Evidence map›Paper›PMID 40579677›Full record

ArticleNeurocritical care2026

Fast and Slow Recovery of Consciousness Following Traumatic Brain Injury.

Sujith Swarna, Jordan R Saadon, Jermaine Robertson, Vaibhav Vagal, Nathaniel A Cleri, Kurt Butler, Xi Cheng, Yindong Hua, Seyed Morsal Mosallami Aghili, Chiemeka Uwakwe and 9 more

Abstract read
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In one paragraph

Article in Neurocritical care, 2026. 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. Review
  2. Contralateral hemispheric cerebral blood flow can predict short-term clinical outcomes in patients with recent small subcortical infarcts.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
    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

19 authors.

Sujith SwarnaDepartment of Neurosurgery, Renaissance School of Medicine at Stony, Brook University, Stony Brook, NY, USA.
Jordan R SaadonDepartment of Neurosurgery, Renaissance School of Medicine at Stony, Brook University, Stony Brook, NY, USA.
Jermaine RobertsonDepartment of Neurosurgery, Renaissance School of Medicine at Stony, Brook University, Stony Brook, NY, USA.
Vaibhav VagalDepartment of Neurosurgery, Renaissance School of Medicine at Stony, Brook University, Stony Brook, NY, USA.
Nathaniel A CleriDepartment of Neurosurgery, Renaissance School of Medicine at Stony, Brook University, Stony Brook, NY, USA.
Kurt ButlerDepartment of Electrical and Computer Engineering, Stony Brook University, Stony Brook, NY, USA.
Xi ChengDepartment of Neurosurgery, Renaissance School of Medicine at Stony, Brook University, Stony Brook, NY, USA.
Yindong HuaDepartment of Neurosurgery, Renaissance School of Medicine at Stony, Brook University, Stony Brook, NY, USA.
Seyed Morsal Mosallami AghiliDepartment of Neurosurgery, Renaissance School of Medicine at Stony, Brook University, Stony Brook, NY, USA.
Chiemeka UwakweDepartment of Neurosurgery, Renaissance School of Medicine at Stony, Brook University, Stony Brook, NY, USA.
Jason ZhangDepartment of Neurosurgery, Renaissance School of Medicine at Stony, Brook University, Stony Brook, NY, USA.
Xuwen ZhengDepartment of Neurosurgery, Renaissance School of Medicine at Stony, Brook University, Stony Brook, NY, USA.
Aniket SinghDepartment of Neurosurgery, Renaissance School of Medicine at Stony, Brook University, Stony Brook, NY, USA.
Cassie WangDepartment of Neurosurgery, Renaissance School of Medicine at Stony, Brook University, Stony Brook, NY, USA.
Thomas HaganDepartment of Biomedical Engineering, Stony Brook University, Stony Brook, NY, USA.
Chuan HuangDepartment of Biomedical Engineering, Stony Brook University, Stony Brook, NY, USA.
Petar M DjurićDepartment of Electrical and Computer Engineering, Stony Brook University, Stony Brook, NY, USA.
Charles B MikellDepartment of Neurosurgery, Renaissance School of Medicine at Stony, Brook University, Stony Brook, NY, USA.
Sima MofakhamDepartment of Neurosurgery, Renaissance School of Medicine at Stony, Brook University, Stony Brook, NY, USA. Sima.Mofakham@stonybrookmedicine.edu.ORCID 0000-0002-4509-6080

Funding

National Science Foundation 2021002Stony Brook University FUSION-TROStony Brook University SUNY SEED
6 · The paper itself

Abstract

backgroundConsciousness recovery after severe traumatic brain injury (sTBI) can take minutes to years. Despite this variability, we hypothesized that we could identify subgroups with distinct temporal recovery trajectories and that these subgroups would have distinct clinical features.

methodsWe conducted a retrospective cohort study to analyze recovery trajectories for patients with sTBI (Glasgow Coma Scale [GCS] score ≤ 8) admitted to Stony Brook University Hospital from 2010 to 2019. Patients meeting our criteria for recovery (GCS score ≥ 13) were classified into cohorts using the slopes of their recovery trajectories. We then characterized these groups by their clinical features, neuroimaging, and electroencephalography (EEG).

resultsA total of 501 patients with sTBI (348 men, mean age 51 years) were included in this study. Of these, 299 recovered. After analyzing their recovery rates, two distinct groups emerged, (1) fast recovery (n = 215) and (2) slow recovery (n = 84), with a median recovery time of 6 (interquartile range [IQR] 2-12) vs. 33 (IQR 27-44.75) days. Slow recovery patients had higher Injury Severity Scores (median 30 [IQR 25-41.75] vs. 24 [IQR 16-30]; 95% confidence interval [CI] 4.4495-10.6105; P < 0.001), more thalamic injury on neuroimaging (normalized volume [voxels] - 0.664 vs. 1.74; R

conclusionsRecovery after sTBI falls into two broad categories, distinguishable by injury severity, thalamic injury, and disrupted interhemispheric connectivity. This model accounts for heterogeneity in TBI outcomes and represents progress toward identifying targets for future neuromodulatory therapeutic development.

Indexed as

Brain Injuries, TraumaticConsciousnessRecovery of FunctionAdultAgedElectroencephalographyFemaleGlasgow Coma ScaleHumansMaleMiddle AgedRetrospective StudiesTime FactorsComaConsciousness disordersTraumatic brain injury

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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.