ArticleClinical and experimental medicine2026
Monitoring cancer-related fatigue and quality of life in breast and prostate cancer patients after primary treatment: a study protocol for the REBECCA trials in Norway.
Article in Clinical and experimental medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 1 paper.
What it found
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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.
REsearch on BrEast Cancer Induced Chronic Conditions Supported by Causal Analysis of Multi-source Data
REBECCA-2 Study: Research on Breast Cancer Induced Chronic Conditions Supported by Causal Analysis of Multi-source Data
REBECCA-3 Study, Research on Breast Cancer Induced Chronic Conditions Supported by Causal Analysis of Multi-source Data
Who cites it
1 citing paper in PubMed.
- Designing and conducting interventional trials with passive-sensing applications on patient-owned smartphones: challenges and recommendations from the BD4QoL study.Frontiers in digital health · 2026Article
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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
28 authors.
Funding
Abstract
The REBECCA project taps into the potential of using real-world data (RWD) for supporting groundbreaking clinical research on complex chronic conditions as a complement to Randomised Controlled Trials. REBECCA moves beyond the analysis of clinical data from Electronic health records, by combining it with detailed monitoring data from multiple wearables, online behaviour and self-reported data to monitor patients's quality of life in terms of their functional and emotional status. The project focuses on the detection of cancer-related fatigue, developed during breast cancer recovery, using digital biomarker profiles for early detection of the disease and assessing the value of detailed and longitudinal patient monitoring as a means of improving patient care. The project also demonstrates the extensibility of REBECCA monitoring to other forms of cancer, such as prostate cancer. We describe the three clinical trials being conducted in Norway and the use of the REBECCA platform, capable of detailed monitoring and privacy preserving federated cross-country data analysis. The RWD will be analyzed in the context of data from questionnaires (Patient Reported Outcome Measures) and results from analysis of biological samples. Through this approach we expect that the REBECCA project will produce new knowledge on clinical management of cancer patients and contribute to new biological knowledge on cancer-related fatigue. Status and perspectives: The REBECCA project is ongoing, and patient follow-up will be completed during February 2026. The initial analyses of RWD, PROMs and biological samples have started together with the partners in the REBECCA consortium. The REBECCA trials are approved by the Regional Ethics Committee of the Western Health Authority (REK Vest) under the IDs 225,855 (REBECCA-1), 242,088 (REBECCA-2) and 619,903 (REBECCA-3). All trials have also been registered at clinicaltrials.gov (NCT05587777, NCT06120595 and NCT06435091). Trial registration: NCT05587777, Retrospectively registered 19th of October 2022, https://clinicaltrials.gov/study/ NCT05587777; NCT05587777, Retrospectively registered 6th of November 2023, https://clinicaltrials.gov/study/ NCT06120595; NCT05587777, Retrospectively registered 23rd of May 2024, https://clinicaltrials.gov/study/ NCT06435091.
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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.