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Record W1983466677 · doi:10.5539/gjhs.v2n2p215

Comparison of Proximal Injections of Local Anesthetics with Distal Injections in Intravenous Block

2010· article· en· W1983466677 on OpenAlexvenueno aff
Ahmad Shokrzadeh, Afsoun Seddighi, Amir Saied Seddighi

Bibliographic record

VenueGlobal Journal of Health Science · 2010
Typearticle
Languageen
FieldMedicine
TopicAnesthesia and Pain Management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAnesthesiaLocal anestheticSurgeryAnestheticNerve blockRandomized controlled trial

Abstract

fetched live from OpenAlex

Background: Perfect pain management is one of the most essential problems in anesthesia. Intravenous block isconsidered a simple anesthetic method to reduce extremity pain. This study is aimed to determine the effect ofproximal injection compared with distal injections to avoid the problems related to be in the vicinity of thesurgical field and making use of the larger proximal veins instead of the tiny distal vessels.Methods: In this randomized double blind clinical trial, the patients with traumatic injuries of upper extremitiesreferred to Rajaie Hospital from October 2003 to February 2004 were studied. The cases were divided blindly into two groups. In one group injections were performed proximally and for the second group distally.Results: This study was based on the data from 100 serial patients. The average time to achieve analgesia was4.17 + 0.57 minutes for the patients who received distal injections and for the cases that had proximal injectionthe mean time for analgesia was 5.19 + 0.55. There was no difference in the rate of haematoma formationbetween the two groups.Conclusions: In intravenous nerve block, the injection of local anesthetic agents in the proximal parts of thelimbs is a safe method and is considered as effective as distal injections.

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)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.018
GPT teacher head0.342
Teacher spread0.324 · 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 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

Citations1
Published2010
Admission routes1
Has abstractyes

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