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Record W2128189280 · doi:10.1080/01443610802462357

Evaluating nuchal translucency scans performed for trisomy screening in a district general hospital between July 1998 and January 2004

2008· article· en· W2128189280 on OpenAlexaff
R. MacRae, Dale Ojutiku, J. Duke-MacRae, F. Usifo, Moses B. Ekong

Bibliographic record

VenueJournal of Obstetrics and Gynaecology · 2008
Typearticle
Languageen
FieldMedicine
TopicPrenatal Screening and Diagnostics
Canadian institutionsSt. Thomas Hospital
Fundersnot available
KeywordsMedicineNuchal translucencyNuchal Translucency MeasurementTrisomyObstetricsDown syndromeGynecologyPrenatal diagnosisFetusPregnancy

Abstract

fetched live from OpenAlex

In October 2003, The National Institute for Clinical Excellence recommended screening tests for Down's syndrome (DS) to come into effect from April 2007. These tests were recommended based on studies performed in research centres. Some of the recommended tests have a fetal nuchal translucency scan component. In this retrospective study at the Basildon and Thurrock University Hospital we have evaluated nuchal translucency (NT) scans performed between July 1998 and January 2004 on 18,965 fetuses with a view to comparing our findings with research centres. In spite of our high standards, our detection rate for DS was 72.0% (95% CI 56.0-83.8%) for a 5% false positive rate. This was much lower than the 85% reported from the seminal paper in 1994. We believe that the advice given to women should be based on data from working programmes and not research units.

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)0.008
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 score0.031
Threshold uncertainty score0.061

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
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 head0.052
GPT teacher head0.320
Teacher spread0.268 · 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

Citations2
Published2008
Admission routes1
Has abstractyes

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