Search Articles

View query in Help articles search

Search Results (1 to 10 of 17 Results)

Download search results: CSV END BibTex RIS


Assisted Reproductive Technology and Risk of Childhood Cancer Among the Offspring of Parents With Infertility: Systematic Review and Meta-Analysis

Assisted Reproductive Technology and Risk of Childhood Cancer Among the Offspring of Parents With Infertility: Systematic Review and Meta-Analysis

Few studies distinguish between children born to parents with infertility and those born to parents who conceived naturally [5,8]. It is essential to differentiate the effects of parental infertility from those of ART treatment, particularly given the challenge of small sample sizes in many studies. Furthermore, most studies are conducted within a single health care system or region, which limits their ability to fully assess cancer risk in offspring conceived through ART.

Gao Song, Cai-qiong Zhang, Zhong-ping Bai, Rong Li, Meng-qun Cheng

JMIR Cancer 2025;11:e65820

Harnessing Artificial Intelligence to Predict Ovarian Stimulation Outcomes in In Vitro Fertilization: Scoping Review

Harnessing Artificial Intelligence to Predict Ovarian Stimulation Outcomes in In Vitro Fertilization: Scoping Review

Infertility is a global health issue affecting millions of people of reproductive age [1]. A recent report from the World Health Organization (WHO) indicates that 1 in 6 (17.5%) adults worldwide experience infertility during their lifetime [2]. In the United States, among married women aged 15 to 49 years with no prior births, about 1 in 5 (19%) are unable to conceive after 1 year of trying [3]. One of the most common forms of assisted reproductive technologies is in vitro fertilization (IVF).

Rawan AlSaad, Alaa Abd-alrazaq, Fadi Choucair, Arfan Ahmed, Sarah Aziz, Javaid Sheikh

J Med Internet Res 2024;26:e53396

Testing an Evidence-Based Self-Help Program for Infertility-Related Distress: Protocol for a Randomized Controlled Trial

Testing an Evidence-Based Self-Help Program for Infertility-Related Distress: Protocol for a Randomized Controlled Trial

Our team then used semistructured interviews with women with infertility and mental health professionals specializing in infertility to identify the unique aspects of infertility-related distress [17]. Table 1 depicts the themes and subthemes identified.

Jennifer L Gordon, Megan M L Poulter, Ashley A Balsom, Tavis S Campbell

JMIR Res Protoc 2024;13:e52662

A Machine Learning Approach for the Prediction of Testicular Sperm Extraction in Nonobstructive Azoospermia: Algorithm Development and Validation Study

A Machine Learning Approach for the Prediction of Testicular Sperm Extraction in Nonobstructive Azoospermia: Algorithm Development and Validation Study

Thus, TESE must be proposed after a couple’s complete infertility checkup and information session as well as following a multidisciplinary discussion. Finally, spermatozoa can be retrieved from testicular tissue in only about 50% of cases [5,6]. Some teams have aimed to identify the most predictive factors of a positive TESE, first using univariate models, followed by multivariate models and, finally, artificial intelligence, including machine learning (ML) models [7].

Guillaume Bachelot, Ferdinand Dhombres, Nathalie Sermondade, Rahaf Haj Hamid, Isabelle Berthaut, Valentine Frydman, Marie Prades, Kamila Kolanska, Lise Selleret, Emmanuelle Mathieu-D’Argent, Diane Rivet-Danon, Rachel Levy, Antonin Lamazière, Charlotte Dupont

J Med Internet Res 2023;25:e44047

Fertility Preservation Techniques in Neuro-Oncology Patients: Protocol for a Systematic Review

Fertility Preservation Techniques in Neuro-Oncology Patients: Protocol for a Systematic Review

Infertility is one of the most common long-term issues experienced by young, female cancer survivors [2]. With advances in chemoradiotherapy and surgery meaning that survival from these cancers has considerably improved, there is an increased awareness of the impact that this has on cancer survivors’ quality of life [1]. CNS cancers can impact patients’ fertility in a variety of ways. Tumor infiltration, radiotherapy, and cranial surgery can all damage the hypothalamic-pituitary axis.

Maia Osborne-Grinter, Offorbuike Chiamaka Bianca, Jasleen Sanghera, Chandrasekaran Kaliaperumal

JMIR Res Protoc 2023;12:e44825

Sexual Health Outcomes of Adolescent and Young Adult Colorectal Cancer Survivors and Their Partners: Protocol of a Dyadic Mixed Methods Study

Sexual Health Outcomes of Adolescent and Young Adult Colorectal Cancer Survivors and Their Partners: Protocol of a Dyadic Mixed Methods Study

Perceived infertility-related distress in cancer survivorship will be measured by administering the Relationship Concern and Need for Parenthood subscales (10 items each) from the Fertility Problem Inventory [97]. Each subscale and the instrument’s total score have demonstrated appropriate internal consistency and convergent and discriminant validity, with scores on the selected subscales being associated with marital adjustment.

Chiara Acquati, Daniela Wittmann, Michael Roth, Allison Rosen, Lynley Christian Carr, Zachary Gresham, Elena Ionescu

JMIR Res Protoc 2023;12:e41831

Web-based Guidance for Assisted Reproductive Technology With an Online App (myFertiCare): Quantitative Evaluation With the HOT-fit Framework

Web-based Guidance for Assisted Reproductive Technology With an Online App (myFertiCare): Quantitative Evaluation With the HOT-fit Framework

Most patients state that the internet improves their knowledge about infertility [5]. In practice, at least half of all subfertile couples use the internet for fertility-related purposes [5-8]. An online survey even characterized the internet as the most heavily relied upon source of information about infertility [9]. However, the quality of information provided on the internet is variable; it is often incomplete, misleading, or inaccurate [10,11].

Ellen Marie Sparidaens, Jade G M Logger, Willianne L D M Nelen, Didi D M Braat, Kathrin Fleischer, Rosella P M Hermens

J Med Internet Res 2023;25:e38535

Evaluation of a Mobile Health App Offering Fertility Information to Male Patients With Cancer: Usability Study

Evaluation of a Mobile Health App Offering Fertility Information to Male Patients With Cancer: Usability Study

Factors that often prevent fertility preservation conversations include the potential distress from discussing infertility risk, limited access to educational materials, and clinicians’ lack of time and knowledge [20]. Additionally, men may not initiate these conversations since they are generally less likely than women to ask questions during medical appointments [21]. There is a need for fertility preservation resources to be better integrated into cancer care [4,15,18,22].

Eden Noah Gelgoot, Katya Kruglova, Peter Chan, Kirk Lo, Zeev Rosberger, Philippa Chown, Jordana Kazdan, Siobhan Bernadette Laura O’Connell, Phyllis Zelkowitz

JMIR Cancer 2022;8(2):e33594

An mHealth App to Support Fertility Patients Navigating the World of Infertility (Infotility): Development and Usability Study

An mHealth App to Support Fertility Patients Navigating the World of Infertility (Infotility): Development and Usability Study

Infertility is defined as the inability to achieve pregnancy after 12 months of unprotected sexual intercourse or the inability to reproduce either as an individual or as a couple [1]. Estimates suggest that 11%-16% of Canadians experience infertility in their lifetimes [2]. Infertility is a challenging experience, with infertile individuals demonstrating higher levels of stress, anxiety, depressive symptomatology, and stigma compared with their fertile counterparts [3-5].

Katya Kruglova, Siobhan Bernadette Laura O'Connell, Shrinkhala Dawadi, Eden Noah Gelgoot, Skye A Miner, Stephanie Robins, Joy Schinazi, Phyllis Zelkowitz

JMIR Form Res 2021;5(10):e28136