ArticleBMC musculoskeletal disorders2024
MRI variables and peripheral inflammatory response biomarkers predict severity and prognosis in patients with acute cervical traumatic spinal cord injury.
Article in BMC musculoskeletal disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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.
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.
Who cites it
5 citing papers in PubMed.
- Kinetic and inhibitory profiling of serum MMP-9 in acute spinal cord injury: neurochemical links to injury severity and neuroinflammation.Acta neurologica Belgica · 2026Article
- Preoperative magnetic resonance imaging biomarkers of soft tissue injury and their association with postoperative outcomes in intertrochanteric femoral fractures: A retrospective study.International orthopaedics · 2026Article
- Brain Morphology in Subacute Spinal Cord Injury: Insights Into Functional Recovery Across Brain Networks.Brain and behavior · 2026Article
- Combined plasma and imaging biomarkers as predictors of neurological outcome in cervical traumatic spinal cord injury.BMC neurology · 2026Article
- Evolution of MRI Parameters from the Subacute to Chronic Phase After Human Traumatic Cervical Spinal Cord Injury: a Prospective, Observational Study. Part 2: Diffusion Tensor Imaging Characteristics.Clinical neuroradiology · 2026Observational
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
objectiveTraumatic spinal cord injury (TSCI) stands as one of the most profoundly damaging and debilitating conditions. This study aims to explore the potential of magnetic resonance imaging (MRI) variables and peripheral inflammatory indicators as promising biomarkers. It aims to understand their significance in evaluating the severity and predicting the prognosis of TSCI. Furthermore, the study aims to ascertain whether combining these indicators could enhance the accuracy of injury assessment and predictive prognostic ability.
methodsA multicentre retrospective cohort study was conducted to assess the severity and prognostic value of MRI variables and peripheral inflammatory response biomarkers in patients with acute cervical TSCI. The study involved 374 patients with acute cervical TSCI drawn from the First Affiliated Hospital of Nanchang University and the Second Affiliated Hospital of Nanchang University. The severity and prognosis of patients with acute cervical TSCI were assessed using the American Spinal Injury Association Impairment Scale (AIS). The correlation between MRI variables, peripheral inflammatory response biomarkers, admission severity, and the 1-year follow-up prognosis was analysed.
resultsAfter the initial assessment using the AIS grade system, 169 (49.2%) patients fell into the severe category for cervical TSCI (AIS A-B), while 205 (50.8%) patients were classified as non-severe cases (AIS C-E). The MRI variables (intramedullary lesion length [IMLL], Brain and Spinal Injury Centre [BASIC], maximum spinal cord compression [MSCC], and maximum canal compromise [MCC]) and inflammatory response biomarkers (white blood cells [WBCs], neutrophils, and C-reactive protein [CRP]) exhibited a consistent decrease correlating with the severity grades noted upon admission. Among the 374 patients assessed, 147 (39.3%) experienced a poor prognosis, as indicated by the AIS grade during the 1-year follow-up. MRI variables and peripheral inflammatory response biomarkers declined in correspondence with the follow-up AIS grades. Sex (p < 0.001), IMLL (p < 0.001), MSCC (p < 0.001), MCC (p < 0.001), BASIC (p < 0.001), WBC (p < 0.001), neutrophils (p < 0.001), and CRP (p < 0.001) were statistically significant in predicting poor outcomes. Through multivariate logistic regression analysis, BASIC score and CRP emerged as independent predictors of poor prognosis. Notably, the model combining the BASIC score and CRP yielded a larger area under the curve compared to models using only the BASIC score or CRP individually.
conclusionsThe BASIC score and CRP are crucial biomarkers for evaluating the severity of cervical TSCI and predicting prognosis. Their combination proved to be a more robust determinant of injury severity and a better predictor of neurological recovery.
Indexed as
Identifiers
What OpenQuestion holds
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.