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Record W2099151030 · doi:10.1055/s-0034-1387927

Guidelines on Fetal Growth Restriction: A Comparison of Recent National Publications

2014· review· en· W2099151030 on OpenAlexaboutno aff
Keelin O’Donoghue, Fergal D. Malone, Julia Unterscheider

Bibliographic record

VenueAmerican Journal of Perinatology · 2014
Typereview
Languageen
FieldMedicine
TopicPregnancy and preeclampsia studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineGuidelineFetal growthContext (archaeology)Clinical PracticeTerminologyObstetricsFamily medicinePediatricsFetusPregnancyPathology

Abstract

fetched live from OpenAlex

OBJECTIVE: This study aims to compare recommendations from recently published national clinical guidelines for pregnancies complicated by fetal growth restriction (FGR). MATERIALS AND METHODS: Clinical guidelines informing best practice management of pregnancies with FGR issued by the American Congress of Obstetricians and Gynecologists, the Society of Obstetricians and Gynaecologists of Canada and the Royal College of Obstetricians and Gynaecologists in the United Kingdom are reviewed together with the published literature on this topic. RESULTS: Each of the guidelines uses different terminology to describe pregnancies affected by suboptimal fetal growth; all of them agree that an estimated fetal weight < 10th centile should alert clinicians to small fetal size. All guidelines describe risk factor screening for improved detection of FGR and acknowledge the limited accuracy achieved with fundal height measurement. No agreement is reached over the value of fetal weight customization. All colleges have varied opinions regarding methods of Doppler surveillance, however agree that umbilical artery Doppler is beneficial as primary surveillance tool. CONCLUSIONS: The results of this review relay significant inconsistencies and call for an urgent and practical international consensus on this important and common clinical topic. Current data were used to develop a clinical practice guideline for Ireland, which will be presented in context with this review.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.983
Threshold uncertainty score0.765

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.181
GPT teacher head0.466
Teacher spread0.286 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations61
Published2014
Admission routes1
Has abstractyes

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