Back to search

Article

Varying severity of symptoms underline the relevance of personalized follow-up care in breast cancer survivors: Latent class cluster analyses in a cross-sectional cohort

2022-04-08

Abstract excerpt

<title>Abstract</title> <p>Purpose Insights into the severity of co-existing symptoms can help identifying breast cancer survivors in need of symptom management. We aimed to identify subgroups of breast cancer survivors based on patterns of symptom severity, and characteristics associated with these subgroups. Methods We selected surgically-treated stage I-III breast cancer survivors 1–5 years post-diagnosis fr...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
b226e8b8-f184-5f26-9575-102572c47f22
DOI
10.21203/rs.3.rs-1426531/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Varying severity of symptoms underline the relevance of personalized follow-up care in breast cancer survivors: Latent class cluster analyses in a cross-sectional cohortDOI 10.21203/rs.3.rs-1426531/v1
Latent Class Symptom Profiles of Colorectal Cancer Survivors with Cancer-Related Cognitive ImpairmentSemantic proximity
Latent class analysis of symptom clusters in preventive enterostomy with colorectal cancer patients based on nutritional statusSemantic proximity
Genes Involved in the HPA Axis and the Symptom Cluster of Fatigue, Depressive Symptoms, and Anxiety in Women With Breast Cancer During 18 Months of Adjuvant Therapy.Semantic proximity
A Network Analysis of Core Symptoms and Symptom Clusters in Cervical Cancer Patients During the Rehabilitation PeriodSemantic proximity
Associations between cytokine genes and a symptom cluster of pain, fatigue, sleep disturbance, and depression in patients prior to breast cancer surgery.Semantic proximity
Polymorphisms in Cytokine Genes Are Associated With Higher Levels of Fatigue and Lower Levels of Energy in Women After Breast Cancer Surgery.Semantic proximity
Cytokine gene variation is associated with depressive symptom trajectories in oncology patients and family caregivers.Semantic proximity
Association between pro- and anti-inflammatory cytokine genes and a symptom cluster of pain, fatigue, sleep disturbance, and depression.Semantic proximity
Thinking beyond the tumor to better understand chronic symptoms in breast cancer survivors.Semantic proximity
Interdependent Patient-Reported Outcome Patterns During Breast Cancer Pharmacotherapy: A Correlation-Based Analysis Using EORTC QLQ-C30 and QLQ-BR23Semantic proximity
Subgrouping of Iranian Women Based on Breast Cancer Risk Factors in A Population-Based Screening Program.Semantic proximity
Influencing factors associated with symptom profiles among multiple myeloma patients: A latent profile analysisSemantic proximity
Select a neighboring publication to make it the new centre.