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Associations Between Ethnicity and Admission to Intensive Care Among Women Giving Birth: A Cohort Study

2023· article· en· W4321502093 on OpenAlexaboutno aff
Jennifer Jardine, Ipek Gurol‐Urganci, Tina Harris, Jane Hawdon, Dharmintra Pasupathy, Jan van der Meulen, Kate Walker

Bibliographic record

VenueObstetric Anesthesia Digest · 2023
Typearticle
Languageen
FieldMedicine
TopicMaternal and Perinatal Health Interventions
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineEthnic groupIntensive care unitNeonatal intensive care unitIntensive careMaternal morbidityDemographyCohort studyPediatricsEmergency medicineObstetricsPregnancyIntensive care medicineInternal medicine

Abstract

fetched live from OpenAlex

( BJOG . 2022;129:733–742) Intensive care unit (ICU) admission among women giving birth is an indicator of severe maternal morbidity and is associated with a high risk of mortality. Studies in the United Kingdom have shown that patients from ethnic minority groups have worse maternal outcomes compared with White patients. Previous studies in the Netherlands, Canada, and the United States have shown an ethnic disparity in maternal ICU admissions. This study by Jardine et al aimed to determine the association between ethnicity and ICU admission among patients giving birth in the United Kingdom and Wales.

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)0.001
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 score0.017
Threshold uncertainty score0.567

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.038
GPT teacher head0.331
Teacher spread0.293 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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