Trial reportJournal of clinical oncology : official journal of the American Society of Clinical Oncology2022
Development and Validation of a Predictive Model of Severe Fatigue After Breast Cancer Diagnosis: Toward a Personalized Framework in Survivorship Care.
Trial report in Journal of clinical oncology : official journal of the American Society of Clinical Oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01993498 (A Prospective Cohort to Investigate Survivorship Issues in Patients With Early Cancer), which is not on this map. Cited by 37 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
A Prospective Cohort to Investigate Survivorship Issues in Patients With Early Cancer
Who cites it
37 citing papers in PubMed, 2 syntheses or guidelines pooled it, 57 citations in OpenAlex.
- Diagnostic predictive models for cancer-related fatigue: current evidence and future directions.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026Pooled it
- Exploring the role of health-related quality of life measures in predictive modelling for oncology: a systematic review.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025Pooled it
- Effects of Tai Chi Chuan on physical function and health in breast cancer patients.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025Trial
- Effects of Managing Cancer and Living Meaningfully on Cancer-Related Fatigue and Cytokine Levels in Gastrointestinal Cancer Patients.Integrative cancer therapiesTrial
- Health-related quality of life in cancer survivors 5 years after total thyroidectomy: a population-based study.Journal of the Endocrine Society · 2026Article
- Dynamic trajectories of health-related quality of life during neoadjuvant chemotherapy in breast cancer: differential effects of anthracycline-taxane sequencing.Science China. Life sciences · 2026Article
- Multidimensional fatigue and its impact on work productivity, mood and quality of life in long-term survivors following definitive intensity-modulated radiotherapy for oropharyngeal cancer: A cross-sectional study.Journal of cancer survivorship : research and practice · 2026Article
- Time-Dynamic AI Models to Predict Quality of Life in Patients With Breast Cancer: Development and Validation Study Using the EORTC BALANCE Cohort.Journal of medical Internet research · 2026Article
- Article
- Understanding, Recognizing, and Managing Cancer-Related Fatigue Associated with Breast Cancer.Current treatment options in oncology · 2026Review
- Comparative efficacy of aerobic exercise and mind-body practices in improving sleep quality and psychological distress among elderly breast cancer patients: a systematic review.Frontiers in oncology · 2026Review
- The long road after breast cancer: survivorship issues and long-term treatment effects in young women.Frontiers in oncology · 2026Review
- Development and validation of a machine learning model to predict moderate-to-severe cancer-related fatigue in breast cancer.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025Article
- Risk stratification using a nomogram model for postoperative cancer-related fatigue in elderly survivors following early-stage non-small cell lung cancer resection.BMC pulmonary medicine · 2025Article
- Nurse-Directed coordination of cancer survivorship care in a tribal primary care clinic.BMC primary care · 2025Article
- Postcancer rehabilitation: multidisciplinary exercise - programme organisation and feasibility.BMJ supportive & palliative care · 2025Article
- Development of machine learning models to predict cancer-related fatigue in Dutch breast cancer survivors up to 15 years after diagnosis.Journal of cancer survivorship : research and practice · 2025Article
- Article
- Development of a prediction model for clinically-relevant fatigue: a multi-cancer approach.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025Article
- Artificial intelligence in oncology: ensuring safe and effective integration of language models in clinical practice.The Lancet regional health. Europe · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
23 authors at 9 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeFatigue is common and troublesome among breast cancer survivors; however, limited tools exist to predict its risk. PATIENTS AND
methodsParticipants with stage I-III breast cancer were prospectively included from CANTO (ClinicalTrials.gov identifier: NCT01993498), collecting longitudinal data at diagnosis (before the initiation of any cancer treatment) and 1 (T1), 2 (T2), and 4 (T3) years after diagnosis. The main outcome was severe global fatigue at T2 (score ≥ 40/100, European Organisation for Research and Treatment of Cancer (EORTC) Quality of Life Questionnaire-C30). Analyses at T3 were exploratory. Secondary outcomes included physical, emotional, and cognitive fatigue (EORTC Quality of Life Questionnaire-FA12). Multivariable logistic regression models retained associations with severe fatigue by bootstrapped Augmented Backward Elimination. Validation methods included 10-fold internal cross-validation, overoptimism-corrected area under the receiver operating characteristic curves, and external validation.
resultsAmong 5,640, 5,000, and 3,400 patients at T1, T2, and T3, respectively, the prevalence of post-treatment severe global fatigue was 35.6%, 34.0%, and 31.5% in the development cohort. Retained risk factors for severe global fatigue at T2 were severe pretreatment fatigue (adjusted odds ratio
conclusionWe propose a predictive model to assess fatigue among breast cancer survivors, within a personalized survivorship care framework. This may help clinicians to provide early management interventions or to correct modifiable risk factors and offer more tailored monitoring and education to patients at risk of severe post-treatment fatigue.
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What OpenQuestion holds
Registered trials
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.