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Socioeconomic, Demographic, and Surgeon Factors Associated With Staged Versus Concomitant Surgery for Pelvic Organ Prolapse and Stress Urinary Incontinence

2025· article· en· W4408931919 on OpenAlexaff
James W. Long, Sarah S. Boyd, Krista Reagan, Kristen A. Gerjevic, Olubiyi Aworunse, R. Sata, Cara L. Grimes, Shunaha Kim-Fine

Bibliographic record

VenueObstetrics and Gynecology · 2025
Typearticle
Languageen
FieldMedicine
TopicPelvic floor disorders treatments
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsUrinary incontinenceConcomitantSocioeconomic statusMedicineStress incontinenceUrinary systemSurgeryPopulationInternal medicine

Abstract

fetched live from OpenAlex

INTRODUCTION: Pelvic organ prolapse (POP) and stress urinary incontinence (SUI) frequently coexist, and de novo SUI following POP treatment is commonly taken into consideration during surgical planning. While concomitant surgery for POP and SUI may benefit patients, literature suggests a variety of treatment algorithms and clinical application of this data often differs amongst providers. Therefore, it is possible that shared decision making for these complex options may be impacted by language, educational, or other socioeconomic factors. OBJECTIVE: This study examines patient-, location-, and surgeon-level factors associated with staged versus concomitant stress urinary incontinence surgery among U.S. female Medicare patients undergoing surgery for POP. METHODS: The 100% Medicare Standard Analytical Files were used to identify female patients treated surgically for POP between 2016 and 2020. The study included patients who had concomitant midurethral sling (MUS) procedure and those who had a staged procedure defined as MUS within 24 months following POP procedure. Multivariable logistic regression was used to assess the association between patient, location, and surgeon-level factors and the likelihood of staged versus concomitant procedures. Patient-level factors included race, region, and urbanization. Location-level factors were county-level characteristics from the Agency for Healthcare Research and Quality Social Determinants of Health Database 2019, including per capita income, proportion of foreign-born, and proportion of limited English-speaking households. The specialty of the surgeon who performed the POP procedure (urology, obstetrics/gynecology (OBGYN), or other) was used to characterize surgeon-level factors. RESULTS: Among 40,842 patients who had POP procedures between 2016 and 2020, 96.7% (39,440) had a concomitant procedure and 3.4% (1,402) had a staged procedure. Caucasian patients (3.5% vs. 1.2% for Asian, p=0.036), patients living in urban areas (3.5% vs. 3.2% for rural areas, p=0.05) and in the Southern region of the US (3.9% vs. 2.5% Northeastern, p<0.001) were more likely to undergo staged procedures. Patients from counties with lower per-capita income (p=0.001), a lower proportion of foreign-born (p=0.003), and a lower proportion of limited English-speaking households (p=0.002) were more likely to receive staged procedures. Patients whose POP procedure was performed by OBGYNs were more likely to receive staged procedures than those performed by urologists. CONCLUSIONS: Our analysis identified both socioeconomic and surgeon factors associated with staged versus concomitant MUS procedures among patients undergoing surgical treatment for POP. It is not clear if these differences are attributable to inequities in care or other factors. Future studies should endeavor to understand how these socioeconomic and surgeon characteristics impact the decision to undergo a concomitant vs. staged MUS procedure.

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)0.000
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 score0.008
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.018
GPT teacher head0.252
Teacher spread0.233 · 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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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