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Record W4289986079 · doi:10.1089/neu.2022.0274

Rectal Application of Lidocaine Reduces the Severity of Autonomic Dysreflexia following Experimental Spinal Cord Injury

2022· article· en· W4289986079 on OpenAlexafffund
Rahul Sachdeva, Tamila Kalimullina, Kiran Pawar, Andrei V. Krassioukov

Bibliographic record

VenueJournal of Neurotrauma · 2022
Typearticle
Languageen
FieldMedicine
TopicSpinal Cord Injury Research
Canadian institutionsGF Strong Rehabilitation CentreVancouver Coastal HealthInternational Collaboration On Repair DiscoveriesUniversity of British Columbia
FundersCanadian Institutes of Health Research
KeywordsAutonomic dysreflexiaMedicineLidocaineAnesthesiaSpinal cord injurySpinal cordRectumRectal administrationSurgery

Abstract

fetched live from OpenAlex

Spinal cord injury (SCI) results in devastating cardiovascular dysfunction. Noxious stimuli from the rectum during bowel routine often trigger life-threatening blood pressure surges, termed autonomic dysreflexia (AD). Rectal application of anesthetic lidocaine jelly has been recommended during bowel care to reduce AD severity by mitigating sensory input. However, clinical studies have reported contradicting evidence. We performed a pre-clinical study on the efficacy of rectal lidocaine in a standardized rodent T3 transection model. We found that 2% and 10% lidocaine significantly reduced AD severity by 32% and 50%, respectively, compared with control ( p < 0.0001). Our pre-clinical experiments support the current recommendation of rectal lidocaine application during bowel care.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0020.000

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.

Opus teacher head0.096
GPT teacher head0.441
Teacher spread0.345 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations1
Published2022
Admission routes2
Has abstractyes

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