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Record W2728636702 · doi:10.1002/pd.5112

Assessing the cost of implementing the 2011 Society of Obstetricians and Gynecologists of Canada and Canadian College of Medical Genetics practice guidelines on the detection of fetal aneuploidies

2017· article· en· W2728636702 on OpenAlexaffabout
Margaret Lilley, Stacey Hume, Nina Karpoff, Georges Maire, Sherry Taylor, Robert Tomaszewski, Maisa Yoshimoto, Susan Christian

Bibliographic record

VenuePrenatal Diagnosis · 2017
Typearticle
Languageen
FieldMedicine
TopicPrenatal Screening and Diagnostics
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsChorionic villus samplingAmniocentesisMedicineGynecologyAneuploidyPrenatal diagnosisObstetricsProducts of conceptionTest (biology)Family medicinePregnancyGeneticsChromosomeBiologyFetusGestation

Abstract

fetched live from OpenAlex

BACKGROUND: The Society of Obstetricians and Gynecologists of Canada and the Canadian College of Medical Genetics published guidelines, in 2011, recommending replacement of karyotype with quantitative fluorescent polymerase chain reaction when prenatal testing is performed because of an increased risk of a common aneuploidy. STUDY OBJECTIVE: This study's objective is to perform a cost analysis following the implementation of quantitative fluorescent polymerase chain reaction as a stand-alone test. RESULTS: A total of 658 samples were received between 1 April 2014 and 31 August 2015: 576 amniocentesis samples and 82 chorionic villi sampling. A chromosome abnormality was identified in 14% (93/658) of the prenatal samples tested. The implementation of the 2011 Society of Obstetricians and Gynecologists of Canada and the Canadian College of Medical Genetics guidelines in Edmonton and Northern Alberta resulted in a cost savings of $46 295.80. The replacement of karyotype with chromosomal microarray for some indications would be associated with additional costs. CONCLUSION: The implementation of new test methods may provide cost savings or added costs. Cost analysis is important to consider during the implementation of new guidelines or technologies. © 2017 John Wiley & Sons, Ltd.

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)0.001
metaresearch head score (Gemma)0.023
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.116
Threshold uncertainty score0.986

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.023
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.064
GPT teacher head0.353
Teacher spread0.289 · 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.

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
Published2017
Admission routes2
Has abstractyes

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