ArticleBMC women's health2025
A longitudinal study of early postoperative symptom cluster trajectories in patients with gynecologic malignancies.
Article in BMC women's health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Symptom burden and symptom clusters in ovarian cancer patients during first-line maintenance therapy: a cross-sectional survey.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026Article
- Perioperative Symptom Trajectories and a Risk Prediction Model for Cervical Cancer: A Prospective Longitudinal Study.International journal of women's health · 2026Article
- Symptom Clusters and Quality of Life in Cervical Cancer Patients During the Perioperative Period: A Longitudinal Study.Patient preference and adherence · 2026Article
- Illness uncertainty in individuals with gynecologic and breast cancer: A latent profile analysis and structural equation modeling.PloS one · 2026Article
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Authors and funding
8 authors.
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Abstract
objectiveTo explore the dynamic evolution of symptom clusters in patients with gynecologic malignancies during the early postoperative period and identify key transition points and influencing factors, providing evidence for precision symptom management in clinical nursing.
methodsA longitudinal study was conducted among 324 patients using the MDASI-PeriOp-GYN on postoperative days 1 (T1), 5 (T2), and 7 (T3). Exploratory factor analysis identified symptom clusters at each time point, and growth mixture modeling (GMM) was applied to examine trajectory patterns. Latent profile analysis (LPA) and network analysis were performed at T2 to identify patient subgroups, influencing factors, and core symptoms.
resultsFive symptom clusters were identified: disease behavior, gastrointestinal, endocrine, neurological, and emotional. The emotional cluster, independent at T1 and T3, merged with the disease behavior cluster at T2. GMM indicated that all clusters declined from T1 to T2, followed by divergence after T2. LPA identified high- and low-symptom subgroups. Patients with ovarian cancer and those with KPS_1 were more likely to belong to the high-symptom group. Network analysis revealed "poor appetite" as the most central symptom at T2.
conclusionPostoperative day 5 (T2) represents a critical transition point in symptom evolution. Ovarian and KPS_1 are at higher risk for severe symptoms, and "poor appetite" plays a key driving role. Targeted assessment and intervention at T2 may reduce symptom burden and improve recovery outcomes in patients with gynecologic malignancies.
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