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Record W1964322648 · doi:10.1159/000053943

Is Routine Amniocentesis for Advanced Maternal Age Still Indicated?

2001· article· en· W1964322648 on OpenAlexaff
Marc Dommergues, François Audibert, C Benattar, Catherine M. Champagne, Victor Gomel, René Frydman

Bibliographic record

VenueFetal Diagnosis and Therapy · 2001
Typearticle
Languageen
FieldMedicine
TopicPrenatal Screening and Diagnostics
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsAmniocentesisMedicineTrisomyObstetricsAdvanced maternal ageGynecologySecond trimesterDown syndromeConfidence intervalPregnancyUltrasoundTriple testAmniotic fluidFetusPrenatal diagnosisInternal medicineRadiology

Abstract

fetched live from OpenAlex

OBJECTIVE: To evaluate a policy of selective rather than routine use of amniocentesis for advanced maternal age. METHOD: A consecutive series of 359 pregnant women aged 38-47 underwent nuchal translucency measurement (NTM) at 10-14 weeks, maternal serum screening (MSS) by alpha-fetoprotein (AFP) and human chorionic gonadotropin (hCG) at 15-17 weeks, and second trimester ultrasound at 21-23 weeks. Women with NTM <3 mm, MSS-derived risk <1/250, and a normal second trimester sonography were considered at low risk and were suggested not to have an amniocentesis. RESULTS: Either the NTM or MSS test was positive in 130 women; 105 (81%) of them elected to have an amniocentesis, versus 122 (53%) of 229 in whom both tests were negative (p < 0.001). Nineteen (5%) of 359 patients had NTM > or =3 mm; all 7 cases of Down's syndrome were in this group; 122 (34%) of 359 patients had a MSS-derived risk > or =1/250; 6 of the 7 cases of Down's syndrome were in this group: Ten patients had an abnormal second trimester ultrasound, 1 of which had trisomy 18. Of the 219 patients with MSS-derived risk <1/250, a NTM <3 mm, and a normal second trimester ultrasound, none had a baby with a chromosomal abnormality (95% confidence interval: 0-1.4%). CONCLUSION: Amniocentesis may be offered on a selective rather than routine basis in women over 38, based upon the results of noninvasive screening tests.

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 score0.316
Threshold uncertainty score0.569

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 head0.032
GPT teacher head0.301
Teacher spread0.269 · 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

Citations20
Published2001
Admission routes1
Has abstractyes

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