CLC Number:
- R473.71
| [1] Bo K, Frawley HC, Haylen BT, et al.An International Urogynecological Association (IUGA)/International Continence Society (ICS) joint report on the terminology for the conservative and nonpharmacological management of female pelvic floor dysfunction[J]. Int Urogynecol J, 2017,28(2):191-213. DOI:10.1007/s00192-016-3123-4. [2] Moossdorff-Steinhauser H, Berghmans B, Spaanderman M, et al.Prevalence, incidence and bothersomeness of urinary incontinence between 6 weeks and 1 year post-partum: a systematic review and Meta-analysis[J]. Int Urogynecol J, 2021,32(7):1675-1693. DOI:10.1007/s00192-021-04877-w. [3] 左晓虎, 洪莉. 压力性尿失禁发病机制研究进展[J]. 现代妇产科进展, 2021,30(3):217-220. DOI:10.13283/j.cnki.xdfckjz.2021.03.015. [4] Giugale LE, Moalli PA, Canavan TP, et al.Prevalence and predictors of urinary incontinence at 1 year postpartum[J]. Female Pelvic Med Reconstr Surg, 2021, 27(2):e436-e441.DOI:10.1097/SPV.0000000000000955. [5] 王潇潇, 张蕾, 陆叶. 妊娠期及产后压力性尿失禁的影响因素研究进展[J]. 中华围产医学杂志, 2022,25(12):978-982.DOI:10.3760/cma.j.cn113903-20220521-00528. [6] MacArthur C, Wilson D, Herbison P, et al. Urinary incontinence persisting after childbirth: extent, delivery history, and effects in a 12-year longitudinal cohort study[J]. BJOG, 2016,123(6):1022-1029. DOI:10.1111/1471-0528.13395. [7] Monti M, Fischetti M, Santangelo G, et al.Urinary incontinence in women: state of the art and medical treatment[J]. Minerva Obstet Gynecol,2021,73(2):135-139. DOI:10.23736/S2724-606X.20.04635-3. [8] Chisholm LP, Sebesta EM, Gleicher S, et al.The burdens of incontinence: quantifying incontinence product usage and costs in women[J]. Neurourol Urodyn, 2022,41(7):1601-1611.DOI:10.1002/nau.25007. [9] 杨艳, 肖煜吟, 张婷, 等. 女性压力性尿失禁病人疾病认知及生命质量情况调查[J]. 全科护理, 2018,16(11):1281-1284. DOI:10.3969/j.issn.1674-4748.2018.11.001. [10] 李巧巧, 于霞, 罗映娟, 等. 女性压力性尿失禁疾病负担研究进展[J]. 中国计划生育和妇产科, 2022,14(9):10-12, 16. DOI:10.3969/j.issn.1674-4020.2022.09.03. [11] Moons KG, de Groot JA, Bouwmeester W, et al. Critical appraisal and data extraction for systematic reviews of prediction modelling studies: the CHARMS checklist[J]. PLoS Med,2014,11(10):e1001744.DOI:10.1371/journal.pmed.1001744. [12] Wolff RF, Moons K, Riley RD, et al.PROBAST: a tool to assess the risk of bias and applicability of prediction model studies[J]. Ann Intern Med, 2019,170(1):51-58. DOI:10.7326/M18-1376. [13] 向吉翠. 产后压力性尿失禁的影响因素及预测模型[J]. 医学理论与实践, 2020,33(24):4166-4168. DOI:10.19381/j.issn.1001-7585.2020.24.054. [14] 于津, 谢军. 产后压力性尿失禁危险因素的探讨及其预测模型的构建[J]. 同济大学学报(医学版), 2022,43(3):421-426. DOI:10.12289/j.issn.1008-0392.21432. [15] Jelovsek JE, Piccorelli A, Barber MD, et al.Prediction models for postpartum urinary and fecal incontinence in primiparous women[J]. Female Pelvic Med Reconstr Surg, 2013,19(2):110-118.DOI:10.1097/SPV.0b013e31828508f0. [16] Xu C, Guo Y, Chi X, et al.Establishment and validation of a simple nomogram for predicting early postpartum stress urinary incontinence among women with vaginal delivery: a retrospective study[J]. BMC Womens Health, 2023,23(1):8. DOI:10.1186/s12905-023-02160-2. [17] Chen L, Luo D, Chen X, et al.Development of predictive risk models of postpartum stress urinary incontinence for primiparous and multiparous women[J]. Urol Int, 2020,104(9-10):824-832. DOI:10.1159/000508416. [18] Cheng H, Gong F, Shen Y, et al.A nomogram model predicting the risk of postpartum stress urinary incontinence in primiparas: a multicenter study[J]. Taiwan J Obstet Gynecol, 2022,61(4):580-584.DOI:10.1016/j.tjog.2022.04.004. [19] Wang X, Jin Y, Xu X, et al.Development and validation of a predictive model for urinary incontinence postpartum: a prospective longitudinal study[J]. Int Urogynecol J, 2022,33(6):1609-1615. DOI:10.1007/s00192-022-05105-9. [20] 楼叶琳, 胡洋, 周一波, 等. 产后压力性尿失禁风险列线图的建立与验证[J].中华泌尿外科杂志, 2021,42(8):627-632.DOI:10.3760/cma.j.cn112330-20200422-00320. [21] Liu W,Qian L.Establishment and validation of a risk prediction model for postpartum stress urinary incontinence based on pelvic floor ultrasound and clinical data[J]. Int Urogynecol J,2022,33(12):3491-3497.DOI:10.1007/s00192-022-05395-z. [22] Baracho SM, Barbosa Da Silva L, Baracho E, et al. Pelvic floor muscle strength predicts stress urinary incontinence in primiparous women after vaginal delivery[J].Int Urogynecol J, 2012,23(7):899-906. DOI:10.1007/s00192-012-1681-7. [23] Leroy LS, Lúcio A, Lopes MH.Risk factors for postpartum urinary incontinence[J]. Rev Esc Enferm USP, 2016,50(2):200-207. DOI:10.1590/S0080-623420160000200004. [24] 黄洁贞, 叶明, 黄柳, 等. 盆底肌力强度对产后压力性尿失禁发生的预测作用研究[J]. 现代生物医学进展, 2015,15(24):4754-4756. DOI:10.13241/j.cnki.pmb.2015.24.041. [25] 焦子珊, 张新月, 沙凯辉. 决策树C5.0与Logistic回归对产后压力性尿失禁预测性能的比较[J]. 护理学报, 2022,29(3):12-18. DOI:10.16460/j.issn1008-9969.2022.03.012. [26] 陈彤, 胡洁, 师文. 产后压力性尿失禁发生风险的列线图预测模型建立与验证[J]. 中国计划生育学杂志, 2023,31(4):848-852. DOI:10.3969/j.issn.1004-8189.2023.04.020. [27] 陈玉. 经产妇妊娠足月期、产后早期尿失禁的发生现状及影响因素分析[D]. 湛江:广东医科大学, 2021. [28] 张伟娜, 林淑娇, 廖建梅, 等. 三维盆底超声联合剪切波弹性成像构建产后压力性尿失禁风险预测模型[J].交通医学, 2023,37(1):9-13.DOI:10.19767/j.cnki.32-1412.2023.01.003. [29] 沈丹萍. 基于盆底超声参数的Nomogram模型对产后压力性尿失禁的预测价值研究[D]. 苏州:苏州大学, 2020. [30] Ogundimu EO, Altman DG, Collins GS.Adequate sample size for developing prediction models is not simply related to events per variable[J]. J Clin Epidemiol, 2016(76):175-182. DOI:10.1016/j.jclinepi.2016.02.031. [31] 张蕊, 郑黎强, 潘国伟. 疾病发病风险预测模型的应用与建立[J]. 中国卫生统计, 2015,32(4):724-726. [32] Deo RC.Machine learning in medicine[J]. Circulation, 2015,132(20):1920-1930. DOI:10.1161/CIRCULATIONAHA.115.001593. [33] 刘雨安, 杨小文, 李乐之. 机器学习在疾病预测的应用研究进展[J]. 护理学报, 2021,28(7):30-34.DOI:10.16460/j.issn1008-9969.2021.07.030. [34] Steyerberg EW, Harrell FJ.Prediction models need appropriate internal, internal-external, and external validation[J]. J Clin Epidemiol,2016(69):245-247.DOI:10.1016/j.jclinepi.2015.04.005. [35] Collins GS, Reitsma JB, Altman DG, et al.Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement[J]. BMJ, 2015,350(jan07 4):g7594. DOI:10.1136/bmj.g7594. |
| [1] | . [J]. Journal of Nursing, 2024, 31(3): 6-11. |
| [2] | LI Wei, WANG Xiang, PEI Li, GAO Qing-qing, HUANG Hai-chao. Symptom clusters among women during late pregnancy: a scoping review [J]. Journal of Nursing, 2024, 31(3): 51-56. |
| [3] | ZHANG Guo-chun, LI Hai-yun, CHU Liang-liang, CHENG Xue, WANG Jun-zhi. Development of Knowledge, Belief and Practice Scale for perinatal palliative care of obstetric nurses and its reliability and validity [J]. Journal of Nursing, 2024, 31(2): 6-11. |
| [4] | . [J]. Journal of Nursing, 2023, 30(24): 38-42. |
| [5] | SUN Fei, LIU Min, HU Shan-shan, WU Lei, LIU Jun, LI Ping. Construction of prediction scoring model for lactation risk of mothers experiencing premature birth: a Meta-analysis [J]. Journal of Nursing, 2023, 30(23): 1-5. |
| [6] | HUANG Li-hua, ZHAI Jin-guo, LIU Yi-jun, ZHANG Li, KONG Gan-xia, LIU Xuan-tian. Best evidence summary for management of carpal tunnel syndrome in pregnant women [J]. Journal of Nursing, 2023, 30(22): 50-55. |
| [7] | WANG Hui-ning, SUN Xiao-ling, WU Ling, XIA Dong-yun, TANG Qian, SONG Zu-mei. Best evidence summary for management of malignant wound exudate [J]. Journal of Nursing, 2023, 30(21): 54-59. |
| [8] | . [J]. Journal of Nursing, 2023, 30(20): 6-9. |
| [9] | LUN bing, YANG Xiao-yu, SUN Dan-dan, REN Li-jie, MA Shuo. Effectiveness of in-situ simulation-based training mode for nurse specialists of midwifery [J]. Journal of Nursing, 2023, 30(19): 24-27. |
| [10] | . [J]. Journal of Nursing, 2023, 30(14): 52-58. |
| [11] | ZHUANG Yun-ting, WANG Zhi-jian, LI Juan-hua, XIAO Yan-xuan, LIU Yi-jun. Best evidence summary for management of restless leg syndrome during pregnancy [J]. Journal of Nursing, 2023, 30(13): 47-52. |
| [12] | ZHANG Xiao-lan, SU Xiao-hua, ZHANG Jing. Construction of risk prediction model for cognitive dysfunction in pregnant women with cesarean section [J]. Journal of Nursing, 2023, 30(12): 73-78. |
| [13] | LIU Ai-hua, LIU Zhuo, LI Min, Li Hong-yan, Li Jun, XIAO Lan, CHEN Cheng, LI Jing. Efficacy of comprehensive unit-based safety program in medication safety of patients with recurrent ovarian cancer undergoing chemotherapy [J]. Journal of Nursing, 2023, 30(6): 22-25. |
| [14] | . [J]. Journal of Nursing, 2023, 30(6): 31-35. |
| [15] | LI Meng-fan, ZHANG Xia, LI Xiao-yuan. Mediating effect of depression between body dissatisfaction and maternal-fetal attachment in late pregnancy [J]. Journal of Nursing, 2023, 30(6): 68-71. |
|