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Record W55359098

Reviews on spinal cord injury — A reply

2010· article· en· W55359098 on OpenAlexaboutno aff
Aubrey A. Webb

Bibliographic record

VenuePubMed Central · 2010
Typearticle
Languageen
FieldMedicine
TopicSpinal Cord Injury Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineSpinal cord injuryTransplantationNeuroscienceSpinal cordPsychologyPsychiatrySurgery
DOInot available

Abstract

fetched live from OpenAlex

Dear Sir, This letter addresses the concerns brought by Dr. Politis regarding the reviews on acute spinal cord injury (SCI), that were published in The Canadian Veterinary Journal this year (Can Vet J 2010;51:485–492; 598–604). I appreciate the enthusiasm and passion which Dr. Politis demonstrates for the work done at the University of Saskatchewan regarding injury to the central nervous system. It is true, there has been interesting work done at the University of Saskatchewan. Aside from the work of Dr. Politis and his collaborators, other work on spinal cord neurobiology performed at the University of Saskatchewan has been published from the laboratories of Drs. G. Muir, B. Juurlink, E. Schultke, P. Patterson, V. Verge, R. Doucette, among others. It was not the intent to not acknowledge some of this work; it was our intent to address the following: “Substantial advances have been made in SCI research since the publication of veterinary review articles on SCI 10 y ago (http://www.ncbi.nlm.nih.gov/pubmed/10499720 and http://www.ncbi.nlm.nih.gov/pubmed/10331228). Advances have been made in understanding 1) details of white matter changes occurring after naturally occurring SCI in dogs and cats; 2) the molecular mechanisms involved in failure of neural regeneration within the central nervous system (CNS); 3) potential therapeutics including cellular transplantation therapy; 4) neural plasticity; and 5) prognostic indicators of recovery from SCI in dogs. Given this, we review in 2 parts; 1) basic science perspectives regarding treating and curing SCI, 2) recent studies that shed light on prognosis and recovery from SCI, 3) current thinking on standards of care for dogs with SCI, 4) experimental approaches being investigated in the laboratory setting, and 5) current clinical trials being conducted in veterinary medicine.” From Webb et al, Can Vet J, 2010. Given this objective, journal space limitations, and the input from reviewers, it was important to identify and briefly discuss what we believe are current views and lines of investigation into neurobiology and repair of the spinal cord following its injury. As Dr. Politis likely appreciates, it is impossible to summarize in a review paper all the thoughts and beliefs of SCI neurobiology and all the methods attempted to repair the injured spinal cord. For example, a PubMed search for “spinal cord injury” retrieves nearly 42 000 articles; searching “experimental spinal cord injury” retrieves nearly 3200 references. This does not even begin to capture all of the basic spinal cord neurobiology research that is important to our understanding of how the spinal cord works (important for studies investigating recovery from SCI). It is impossible to cite and review all literature pertaining to SCI. As for Dr. Politis’ belief that high-dose glucocorticoids are beneficial for experimental SCI in rodents, a PubMed search and review of the literature show that there is conflicting evidence to support this notion. Clinical work in humans and experimental work in dogs does not support the use of high-dose corticosteroids for acute traumatic SCI. The use of high-dose corticosteroids has now fallen out of favor as being a “standard of care” in many clinical settings (human and veterinary), and for good reason. High-dose corticosteroids therapy is not without untoward side effects, and given its questionable utility for treating SCI, the benefits do not convincingly outweigh the potential detriments of administering this class of drugs. I thank Dr. Politis for bringing to The Canadian Veterinary Journal readership the work that he has published. Moreover, writing this letter affords me the opportunity to emphasize, again, there is no cure for severe acute traumatic SCI, regardless of who has performed the work, or where the research has been performed. Currently, it is a generally accepted view that a multi-modal approach is what will be required for the effective treatment of spinal cord-injured patients. This approach, too, is awaiting convincing evidence.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.838
Threshold uncertainty score0.814

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.070
GPT teacher head0.383
Teacher spread0.313 · 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; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
Domainnot available
GenreEmpirical

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

Citations0
Published2010
Admission routes1
Has abstractyes

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