Evidence map›Paper›PMID 39753383›Full record

ReviewNeurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics2025

Evolving concepts in intracranial pressure monitoring - from traditional monitoring to precision medicine.

Rohan Mathur, Lin Cheng, Josiah Lim, Tej D Azad, Peter Dziedzic, Eleanor Belkin, Ivanna Joseph, Bhagyashri Bhende, Sudha Yellapantula, Niteesh Potu and 6 more

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Review
  5. Article
  6. Review
  7. Advancing neurocritical care: Bridging molecular mechanisms and physiological monitoring to neurotherapeutics.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Rohan MathurDivision of Neurosciences Critical Care, Johns Hopkins School of Medicine, Baltimore, MD, USA; Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Anesthesiology & Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA. Electronic address: rmathur2@jhmi.edu.
Lin ChengDivision of Neurosciences Critical Care, Johns Hopkins School of Medicine, Baltimore, MD, USA; Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Anesthesiology & Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA. Electronic address: lcheng29@jhmi.edu.
Josiah LimDepartment of Applied Mathematics and Statistics, Johns Hopkins University Whiting School of Engineering, Baltimore, MD, USA. Electronic address: jlim76@jhu.edu.
Tej D AzadDepartment of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA. Electronic address: tazad1@jhmi.edu.
Peter DziedzicDivision of Neurosciences Critical Care, Johns Hopkins School of Medicine, Baltimore, MD, USA; Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA. Electronic address: phd@jh.edu.
Eleanor BelkinDepartment of Applied Mathematics and Statistics, Johns Hopkins University Whiting School of Engineering, Baltimore, MD, USA. Electronic address: ebelkin1@jhu.edu.
Ivanna JosephDivision of Neurosciences Critical Care, Johns Hopkins School of Medicine, Baltimore, MD, USA; Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Anesthesiology & Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA. Electronic address: ijoseph5@jh.edu.
Bhagyashri BhendeDivision of Neurosciences Critical Care, Johns Hopkins School of Medicine, Baltimore, MD, USA; Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Anesthesiology & Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA. Electronic address: bbhende1@jhmi.edu.
Sudha YellapantulaMedical Informatics Corporation, Houston, TX, USA. Electronic address: sudha.yellapantula@michealthcare.com.
Niteesh PotuDivision of Neurosciences Critical Care, Johns Hopkins School of Medicine, Baltimore, MD, USA; Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA. Electronic address: Npotu1@jhmi.edu.
Austen LefebvreDivision of Neurosciences Critical Care, Johns Hopkins School of Medicine, Baltimore, MD, USA; Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Anesthesiology & Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA. Electronic address: alefebv3@jhmi.edu.
Vishank ShahDivision of Neurosciences Critical Care, Johns Hopkins School of Medicine, Baltimore, MD, USA; Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Anesthesiology & Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA. Electronic address: vshah21@jhmi.edu.
Susanne MuehlschlegelDivision of Neurosciences Critical Care, Johns Hopkins School of Medicine, Baltimore, MD, USA; Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Anesthesiology & Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA. Electronic address: smuehlsch@jhu.edu.
Julian BoselDivision of Neurosciences Critical Care, Johns Hopkins School of Medicine, Baltimore, MD, USA; Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Anesthesiology & Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Neurology, University Hospital Heidelberg, Heidelberg, Germany. Electronic address: jbosel1@jh.edu.
Tamas BudavariDepartment of Applied Mathematics and Statistics, Johns Hopkins University Whiting School of Engineering, Baltimore, MD, USA. Electronic address: budavari@jhu.edu.
Jose I SuarezDivision of Neurosciences Critical Care, Johns Hopkins School of Medicine, Baltimore, MD, USA; Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Anesthesiology & Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA. Electronic address: jsuarez5@jhmi.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A wide range of acute brain injuries, including both traumatic and non-traumatic causes, can result in elevated intracranial pressure (ICP), which in turn can cause further secondary injury to the brain, initiating a vicious cascade of propagating injury. Elevated ICP is therefore a neurological injury that requires intensive monitoring and time-sensitive interventions. Patients at high risk for developing elevated ICP undergo placement of invasive ICP monitors including external ventricular drains, intraparenchymal ICP monitors, and lumbar drains. These monitors all generate an ICP waveform, but each has its own unique caveats in monitoring and accuracy. Current ICP monitoring and management clinical guidelines focus on the mean ICP derived from the ICP waveform, with standard thresholds of treating ICP greater than 20 ​mmHg or 22 ​mmHg applied broadly to a wide range of patients. However, this one-size fits all approach has been criticized and there is a need to develop personalized, evidence-based and possibly multi-factorial precision-medicine based approaches to the problem. This paper provides historical and physiological context to the problem of elevated ICP, provides an overview of the challenges of the current paradigm of ICP management strategies, and discusses advances in ICP waveform analysis, emerging non-invasive ICP monitoring techniques, and applications of machine learning to create predictive algorithms.

Indexed as

Intracranial HypertensionIntracranial PressureNeurophysiological MonitoringPrecision MedicineHumansMonitoring, PhysiologicAcute brain injuryExternal ventricular drainHistoryICP predictionIntracranial pressureMachine learning

Identifiers

PMID39753383
PMCPMC11840348

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.