Stigma and mental health in endometriosis

Kocas, H. Deniz; Rubin, Lisa R.; Lobel, Marci

doi:10.1016/j.eurox.2023.100228

Cited by 9 publications

(1 citation statement)

References 53 publications

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“…Chronic pelvic pain can significantly disrupt daily activities, necessitating pain management strategies such as medications and lifestyle adjustments. Individuals may also experience stress, anxiety, depression, and frustration due to the unpredictability of symptoms and challenges in obtaining an accurate diagnosis and effective treatment [ 4 ].…”

Section: Introductionmentioning

confidence: 99%

Evaluating the risk of endometriosis based on patients’ self-assessment questionnaires

Zieliński,

Drabczyk,

Kunicki

et al. 2023

Reprod Biol Endocrinol

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Background Endometriosis is a condition that significantly affects the quality of life of about 10 % of reproductive-aged women. It is characterized by the presence of tissue similar to the uterine lining (endometrium) outside the uterus, which can lead lead scarring, adhesions, pain, and fertility issues. While numerous factors associated with endometriosis are documented, a wide range of symptoms may still be undiscovered. Methods In this study, we employed machine learning algorithms to predict endometriosis based on the patient symptoms extracted from 13,933 questionnaires. We compared the results of feature selection obtained from various algorithms (i.e., Boruta algorithm, Recursive Feature Selection) with experts’ decisions. As a benchmark model architecture, we utilized a LightGBM algorithm, along with Multivariate Imputation by Chained Equations (MICE) and k-nearest neighbors (KNN), for missing data imputation. Our primary objective was to assess the model’s performance and feature importance compared to existing studies. Results We identified the top 20 predictors of endometriosis, uncovering previously overlooked features such as Cesarean section, ovarian cysts, and hernia. Notably, the model’s performance metrics were maximized when utilizing a combination of multiple feature selection methods. Specifically, the final model achieved an area under the receiver operator characteristic curve (AUC) of 0.85 on the training dataset and an AUC of 0.82 on the testing dataset. Conclusions The application of machine learning in diagnosing endometriosis has the potential to significantly impact clinical practice, streamlining the diagnostic process and enhancing efficiency. Our questionnaire-based prediction approach empowers individuals with endometriosis to proactively identify potential symptoms, facilitating informed discussions with healthcare professionals about diagnosis and treatment options.

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Section: Introductionmentioning

confidence: 99%

Evaluating the risk of endometriosis based on patients’ self-assessment questionnaires

Zieliński,

Drabczyk,

Kunicki

et al. 2023

Reprod Biol Endocrinol

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A Podcast on Patient and Physician Perspectives on the Management of Endometriosis and Relugolix Combination Therapy

Mangum,

Agarwal

2024

Adv Ther

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Endometriosis is a common disease, affecting approximately 5–10% of reproductively aged women. Symptoms, such as painful periods, negatively impact an individual’s quality of life; however, these symptoms are often normalized, leading to delays in diagnosis and treatment, and worsening of the disease. In this podcast, a reproductive endocrinologist (Dr Sanjay K Agarwal) and patient advocate (Tara Mangum) provide their perspectives on the diagnosis and management of endometriosis. They also discuss Relugolix combination therapy as a treatment option for patients with endometriosis. Podcast available for this article. Supplementary Information The online version contains supplementary material available at 10.1007/s12325-024-02970-2.

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Endometriosis Is More Than a Painful Period. Period

Fleming,

Hardy

2025

The Journal for Nurse Practitioners

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Stigma and mental health in endometriosis

Cited by 9 publications

References 53 publications

Evaluating the risk of endometriosis based on patients’ self-assessment questionnaires

Evaluating the risk of endometriosis based on patients’ self-assessment questionnaires

A Podcast on Patient and Physician Perspectives on the Management of Endometriosis and Relugolix Combination Therapy

Endometriosis Is More Than a Painful Period. Period

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