Laser Acupuncture for Neonatal Abstinence Syndrome: A Randomized Controlled Trial
Bibliographic record
Abstract
BACKGROUND: Neonatal abstinence syndrome (NAS) is usually treated with opiate derivatives and supported with nonpharmacological treatment. METHODS: This prospective, randomized, controlled, blinded, single-center study was carried out between March 2009 and November 2014. Newborn infants diagnosed with NAS after maternal opioid substitution therapy were eligible for inclusion. Infants were randomly allocated to the acupuncture group (combining laser acupuncture and pharmacological therapy of morphine and phenobarbital) or control group (pharmacological therapy alone). Laser acupuncture was performed with a LABpen MED 10 (675 nm/10 mW) at 5 ear and 4 body acupuncture points, bilaterally, and sessions were repeated every day. The primary outcome measure was duration of oral morphine therapy for NAS. Secondary outcomes included highest single Finnegan score, time to highest single Finnegan score, maximum amount of oral morphine solution (in milliliters per kilogram and milligrams per kilogram), time to maximum amount of oral morphine solution, and length of hospital stay. RESULTS: Twenty-eight newborns (14 in each group) were eligible for analysis. Duration of oral morphine therapy was significantly reduced in the acupuncture group compared with the control group (28 vs 39 days, respectively, P = .019). In addition, we observed a significantly reduced length of hospital stay in the acupuncture group compared with the control group (35 days [interquartile range 25 to 47] vs 50 days [36 to 66], P = .048). CONCLUSIONS: Adjunctive laser acupuncture significantly reduced the duration of morphine therapy in newborns with NAS.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".