Evidence map›Paper›PMID 42383031›Full record

ArticleFrontiers in neurology

Acute injury characteristics predict chronic neuropathic pain development after spinal cord injury.

Kenneth A Fond, Mayra Arellano, Abel Torres-Espin, Austin Chou, Xuan Bradfield, Sara L Moncivais, J Russell Huie, Debra D Hemmerle, Anastasia V Keller, Vineeta Singh and 12 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in neurology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

22 authors.

Kenneth A Fond *Weill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco (UCSF), San Francisco, CA, United States.
Mayra Arellano *Weill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco (UCSF), San Francisco, CA, United States.
Abel Torres-EspinWeill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco (UCSF), San Francisco, CA, United States.
Austin ChouWeill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco (UCSF), San Francisco, CA, United States.
Xuan BradfieldWeill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco (UCSF), San Francisco, CA, United States.
Sara L MoncivaisWeill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco (UCSF), San Francisco, CA, United States.
J Russell HuieWeill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco (UCSF), San Francisco, CA, United States.
Debra D HemmerleWeill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco (UCSF), San Francisco, CA, United States.
Anastasia V KellerWeill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco (UCSF), San Francisco, CA, United States.
Vineeta SinghWeill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco (UCSF), San Francisco, CA, United States.
Lisa U PascualDepartment of Orthopaedic Surgery, Orthopaedic Trauma Institute, University of California, San Francisco (UCSF), San Francisco, CA, United States.
Anthony M DiGiorgioWeill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco (UCSF), San Francisco, CA, United States.
Jason F TalbottZuckerberg San Francisco General Hospital and Trauma Center, San Francisco, CA, United States.
William D WhetstoneDepartment of Emergency Medicine, University of California, San Francisco (UCSF), San Francisco, CA, United States.
Jonathan Z PanWeill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco (UCSF), San Francisco, CA, United States.
Philip R WeinsteinDepartment of Neurological Surgery, University of California, San Francisco (UCSF), San Francisco, CA, United States.
Sanjay S DhallWeill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco (UCSF), San Francisco, CA, United States.
Rajiv SaigalWeill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco (UCSF), San Francisco, CA, United States.
Adam R FergusonWeill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco (UCSF), San Francisco, CA, United States.
Jacqueline C BresnahanWeill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco (UCSF), San Francisco, CA, United States.
Michael S BeattieWeill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco (UCSF), San Francisco, CA, United States.
Nikos KyritsisWeill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco (UCSF), San Francisco, CA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Neuropathic pain is one of the most common and debilitating complications following spinal cord injury (SCI), frequently surpassing motor and sensory deficits as the symptom patients most want treated. Despite advances in understanding the molecular and physiological mechanisms underlying central neuropathic pain, effective treatments remain lacking and show wide variability in efficacy. Previous reports have indicated that early intervention represents the most effective pain management strategy, underscoring the clinical importance of identifying patients at risk during the acute care phase. Methods: We utilized the TRACK-SCI prospective clinical research database to assess neuropathic pain outcomes in all enrolled SCI patients and identify acute care variables predictive of chronic neuropathic pain development. Pain status was evaluated at 6 and 12 months post-injury. Candidate predictors were analyzed using multidimensional analytics, and a logistic regression model was constructed and validated using repeated 5-fold cross-validation. Results: Of 61 patients in the study cohort, 36 (59%) reported neuropathic pain in the chronic stages after SCI. Four acute care variables were identified as significant predictors of chronic neuropathic pain development: (1) the total number of systemic injuries sustained, (2) the injury severity score (ISS), (3) the lower limb total motor score, and (4) the sensory pinprick total score. The logistic regression model achieved a balanced accuracy of 74.3%, and repeated 5-fold cross-validation yielded an AUC of 0.708. Discussion: These findings highlight a crucial role of polytrauma in the development of chronic pain after SCI. The four identified predictors are parameters routinely measured in every trauma center, making the proposed model readily translatable to clinical practice. This predictive tool may enable earlier, targeted intervention for at-risk patients, addressing the clinical need for proactive pain management strategies in the acute post-SCI setting. Future work should validate this model in larger, independent cohorts and explore its utility in guiding early treatment decisions.

Indexed as

biomarkersneuropathic painpredictive modelspinal cord injuryTRACK-SCI

Identifiers

PMID42383031
PMCPMC13314459

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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.