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Record W4412834660 · doi:10.1093/pch/pxae116

Pain from suprapubic aspiration versus urethral catheterization in neonates and infants ≤6 months: A systematic review and meta-analysis

2024· review· en· W4412834660 on OpenAlexaff
Najla Tabbara, Anna Taddio, Elizabeth Uleryk, Vibhuti Shah

Bibliographic record

VenuePaediatrics & Child Health · 2024
Typereview
Languageen
FieldMedicine
TopicPediatric Pain Management Techniques
Canadian institutionsOntario Drug Policy Research NetworkPublic Health OntarioUniversity of TorontoMount Sinai Hospital
Fundersnot available
KeywordsMedicineMeta-analysisStrictly standardized mean differenceConfidence intervalRandomized controlled trialSystematic reviewRelative riskPain assessmentAdverse effectGrading (engineering)Sample size determinationMEDLINEPhysical therapySurgeryInternal medicinePain management

Abstract

fetched live from OpenAlex

ABSTRACT Background The evaluation of suspected late-onset sepsis in neonates and infants ≤6 months includes obtaining a sterile urine sample. Two techniques are used interchangeably in clinical practice to detect the presence of microorganisms: suprapubic aspiration (SPA) and urethral catheterization (UC). At present, it is unclear which method causes more pain. The primary objective of this systematic review and meta-analysis is to determine which technique is more painful. Methods Electronic databases were searched for relevant randomized and quasi-randomized trials in September 2023. The literature search was updated in June 2025 and no additional eligible articles were identified for inclusion. Title and abstract screening, followed by 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 (behavioural) and multidimensional (combination of behavioural and physiological components) tools. Secondary outcomes included procedure success, procedure duration, and adverse events. Pooled effects estimates were standardized mean difference (SMD), mean difference (MD), and relative risk (RR) with 95% confidence intervals (CI) from random effects meta-analyses. Certainty assessment was completed using Grading of Recommendations, Assessment, Development and Evaluation (GRADE) methodology. Results Of the seven included studies, five studies reported pain scores among 378 infants. Clinical heterogeneity was noted across the studies specifically differences in postnatal age, procedure details (e.g., operator skillset, use of anesthetic and analgesic, ultrasound guidance), and pain assessment tools (unidimensional vs. multidimensional pain scores). There was no difference in pain score for overall procedure for SPA versus UC (SMD 0.25 [95% CI –0.63, 1.14], I2 = 84%; n = 330) and duration of cry (MD 5.26 [95% CI –43.72, 54.23], I2 = 97%; n = 245). The quality of evidence was low for these outcomes. There was a statistically significant difference in procedure duration when SPA was compared to UC (MD –62.62 [95% CI –112.96, –12.27], I2 = 96%; n = 299) with SPA being the procedure of shorter duration. The quality of evidence for this outcome was moderate. None of the studies reported any serious adverse events. Discussion There is insufficient evidence to recommend one technique over the other for reducing pain in infants ≤6 months. Healthcare professionals can select SPA or UC based on the unit preference, skillset, and available resources. Future research is required to inform clinical practice.

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)0.033
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 score0.023
Threshold uncertainty score0.067

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.033
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0230.040
Bibliometrics0.0060.006
Science and technology studies0.0010.001
Scholarly communication0.0040.002
Open science0.0020.002
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.060
GPT teacher head0.363
Teacher spread0.303 · 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
Published2024
Admission routes1
Has abstractyes

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