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Record W2156414575

Narcotic tapering in pregnancy using long-acting morphine: an 18-month prospective cohort study in northwestern Ontario.

2015· article· en· W2156414575 on OpenAlexaffabout
Roisin Dooley, Joe Dooley, Irwin Antone, John Guilfoyle, Lianne Gerber-Finn, Kara Kakekagumick, Helen Cromarty, Wilma M. Hopman, Jill Muileboom, Nicole Brunton, Len Kelly

Bibliographic record

VenuePubMed · 2015
Typearticle
Languageen
FieldMedicine
TopicPrenatal Substance Exposure Effects
Canadian institutionsQueen's UniversityCollege of Family Physicians of CanadaPositive Living NorthNOSM UniversityUniversity of Northern British Columbia
Fundersnot available
KeywordsNarcoticMedicineIncidence (geometry)Prospective cohort studyPregnancyMorphineCohortTaperingObstetricsAbstinenceAnesthesiaPediatricsSurgeryInternal medicinePsychiatry
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: To document the management of and outcomes for patients receiving narcotic replacement and tapering with long-acting morphine preparations during pregnancy. DESIGN: A prospective cohort study over 18 months. SETTING: Northwestern Ontario. PARTICIPANTS: All 600 births at Meno Ya Win Health Centre in Sioux Lookout, Ont, from January 1, 2012, to June 30, 2013, including 166 narcotic-exposed pregnancies. INTERVENTION: Narcotic replacement and tapering of narcotic use with long-acting morphine preparations. MAIN OUTCOME MEASURES: Prenatal management of maternal narcotic use, incidence of neonatal abstinence syndrome, and other neonatal outcomes. RESULTS: The incidence of neonatal abstinence syndrome fell significantly to 18.1% of pregnancies exposed to narcotics (from 29.5% in a previous 2010 study, P = .003) among patients using narcotic replacement and tapering with long-acting morphine preparations. Neonatal outcomes were otherwise equivalent to those of the nonexposed pregnancies. CONCLUSION: In many patients, long-acting morphine preparations can be safely used and tapered in pregnancy, with a subsequent decrease in observed neonatal withdrawal symptoms.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.536
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.048
GPT teacher head0.277
Teacher spread0.229 · 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 designObservational
Domainnot available
GenreEmpirical

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

Citations29
Published2015
Admission routes2
Has abstractyes

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