Evidence map›Paper›PMID 39503919›Full record

SynthesisNeurosurgical review2024

Prognostic value of computed tomography and magnetic resonance imaging findings in acute traumatic brain injury in prediction of poor neurological outcome and mortality: a systematic review and meta-analysis.

Arvin Naeimi, Sepehr Aghajanian, Kyana Jafarabady, Reza Aletaha, Seyed Farzad Maroufi, MirHojjat Khorasanizadeh, Martina Stippler

Abstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Neurosurgical review, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 3 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.

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

7 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Observational
  7. Article
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.

Arvin NaeimiStudent Research Committee, School of Medicine, Guilan University of Medical Sciences, Rasht, Iran.ORCID http://orcid.org/0000-0002-8659-9549
Sepehr AghajanianNeuroscience Research Center, Iran University of Medical Sciences, Tehran, Iran.
Kyana JafarabadyStudent Research Committee, School of Medicine, Alborz University of Medical Sciences, Karaj, Iran.ORCID http://orcid.org/0000-0003-2138-5870
Reza AletahaStudent Research Committee, Tabriz University of Medical Sciences, Tabriz, Iran.ORCID http://orcid.org/0000-0002-5392-9599
Seyed Farzad MaroufiNeurosurgical Research Network (NRN), Universal Scientific Education and Research Network (USERN), Tehran, Iran.
MirHojjat KhorasanizadehDepartment of Neurosurgery, Medical College of Wisconsin, Milwaukee, WI, USA. mirhojjax@yahoo.com.
Martina StipplerDivision of Neurosurgery, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA. mstipple@bidmc.harvard.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Traumatic brain injury (TBI) is a major cause of morbidity and mortality, impacting healthcare systems and economies. Early identification of poor outcomes is crucial for effective treatment. This systematic review assesses the prognostic value of computed tomography (CT) and magnetic resonance imaging (MRI) findings in predicting poor neurological outcomes and mortality in the acute phase of TBI. A comprehensive search of Scopus, MEDLINE, and Web of science databases was performed to identify studies examining CT and MR-based imaging findings and their association with poor outcomes as assessed by Glasgow outcome score as well as mortality within the early acute phase of TBI following injury/admission. Qualitative evaluation of included studies revealed several imaging sequences that modify the outcome of the patients, including extra-axial and intra-axial hemorrhage, swirl sign, contrast extravasation, midline shift, closed and open cranial cisterns, signs of edema, presence of cranial fractures, intracranial hemorrhage, cerebral microbleeds, diffuse axonal injury, apparent diffusion coefficient and fractional anisotropy in diffusion tensor imaging, as well as, concentrations of brain metabolites(N-acetyl aspartate, Creatinine, Choline, Myo-inositol, glutamate, and glutamine) in magnetic resonance spectroscopy. Among these markers, subarachnoid hemorrhage (SAH) and subdural hematoma (SDH) emerged as the most predictive of poor outcomes based on meta-analysis findings. SAH was significantly associated with an increased risk of mortality (OR: 3.35, 95% CI: 2.41-4.65, I²=51.3%) and poor outcomes (OR: 2.69, 95% CI: 2.44-2.96, I²=0%). Similarly, SDH correlated with higher mortality risk (OR: 2.44, 95% CI: 2.14-2.78, I²=0%) and worse outcomes (OR: 2.00, 95% CI: 1.12-3.59, I²=60.9%). In contrast, epidural hematoma (EDH) was linked to better outcomes (OR: 0.60, 95% CI: 0.52-0.68, I²=0%) but not significantly associated with mortality (OR: 0.38, 95% CI: 0.09-1.65, I²=73.7%). The results of this systematic review and meta-analysis provide an overview of clinically feasible imaging markers of prognostic value and may inform clinical decision-making in the future.

Indexed as

Brain Injuries, TraumaticMagnetic Resonance ImagingTomography, X-Ray ComputedHumansPrognosisBrain traumaComputed tomographyGlasgow outcome scaleMagnetic resonancePrognostic imaging

Identifiers

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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.