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Record W2772913147 · doi:10.1080/14767058.2017.1414180

Nonpharmacological management of neonatal abstinence syndrome: a review of the literature

2017· review· en· W2772913147 on OpenAlexaff
Gareth Ryan, Joe Dooley, Lianne Gerber Finn, Len Kelly

Bibliographic record

VenueThe Journal of Maternal-Fetal & Neonatal Medicine · 2017
Typereview
Languageen
FieldMedicine
TopicPrenatal Substance Exposure Effects
Canadian institutionsNOSM University
Fundersnot available
KeywordsMedicinePsychological interventionAbstinenceMEDLINEModalitiesIntensive care medicineBreastfeedingPopulationPhysical therapyPsychiatryPediatrics

Abstract

fetched live from OpenAlex

BACKGROUND: Infants with neonatal abstinence syndrome (NAS) experience withdrawal that occurs as a result of termination of placental opioid supply following delivery. Common symptoms include restlessness, tremors, agitation and gastrointestinal disturbances. Severe NAS is often treated using opioids and/or sedatives. Although commonly employed effectively in neonatal care, there is a lack of published information regarding nonpharmacological management of the NAS infant. OBJECTIVE: The purpose of this review was to summarize the current literature on nonpharmacological management of NAS. METHODS: A literature search of Medline and EMBASE was performed for articles published between 2000 and June 2107. RESULTS: Nonpharmacological management encompasses "environmental control", "feeding methods", "social integration", "soothing techniques" and "therapeutic modalities". Several interventions, including: breastfeeding, swaddling, rooming-in, environmental control and skin to skin contact have proven to be effective in managing NAS and should be incorporated into standard of care for this population (Level I-III Evidence). These interventions can be effective when offered in combination with pharmacological therapy, or as stand-alone therapy for less severe cases of NAS (Finnegan score <8). CONCLUSIONS: Given the increasing body of evidence on its efficacy and ease of implementation, nonpharmacological treatment should universally be incorporated into standard of care 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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.659
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0050.001
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0030.001
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.037
GPT teacher head0.359
Teacher spread0.322 · 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; a candidate call from one teacher head, not a consensus.

Study designSystematic review
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

Citations59
Published2017
Admission routes1
Has abstractyes

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