Arthroscopy : the journal of arthroscopic & related surgery : official publication of the Arthroscopy Association of North America and the International Arthroscopy Association
September 16, 2026 · via Europe PMC
Postmenopausal Status Is Associated With Increased Risk of Medial Meniscus Posterior Root Tears and Subsequent Arthroplasty.
Panos JA, Teubner L, Long K, Tagliero AJ, Hevesi M, Saris DBF, Nagelli CV, Krych AJ.
AI summary — for doctors, generated from the abstract only
Postmenopausal women had higher risk of medial meniscus posterior root tears and lower arthroplasty-free survival after such tears than matched men.
What was studied
A retrospective single-institution comparative study of 1,564 patients with meniscal tears, matching postmenopausal women one-to-one with men by age and BMI.
Key findings
- 15.6% had medial meniscus posterior root tears
- Age and female sex were associated with MMPRT
- Among women, age at menopause, surgical menopause, HRT, and BMD were associated with MMPRT
- 10-year arthroplasty-free survival after MMPRT was 53.5% in women vs 78.4% in men
Clinical relevance
Highlights menopause-related factors as potential considerations in meniscal root tear risk, though associations from retrospective data are not causal.
Who should care
Limitations
Retrospective single-institution design; direction of HRT association not specified in the abstract.
Postmenopausal women with meniscal root tears may face a faster path to knee replacement.
This is an AI-generated summary of the published abstract, not a clinical recommendation. It may not reflect the full text or subsequent updates — verify against the original source before acting on it.
Abstract
Purpose
To identify risk factors for medial meniscus posterior root tears (MMPRT) and arthroplasty-free survival in postmenopausal women, while secondary objectives included analyzing menopause-specific factors associated with MMPRT and defining risk factors for conversion to arthroplasty in patients with a confirmed MMPRT.
Methods
All patients at our institution with a diagnosed meniscal tear through December 2024 were identified. From this cohort, women with a menopausal diagnosis preceding their meniscal tear were matched one-to-one with men by age and body mass index. Imaging studies were reviewed to identify MMPRTs. Subsequent arthroplasty, Charlson Comorbidity Index, menopausal type (surgical or physiologic), hormone replacement therapy, bisphosphonate usage, and bone mineral density were recorded. Logistic and Cox regression were used to define risk factors for MMPRT and arthroplasty; survivorship was determined using Kaplan-Meier analyses.
Results
The final cohort consisted of 1564 patients (n = 782 women) with a median age of 63 years, of which 244 patients (15.6%) had MMPRT. Age and female sex were associated with MMPRT. The presence of an MMPRT, female sex, body mass index, and Charlson Comorbidity Index were associated with arthroplasty. Among postmenopausal women, age at menopause, surgical menopause, hormone replacement therapy, and bone mineral density were associated with MMPRT. For patients with MMPRT, female sex was associated with arthroplasty. Ten-year survivorship-free from arthroplasty in patients with MMPRT was 53.5% for women and 78.4% for men (P = .02).
Conclusions
Postmenopausal status, age, and hormone replacement therapy usage are risk factors for MMPRT. Compared with men, postmenopausal women with MMPRT exhibit reduced arthroplasty-free survival, underscoring the need for targeted interventions.
Level of evidence
Level III, retrospective comparative study.
DOI
10.1002/arj.70561
PMID
42750098
Research metadata (titles, abstracts, authors, publication dates) is sourced from Europe PMC, which aggregates content from PubMed/MEDLINE, PubMed Central, and other providers under the U.S. National Library of Medicine (NLM/NCBI). NLM does not claim copyright on abstracts; the original journal publishers or authors may hold rights to the full articles. AI-generated summaries are derived only from the abstract, never the full text, and are always labeled as AI-generated.
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