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Local Anesthesia Prior to the Insertion of Peripherally Inserted Central Catheters

2001· article· en· W2027414938 on OpenAlexaboutno aff
Cheryl Fry, Dana Aholt

Bibliographic record

VenueJournal of Infusion Nursing · 2001
Typearticle
Languageen
FieldMedicine
TopicAnesthesia and Pain Management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineLidocaineAnesthesiaLocal anestheticVisual analogue scaleAnestheticLocal anesthesiaTopical anestheticRandomized controlled trialPeripherally inserted central catheterTopical anesthesiaSurgeryCatheter

Abstract

fetched live from OpenAlex

Using a randomized, controlled study, the investigators evaluated and compared the effects of local anesthesia versus no anesthesia on pain associated with peripherally inserted central catheter (PICC) insertion. A sample of 42 subjects was selected and divided into three groups. Group 1 received EMLA cream. Group 2 received buffered lidocaine. Group 3 (the control group) did not receive a local anesthetic. The short form of the McGill Pain Questionnaire was used to measure pain quality and intensity. A numerical Visual Analogue Scale accompanied the questionnaire and measured overall pain intensity. Results showed that buffered lidocaine was statistically superior to EMLA cream or no anesthetic in relieving pain associated with PICC insertion.

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)0.003
metaresearch head score (Gemma)0.006
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 score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.002
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 head0.014
GPT teacher head0.266
Teacher spread0.253 · 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

Citations17
Published2001
Admission routes1
Has abstractyes

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