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Record W2275089345 · doi:10.1016/j.ajog.2016.02.027

Temporal trends in obstetric trauma and inpatient surgery for pelvic organ prolapse: an age-period-cohort analysis

2016· article· en· W2275089345 on OpenAlexafffund
Sarka Lisonkova, Jessica A. Lavery, Cande V. Ananth, Innie Chen, Giulia M. Muraca, Geoffrey W. Cundiff, K.S. Joseph

Bibliographic record

VenueAmerican Journal of Obstetrics and Gynecology · 2016
Typearticle
Languageen
FieldMedicine
TopicPelvic floor disorders treatments
Canadian institutionsUniversity of OttawaBC Children's HospitalChildren's & Women's Health Centre of British ColumbiaUniversity of British Columbia
FundersCanadian Institutes of Health ResearchChild and Family Research Institute
KeywordsMedicineChildbirthVaginal deliveryObstetricsCohortRetrospective cohort studyPopulationPregnancySurgery

Abstract

fetched live from OpenAlex

BACKGROUND: The rates of cesarean delivery have increased over time in industrialized countries, while the rates of instrumental vaginal delivery have declined. Instrumental vaginal delivery and obstetric trauma are risk factors for pelvic floor disorders. OBJECTIVE: We carried out a population-based study to quantify the association between temporal changes in obstetric trauma during childbirth and temporal changes in surgery for pelvic organ prolapse. STUDY DESIGN: We designed a retrospective analysis to examine age-specific trends in vaginal and cesarean delivery, obstetric trauma, and surgery for pelvic organ prolapse among all women (pregnant and nonpregnant) in Washington State, from 1987 through 2009. Cases of obstetric trauma (including severe perineal tears and high vaginal lacerations) and inpatient surgery for pelvic organ prolapse were identified among all hospitalizations. Temporal trends and age-period-cohort regression analyses were used to quantify the time period, age, and birth cohort effects among women born from 1920 through 1980. RESULTS: From 1987 through 2009, cesarean delivery rates among women aged 15-44 years increased from 12.7-18.1 per 1000 women, vaginal delivery rates remained stable, and instrumental vaginal delivery rates declined from 6.3-3.9 per 1000 women. Obstetric trauma decreased from 6.7 in 1987 to 2.5 per 1000 women aged 15-44 years in 2009. Surgery for pelvic organ prolapse decreased from 2.1 in 1987 to 1.4 per 1000 women aged 20-84 years in 2009. Obstetric trauma rates in 1987 through 1999 among women 15-44 years old were strongly correlated with the rates of surgery for pelvic organ prolapse among women 25-54 years of age 10 years later in 1997 through 2009 (correlation coefficient 0.87, P < .001). Similarly, rates of midpelvic forceps delivery in 1987 through 1999 were correlated with the rates of surgery for pelvic organ prolapse 10 years later (correlation coefficient 0.72, P < .01). Regression analyses showed a strong effect of age on surgery for prolapse, temporal decline in surgery, and an effect of birth cohort, as younger cohorts (women born in ≥1965 vs 1940) had lower rates of surgery for pelvic organ prolapse. CONCLUSION: Temporal decline in instrumental vaginal delivery and obstetric trauma may have contributed to the reduction in surgery for pelvic organ prolapse.

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)0.003
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 score0.055
Threshold uncertainty score0.109

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
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 head0.017
GPT teacher head0.275
Teacher spread0.258 · 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

Citations20
Published2016
Admission routes2
Has abstractyes

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