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Record W7126250585 · doi:10.1093/pch/pxaf055

Pain management strategies for peripheral arterial puncture/cannulation in neonates: A systematic review and meta-analysis

2025· article· en· W7126250585 on OpenAlexaff
Nevart Chirinian, Najla Tabbara, Anna Taddio, Elizabeth Uleryk, Vibhuti Shah

Bibliographic record

VenuePaediatrics & Child Health · 2025
Typearticle
Languageen
FieldMedicine
TopicPediatric Pain Management Techniques
Canadian institutionsUniversity of TorontoPublic Health OntarioMount Sinai Hospital
Fundersnot available
KeywordsPeripheralConfidence intervalPain controlBreast milkPsychological interventionPain management

Abstract

fetched live from OpenAlex

Abstract Objectives Arterial puncture/cannulation is considered to be a severely painful procedure. Both non-pharmacological and pharmacological interventions are recommended by professional organizations to alleviate pain in neonates undergoing arterial puncture/cannulation, but these recommendations are not based on systematic review of the literature. The primary objective of this systematic review and meta-analysis was to synthesize the literature on pain management strategies in this setting. Methods Databases were searched for randomized trials evaluating pharmacological and non-pharmacological interventions for pain mitigation for arterial puncture/cannulation from inception to July 2024. The literature search was updated in June 2025 and no additional eligible articles were identified for inclusion. Title and abstract screening, full-text screening, and data extraction were performed in duplicate. The risk of bias was assessed using Cochrane’s risk of bias (RoB) 2.0 tool. The critically important outcome was pain measured using validated tools including unidimensional behaviour and multidimensional (comprising combinations of contextual, behavioural, and/or physiological components) tools. Secondary outcomes included procedure success and adverse events. Pooled effect estimates were standardized mean difference (SMD) and relative risk (RR) with 95% confidence intervals (CI) using random effects models. A GRADE assessment of the overall certainty of the evidence for each outcome was completed. Results Five studies including a total of 358 neonates were included. All assessed pain from arterial puncture rather than cannulation. The interventions evaluated in the included studies were: 1) white noise (50 dB) compared to control (0 dB), 2) expressed breast milk compared to 25% oral dextrose, 3) music, 25% oral dextrose or both, 4) familiar scent compared to unfamiliar scent or control, and 5) 24% oral sucrose compared to no intervention. Expressed breast milk was effective in reducing procedural pain compared to 25% oral dextrose (SMD -0.95 [95% CI -1.64, -0.24]; n = 36). The familiar scent was effective in reducing the duration of cry when compared to unfamiliar scent (MD -22.96 [95% CI -33.20, -12.72]; n = 90) and control (MD -25.22 [95% CI -35.22, -15.22]; n = 90) respectively. There was low certainty of evidence for all critical outcomes. No statistically significant difference was demonstrated for other comparisons. Conclusion: Expressed breast milk and familiar scent may be effective in reducing pain during arterial puncture based on single studies, however, there is low confidence in the estimates of effect. There is a need for further research on pharmacological interventions for this procedure.

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)0.013
metaresearch head score (Gemma)0.035
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.019
Threshold uncertainty score0.069

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.035
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0190.039
Bibliometrics0.0060.006
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.022
GPT teacher head0.320
Teacher spread0.298 · 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 designMeta-analysis
Domainnot available
GenreReview

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
Published2025
Admission routes1
Has abstractyes

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