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Record W2067559922 · doi:10.1055/s-0028-1103156

Comparison of Maternal Risk Factors between Placental Abruption and Placenta Previa

2008· article· en· W2067559922 on OpenAlexaff
Qiuying Yang, Shi Wu Wen, Karen A. Phillips, Lawrence Oppenheimer, Douglas Black, Mark Walker

Bibliographic record

VenueAmerican Journal of Perinatology · 2008
Typearticle
Languageen
FieldMedicine
TopicMaternal and fetal healthcare
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsPlacenta previaPlacental abruptionMedicineObstetricsSingletonPlacenta DiseasesPregnancyPlacentaGynecologyPopulationFetus

Abstract

fetched live from OpenAlex

The purpose of this study was to compare risk factors between placental abruption and placenta previa among primiparous and multiparous singleton pregnancies. We analyzed data from a population-based retrospective cohort with singleton pregnancies in the United States for 1995 to 2000. Maternal risk factors for placenta previa and placental abruption were examined using multiple logistic regressions. A total of 5,630,854 primiparous and 11,026,768 multiparous singleton pregnancies were available for final analyses after excluding subjects with missing information on outcomes or important exposures. Placental abruption was recorded in 4.8 per 1000 primiparous singleton births and 5.9 per 1000 multiparous singleton pregnancies. The occurrence of placenta previa was 1.9 per 1000 primiparous singleton pregnancies and 3.9 per 1000 multiparous singleton pregnancies. The effects of maternal age, race, parity, and previous cesarean section were stronger on placenta previa than on placental abruption, and the effects of cigarette smoking, alcohol drinking, and prenatal care were stronger on placental abruption than on placenta previa. A composite outcome of selected medical and pregnancy complications was related with placental abruption but not with placental previa. Placental abruption is more likely to be affected by conditions occurring during pregnancy, and placenta previa is more likely to be affected by conditions existing prior to pregnancy.

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)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.029
Threshold uncertainty score0.365

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.000
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 head0.037
GPT teacher head0.359
Teacher spread0.323 · 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 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

Citations58
Published2008
Admission routes1
Has abstractyes

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