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Record W2971048731 · doi:10.21926/obm.icm.1903051

A Review on Acupuncture as a Non-Pharmacological Treatment for Neonatal Abstinence Syndrome (NAS)

2019· review· en· W2971048731 on OpenAlexafffund
Avneet K. Mangat, Georg M. Schmölzer

Bibliographic record

VenueOBM Integrative and Complementary Medicine · 2019
Typereview
Languageen
FieldMedicine
TopicPrenatal Substance Exposure Effects
Canadian institutionsRoyal Alexandra HospitalUniversity of Alberta
FundersNorthern Alberta Clinical Trials and Research CentreUniversity of AlbertaChildren's Hospital FoundationStollery Children’s Hospital FoundationWomen and Children's Health Research InstituteChildren's Health Research InstituteHeart and Stroke Foundation of Canada
KeywordsAcupunctureMedicineAcupressureAbstinenceDistressIntensive care medicineAlternative medicinePsychiatry

Abstract

fetched live from OpenAlex

The incidence of Neonatal Abstinence Syndrome (NAS) is increasing due to more mothers using illicit drugs. This results in an increase in costs and resources for the healthcare system. Newborns with NAS might experience withdrawal symptoms that can cause pain, distress, and may potentially increase the risk of future health complications. It is therefore important to find effective treatments that can alleviate NAS. Various non-pharmacological treatments are used in conjunction with pharmacological treatments to reduce the length of hospital stay and duration of drug treatment. The objective of our review is to assess the safety and efficacy of acupuncture. PubMed, and Google scholar were searched using the terms: ‘acupuncture’, ‘acupressure’, ‘auricular therapy’, ‘infant’, ‘neonatal abstinence syndrome’, ‘complementary medicine’, and ‘neonatal withdrawal’. We included eight studies examining safety and efficacy of acupuncture for NAS. Results showed that acupuncture is safe. However, its efficacy is inconclusive and more studies are needed to confirm acupuncture’s efficacy as a treatment for NAS.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.877
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0050.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.098
GPT teacher head0.426
Teacher spread0.328 · 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; both teacher heads agree on what is shown here.

Study designOther design
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

Citations2
Published2019
Admission routes2
Has abstractyes

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