The ultrasound-guided versus standard technique for peripheral intravenous catheter placement by nurses: A systematic review and meta-analysis
Bibliographic record
Abstract
Aim: To comprehensively evaluate the efficacy of Ultrasound-guided technique for peripheral intravenous catheter placement by nurses in their daily practice. Background: Peripheral intravenous catheter insertion is a common clinical procedure in healthcare settings. Ultrasound-guided peripheral intravenous placement has emerged in recent decades and was recognized as particularly useful in some specific patient groups. Methods: Studies that had compared the ultrasound-guided and traditional approaches were eligible for inclusion and further analysis. The primary outcome was the success rate on the first intravenous insertion attempt. The secondary outcomes included the time needed for successful insertion, and the average number of attempts to establish the IV access. We systematically assess all studies using Cochrane Collaboration's Risk of Bias tool and the Newcastle-Ottawa Scale. We calculated the odds ratio and standardized mean difference with 95 % confidence intervals for the outcomes. Data were analyzed and visualized on Review Manager 5.3.4 and Stata 16.0. Results: 23 studies were included (17 randomized controlled trials and six cohort studies) with a population of 2051 patients offered ultrasound-assisted technique and 2479 treated with the conventional approach for comparison. The former approach was associated with a higher success rate on the first attempt in comparison (OR = 2.95, 95 % CI: 1.86, 4.69). This technique also took less time and less acupuncture to patients' skin (SMD = -0.62, 95 % CI: 1.01, -0.23; SMD = -0.55, 95 % CI: 0.92, -0.18). In the sub-group analyses, children were more likely to benefit from ultrasound guided technique. Ultrasound guided technique demonstrated consistent and significant benefits in emergency clinical settings. Hospitals from different geographical locations exhibited similar trends in the three outcomes. Year of publication and study design revealed inconsistent and insignificant outcomes. Conclusions: Ultrasound-guided technique can be a safer, faster, and more effective alternative to the traditional approach for nurses to establish intravenous access across different clinical settings and age groups.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.014 | 0.035 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.022 | 0.030 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".