Xiaolian Jiang

Bibliometric analysis of hotspots and frontiers in cancer-related fatigue among ovarian cancer survivors

Objectives To explore and analyze research hotspots and frontiers in CRF in ovarian cancer patients to provide an evidence-based basis for scholars and policymakers. Background Ovarian cancer is one of the most common and lethal gynecological malignancies. Cancer-related fatigue (CRF) is an annoying and pervasive side-effect that seriously affects the activities of daily living and decreases the quality of life (QoL) of cancer survivors. Methods The literature was retrieved from the Web of Science Core Collection (WOSCC) from inception to 2021-12-31. CiteSpace was used to discuss research countries, institutions, authors, and keywords. Results This study ultimately included 755 valid publications, and the number of publications showed a gradual upward trend. The countries, institutions, authors, and journals that have published the most articles and cited the most frequently were the United States, the University of Texas MD Anderson Cancer Center, Michael Friedlander and Amit M Oza, Gynecologic Oncology, and Journal of Clinical Oncology. The top three high-frequency keywords were Ovarian cancer, chemotherapy, and clinical trial. The top three keywords with the strongest citation bursts were cyclophosphamide, double-blind, and open-label. Conclusions Conducting multi-center, large-sample, randomized controlled clinical trials to determine whether chemotherapeutic agents have severe adverse effects and to discuss the relationship between CRF and QoL and overall survival in cancer survivors are hotspots in this field. The new trends may be applying double-blind, randomized controlled trials to clarify the causes of CRF and open-label, randomized trials to determine the efficacy, safety, and tolerability of chemotherapeutic agents.

Posttraumatic growth trajectories of couples with gynecological cancer: A longitudinal study

We aimed to describe and compare posttraumatic growth (PTG) levels among gynecological cancer patients and spouses at various time points within one year of diagnosis, as well as to investigate the association, trajectory, and subgroup characteristics of their PTG. Couples in a longitudinal observational study filled out questionnaires within 1 month of gynecological cancer diagnosis, as well as 3, 6, and 12 months later. A growth mixture model (GMM) was utilized to explore PTG trajectories. Statistical analyses included Spearman rank correlation, chi-square test, nonparametric test, and post-hoc test. A significant positive correlation was found between the PTG scores of patients and spouses at different times (P < 0.01), with the patients' scores being significantly higher (P < 0.001). Within a year of diagnosis, patients' and their spouses' PTG showed an overall upward trend. The GMM identified three categories for patients' PTG trajectories: high stability (33.7%), decline (19.1%), and low growth (47.2%). Similarly, spouses' PTG trajectories fell into three categories: medium growth (42.8%), decline (8.6%), and low stability (48.6%). Subgroup analysis of patients and spouses with different PTG trajectories indicated significant differences concerning educational attainment, residence location, per capita monthly family income, payment method of patients' medical expenses, and subjective severity of patients' diseases (P < 0.05). This study represents the inaugural effort to investigate the levels and correlations of PTG between gynecological cancer patients and their spouses from a longitudinal perspective. Furthermore, three distinct trajectories were identified for both partners. Patients and spouses exhibiting different PTG trajectories possess unique demographic and disease characteristics.