ArticleBMC cancer2021
Building a biopsychosocial model of cancer-related fatigue: the BIOCARE FActory cohort study protocol.
Article in BMC cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04391543 (BIOpsychosocial Approach of the CAncer-RElated FAtigue), which is not on this map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
BIOpsychosocial Approach of the CAncer-RElated FAtigue
Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The Effect of Theory-Guided Positive Psychological Interventions for Patients With Breast Cancer: A Systematic Review and Meta-Analysis.Journal of clinical nursing · 2026Pooled it
- Comparison of neuromuscular fatigability amplitude and etiologies between fatigued and non-fatigued cancer patients.European journal of applied physiology · 2024Trial
- Distinct sleep and rest-activity profiles according to adjuvant treatment exposure in women treated for breast cancer.The oncologist · 2026Article
- Article
- Pain Predicts Next-Day Fatigue in Adolescents and Young Adults Receiving Maintenance Treatment for Acute Lymphoblastic Leukemia.Journal of adolescent and young adult oncology · 2026Article
- Investigating fatigue in adults with neuroendocrine neoplasms using a biopsychosocial model.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025Observational
- Tracking cancer-related fatigue during chemotherapy: Insights from a comparative cohort study of early breast cancer patients.International journal of cancer · 2025Article
- Visual analysis of the research frontiers, hotspots and trends of exercise therapy intervention in tumor-related sleep-wake disorders.Frontiers in oncology · 2024Article
- Managing cancer and living meaningfully (CALM) as an intervention for severe fatigue in gastrointestinal cancer survivors.American journal of cancer research · 2022Article
Corrections and comments
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Authors and funding
15 authors.
Funding
Abstract
backgroundCancer-related fatigue (CRF) is the most common side effect of cancer and cancer treatment. CRF prevalence is up to 50% in breast cancer patients and can continue several years after cancer remission. This persistent subjective sense of exhaustion is multifactorial. Numerous parameters have been evidenced to be related to CRF across biological, physical, psychological, social and/or behavioral dimensions. Although CRF has been studied for many years, the majority of previous studies focused on only one dimension, i.e., physical function. Moreover, few studies investigated CRF longitudinally with repeated measures. These are the two main obstacles that limit the understanding of CRF mechanisms. The purpose of this study is to create a biopsychosocial model of CRF with simultaneous and longitudinal anthropometric, clinical, biological, physical, psychological and sociological parameters.
methodsBIOCARE FActory is a multicentric prospective study that will consist of an 18-month follow-up of 200 women diagnosed with breast cancer. Four visits will be scheduled at diagnosis, after treatments, and 12 and 18 months after diagnosis. The same procedure will be followed for each visit. Each session will be composed of anthropometric data collection, a semi-structured interview, cognitive tests, postural control tests, neuromuscular fatigability tests and a cardiorespiratory fitness test. Clinical and biological data will be collected during medical follow-ups. Participants will also complete questionnaires to assess psychological aspects and quality of life and wear an actigraphy device. Using a structural equation modeling analysis (SEM), collected data will build a biopsychosocial model of CRF, including the physiological, biological, psychological, behavioral and social dimensions of CRF. DISCUSSION: This study aims to highlight the dynamics of CRF and its correlates from diagnosis to post treatment. SEM analysis could examine some relations between potential mechanisms and CRF. Thus, the biopsychosocial model will contribute to a better understanding of CRF and its underlying mechanisms from diagnosis to the aftermaths of cancer and its treatments.
trial registrationThis study is registered at ClinicalTrials.gov ( NCT04391543 ), May 2020.
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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.