ArticleeLife2021
Topological network analysis of patient similarity for precision management of acute blood pressure in spinal cord injury.
Article in eLife, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.
What it found
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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
28 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.
- The application of artificial intelligence in the acute and sub-acute phases of spinal cord injury- a systematic review.Spinal cord · 2026Pooled it
- A multi-analyte blood test for acute spinal cord injury.The Journal of clinical investigation · 2025Trial
- The Predictive Paradigm in Perioperative Hemodynamic Management: The Role of Artificial Intelligence in Major Spine Surgery.Journal of clinical medicine · 2026Review
- Regional anesthesia after spinal cord injury attenuates behavioral loss, hemorrhage, and cell death.Frontiers in neurology · 2026Article
- The race against time: patterns and variables of spine surgery timing in traumatic spinal cord injury: a retrospective cohort study from the TraumaRegister DGU®.Neurological research and practice · 2025Article
- Modeling trajectories of routine blood tests as dynamic biomarkers for outcome in spinal cord injury.NPJ digital medicine · 2025Article
- Incorporating Quantitative Literacy into a T32 Retreat: Lessons and Considerations from Experience.eNeuro · 2025Article
- Translational Outcomes Project in Neurotrauma (TOP-NT) Pre-Clinical Consortium Study: A Synopsis.Journal of neurotrauma · 2025Article
- The Application of Artificial Intelligence in Spine Surgery: A Scoping Review.Journal of the American Academy of Orthopaedic Surgeons. Global research & reviews · 2025Article
- Advances and New Therapies in Traumatic Spinal Cord Injury.Journal of clinical medicine · 2025Review
- Data reporting quality and semantic interoperability increase with community-based data elements (CoDEs). Analysis of the open data commons for spinal cord injury (ODC-SCI).Experimental neurology · 2025Article
- Precision medicine in acute spinal cord injury: moving beyond static hemodynamic targets.Trauma surgery & acute care open · 2025Article
- Autonomic dysfunction and hemodynamic management after acute spinal cord injury: blood pressure targets, perfusion strategies, and emerging therapies.Frontiers in neurology · 2025Review
- Understanding the provenance and quality of methods is essential for responsible reuse of FAIR data.Nature medicine · 2024Article
- Unwinding Helicase MCM Functionality for Diagnosis and Therapeutics of Replication Abnormalities Associated with Cancer: A Review.Molecular diagnosis & therapy · 2024Review
- ATF3 is a neuron-specific biomarker for spinal cord injury and ischaemic stroke.Clinical and translational medicine · 2024Article
- Interventions to Optimize Spinal Cord Perfusion in Patients With Acute Traumatic Spinal Cord Injury: An Updated Systematic Review.Global spine journal · 2024Article
- Studying missingness in spinal cord injury data: challenges and impact of data imputation.BMC medical research methodology · 2024Article
- General Anesthesia Blocks Pain-Induced Hemorrhage and Locomotor Deficits After Spinal Cord Injury in Rats.Journal of neurotrauma · 2023Article
- The Impact of Machine Learning and Robot-Assisted Gait Training on Spinal Cord Injury: A Systematic Review and Meta-Analysis.Journal of clinical medicine · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
24 authors at 6 institutions in 1 country.
Funding
Abstract
Background: Predicting neurological recovery after spinal cord injury (SCI) is challenging. Using topological data analysis, we have previously shown that mean arterial pressure (MAP) during SCI surgery predicts long-term functional recovery in rodent models, motivating the present multicenter study in patients. Methods: Intra-operative monitoring records and neurological outcome data were extracted (n = 118 patients). We built a similarity network of patients from a low-dimensional space embedded using a non-linear algorithm, Isomap, and ensured topological extraction using persistent homology metrics. Confirmatory analysis was conducted through regression methods. Results: Network analysis suggested that time outside of an optimum MAP range (hypotension or hypertension) during surgery was associated with lower likelihood of neurological recovery at hospital discharge. Logistic and LASSO (least absolute shrinkage and selection operator) regression confirmed these findings, revealing an optimal MAP range of 76-[104-117] mmHg associated with neurological recovery. Conclusions: We show that deviation from this optimal MAP range during SCI surgery predicts lower probability of neurological recovery and suggest new targets for therapeutic intervention. Funding: NIH/NINDS: R01NS088475 (ARF); R01NS122888 (ARF); UH3NS106899 (ARF); Department of Veterans Affairs: 1I01RX002245 (ARF), I01RX002787 (ARF); Wings for Life Foundation (ATE, ARF); Craig H. Neilsen Foundation (ARF); and DOD: SC150198 (MSB); SC190233 (MSB).
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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.