ArticleSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2023
Exploring the dynamics of perioperative symptom networks in colorectal cancer patients: a cross-lagged panel network analysis.
Article in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.
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Who cites it
17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 17 citations in OpenAlex.
- Investigating the Complexity of Multidimensional Symptom Experiences in Patients With Cancer: Systematic Review of the Network Analysis Approach.JMIR cancer · 2025Pooled it
- Global research trends on gastrointestinal cancer and mental health (2004-2024): a bibliographic study.Frontiers in medicine · 2025Pooled it
- Mechanisms of simplified sitting Badunjin effects on symptom burden: a network-based cross-lagged analysis in advanced cancer patients.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026Trial
- Exploring the Dynamics of Perioperative Quality of Life in Patients with Pancreatic Cancer: A Cross-Lagged Panel Network Analysis.Annals of surgical oncology · 2026Article
- Reconsidering the interpretation of network analysis in symptom research.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026Article
- Dynamic Network Analysis of Symptom Profiles and Their Expected Impact on Patients with Colorectal Cancer Receiving Postoperative Adjuvant Chemotherapy.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026Article
- Longitudinal Dynamics of Pain, Fatigue, Anxiety-Depression, Sleep, and Functional Limitation in Older Adults with Rheumatoid Arthritis: A Cross-Lagged Panel Network Analysis.Clinical interventions in aging · 2026Article
- Symptom Network Evolution and Longitudinal Interrelationships in Early-Stage Lung Cancer Patients Postoperatively.International journal of general medicine · 2026Article
- Longitudinal Interplay Between Team Resilience and Team Stress in Low-Stability Clinical Nursing Teams: A Cross-Lagged Panel Network Analysis.Journal of nursing management · 2026Article
- Dynamic interactions between physical activity, exercise adherence, and adverse psychological states in Chinese older adults: a cross-lagged network analysis.Frontiers in public health · 2026Article
- Symptom network in patients with colorectal cancer during the perioperative period.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025Article
- Network analysis of multidimensional symptom experience among postoperative esophageal cancer survivors.Health and quality of life outcomes · 2025Article
- Symptom dynamics through multiphase treatment in acute myeloid leukemia: a cross-lagged panel network analysis.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025Article
- Perioperative symptoms in patients with thyroid cancer: a cross-sectional and longitudinal network analysis.BMC endocrine disorders · 2025Observational
- Core symptoms in patients with colorectal cancer receiving chemotherapy: a network analysis.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025Article
- Symptom clusters and network analysis of patients with intermediate and advanced liver cancer treated with targeted immunotherapy.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024Article
- Core and bridge symptoms of demoralization in Chinese female cancer patients: a network analysis.Frontiers in psychiatry · 2024Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundColorectal cancer incidence is on the rise, necessitating precise symptom management. However, causal relationships among symptoms have been challenging to establish due to reliance on cross-sectional data. Cross-lagged panel network (CLPN) analysis offers a solution, leveraging longitudinal data for insight.
objectiveWe employed CLPN analysis to construct symptom networks in colorectal cancer patients at three perioperative time points, aiming to identify predictive relationships and intervention opportunities.
methodsWe evaluated the prevalence and severity of symptoms throughout the perioperative period, encompassing T1 the first day of admission, T2 2-3 days postoperatively, and T3 discharge, utilizing the M. D. Anderson Symptom Inventory Gastrointestinal Cancer Module (MDASI-GI). To identify crucial nodes in the network and explore predictive and interactive effects among symptoms, CLPNs were constructed from longitudinal data in R.
resultsThe analysis revealed a stable network, with disturbed sleep exhibiting the highest out-EI (outgoing expected influence) during T1. Distress had a sustained impact throughout the perioperative. Disturbed sleep at T1 predicted T2 bloating, fatigue, distress, and pain. T1 distress predicted T2 sadness severity. T2 distress primarily predicted T3 fatigue, disturbed sleep, changes in taste, and bloating. T2 shortness of breath predicted T3 changes in taste and loss of appetite. Furthermore, biochemical markers like RBC and ALB had notable influence on symptom clusters during T1→T2 and T2→T3, respectively.
conclusionPrioritizing disturbed sleep during T1 and addressing distress throughout the perioperative phase is recommended. Effective symptom management not only breaks the chain of symptom progression, enhancing healthcare impact, but also eases patient symptom burdens.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.