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Effects of Intravenous Sodium Amobarbital Vs Lidocaine on Pain and Sensory Abnormalities in Patients With Spinal Cord Injury

2009· article· en· W1526743 on OpenAlexaff
Angela Mailis, Balaji Yegneswaran, Bob Bharatwal, Andrei V. Krassioukov

Bibliographic record

VenueJournal of Spinal Cord Medicine · 2009
Typearticle
Languageen
FieldMedicine
TopicPain Mechanisms and Treatments
Canadian institutionsUniversity of British ColumbiaInternational Collaboration On Repair DiscoveriesUniversity of TorontoToronto Western Hospital
Fundersnot available
KeywordsAnesthesiaAmobarbitalLidocaineMedicineSalineAllodyniaSpinal cordHyperalgesiaNociceptionEpilepsyInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: To compare the responses of patients with spinal cord injury (SCI) in regards to pain and sensory abnormalities to single blinded intravenous (i.v.) infusions of normal saline, sodium amobarbital, and lidocaine. SETTING: Inpatient pain unit. STUDY DESIGN: Retrospective chart review. METHODS: Demographic data, body maps marking pain areas, pain ratings, standardized history and detailed examination were collected on admission in 5 patients with SCI and pain. i.v. normal saline was followed by either i.v. sodium amobarbital or lidocaine, respectively, (patients, but not the administering physician, were blinded to the order of the drugs). Spontaneous pain ratings and sensory abnormalities to light touch, pinprick and cold were documented at baseline and immediately after each infusion. RESULTS: Sodium amobarbital decreased spontaneous pain by 73% (vs 46% with lidocaine) and normalized sensory abnormalities at or above the level of injury in 3 patients (as compared to just 1 patient with lidocaine), 2 of whom had transitional zone allodynia/hyperalgesia. CONCLUSION: In this small study, the analgesic effect of sodium amobarbital and its ability to modify sensory abnormalities appeared superior to that of lidocaine.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.482
Threshold uncertainty score0.752

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.010
GPT teacher head0.273
Teacher spread0.264 · 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 designObservational
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

Citations7
Published2009
Admission routes1
Has abstractyes

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