MétaCan
Menu
Back to cohort
Record W2160347759 · doi:10.1080/00952990902825413

Management of Acute Postpartum Pain in Patients Maintained on Methadone or Buprenorphine During Pregnancy

2009· article· en· W2160347759 on OpenAlexaff
Hendrée E. Jones, Kevin E. O’Grady, Jennifer Dahne, Rolley E. Johnson, Laëtitia Lemoine, Lorriane Milio, Alice Ordean, Peter Selby

Bibliographic record

VenueThe American Journal of Drug and Alcohol Abuse · 2009
Typearticle
Languageen
FieldMedicine
TopicPrenatal Substance Exposure Effects
Canadian institutionsCentre for Family MedicineUniversity of Toronto
FundersNational Institute on Drug Abuse
KeywordsBuprenorphineMethadoneMedicineOpioidAnesthesiaPregnancyPostpartum periodInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Empirical evidence is needed to guide adequate postpartum pain relief of methadone and buprenorphine stabilized patients. OBJECTIVES: To first determine the adequacy of pain control using non-opioid and opioid medication in participants stabilized on buprenorphine or methadone before a vaginal delivery. Second, to compare the amount of non-opioid and opioid medication needed for adequate pain control for buprenorphine-and methadone-maintained patients during the immediate postpartum period. METHODS: Pain control adequacy and amount of non-opioid and opioid medication needed in buprenorphine- (n = 8) and methadone-maintained (n = 10) patients over the first five days postpartum were examined. RESULTS: Pain ratings and number of opioid medication doses decreased over time in both medication groups. While the buprenorphine and methadone groups began with similar mean daily ibuprofen (IB) doses, the buprenorphine group decreased its IB use, while the methadone group increased its IB use. CONCLUSIONS AND SCIENTIFIC SIGNIFICANCE: Patients treated daily with either buprenorphine or methadone can have adequate pain control postpartum with opioid medication and IB. Pain control is dependent on the opioid-agonist medication in use at delivery, and must be individualized.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.780
Threshold uncertainty score0.385

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
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 head0.007
GPT teacher head0.252
Teacher spread0.245 · 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

Citations71
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueThe American Journal of Drug and Alcohol AbuseSame topicPrenatal Substance Exposure EffectsFrench-language works237,207