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Record W2039160158 · doi:10.1159/000315295

Effect of Chorionic Villus Sampling on Uterine Artery Doppler

2010· article· en· W2039160158 on OpenAlexaff
Asma Khalil, Ranjit Akolekar, Argyro Syngelaki, Jose-Maria Perez Penco, K. H. Nicolaides

Bibliographic record

VenueFetal Diagnosis and Therapy · 2010
Typearticle
Languageen
FieldMedicine
TopicPregnancy and preeclampsia studies
Canadian institutionsWomen's College Hospital
FundersFetal Medicine Foundation
KeywordsMedicineUterine arteryGynecologyChorionic villus samplingGestationPregnancyObstetricsGestational ageFetusPopulationPulsatility indexFirst trimester

Abstract

fetched live from OpenAlex

INTRODUCTION: The aim of this study was to examine the potential effect of chorionic villus sampling (CVS) on placental perfusion by examining the change in uterine artery pulsatility index (PI) between the first and second trimesters of pregnancy. MATERIALS AND METHODS: This was a prospective screening study for pregnancy complications which included measurement of uterine artery PI at 11(+0) to 13(+6) weeks and at 20(+0) to 24(+6) weeks of gestation. In women at increased risk for fetal aneuploidies, CVS was performed. Uterine artery PI in the first and second trimesters, and the change in PI between the two examinations were compared between the CVS and non-CVS groups. RESULTS: The study population included 8,822 singleton pregnancies, in 308 of which CVS was performed. In the CVS group, compared to the non-CVS group, the median uterine artery PI before CVS, corrected for gestational age, was higher in both the first and second trimesters of pregnancy, but the change in PI between the two examinations was not significantly different (p = 0.789). CONCLUSION: The performance of CVS in the first trimester is unlikely to interfere with normal placentation.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.770
Threshold uncertainty score0.358

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 head0.023
GPT teacher head0.313
Teacher spread0.290 · 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

Citations7
Published2010
Admission routes1
Has abstractyes

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