Evidence map›Paper›PMID 37582732›Full record

ArticleBMC neurology2023

Plasma neurofilament light admission levels and development of axonal pathology in mild traumatic brain injury.

Iftakher Hossain, Mehrbod Mohammadian, Henna-Riikka Maanpää, Riikka S K Takala, Olli Tenovuo, Mark van Gils, Peter Hutchinson, David K Menon, Virginia F Newcombe, Jussi Tallus and 6 more

Open access · goldAbstract read
In one paragraph

Article in BMC neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.2field-weighted citation impact, top 7% of its field
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

11 citing papers in PubMed, 15 citations in OpenAlex.

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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 at 8 institutions in 3 countries.

Iftakher Hossain *Department of Neurosurgery, Neurocenter, Turku University Hospital, Turku, Finland. ifthos@utu.fi.
Mehrbod Mohammadian *Turku Brain Injury Center, Turku University Hospital, Turku, Finland.
Henna-Riikka MaanpääDepartment of Neurosurgery, Neurocenter, Turku University Hospital, Turku, Finland.
Riikka S K TakalaIntensive Care Medicine and Pain Management, Perioperative Services, Turku University Hospital and University of Turku, Turku, Finland.
Olli TenovuoDepartment of Clinical Neurosciences, University of Turku, Turku, Finland.
Mark van GilsFaculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
Peter HutchinsonDepartment of Clinical Neurosciences, Neurosurgery Unit, University of Cambridge, Addenbrooke's Hospital, Cambridge, UK.
David K MenonDivision of Anaesthesia, University of Cambridge, Addenbrooke's Hospital, Cambridge, UK.
Virginia F NewcombeDivision of Anaesthesia, University of Cambridge, Addenbrooke's Hospital, Cambridge, UK.
Jussi TallusTurku Brain Injury Center, Turku University Hospital, Turku, Finland.
Jussi HirvonenDepartment of Radiology, University of Turku and Turku University Hospital, Turku, Finland.
Timo RoineTurku Brain and Mind Center, University of Turku, Turku, Finland.
Timo KurkiTurku Brain Injury Center, Turku University Hospital, Turku, Finland.
Kaj Blennow *Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.
Henrik Zetterberg *Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.
Jussi P Posti *Department of Neurosurgery, Neurocenter, Turku University Hospital, Turku, Finland.
Turku University Hospital · FIUniversity of Cambridge · GBUniversity of Turku · FIAalto University · FIAddenbrooke's Hospital · GBTampere University · FIUniversity College London · GBUniversity of Gothenburg · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIt is known that blood levels of neurofilament light (NF-L) and diffusion-weighted magnetic resonance imaging (DW-MRI) are both associated with outcome of patients with mild traumatic brain injury (mTBI). Here, we sought to examine the association between admission levels of plasma NF-L and white matter (WM) integrity in post-acute stage DW-MRI in patients with mTBI.

methodsNinety-three patients with mTBI (GCS ≥ 13), blood sample for NF-L within 24 h of admission, and DW-MRI ≥ 90 days post-injury (median = 229) were included. Mean fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity (RD) were calculated from the skeletonized WM tracts of the whole brain. Outcome was assessed using the Extended Glasgow Outcome Scale (GOSE) at the time of imaging. Patients were divided into CT-positive and -negative, and complete (GOSE = 8) and incomplete recovery (GOSE < 8) groups.

resultsThe levels of NF-L and FA correlated negatively in the whole cohort (p = 0.002), in CT-positive patients (p = 0.016), and in those with incomplete recovery (p = 0.005). The same groups showed a positive correlation with mean MD, AD, and RD (p < 0.001-p = 0.011). In CT-negative patients or in patients with full recovery, significant correlations were not found.

conclusionIn patients with mTBI, the significant correlation between NF-L levels at admission and diffusion tensor imaging (DTI) measurements of diffuse axonal injury (DAI) over more than 3 months suggests that the early levels of plasma NF-L may associate with the presence of DAI at a later phase of TBI.

Indexed as

Brain ConcussionBrain Injuries, TraumaticWhite MatterBrainDiffusion Magnetic Resonance ImagingDiffusion Tensor ImagingHumansIntermediate FilamentsDiffusion tensor imagingDiffusion-weighted magnetic resonance imagingNeurofilament light protein

Identifiers

PMID37582732
PMCPMC10426141
OpenAlexW4385837332

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Registered trials

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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.