Evidence map›Paper›PMID 39747195›Full record

ArticleScientific reports2025

TILTomorrow today: dynamic factors predicting changes in intracranial pressure treatment intensity after traumatic brain injury.

Shubhayu Bhattacharyay, Florian D van Leeuwen, Erta Beqiri, Cecilia A I Åkerlund, Lindsay Wilson, Ewout W Steyerberg, David W Nelson, Andrew I R Maas, David K Menon, Ari Ercole and 1 more

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In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Advances in Multimodality Monitoring in Traumatic Brain Injury.Current neurology and neuroscience reports · 2026
    Review
  2. Review
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

11 authors.

Shubhayu BhattacharyayDivision of Anaesthesia, University of Cambridge, Cambridge, UK. shubhayu@hms.harvard.edu.
Florian D van LeeuwenDepartment of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands.
Erta BeqiriBrain Physics Laboratory, Division of Neurosurgery, University of Cambridge, Cambridge, UK.
Cecilia A I ÅkerlundDepartment of Physiology and Pharmacology, Section for Perioperative Medicine and Intensive Care, Karolinska Institutet, Stockholm, Sweden.
Lindsay WilsonDivision of Psychology, University of Stirling, Stirling, UK.
Ewout W SteyerbergDepartment of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands.
David W NelsonDepartment of Physiology and Pharmacology, Section for Perioperative Medicine and Intensive Care, Karolinska Institutet, Stockholm, Sweden.
Andrew I R MaasDepartment of Neurosurgery, Antwerp University Hospital, Edegem, Belgium.
David K MenonDivision of Anaesthesia, University of Cambridge, Cambridge, UK.
Ari ErcoleDivision of Anaesthesia, University of Cambridge, Cambridge, UK.
CENTER-TBI investigators and participants

Funding

Medical Research Council MR N013433-1Seventh Framework Programme 602150
6 · The paper itself

Abstract

Practices for controlling intracranial pressure (ICP) in traumatic brain injury (TBI) patients admitted to the intensive care unit (ICU) vary considerably between centres. To help understand the rational basis for such variance in care, this study aims to identify the patient-level predictors of changes in ICP management. We extracted all heterogeneous data (2008 pre-ICU and ICU variables) collected from a prospective cohort (n = 844, 51 ICUs) of ICP-monitored TBI patients in the Collaborative European NeuroTrauma Effectiveness Research in TBI study. We developed the TILTomorrow modelling strategy, which leverages recurrent neural networks to map a token-embedded time series representation of all variables (including missing values) to an ordinal, dynamic prediction of the following day's five-category therapy intensity level (TIL

Indexed as

Brain Injuries, TraumaticIntensive Care UnitsIntracranial PressureAdultAlgorithmsFemaleHumansIntracranial HypertensionMaleMiddle AgedNeural Networks, ComputerProspective StudiesData miningIntensive care unitIntracranial pressureMachine learningTherapy intensity levelTraumatic brain injury

Identifiers

PMID39747195
PMCPMC11696189

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.