ArticleJournal of assisted reproduction and genetics2021
Installing oncofertility programs for common cancers in optimum resource settings (Repro-Can-OPEN Study Part II): a committee opinion.
Article in Journal of assisted reproduction and genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed.
- Article
- Fertility preservation by ovarian tissue transportation and centralized cryobanking for a 20-year-old woman with Hodgkin lymphoma.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2025Article
- Physicians' Controversies Towards Fertility Preservation in Young Patients with Gynecological Cancer: An MITO Survey.Current oncology (Toronto, Ont.) · 2025Article
- Ethical, legal, social, and policy issues of ovarian tissue cryopreservation in prepubertal girls: a critical interpretive review.Journal of assisted reproduction and genetics · 2024Review
- Pediatric oncofertility care in limited versus optimum resource settings: results from 39 surveyed centers in Repro-Can-OPEN Study Part I & II.Journal of assisted reproduction and genetics · 2023Article
- Installing oncofertility programs for breast cancer in limited versus optimum resource settings: Empirical data from 39 surveyed centers in Repro-Can-OPEN Study Part I & II.Journal of assisted reproduction and genetics · 2022Article
- Oncofertility in pediatric patients: current perspectives.Contemporary oncology (Poznan, Poland) · 2022Review
- International Society of Paediatric Surgical Oncology (IPSO) Surgical Practice Guidelines.Ecancermedicalscience · 2022Article
- A call to action: unified clinical practice guidelines for oncofertility care.Journal of assisted reproduction and genetics · 2021Article
- Young Women with Breast Cancer in Resource-Limited Settings: What We Know and What We Need to Do Better.Breast cancer (Dove Medical Press) · 2021Review
Corrections and comments
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Authors and funding
1 author.
Funding
Abstract
purposeThe main objective of Repro-Can-OPEN Study Part 2 is to learn more about oncofertility practices in optimum resource settings to provide a roadmap to establish oncofertility best practice models.
methodsAs an extrapolation for oncofertility best practice models in optimum resource settings, we surveyed 25 leading and well-resourced oncofertility centers and institutions from the USA, Europe, Australia, and Japan. The survey included questions on the availability and degree of utilization of fertility preservation options in case of childhood cancer, breast cancer, and blood cancer.
resultsAll surveyed centers responded to all questions. Responses and their calculated oncofertility scores showed three major characteristics of oncofertility practice in optimum resource settings: (1) strong utilization of sperm freezing, egg freezing, embryo freezing, ovarian tissue freezing, gonadal shielding, and fractionation of chemo- and radiotherapy; (2) promising utilization of GnRH analogs, oophoropexy, testicular tissue freezing, and oocyte in vitro maturation (IVM); and (3) rare utilization of neoadjuvant cytoprotective pharmacotherapy, artificial ovary, in vitro spermatogenesis, and stem cell reproductive technology as they are still in preclinical or early clinical research settings. Proper technical and ethical concerns should be considered when offering advanced and experimental oncofertility options to patients.
conclusionsOur Repro-Can-OPEN Study Part 2 proposed installing specific oncofertility programs for common cancers in optimum resource settings as an extrapolation for best practice models. This will provide efficient oncofertility edification and modeling to oncofertility teams and related healthcare providers around the globe and help them offer the best care possible to their patients.
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