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Is endometriosis a progressive disease? Examining age-related trends in disease severity and surgical complexity

2025· article· en· W4414366382 on OpenAlexaff
Yael Yagur, Rebecca Schneyer, Kacey M. Hamilton, Ogechukwu Ezike, Katharine M. Ciesielski, Margaret Barker, Camelita Thrift, Kasey Fitzsimmons, Gabriel Levin, Raanan Meyer, Kelly N. Wright, Matthew T. Siedhoff

Bibliographic record

VenueFertility and Sterility · 2025
Typearticle
Languageen
FieldMedicine
TopicEndometriosis Research and Treatment
Canadian institutionsMcGill UniversityJewish General Hospital
Fundersnot available
KeywordsEndometriosisOddsDiseaseOdds ratioStage (stratigraphy)Gynecologic surgical procedures

Abstract

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OBJECTIVE: To study the relationship between age and the phenotypic expression and surgical complexity of endometriosis using the American Association of Gynecologic Laparoscopists (AAGL) classification. DESIGN: Retrospective cohort study. SUBJECTS: Patients aged 18-51 years with pathology-confirmed stage III-IV endometriosis. EXPOSURE: We analyzed patients who underwent laparoscopic or robot-assisted endometriosis surgery between 2013 and 2023 at a quaternary care institution in the United States. Patients were stratified into 4 age groups (≤25, 25-35, 35-45, and >45 years). MAIN OUTCOME MEASURES: The primary outcome was age-related differences in disease severity (AAGL classification), surgical complexity (AAGL levels A-D), the presence of endometrioma, and bowel endometriosis. Secondary outcomes included association with clinical presentation, imaging findings, and surgical complications. RESULTS: A total of 1,293 patients met inclusion criteria. The AAGL stage III-IV prevalence increased with age, peaking at 50.5% in the 35-45-year age group and then stabilizing at 47.0% in the >45-year age group. American Association of Gynecologic Laparoscopists surgical complexity continued to increase steadily with level C increasing from 21.1% (≤25 years) to 58.3% (>45 years). In multivariable regression, compared with patients aged <25 years, those aged 25-35, 35-45, and >45 years had significantly higher odds of AAGL stage III-IV disease (adjusted odds ratios [aORs], 2.47 [95% confidence interval {CI}, 1.35-4.49], 2.54 [95% CI, 1.40-4.61], and 2.84 [95% CI, 1.42-5.66], respectively). Surgical complexity (AAGL levels C-D) significantly increased beyond the age of 35 years, with aORs of 2.13 (95% CI, 1.22-3.72) for patients aged 35-45 years and 4.46 (95% CI, 2.32-8.59) for patients aged >45 years. The odds of having endometriomas was higher for all age groups than for the age of <25 years (aOR, 3.05 [95% CI, 1.73-5.39] for the ages of 25-35 years; aOR, 3.24 [95% CI, 1.84-5.70] for the ages of 35-45 years; and aOR, 2.58 [95% CI, 1.34-4.96] for the ages of >45 years). No significant association between age and bowel endometriosis was found. CONCLUSION: Association of Gynecologic Laparoscopists disease stage peaks around the ages of 25-35 years and subsequently plateaus, whereas surgical complexity continues to increase beyond this age, reaching the highest odds in patients aged >45 years, likely reflecting cumulative fibrosis, adhesions, and anatomical remodeling. These findings highlight the importance of individualized, age-specific treatment approaches to reduce surgical complexity later in life. Future research should further refine these age-based management strategies.

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)0.001
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 score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.073
GPT teacher head0.364
Teacher spread0.292 · 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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Citations2
Published2025
Admission routes1
Has abstractyes

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