Evidence map›Paper›PMID 28771476›Full record

Observational studyPLoS medicine2017

Evaluation of novel computerized tomography scoring systems in human traumatic brain injury: An observational, multicenter study.

Eric Peter Thelin, David W Nelson, Juho Vehviläinen, Harriet Nyström, Riku Kivisaari, Jari Siironen, Mikael Svensson, Markus B Skrifvars, Bo-Michael Bellander, Rahul Raj

Erratum issued Registry-linked trialAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in PLoS medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to trial NCT04495192 (Clinical, Neurophysiological and Genetical Predictors of Consciousness Recovery and Functional Outcomes After Severe Acquired Brain Injuries), which is not on this map. Cited by 51 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing 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.

NCT04495192 unknown statusnot on this mapstarted 2020, after this paper: background citation

Clinical, Neurophysiological and Genetical Predictors of Consciousness Recovery and Functional Outcomes After Severe Acquired Brain Injuries

Typeobservational_patient_registrySponsorFondazione Don Carlo Gnocchi ETSRan2020 to 2025Enrolled520ConditionsBrain Injuries, Disorder of ConsciousnessArmsGenetic analysis of different single nucleotide polymorphisms on ApoE, BDNF and DRD2 genes assessment
3 · Its place in the literature

Who cites it

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

  1. Pooled it
  2. Trial
  3. Trial
  4. Observational
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. 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
  12. Article
  13. Article
  14. Article
  15. Development and validation of a nomogram for predicting mortality in patients with acute severe traumatic brain injury: A retrospective analysis.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2024
    Article
  16. Assessing outcomes in traumatic brain injury: Helsinki score versus Glasgow coma scale.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2024
    Article
  17. Article
  18. Observational
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Eric Peter ThelinDepartment of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0002-2338-4364
David W NelsonSection for Perioperative Medicine and Intensive Care, Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0003-2530-8207
Juho VehviläinenDepartment of Neurosurgery, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.ORCID http://orcid.org/0000-0001-7521-8512
Harriet NyströmDepartment of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0002-0705-6440
Riku KivisaariDepartment of Neurosurgery, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
Jari SiironenDepartment of Neurosurgery, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.ORCID http://orcid.org/0000-0001-5252-8999
Mikael SvenssonDepartment of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Markus B SkrifvarsDepartment of Anaesthesiology, Intensive Care and Pain Medicine, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
Bo-Michael BellanderDepartment of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0002-0648-2501
Rahul RajDepartment of Neurosurgery, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.ORCID http://orcid.org/0000-0003-4243-9591

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTraumatic brain injury (TBI) is a major contributor to morbidity and mortality. Computerized tomography (CT) scanning of the brain is essential for diagnostic screening of intracranial injuries in need of neurosurgical intervention, but may also provide information concerning patient prognosis and enable baseline risk stratification in clinical trials. Novel CT scoring systems have been developed to improve current prognostic models, including the Stockholm and Helsinki CT scores, but so far have not been extensively validated. The primary aim of this study was to evaluate the Stockholm and Helsinki CT scores for predicting functional outcome, in comparison with the Rotterdam CT score and Marshall CT classification. The secondary aims were to assess which individual components of the CT scores best predict outcome and what additional prognostic value the CT scoring systems contribute to a clinical prognostic model. METHODS AND

findingsTBI patients requiring neuro-intensive care and not included in the initial creation of the Stockholm and Helsinki CT scoring systems were retrospectively included from prospectively collected data at the Karolinska University Hospital (n = 720 from 1 January 2005 to 31 December 2014) and Helsinki University Hospital (n = 395 from 1 January 2013 to 31 December 2014), totaling 1,115 patients. The Marshall CT classification and the Rotterdam, Stockholm, and Helsinki CT scores were assessed using the admission CT scans. Known outcome predictors at admission were acquired (age, pupil responsiveness, admission Glasgow Coma Scale, glucose level, and hemoglobin level) and used in univariate, and multivariable, regression models to predict long-term functional outcome (dichotomizations of the Glasgow Outcome Scale [GOS]). In total, 478 patients (43%) had an unfavorable outcome (GOS 1-3). In the combined cohort, overall prognostic performance was more accurate for the Stockholm CT score (Nagelkerke's pseudo-R2 range 0.24-0.28) and the Helsinki CT score (0.18-0.22) than for the Rotterdam CT score (0.13-0.15) and Marshall CT classification (0.03-0.05). Moreover, the Stockholm and Helsinki CT scores added the most independent prognostic value in the presence of other known clinical outcome predictors in TBI (6% and 4%, respectively). The aggregate traumatic subarachnoid hemorrhage (tSAH) component of the Stockholm CT score was the strongest predictor of unfavorable outcome. The main limitations were the retrospective nature of the study, missing patient information, and the varying follow-up time between the centers.

conclusionsThe Stockholm and Helsinki CT scores provide more information on the damage sustained, and give a more accurate outcome prediction, than earlier classification systems. The strong independent predictive value of tSAH may reflect an underrated component of TBI pathophysiology. A change to these newer CT scoring systems may be warranted.

Indexed as

AdultAgedBrain Injuries, TraumaticFemaleFinlandHumansIncidenceMaleMiddle AgedPrevalencePrognosisRetrospective StudiesSwedenTomography, X-Ray Computed

Identifiers

PMID28771476
PMCPMC5542385

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Registered trials

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.