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Record W2163211419 · doi:10.15537/1658-3175.3862

Incidence of ectopic pregnancy after assisted reproduction treatment

2007· article· en· W2163211419 on OpenAlexaffabout
Mohammed Al-Sunaidi

Bibliographic record

VenueSaudi Medical Journal · 2007
Typearticle
Languageen
FieldMedicine
TopicEctopic Pregnancy Diagnosis and Management
Canadian institutionsMcGill University
Fundersnot available
KeywordsMedicineEctopic pregnancyAssisted reproductive technologyObstetricsGynecologyPregnancyIncidence (geometry)InfertilityRetrospective cohort studySurgery

Abstract

fetched live from OpenAlex

OBJECTIVE: To assess the ectopic pregnancy risk among women who conceived with assisted reproductive technology (ART) procedures. METHODS: We performed a retrospective analysis of pregnancies as a result of ART procedure at McGill University Health Center, Quebec, Canada for the period from 1997 to 2006. RESULTS: The ectopic pregnancy rate was 1.6% and the heterotopic pregnancy rate was 13%. Maternal age, number of embryos transferred, ovarian hyperstimulation syndrome, use of assisted hatching, and Intra Cytoplasmic Sperm Injection (ICSI) were not significant predictors of ectopic pregnancy. CONCLUSION: Ectopic pregnancy rate in ART pregnancies is comparable to that of spontaneous pregnancies.

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)0.000
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.022
GPT teacher head0.316
Teacher spread0.295 · 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 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

Citations8
Published2007
Admission routes2
Has abstractyes

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