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Record W2118806182 · doi:10.2174/1381612811319240009

Pharmacological Approaches to Chronic Spinal Cord Injury

2013· review· en· W2118806182 on OpenAlexafffund
Inge Steuer, Pascal Rouleau, Pierre A. Guertin

Bibliographic record

VenueCurrent Pharmaceutical Design · 2013
Typereview
Languageen
FieldNeuroscience
TopicNeurological Disorders and Treatments
Canadian institutionsWilfrid Laurier UniversityCentre hospitalier de l'Université LavalUniversité Laval
FundersCanadian Institutes of Health Research
KeywordsMedicineSpinal cord injurySpinal cordLife expectancyQuality of life (healthcare)Intensive care medicinePsychiatryPopulation

Abstract

fetched live from OpenAlex

Although research on neural tissue repair has made enormous progress in recent years, spinal cord injury remains a devastating condition for which there is still no cure. In fact, recent estimates of prevalence in the United States reveal that spinal cord injury has undergone a five-fold increase in the last decades. Though, it has become the second most common neurological problem in North America after Alzheimer's disease. Despite modern trauma units and intensive care treatments, spinal cord injury remains associated with several comorbid conditions and unbearable health care costs. Regular administration of a plethora of symptomatic drug treatments aimed at controlling related-secondary complications and life-threatening problems in chronic spinal cord-injured patients has recently been reported. This article provides a thorough overview of the main drug classes and products currently used or in development for chronic spinal cord injury. Special attention is paid to a novel class of drug treatment designed to provide a holistic solution for several chronic complications and diseases related with spinal cord injury. There is clear evidence showing that new class can elicit 'on-demand' episodes of rhythmic and stereotyped walking activity in previously completely paraplegic animals and may consequently constitute a simple therapy against several physical inactivity-related comorbid problems. Understanding further pharmacological approaches to chronic spinal cord injury may improve both life expectancy and overall quality of life while reducing unsustainable cost increases associated with this debilitation condition.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.987
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0020.010

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.

Opus teacher head0.735
GPT teacher head0.504
Teacher spread0.231 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations14
Published2013
Admission routes2
Has abstractyes

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