic Brain Injury ICU Physiology Cohort Analysis.Critical care explorations · 2024Article
- In Situ Polymer-Solution-Processed Graphene-PDMS Nanocomposites for Application in Intracranial Pressure Sensors.Nanomaterials (Basel, Switzerland) · 2024Article
- Intracranial Pressure Dysfunction Following Severe Intracerebral Hemorrhage in Middle-Aged Rats.Translational stroke research · 2023Article
- Transcranial, Non-Invasive Evaluation of Potential Misery Perfusion During Hyperventilation Therapy of Traumatic Brain Injury Patients.Journal of neurotrauma · 2023Article
- Intracranial pressure for clinicians: it is not just a number.Journal of anesthesia, analgesia and critical care · 2023Review
- Automatic identification of intracranial pressure waveform during external ventricular drainage clamping: segmentation via wavelet analysis.Physiological measurement · 2023Article
- Probabilistic prediction of increased intracranial pressure in patients with severe traumatic brain injury.Scientific reports · 2022Article
- Spindle wave in intracranial pressure signal analysis for patients with traumatic brain injury: A single-center prospective observational cohort study.Frontiers in physiology · 2022Article
- Computational fluid dynamics model to predict the dynamical behavior of the cerebrospinal fluid through implementation of physiological boundary conditions.Frontiers in bioengineering and biotechnology · 2022Article
- Machine Learning-Based Continuous Intracranial Pressure Prediction for Traumatic Injury Patients.IEEE journal of translational engineering in health and medicine · 2022Article
- Intracranial Compliance Assessed by Intracranial Pressure Pulse Waveform.Brain sciences · 2021Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Continuous intracranial pressure (ICP) monitoring is a cornerstone of neurocritical care after severe brain injuries such as traumatic brain injury and acts as a biomarker of secondary brain injury. With the rapid development of artificial intelligent (AI) approaches to data analysis, the acquisition, storage, real-time analysis, and interpretation of physiological signal data can bring insights to the field of neurocritical care bioinformatics. We review the existing literature on the quantification and analysis of the ICP waveform and present an integrated framework to incorporate signal processing tools, advanced statistical methods, and machine learning techniques in order to comprehensively understand the ICP signal and its clinical importance. Our goals were to identify the strengths and pitfalls of existing methods for data cleaning, information extraction, and application. In particular, we describe the use of ICP signal analytics to detect intracranial hypertension and to predict both short-term intracranial hypertension and long-term clinical outcome. We provide a well-organized roadmap for future researchers based on existing literature and a computational approach to clinically-relevant biomedical signal data.
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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.