Magnetic noninvasive acupuncture for infant comfort (<scp>MAGNIFIC</scp>) – a single‐blinded randomised controlled pilot trial
Bibliographic record
Abstract
AIM: To determine the safety and feasibility of auricular noninvasive magnetic acupuncture (MA) to decrease infant pain during heel pricks. METHODS: Infants requiring heel pricks for blood collection were randomised to either MA (n = 21) or placebo (P) (n = 19) after parental informed consent. MA or placebo stickers were placed on both ears according to the Battlefield Protocol by an unblinded investigator and left on for 3 days. Pain was assessed with the Premature Infant Pain Profile (PIPP) by blinded clinicians. RESULTS: Mean gestation (MA:34.1, P:34.4 weeks) and age of infants (MA:5.3, P:4.5 days) were similar as were mean (SD) pre (MA:1.7(1.4), P:2.1(1.9)) and post (MA:1.6(1.4), P: 2.1(1.7)) heel prick PIPP scores. PIPP scores were significantly lower in MA infants during heel pricks (MA:5.9(3.7), P: 8.3(4.7), p = 0.04). One-way ANCOVA modelling showed that MA was significantly associated with lower PIPP scores after controlling for analgesic use (p = 0.043). No differences in heart rate, oxygen saturation, analgesic use or adverse effects (e.g. local skin reactions) noted. CONCLUSION: This pilot study shows that auricular MA is feasible in neonates and may reduce PIPP scores during heel pricks. Further study is required to determine the impact of MA on other painful or stressful conditions and on neurodevelopment.
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How this classification was reachedexpand
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 | 0.025 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".