Evidence map›Paper›PMID 34806407›Full record

ArticleJournal of neurotrauma2022

Extended Analysis of Axonal Injuries Detected Using Magnetic Resonance Imaging in Critically Ill Traumatic Brain Injury Patients.

Jonathan Tjerkaski, Harriet Nyström, Rahul Raj, Caroline Lindblad, Bo-Michael Bellander, David W Nelson, Eric P Thelin

Open access · hybridAbstract read
In one paragraph

Article in Journal of neurotrauma, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.6field-weighted citation impact, top 13% 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

14 citing papers in PubMed, 22 citations in OpenAlex.

  1. Observational
  2. Article
  3. Article
  4. Review
  5. ASA score is an independent predictor of 1-year outcome after moderate-to-severe traumatic brain injury.Scandinavian journal of trauma, resuscitation and emergency medicine · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Observational
  11. Article
  12. Review
  13. 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

7 authors at 3 institutions in 2 countries.

Jonathan TjerkaskiDepartment of Clinical Neuroscience, Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden.
Harriet NyströmDepartment of Clinical Neuroscience, Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden.
Rahul RajDepartment of Neurosurgery, Helsinki University Hospital and University of Helsinki, Helsinki, Finland.
Caroline LindbladDepartment of Clinical Neuroscience, Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden.
Bo-Michael BellanderDepartment of Clinical Neuroscience, Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden.
David W NelsonDepartment of Section for Perioperative Medicine and Intensive Care, Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden.
Eric P ThelinDepartment of Clinical Neuroscience, Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden.
Karolinska Institutet · SEKarolinska University Hospital · SEUniversity of Helsinki · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Studies show conflicting results regarding the prognostic significance of traumatic axonal injuries (TAI) in patients with traumatic brain injury (TBI). Therefore, we documented the presence of TAI in several brain regions, using different magnetic resonance imaging (MRI) sequences, and assessed their association to patient outcomes using machine learning. Further, we created a novel MRI-based TAI grading system with the goal of improving outcome prediction in TBI. We subsequently evaluated the performance of several TAI grading systems. We used a genetic algorithm to identify TAI that distinguish favorable from unfavorable outcomes. We assessed the discriminatory performance (area under the curve [AUC]) and goodness-of-fit (Nagelkerke pseudo-R

Indexed as

Brain Injuries, TraumaticDiffuse Axonal InjuryCritical IllnessGlasgow Outcome ScaleHumansMagnetic Resonance ImagingPrognosisdiffuse axonal injurymachine learningmagnetic resonance imagingtraumatic axonal injurytraumatic brain injury

Identifiers

PMID34806407
PMCPMC8785713
OpenAlexW3216844774

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.