Evidence map›Paper›PMID 40165332›Full record

ReviewCritical care (London, England)2025

Unlocking the potential of high-resolution multimodality neuromonitoring for traumatic brain injury management: lessons and insights from cases, events, and patterns.

Stefan Yu Bögli, Erta Beqiri, Ihsane Olakorede, Marina Sandra Cherchi, Claudia Ann Smith, Xuhang Chen, Guido Di Tommaso, Tommaso Rochat, Masumi Tanaka Gutiez, Giada Cucciolini and 6 more

Abstract readReview
In one paragraph

Review in Critical care (London, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–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

13 citing papers in PubMed.

  1. Article
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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.

Stefan Yu BögliBrain Physics Laboratory, Division of Neurosurgery, Department of Clinical Neurosciences, Addenbrookes Hospital, University of Cambridge, Cambridge, UK. stefanyu.boegli@usz.ch.ORCID http://orcid.org/0000-0001-5386-0811
Erta BeqiriBrain Physics Laboratory, Division of Neurosurgery, Department of Clinical Neurosciences, Addenbrookes Hospital, University of Cambridge, Cambridge, UK.
Ihsane OlakoredeBrain Physics Laboratory, Division of Neurosurgery, Department of Clinical Neurosciences, Addenbrookes Hospital, University of Cambridge, Cambridge, UK.
Marina Sandra CherchiBrain Physics Laboratory, Division of Neurosurgery, Department of Clinical Neurosciences, Addenbrookes Hospital, University of Cambridge, Cambridge, UK.
Claudia Ann SmithBrain Physics Laboratory, Division of Neurosurgery, Department of Clinical Neurosciences, Addenbrookes Hospital, University of Cambridge, Cambridge, UK.
Xuhang ChenBrain Physics Laboratory, Division of Neurosurgery, Department of Clinical Neurosciences, Addenbrookes Hospital, University of Cambridge, Cambridge, UK.
Guido Di TommasoBrain Physics Laboratory, Division of Neurosurgery, Department of Clinical Neurosciences, Addenbrookes Hospital, University of Cambridge, Cambridge, UK.
Tommaso RochatBrain Physics Laboratory, Division of Neurosurgery, Department of Clinical Neurosciences, Addenbrookes Hospital, University of Cambridge, Cambridge, UK.
Masumi Tanaka GutiezBrain Physics Laboratory, Division of Neurosurgery, Department of Clinical Neurosciences, Addenbrookes Hospital, University of Cambridge, Cambridge, UK.
Giada CuccioliniBrain Physics Laboratory, Division of Neurosurgery, Department of Clinical Neurosciences, Addenbrookes Hospital, University of Cambridge, Cambridge, UK.
Virginia MotroniBrain Physics Laboratory, Division of Neurosurgery, Department of Clinical Neurosciences, Addenbrookes Hospital, University of Cambridge, Cambridge, UK.
Adel HelmyDivision of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK.
Peter HutchinsonDivision of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK.
Andrea Lavinio *Division of Anaesthesia, Department of Medicine, University of Cambridge, Cambridge, UK.
Virginia F J Newcombe *Department of Medicine, University of Cambridge, Cambridge, UK.
Peter Smielewski *Brain Physics Laboratory, Division of Neurosurgery, Department of Clinical Neurosciences, Addenbrookes Hospital, University of Cambridge, Cambridge, UK.

Funding

Cantabrian Health Service Lopez Albo Post-Residency Program PESI/1/22Medical Research Council and Gates MR N013433-1Medical Research Council/Royal College of Surgeons of England Clinical Research Training Fellowship, the NIHR Biomedical Research Centre and the NIHR Brain Injury Health Technology Co-operative G0802251,MR/X021882/1, MR/Z504890/1, MR/Y008502/1Swiss National Science Foundation 210839/225270
6 · The paper itself

Abstract

Multimodality neuromonitoring represents a crucial cornerstone for patient management after acute brain injury. Despite the potential of multimodality neuromonitoring (particularly high-resolution neuromonitoring data) to transform care, its full benefits are not yet universally realized. There remains a critical need to integrate the interpretation of complex patterns and indices into the real-time clinical decision-making processes. This requires a multidisciplinary approach, to evaluate and discuss the implications of observed patterns in a timely manner, ideally in close temporal proximity to their occurrence. Such a collaborative effort could enable clinicians to harness the full potential of multimodal data. In this educational case-based scoping review, we aim to provide clinicians, researchers, and healthcare professionals with detailed, compelling examples of potential applications of multimodality neuromonitoring, focused on high-resolution modalities within the field of traumatic brain injury. This case series showcases how neuromonitoring modalities such as intracranial pressure, brain tissue oxygenation, near-infrared spectroscopy, and transcranial Doppler can be integrated with cerebral microdialysis, neuroimaging and systemic physiology monitoring. The aim is to demonstrate the value of a multimodal approach based on high-resolution data and derived indices integrated in one monitoring tool, allowing for the improvement of diagnosis, monitoring, and treatment of patients with traumatic brain injury. For this purpose, key concepts are covered, and various cases have been described to illustrate how to make the most of this advanced monitoring technology.

Indexed as

Brain Injuries, TraumaticNeurophysiological MonitoringHumansIntracranial PressureMaleMicrodialysisMonitoring, PhysiologicNeuroimagingSpectroscopy, Near-InfraredUltrasonography, Doppler, TranscranialEducationMultimodality neuromonitoringPatient managementTraumatic brain injury

Identifiers

PMID40165332
PMCPMC11956216

What OpenQuestion holds

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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.