Current Management of the Neonatal Abstinence Syndrome: A Critical Analysis of the Evidence
Bibliographic record
Abstract
OBJECTIVE: To systematically and critically analyse and summarise the published evidence for the rational choice of pharmacologic treatment of the neonatal abstinence syndrome (NAS), a frequently observed condition in neonates born to mothers who are dependent on physically addicting drugs. DESIGN: Studies comparing different pharmacological agents for the treatment of NAS were identified utilising MEDLINE and additionally the references cited in pertinent articles. The identified studies were critically analysed regarding their study designs and outcome measures. The reported data for the comparative efficacy of the drugs were summarised and evaluated. RESULTS: Fourteen studies were identified, most of them comparing treatment of NAS with phenobarbital, paregoric or diazepam. However, none of these studies was conducted in a double-blind fashion. Frequently, treatment allocations were not properly randomised. Prenatal drug exposure varied and was often not sufficiently verified. Outcome measures and their evaluations differed widely. Due to the different study objectives and flaws in study design, a combined analysis of the published data in the form of a meta-analysis was not deemed possible. When attempting to compare efficacy, diazepam appears to be less efficacious in treating NAS than phenobarbital or paregoric. The relative efficacy of paregoric and phenobarbital appears to depend upon the antenatal exposure of the neonate and on the outcome measure of the study. Only two studies evaluate the efficacy of pure opioids, none of them in direct comparison to paregoric. It remains questionable whether paregoric, which contains the central stimulant camphor and a large amount of alcohol, should be the opioid of choice for the treatment of NAS. CONCLUSION: Most published studies were conducted prior to the development of clinical epidemiology and modern study design and thus yielded only very limited comparative data on the benefits of different treatment protocols. There is very little evidence regarding the efficacy of different pharmacological therapy regimens to treat NAS. More studies are required to produce the evidence needed to allow a rational choice between treatment modalities of NAS and thus to ensure optimal care of the neonates suffering from this condition.
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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 | 0.036 | 0.124 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.010 | 0.007 |
| Bibliometrics | 0.020 | 0.011 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".