MétaCan
Menu
Back to cohort
Record W1991262814 · doi:10.1157/13112989

Pregnancy outcomes in women using inhaled fluticasone during pregnancy: a case series

2007· article· en· W1991262814 on OpenAlexaff
Jeeyae Choi, Jung Yeol Han, M.Y. Kim, E. Yadira Velázquez-Armenta, Alejandro A. Nava‐Ocampo

Bibliographic record

VenueAllergologia et Immunopathologia · 2007
Typearticle
Languageen
FieldMedicine
TopicPregnancy and Medication Impact
Canadian institutionsHospital for Sick ChildrenSickKids Foundation
Fundersnot available
KeywordsMedicinePregnancyFluticasoneObstetricsPediatricsComplicationInhalationSurgeryAnesthesia

Abstract

fetched live from OpenAlex

BACKGROUND: The aim of the study was to report the maternal and fetal outcomes of women with respiratory illnesses who were treated with inhaled fluticasone during pregnancy. MATERIAL AND METHODS: We identified 12 cases treated with inhaled fluticasone during pregnancy out of women who received obstetric and teratogen-risk evaluation at the Korean Motherisk Program. A detailed medical and obstetric history was obtained and cases were followed-up until either spontaneous or voluntary pregnancy termination or delivery occurred. RESULTS: None of the participants had any obstetric complication. However, in addition to fluticasone, most of the 12 cases were simultaneously exposed to a variety of medications. There were 3 abortions (one spontaneous and 2 requested by the patients arguing personal reasons). Live born babies without any evidence of major congenital malformations included 8 singleton babies and 2 twins. Of them, 3 babies were born prematurely. CONCLUSIONS: Our results are in agreement with previous large studies where no increased rate of adverse outcomes was reported with the use of inhaled corticosteroids during pregnancy.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.028
GPT teacher head0.323
Teacher spread0.294 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

Citations6
Published2007
Admission routes1
Has abstractyes

Explore more

Same venueAllergologia et ImmunopathologiaSame topicPregnancy and Medication ImpactFrench-language works237,207