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Record W2056400643 · doi:10.4021/jcgo.v1i2-3.14

Growth Discordance is not an Independent Risk Factor for Adverse Perinatal Outcomes in Twin Pregnancies

2012· article· en· W2056400643 on OpenAlexvenueno aff
Shunji Suzuki, Yusuke Inde, Yoshie Hiraizumi, Hidehiko Miyake

Bibliographic record

VenueJournal of Clinical Gynecology and Obstetrics · 2012
Typearticle
Languageen
FieldMedicine
TopicAssisted Reproductive Technology and Twin Pregnancy
Canadian institutionsnot available
Fundersnot available
KeywordsObstetricsMedicineConcordanceSmall for gestational ageFetal growthBirth weightTwin PregnancyMonochorionic twinsLow birth weightFetal weightGestational agePregnancyFetusInternal medicine

Abstract

fetched live from OpenAlex

Background: The aim of this study was to investigate the perinatal characteristics and outcomes in growth discordant monochorionic and dichorionic twin pregnancies concerning the difference of actual weight of each twin (appropriate for gestational age or small for gestational age; AGA or SGA).  Methods: We examined normally growth (AGA–AGA) and AGA-SGA monochorionic and dichorionic twin pregnancies with birth (or fetal) weight discordancel (6 AGA-AGA and 54 AGA-SAG monochorionic, and 16 AGA-AGA and 97 AGA-SGA dichorionic twin pregnancies). In addition, we examined normally growth (AGA–AGA) and AGA-SGA monochorionic and dichorionic twin pregnancies with birth (or fetal) weight concordance as control (97 AGA-AGA and 66 AGA-SAG monochorionic, and 359 AGA-AGA and 137 AGA-SGA dichorionic twin pregnancies). Results: Growth discordance in the monochorionic and diamniotic twin pregnancies was associated with adverse outcomes only in the SGA twins of the discordant AGA-SGA twin pregnancies.  Conclusion: The presence of growth discordance or growth restriction may not be an independent risk factor for adverse perinatal outcomes in twin pregnancies. doi:10.4021/jcgo14w

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)0.037
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 score0.048
Threshold uncertainty score0.971

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.037
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.063
GPT teacher head0.382
Teacher spread0.319 · 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

Citations5
Published2012
Admission routes1
Has abstractyes

Explore more

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