Asia-Pacific Journal of Oncology Nursing最新文献

{"title":"Development and preliminary validation of a PICC-related venous thrombosis risk prediction model for cancer patients: A systematic review and meta-analysis predominantly based on Chinese populations","authors":"Jiwen Zhang ,&nbsp;Caiyun Li ,&nbsp;Huijuan Zhang ,&nbsp;Wenbo Wu ,&nbsp;Xiaoshuang Sun ,&nbsp;Wei Zhang","doi":"10.1016/j.apjon.2025.100839","DOIUrl":"10.1016/j.apjon.2025.100839","url":null,"abstract":"<div><h3>Objective</h3><div>To identify key risk factors for peripherally inserted central catheter -related deep venous thrombosis (PICC-RVT) in patients with cancer through a systematic review and meta-analysis, develop risk prediction model and validate its performance.</div></div><div><h3>Methods</h3><div>A systematic literature search was performed in Pubmed, EMBASE, Web of Science (core collection), Scopus, CINAHL and Ovid databases from the time of their inception to June 2025. Study quality was assessed using the Newcastle-Ottawa Scale (NOS) checklist. Meta-analysis was performed using RevMan 5.4 statistical software to identify independent risk factors for PICC-RVT in adult patients with cancer, then the effect of each independent risk factor was determined using <em>β</em> - formation conversion for developing the risk predictive model. Finally, we collected the clinical datal of 338 adult patients with cancer who underwent PICC catheterization from June 2024 to May 2025 to evaluate the predictive performance of the risk predictive model by drawing the receiver of curve (ROC).</div></div><div><h3>Results</h3><div>A total of 32 cohort studies involving 28,813 individuals (28 from China, 2 from UK, 1 each from US and Canada) were included. Twenty-one independent risk factors were identified through meta-analysis. The risk prediction model was developed using <em>β</em> - coefficient transformation: pooled odds ratios (ORs) from meta-analysis were converted to β coefficients through natural logarithmic transformation (<em>β</em> = ln[OR]), then each <em>β</em> - coefficient was multiplied by 10 and rounded to one decimal place to create a point-based scoring system. The total risk score was calculated by summing individual factor scores. Preliminary external validation was conducted in 338 patients with cancer (15 thrombosis events, 4.4% incidence) from a single Chinese center, yielding an area under curve (AUC) of 0.792 (95% [confidence interval (CI)] 0.653–0.931). The model showed acceptable calibration (Hosmer–Lemeshow <em>P</em> = 0.082) but validation was underpowered (15 events vs. recommended 100+ events for precise performance estimation).</div></div><div><h3>Conclusions</h3><div>This study developed a PICC-RVT risk prediction model based primarily on Chinese patients with cancer. The model demonstrated moderate discrimination in preliminary single-center validation, but requires multi-center validation with adequate event numbers before clinical implementation. The model provides a framework for PICC-RVT risk stratification in Chinese and similar healthcare settings.</div></div><div><h3>Systematic review registration</h3><div>PROSPERO (CRD420250651190).</div></div>","PeriodicalId":8569,"journal":{"name":"Asia-Pacific Journal of Oncology Nursing","volume":"13 ","pages":"Article 100839"},"PeriodicalIF":2.8,"publicationDate":"2026-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145921917","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Empowering oncology nurses: The transformative power of mentorship in cancer care","authors":"Sultan Kav","doi":"10.1016/j.apjon.2025.100831","DOIUrl":"10.1016/j.apjon.2025.100831","url":null,"abstract":"","PeriodicalId":8569,"journal":{"name":"Asia-Pacific Journal of Oncology Nursing","volume":"13 ","pages":"Article 100831"},"PeriodicalIF":2.8,"publicationDate":"2026-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145838855","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Disease-related communication difficulties and dyadic coping among patients with breast cancer and their spouses: An actor–partner interdependence model","authors":"Lingling Yang ,&nbsp;Xi Zhang ,&nbsp;Meina Yang ,&nbsp;Liping Zhang ,&nbsp;Rong Wang ,&nbsp;Ting Wang","doi":"10.1016/j.apjon.2025.100829","DOIUrl":"10.1016/j.apjon.2025.100829","url":null,"abstract":"<div><h3>Objective</h3><div>To examine the association between disease communication problems and dyadic coping in patients with breast cancer and their spouses.</div></div><div><h3>Methods</h3><div>Dyadic coping and disease communication problems were assessed using the General Data Questionnaire, Chinese version of the Dyadic Coping Inventory, and the Cancer-Related Communication Problems within Couples Scale. Actor–partner interaction between dyadic coping and disease communication problems was modeled.</div></div><div><h3>Results</h3><div>The mean disease communication problems scores were 7.08 ± 2.86 for patients and 7.07 ± 2.87 for spouses. Significant differences were observed between patients and spouses in the emotional support, treatment-specific issues, and protective buffering dimensions of disease communication problems (<em>P</em> &lt; 0.05). The mean dyadic coping scores were 118.67 ± 13.16 for patients and 117.82 ± 12.86 for spouses. Patients reported significantly higher negative coping scores than their spouses (<em>P</em> &lt; 0.01). Disease communication problems in patients and spouses were significantly negatively correlated with self- and partner-dyadic coping scores (<em>r</em> = −0.360 to −0.433, <em>P</em> &lt; 0.01). Disease communication problems of patients and spouses were negatively affected by self and partner positive dyadic coping, while positively influencing negative dyadic coping.</div></div><div><h3>Conclusions</h3><div>Dyadic coping levels in couples are interactively influenced by their own communication problems and their partner's communication problems. A couple-centered disease communication strategy should be established to improve psychological and social adaptation among spouses. Such an approach may strengthen collaborative coping, deepen relational intimacy, enhance support efficacy, and provide a stronger psychosocial foundation for disease management.</div></div>","PeriodicalId":8569,"journal":{"name":"Asia-Pacific Journal of Oncology Nursing","volume":"13 ","pages":"Article 100829"},"PeriodicalIF":2.8,"publicationDate":"2026-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145882134","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Best evidence summary on gastrointestinal function recovery after radical cystectomy for bladder cancer","authors":"Yumei Dai ,&nbsp;Xiaoju Zhang ,&nbsp;Qianwen Lin ,&nbsp;Xiaofeng Gu","doi":"10.1016/j.apjon.2025.100824","DOIUrl":"10.1016/j.apjon.2025.100824","url":null,"abstract":"<div><h3>Objective</h3><div>To summarize the best available evidence on gastrointestinal function recovery in patients with bladder cancer undergoing radical cystectomy.</div></div><div><h3>Methods</h3><div>A systematic search was conducted following the Evidence-Based Health care Pyramid 5.0, covering major academic databases, professional society websites, and clinical decision support tools. Literature published up to March 31, 2025, was included. Two independent reviewers assessed the quality of included studies and extracted relevant evidence.</div></div><div><h3>Results</h3><div>Nine articles were included, comprising four clinical guidelines and five expert consensuses. The overall methodological quality was high. A total of 18 evidence items were identified, spanning the preoperative, intraoperative, and postoperative phases of care.</div></div><div><h3>Conclusions</h3><div>This review identified 18 evidence-based recommendations for gastrointestinal recovery after radical cystectomy by integrating Enhanced Recovery After Surgery concepts with traditional Chinese medicine techniques. These findings offer practical references for nursing care, while future studies are needed to support evidence implementation and improve outcomes.</div></div><div><h3>Systematic review registration</h3><div>This study was registered in the Fudan University Centre for Evidence-based Nursing (Registration No. ES20257819).</div></div>","PeriodicalId":8569,"journal":{"name":"Asia-Pacific Journal of Oncology Nursing","volume":"13 ","pages":"Article 100824"},"PeriodicalIF":2.8,"publicationDate":"2026-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145801822","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A self-service response system to improve nutrition impact symptoms management among home-based patients with advanced cancer and their family caregivers","authors":"Yitao Wei ,&nbsp;Zhenglong Lin ,&nbsp;Bingqian Ou ,&nbsp;Jinyi Wu ,&nbsp;Guojuan Chen ,&nbsp;Guiru Xu ,&nbsp;Xiaoyan Lin ,&nbsp;Jianwei Zheng ,&nbsp;Huimin Xiao","doi":"10.1016/j.apjon.2026.100852","DOIUrl":"10.1016/j.apjon.2026.100852","url":null,"abstract":"<div><h3>Objective</h3><div>To develop an evidence-based self-service response system, named <em>Ni Shuo</em> (NiS©), for managing nutrition impact symptoms (NIS) in home-based patients with advanced cancer and their caregivers.</div></div><div><h3>Methods</h3><div>A human-centered design was adopted in this study. It covered two main stages with six phases: (1) system development, including study team establishment, design requirements definition, user requirements definition, and NiS© prototype creation; and (2) system usability evaluation, including expert user experience reviews, and usability testing with end users to assess task completion rate, accuracy, time-on-task, and user satisfaction measured by the Post-Study System Usability Questionnaire (PSSUQ) and semi-structured interviews.</div></div><div><h3>Results</h3><div>The developed evidence-based NiS© system comprised four core modules: Self-Report, Intelligent Response, Knowledge Base, and Feedback Interaction. System usability evaluation demonstrated positive performance, with all tasks achieving 100% completion and accuracy rates. The average task duration was 8 minutes and 10 seconds (standard deviation [SD] = 31 seconds), and the PSSUQ yielded a mean score of 1.77 ± 0.03, indicating high user satisfaction. Qualitative feedback revealed strong user acceptance of NiS©, with participants emphasizing its practical utility and user-centric design. Additionally, participants provided actionable recommendations across three domains: (1) computational efficiency improvements for real-time responsiveness, (2) feature expansion to support personalized adaptive workflows, and (3) linguistic calibration for enhanced conversational naturalism.</div></div><div><h3>Conclusions</h3><div>NiS© is a user-centric, evidence-based, self-service system designed to deliver personalized NIS management support for patients with advanced cancer and their caregivers in homecare settings. Rigorous randomized controlled trials are warranted to establish its therapeutic efficacy across diverse healthcare ecosystems.</div></div>","PeriodicalId":8569,"journal":{"name":"Asia-Pacific Journal of Oncology Nursing","volume":"13 ","pages":"Article 100852"},"PeriodicalIF":2.8,"publicationDate":"2026-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146163611","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Emotional experiences across the cancer journey: A psycho-oncological perspective for patients, caregivers, and oncology nurses","authors":"Nazmiye Yildirim","doi":"10.1016/j.apjon.2025.100845","DOIUrl":"10.1016/j.apjon.2025.100845","url":null,"abstract":"","PeriodicalId":8569,"journal":{"name":"Asia-Pacific Journal of Oncology Nursing","volume":"13 ","pages":"Article 100845"},"PeriodicalIF":2.8,"publicationDate":"2026-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145973882","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Merging artificial intelligence into cancer nursing care: Current applications, challenges, and opportunities","authors":"Mian Wang ,&nbsp;Hammoda Abu-Odah ,&nbsp;Yingchun Zeng","doi":"10.1016/j.apjon.2025.100849","DOIUrl":"10.1016/j.apjon.2025.100849","url":null,"abstract":"","PeriodicalId":8569,"journal":{"name":"Asia-Pacific Journal of Oncology Nursing","volume":"13 ","pages":"Article 100849"},"PeriodicalIF":2.8,"publicationDate":"2026-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145973886","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparative predictive performance of three machine learning algorithms for acute radiation enteritis risk among patients with cervical cancer undergoing radiotherapy: A prospective cohort study","authors":"Zhao Wang ,&nbsp;Huiying Liu ,&nbsp;Xiaocen Chen ,&nbsp;Fang Zhang ,&nbsp;Yixuan Liu ,&nbsp;Jiayun Sun ,&nbsp;Lili Liu ,&nbsp;Xiaotong Yang","doi":"10.1016/j.apjon.2026.100853","DOIUrl":"10.1016/j.apjon.2026.100853","url":null,"abstract":"<div><h3>Objective</h3><div>To develop a machine learning-based risk prediction model for acute radiation enteritis (ARE) in patients with cervical cancer, providing a new method for early and accurate prediction of ARE during radiotherapy.</div></div><div><h3>Methods</h3><div>This prospective study enrolled patients with cervical cancer undergoing radiotherapy from March 2024 to March 2025. The patients were randomly divided into training and test sets at a 7:3 ratio. Prediction models were constructed using Logistic Regression (LR), Decision Tree (DT), and Random Forest (RF) algorithms. Model performance was evaluated based on the area under the receiver operating characteristic curve (AUC), accuracy, precision, sensitivity, specificity, and F1-score.</div></div><div><h3>Results</h3><div>The incidence of ARE was 52.85% (204/386). Among the three models, the Random Forest model demonstrated the best performance, with an AUC of 0.961, sensitivity of 0.934, and F1-score of 0.905. These performance metrics were consistently higher than those of the LR (AUC, 0.860; sensitivity, 0.739; F1-score, 0.736) and DT (AUC, 0.910; sensitivity, 0.887; F1-score, 0.873) models. The RF model showed good clinical utility in effectively identifying high-risk patients for early intervention. Feature importance ranking derived from the RF model identified the parametrial dose, radiotherapy time, clinical stage, rectal V40, age, Platelet-to-Lymphocyte Ratio (PLR), concurrent chemotherapy, and hypertension as the most influential predictors, in descending order of importance.</div></div><div><h3>Conclusions</h3><div>The RF-based risk prediction model exhibited excellent performance in assessing the risk of ARE among patients with cervical cancer undergoing radiotherapy, thereby enabling individualized risk assessment and facilitating early preventive strategies.</div></div>","PeriodicalId":8569,"journal":{"name":"Asia-Pacific Journal of Oncology Nursing","volume":"13 ","pages":"Article 100853"},"PeriodicalIF":2.8,"publicationDate":"2026-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146073954","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Bridging symptoms linking postoperative symptom clusters seven days after esophagectomy: A multicenter network analysis of 418 patients with esophageal cancer","authors":"Yanni Qin ,&nbsp;Jing Chen ,&nbsp;Ying Li ,&nbsp;Ranran Qin ,&nbsp;Shuwen Li","doi":"10.1016/j.apjon.2025.100830","DOIUrl":"10.1016/j.apjon.2025.100830","url":null,"abstract":"<div><h3>Objective</h3><div>To identify symptom clusters and key bridging symptoms among patients with esophageal cancer on postoperative day 7 after esophagectomy, and to examine sociodemographic correlates of these bridging symptoms.</div></div><div><h3>Methods</h3><div>This multicenter, cross-sectional study was conducted in three tertiary hospitals in Hefei, Anhui Province, China, between January 2024 and January 2025. A total of 418 patients with esophageal cancer completed the 28-item Convalescent Symptom Assessment Scale for Esophagectomy Patients (CSAS-EC) on postoperative day 7. Exploratory factor analysis (EFA) was used to identify symptom clusters. Symptom networks were estimated using the EBICglasso model (qgraph/bootnet), and bridge centrality indices (bridge strength and bridge expected influence) were calculated using the networktools package to identify bridging symptoms. Network stability was assessed using 1000 bootstrap samples. Independent-samples t-tests and one-way ANOVA were applied to explore associations between bridging symptom severity and sociodemographic characteristics.</div></div><div><h3>Results</h3><div>Four distinct symptom clusters were identified: psychological, surgery-related, life-disturbance, and local symptoms. Network analysis revealed that disturbed sleep (bridge strength = 0.690), incisional pain (0.587), and limited mobility (0.537) were the top three bridging symptoms linking different clusters. The stability of bridge centrality indices was robust (CS-cor = 0.672 for both bridge strength and bridge expected influence). The severity of these key symptoms differed significantly according to age, sex, place of residence, and caregiver status (all <em>P</em> &lt; 0.05).</div></div><div><h3>Conclusions</h3><div>Disturbed sleep, incisional pain and limited mobility act as key bridging symptoms linking distinct symptom clusters in patients with Esophageal cancer seven days after esophagectomy. Prioritizing interventions that address these symptoms may interrupt inter-cluster symptom propagation and improve efficiency of postoperative symptom management.</div></div>","PeriodicalId":8569,"journal":{"name":"Asia-Pacific Journal of Oncology Nursing","volume":"13 ","pages":"Article 100830"},"PeriodicalIF":2.8,"publicationDate":"2026-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145838852","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A longitudinal study of supportive care needs among Chinese parents of children with acute lymphoblastic leukemia","authors":"Jingting Wang ,&nbsp;Zhuting Zheng ,&nbsp;Tian Jin ,&nbsp;Yingwen Wang ,&nbsp;Huifang Wu ,&nbsp;Qi Yang ,&nbsp;Linyu Ma ,&nbsp;Wen Zhang ,&nbsp;Changrong Yuan","doi":"10.1016/j.apjon.2025.100827","DOIUrl":"10.1016/j.apjon.2025.100827","url":null,"abstract":"<div><h3>Objective</h3><div>To determine parents' supportive care needs trajectories over the first 8 months following their children's diagnosis and identify the predictors of these trajectories.</div></div><div><h3>Methods</h3><div>Overall, 100/112 Chinese parents of children newly diagnosed with ALL were recruited. The parents' supportive care needs were tracked at four key time points when the needs were most likely to change: post-diagnosis, induction remission phase, consolidation therapy phase, and post-acute treatment. Latent class growth modeling (LCGM) or growth mixture model (GMM) was used to identify trajectories within each of six needs domains of supportive care needs. Logistic regression was used to identify factors predicting trajectory patterns.</div></div><div><h3>Results</h3><div>Overall, parents' supportive care needs peaked immediately after diagnosis, declined throughout treatment, and stabilized between the consolidation and post-acute stages. Notably, the trajectories of each domain varied across parent subgroups. Three health care and informational needs trajectories, two daily care and communication needs trajectories, two psychological and spiritual needs trajectories, two medical service needs trajectories, three economic needs trajectories, and two emotional needs trajectories were identified. The class membership was significantly associated with parents' education level, employment status, the family's residency area, average monthly household income, type of medical payment, daily caregiving time, age of child, single child, parents' self-efficacy, and caregiving ability (<em>P</em> &lt; 0.05).</div></div><div><h3>Conclusions</h3><div>This study identified the dynamic evolution and distinct trajectories of parents’ supportive care needs, along with their key predictors. The findings provide a solid foundation for developing stage- and population-specific interventions, offering practical guidance for optimizing family-centered care and informing supportive policy formulation in pediatric oncology settings.</div></div>","PeriodicalId":8569,"journal":{"name":"Asia-Pacific Journal of Oncology Nursing","volume":"13 ","pages":"Article 100827"},"PeriodicalIF":2.8,"publicationDate":"2026-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145838853","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}