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Record W2137451878

Incidence of narcotic abuse during pregnancy in northwestern Ontario: three-year prospective cohort study.

2014· article· en· W2137451878 on OpenAlexaffabout
Len Kelly, John Guilfoyle, Joe Dooley, Irwin Antone, Lianne Gerber-Finn, Roisin Dooley, Nicole Brunton, Kara Kakegamuck, Jill Muileboom, Wilma M. Hopman, Helen Cromarty, Barb Linkewich, Jennifer Maki

Bibliographic record

VenuePubMed · 2014
Typearticle
Languageen
FieldMedicine
TopicPrenatal Substance Exposure Effects
Canadian institutionsUniversity of OttawaPositive Living NorthKingston General HospitalUniversity of Northern British ColumbiaMcMaster University
Fundersnot available
KeywordsNarcoticIncidence (geometry)MedicinePregnancyProspective cohort studyCohortObstetricsCohort studySubstance abusePediatricsDemographyPsychiatrySurgeryInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: To document the incidence and outcomes of narcotic use during pregnancy in northwestern Ontario. DESIGN: Three-year prospective cohort study. SETTING: Sioux Lookout and surrounding communities in northwestern Ontario. PARTICIPANTS: A total of 1206 consecutive births in a catchment area of 28 000 First Nations patients. MAIN OUTCOME MEASURES: Incidence of narcotic use, and maternal and neonatal outcomes. RESULTS: Incidence of narcotic use in pregnancy has risen to 28.6% (P < .001) and incidence of neonatal abstinence syndrome has fallen to 18.0% of narcotic-exposed births (P = .003). Daily intravenous drug use is now a common pattern of abuse. CONCLUSION: Narcotic abuse in pregnancy has dramatically increased in northwestern Ontario. Neonatal outcomes have improved as a result of a family medicine-based prenatal and obstetric program that includes a narcotic replacement and tapering program.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.435
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.009
GPT teacher head0.211
Teacher spread0.203 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations22
Published2014
Admission routes2
Has abstractyes

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