Prognostic Value of Age and Early Magnetic Resonance Imaging in Patients with Cervical Subaxial Spinal Cord Injuries
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND AND OBJECTIVE: The predictive role of a patient's age in spinal cord injury (SCI) is still unclear given the coexistence of potential confounding factors, whether clinical or radiological. Thus, it is the aim of this work to assess the prognostic role of a patient's age against initial radiological features in a traumatic cervical SCI population. METHODS: Clinical and radiological data from patients with acute traumatic cervical SCI and a first MRI performed within 48 h of trauma were retrospectively reviewed. Patients were dichotomized according to the length intramedullary lesion, and associations between age and other clinical or radiological prognostic variables were analyzed. The receiver-operating characteristic (ROC) curve was used to test the discriminative capacity of the patient age to predict neurological and functional outcomes. Poor functional outcome was defined as a Walking Index Spinal Cord Injury score <1 and poor neurological outcome as the lack of neurological improvement between admission and follow up. RESULTS: 134 patients fulfilled the inclusion criteria and were analyzed. The mean age was 43 years, with a male/female ratio of 4:1. polytrauma and soft tissue injuries were inversely proportional to patient age (P < 0.001). A critical value of 55-year-old was established as a threshold for determining poor functional and neurological outcomes. Across the group of patients with minor intramedullary lesions, older age was correlated with poor functional and neurological outcomes (P < 0.001 and P = 0.04, respectively). CONCLUSIONS: Patient age is an important prognostic factor in patients with traumatic cervical SCI. Fifty-five years is the critical cutoff associated with poor prognostic outcome.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it