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Major Trauma in Pregnant Women During the Summer

2005· article· en· W2040064404 on OpenAlexaffabout
Donald A. Redelmeier, Aaron M. Drucker, Vikram Venkatesh

Bibliographic record

VenueThe Journal of Trauma: Injury, Infection, and Critical Care · 2005
Typearticle
Languageen
FieldMedicine
TopicPregnancy-related medical research
Canadian institutionsUniversity of TorontoCanadian Institutes of Health ResearchInstitute for Clinical Evaluative SciencesSunnybrook Health Science Centre
Fundersnot available
KeywordsMedicineConfidence intervalPregnancyIncidence (geometry)DemographyObstetricsRecklessnessEmergency medicineInternal medicinePsychology

Abstract

fetched live from OpenAlex

BACKGROUND: Pregnant women represent a major challenge in trauma care because of the risks to both mother and child and because of the difficulties in following standard protocols. METHODS: We analyzed data for all pregnant women admitted to the hospital in Canada over 7 years to test whether major trauma still clustered in the summer despite their aversion toward alcohol, recklessness, and extreme sports. RESULTS: A total of 2,618 pregnant women sustained major trauma. The prevalence of pregnancy was marginally lower in summer than in winter (decrease, 3%; 95% confidence interval, 2-4%), whereas the incidence of major trauma in pregnant women was significantly higher in summer than in winter (increase, 12%; 95% confidence interval, 3-21%; p = 0.005). No evidence of offsetting decreases in severity appeared in analyses of length of stay, number of surgical procedures, or mortality. CONCLUSION: We suggest that normal lifestyle choices contribute to an increased risk of major trauma during pregnancy and merit greater awareness throughout the year.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.755
Threshold uncertainty score0.595

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.020
GPT teacher head0.339
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.

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

Citations15
Published2005
Admission routes2
Has abstractyes

Explore more

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