Faubion, Stephanie S.

Introduction To assess and compare the accuracy, readability, and overall performance of large language models (LLMs) in answering questions about functional hypothalamic amenorrhea (FHA) for patients and healthcare professionals. Methods A total of 11 patient-level and 15 clinician-level FHA-related questions were entered separately into four LLMs: ChatGPT 3.5 (free version), ChatGPT 4.0 (updated, paid subscription), Gemini, and OpenEvidence. OpenEvidence was used only for clinician-based questions. Responses were evaluated by three expert reviewers blinded to the LLM used who rated them as accurate and complete, accurate but incomplete, or inaccurate. A fourth reviewer resolved discordant scores. Readability for patient-level questions was assessed using the Flesch Reading Ease Score (FRES) and word count. Lower FRES scores indicate more difficult reading. Accuracy and completeness were compared using odds ratios (95% CI) with ChatGPT 3.5 as the reference model, and differences in readability were analyzed using Friedman’s test. Results LLM performance varied across question types. For patient-level questions, ChatGPT 4.0 achieved the highest accuracy (9 of 11; 82%), followed by ChatGPT 3.5 and Gemini (each 8 of 11; 73%), with no statistically significant differences. Among clinician-level questions, OpenEvidence demonstrated perfect accuracy (15 of 15; 100%), compared with 93% for and 80% for ChatGPT 4.0 and Gemini. Completeness followed similar patterns, with OpenEvidence providing the most complete clinician responses (93%) and ChatGPT 4.0 the most complete patient-level responses (89%). Readability differed significantly among models ( p = 0.012), with Gemini producing the most readable patient-level content (median FRES 43.5 [IQR 36.8–53.4]) compared with ChatGPT 3.5 (30.6 [16.8–48.4]) and ChatGPT 4.0 (28.8 [22.1–37.6]). Word counts did not differ significantly ( p = 0.39). Discussion LLMs demonstrated good overall performance in answering FHA-related questions but often provided incorrect or incomplete information. Fine tuning field-specific data, engineered prompts, and obtaining human-in-the-loop feedback may help improve the accuracy of these models.

This cohort study evaluates 20-year trends to quantify changes in menopause-related online searches compared with other health domains.

Importance and Objective: Aging is a complex biological process uniquely shaped in women by hormonal transitions, particularly across the menopause transition. While chronological age alone fails to capture individual health variability, emerging molecular biomarkers offer tools to quantify biological aging and understand mechanisms underlying age-related decline. This review synthesizes the current landscape of aging biomarkers, including senescence-associated secretory phenotype factors, epigenetic clocks, clonal hematopoiesis of indeterminate potential, and telomere length, with a particular emphasis on their relevance to menopause. Methods: This narrative review synthesizes human studies, translational research, and foundational basic science identified through PubMed searches through June 2025, examining aging biomarkers in general populations, among women in the menopause transition, and in relation to vasomotor symptoms and hormone therapy. Discussion and Conclusion: Evidence demonstrates that changes in biological aging biomarkers are observed across multiple molecular systems during midlife, including the menopause transition, reflecting broader age-related biological remodeling. Postmenopausal status, particularly following early or surgical menopause, has been associated with biological aging phenotypes, including elevated senescence-associated secretory phenotype factors, epigenetic age acceleration, clonal hematopoiesis, and shorter leukocyte telomere length, likely reflecting a combination of chronological aging, hormonal changes, and individual biological vulnerability. While severe vasomotor symptoms have been linked to higher epigenetic age, hormone therapy may favorably influence certain senescence markers and biological age discrepancy. Despite these advances, significant limitations constrain clinical translation, as current biomarkers capture overlapping biological processes and lack validated thresholds to define biological aging, especially in women. Future research requires large, longitudinal studies across diverse populations to establish clinically meaningful thresholds and sex-specific calibration. Advancing precision health strategies for women requires a better understanding of how reproductive and hormonal factors modify biomarker trajectories to improve risk prediction and to facilitate the development of targeted interventions for age-related diseases.

Objectives: Sexual minority women (SMW) have worse mental and physical health outcomes compared with heterosexual women. Limited research has explored menopause in SMW. This study compared menopause symptoms in cisgender SMW and heterosexual women. Methods: This cross-sectional analysis examined questionnaires from women 40-65 years, seen at women’s health clinics in Arizona, Florida, and Minnesota between December 2016 and February 2023. Menopause symptoms were evaluated using the Menopause Rating Scale (MRS). An MRS score ≥ 12 indicates moderate or greater symptoms. Multivariable logistic regression was used to compare scores between cisgender SMW and heterosexual women, adjusting for factors that may impact menopause symptoms. Results: Data from 2,273 women were included, with 69 SMW. The mean age was 53.2 (SD: 6.1), body mass index 25.7 kg/m 2 , and a majority were White (91.9%). The median MRS score among all participants was 15 (interquartile range=10, 20); 67.3% reported MRS scores ≥ 12. The likelihood of being on hormone therapy or selective serotonin reuptake inhibitors/serotonin-norepinephrine reuptake inhibitors was comparable between groups. In both univariate (OR: 0.85, 95% CI: 0.52-1.40) and multivariable (OR: 0.83, 95% CI: 0.47-1.48) analyses, no significant associations between sexual orientation and MRS ≥ 12 were found. Conclusions: Menopause symptoms and likelihood of treatment were similar for cisgender SMW and heterosexual women presenting to tertiary care centers. Limited diversity in the cohort and the small number of SMW reduce the generalizability of the results. The lack of adverse social determinants of health may have contributed to the findings, but additional research in larger cohorts is needed.