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Record W2130202548 · doi:10.3109/01443615.2013.872609

TORCH screening in pregnancy. Where are we now? An audit of use in a tertiary level centre

2014· article· en· W2130202548 on OpenAlexaff
Sunida Halawa, L. McDermott, Matthew Donati, M. Denbow

Bibliographic record

VenueJournal of Obstetrics and Gynaecology · 2014
Typearticle
Languageen
FieldMedicine
TopicCytomegalovirus and herpesvirus research
Canadian institutionsSt. Michael's Hospital
Fundersnot available
KeywordsMedicineObstetricsPolyhydramniosObstetrics and gynaecologyRubellaMiscarriagePregnancyPopulationGynecologyPediatricsFetusVaccination

Abstract

fetched live from OpenAlex

This audit was performed in the obstetrics and gynaecology department of a tertiary referral hospital, to investigate the use and results of TORCH screening. St Michael's Hospital delivers approximately 6,000 women from South Bristol a year and receives tertiary referrals from the South West of England and South Wales. It was found that 739 patients over a 6-year period from April 2006 to January 2012 underwent testing. The majority's indication (21%) was polyhydramnios. Three patients had evidence of primary CMV infection in pregnancy on serology, two for fetal indications (polyhydramnios and echogenic bowel) and one following a miscarriage. There were no confirmed cases of gestational toxoplasma or rubella. Routine testing for toxoplasma and rubella infection as part of the TORCH screening in cases of fetal or obstetric abnormality should thus be discontinued in our population.

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)0.002
metaresearch head score (Gemma)0.015
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 score0.028
Threshold uncertainty score0.056

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
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 head0.064
GPT teacher head0.316
Teacher spread0.252 · 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

Citations9
Published2014
Admission routes1
Has abstractyes

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