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Record W2791676879 · doi:10.1136/bmjopen-2017-020578

Temporal trends in severe maternal and neonatal trauma during childbirth: a population-based observational study

2018· article· en· W2791676879 on OpenAlexafffund
Qi Wen, Giulia M. Muraca, Joseph Ting, Sarah Coad, Kenneth Lim, Sarka Lisonkova

Bibliographic record

VenueBMJ Open · 2018
Typearticle
Languageen
FieldMedicine
TopicPregnancy-related medical research
Canadian institutionsUniversity of British ColumbiaB.C. Women's Hospital & Health CentreBC Children's HospitalChildren's & Women's Health Centre of British ColumbiaSimon Fraser University
FundersCanadian Institutes of Health ResearchInstitute of Human Development, Child and Youth HealthMichael Smith Health Research BCBC Children's Hospital
KeywordsMedicineBirth traumaChildbirthObstetricsVaginal deliveryObservational studyPregnancyPopulationEpisiotomyLive birthRetrospective cohort studyOdds ratioSurgery

Abstract

fetched live from OpenAlex

OBJECTIVE: Instrumental vaginal delivery is associated with birth trauma to infant and obstetric trauma to mother. As caesarean delivery rates increased during the past decades, the rate of instrumental vaginal delivery declined. We examined concomitant temporal changes in the rates of severe birth trauma and maternal obstetric trauma. DESIGN: A retrospective observational study. SETTINGS AND PARTICIPANTS: All hospital singleton live births in Washington State, USA, 2004-2013, excluding breech delivery. Severe birth trauma (brain, nerve injury, fractures and other severe birth trauma) and obstetric trauma (third/fourth degree perineal lacerations, cervical/high vaginal lacerations) were identified from hospitalisation data. Pregnancy and delivery characteristics were obtained from birth certificates. Temporal trends were assessed by the Cochran-Armitage test. Logistic regression was used to obtain adjusted ORs (AORs) and 95% CI. RESULTS: Overall, 732 818 live births were included. The rate of severe birth trauma declined from 5.3 in 2004 to 4.5 per 1000 live births in 2013 (P<0.001). The decline was observed only in spontaneous vaginal delivery, the rates of fractures and other severe birth trauma declined by 5% and 4% per year, respectively (AOR: 0.95, 95% CI 0.94 to 0.97 and AOR: 0.96, 95% CI 0.93 to 0.99; respectively). The rate of third/fourth degree lacerations declined in spontaneous vaginal delivery from 3.5% to 2.3% (AOR: 0.95; 95% CI 0.94 to 0.95) and in vacuum delivery from 17.3% to 14.5% (AOR: 0.97, 95% CI 0.96 to 0.98). Among women with forceps delivery, these rates declined from 29.8% to 23.4% (AOR: 0.98, 95% CI 0.96 to 1.00). CONCLUSION: While the rates of fractures and other birth trauma declined among infants delivered by spontaneous vaginal delivery, the rate of birth trauma remained unchanged in instrumental vaginal delivery and caesarean delivery. Among mothers, the rates of severe perineal lacerations declined, except for women with forceps delivery.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.018
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.003
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.160
GPT teacher head0.450
Teacher spread0.291 · 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 source (direct Gemma or distilled Codex), 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

Citations25
Published2018
Admission routes2
Has abstractyes

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