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Record W7133014984

Effectiveness of sucrose in reducing pain responses in neonates during intramuscular injection of Vitamin K

2007· dissertation· W7133014984 on OpenAlexaboutno aff
Ryan William Smith

Bibliographic record

VenueTSpace · 2007
Typedissertation
Language
FieldNursing
TopicVitamin K Research Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSucroseIntramuscular injectionVitaminVitamin CRandomized controlled trialAcute pain
DOInot available

Abstract

fetched live from OpenAlex

Objective. To evaluate sucrose for reducing pain in neonates during intramuscular injection of vitamin K. Patients and methods. Double-blind, randomized, controlled trial in the labour and delivery unit at Mount Sinai Hospital, Toronto, Ontario. One hundred and twenty healthy neonates were recruited between September 2003 and September 2004. Neonates were randomized to receive either 2ml of 24% sucrose or water on the tongue two minutes prior to Vitamin K injection. Pain was assessed using the Premature Infant Pain Profile (PIPP), percent facial grimacing (FG) and cry duration (CD). Results. There were no significant differences in neonate characteristics between groups. Neonates in the sucrose group had less pain during the procedure than those in the water group as assessed by PIPP scores, percent FG and CD (p le;0.05). Conclusions. Sucrose was effective in reducing pain during intramuscular injection of vitamin K in neonates. It is recommended for routine clinical use.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.014
GPT teacher head0.377
Teacher spread0.363 · 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 designRandomized trial
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
Published2007
Admission routes1
Has abstractyes

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