A Systematic Review and Meta-analysis of New Interventions for Peripheral Intravenous Cannulation of Children
Why this work is in the frame
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Bibliographic record
Abstract
OBJECTIVE: Establishing intravenous access in children is often challenging for health professionals. Multiple attempts at peripheral intravenous cannulation (PIVC) cause increased pain and delayed delivery of therapy. Our objective was to synthesize and evaluate the best evidence for novel interventions designed to improve pediatric PIVC. METHODS: We searched for published and unpublished studies using MEDLINE, Cochrane Central Register of Controlled Trials, EMBASE, CINAHL, Web of Science, ClinicalTrials.gov, and Google.ca. We included studies for meta-analysis if they were randomized, evaluated an intervention other than ultrasound, and reported on 1 of 3 primary outcome measures: success or failure of PIVC, number of attempts to successful cannulation, and procedure time. Two blinded reviewers assessed studies for eligibility and applied a data extraction form to those included. Study quality was assessed using the Cochrane Risk of Bias Tool. RESULTS: Seven studies met the inclusion criteria. Randomized controlled trials (RCTs) of 3 different interventions were identified. A meta-analysis of 3 RCTs found that use of a transilluminator was associated with a decreased risk of first-attempt PIVC failure (risk ratio, 0.66; confidence interval, 0.41-1.06). Meta-analysis of 3 other RCTs found that near-infrared light devices do not impact the risk of first-attempt PIVC failure (risk ratio, 0.99; confidence interval, 0.74-1.33). CONCLUSIONS: Near-infrared light devices might be efficacious in selected subpopulations, but the available evidence does not support an overall benefit in the pediatric population. Transilluminators modestly improve pediatric PIVC, but the clinical significance of this benefit is questionable. Nitroglycerin ointments may increase the risk of PIVC failure and are associated with adverse effects.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.010 | 0.008 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it