Objective:To retrieve, evaluate, and summarize the evidence on fertility management for cervical cancer patients of childbearing age, providing a basis for clinical medical and nursing staff to carry out fertility management for cervical cancer patients.Methods:The evidence on fertility in cervical cancer patients included clinical decision-making, guidelines, summary of evidence, expert consensus, and systematic review, which were systematically searched on domestic and international evidence-based medicine databases, clinical decision-making systems, guideline websites, professional association websites, medical literature service websites, and databases such as UpToDate, Cochrane Library, British Medical Journal (BMJ) Best Practice, China Guidelines Network, China National Knowledge Infrastructure, WanFang Med Online, China Biology Medicine disc, and VIP. The search period was from database establishment to March 1, 2023. Two researchers who received evidence-based nursing knowledge training independently conducted literature screening and quality evaluation, and jointly discussed with clinical experts on the literature that met the requirements to complete evidence extraction and summary.Results:A total of 11 articles were included, including three clinical decision-making, four guidelines, three expert consensus, and one systematic review. A total of 30 pieces of best evidence were summarized from six aspects, including fertility assessment and safety, fertility preservation methods, fertility preservation surgery and anti-tumor treatment, fertility timing, pregnancy management and follow-up, and special treatment for pregnancy with cervical cancer.Conclusions:The evidence on fertility management for cervical cancer patients of childbearing age provides a basis for clinical medical and nursing staff to provide fertility guidance for cervical cancer patients. In clinical application, factors such as patient willingness and condition should be fully considered, and personalized treatment plans should be provided to maximize patient benefits.