ArticleTrials2020
A study protocol for HEalth-Related quality of life-intervention in survivors of Breast and other cancers experiencing cancer-related fatigue using TraditionAL Chinese Medicine: the HERBAL trial.
Article in Trials, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04104113 (HEalth-Related Quality of Life-intervention in Survivors of Breast and Other Cancers Experiencing Cancer-related Fatigue Using TraditionAL Chinese Medicine), which is not on this map. Cited by 4 papers.
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.
HEalth-Related Quality of Life-intervention in Survivors of Breast and Other Cancers Experiencing Cancer-related Fatigue Using TraditionAL Chinese Medicine: The HERBAL Trial
Who cites it
4 citing papers in PubMed, 5 citations in OpenAlex.
- HEalth-Related Quality of Life-Intervention in Survivors of Breast and Other Cancers Experiencing Cancer-Related Fatigue and Associated Cognitive Symptoms Using TraditionAL Chinese Medicine: The 'HERBAL' Trial.Integrative cancer therapiesTrial
- Traditional Chinese Medicine for Breast Cancer: A Review.Breast cancer (Dove Medical Press) · 2023Review
- Patient-Reported Outcomes Following the Use of Jiang Tang San Huang Tablets in Type 2 Diabetes Mellitus: A Retrospective Cohort Study in a Chinese Population.Diabetes, metabolic syndrome and obesity : targets and therapy · 2022Article
- Are Published Cancer Care Trial Protocols With Traditional Chinese Medicine Interventions Concordant With SPIRIT-TCM Extension 2018? A Scoping Review on Published Trial Protocols Between 2019 and 2022.Integrative cancer therapiesArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors at 3 institutions in 2 countries.
Funding
Abstract
backgroundCancer-related fatigue (CRF) is a debilitating condition which commonly affects cancer survivors. The management of CRF remains a challenge due to the lack of effective pharmacological interventions. Traditional Chinese medicine (TCM) could be a potential therapeutic option for CRF. The modified Xiang Bei Yang Rong Tang (XBYRT) is a TCM herbal decoction, formulated to improve fatigue symptoms in cancer survivors. This clinical trial aims to evaluate the efficacy and safety of XBYRT in improving CRF and quality of life (QOL) of cancer survivors.
methodsThis is a single centre, randomized, double-blind, placebo-controlled, parallel trial. Eighty cancer survivors will be recruited and randomized to receive the XBYRT or placebo decoction, in a ratio of 1:1. Participants will consume the XBYRT/placebo decoction daily for 8 weeks and undergo assessments at baseline and 4, 8 and 10 weeks after baseline. The participants will be assessed for patient-reported outcomes (PRO), blood biomarkers and adverse events at each time point. The primary outcome is the overall health and QOL status, at 8 weeks follow-up. The secondary outcomes are the effects of XBYRT on fatigue levels, cancer-related cognitive impairment and QOL, as assessed by PRO. The incidence of adverse events and the effects of the XBYRT decoction on blood biomarkers associated with CRF will also be evaluated. DISCUSSION: Efficacy and safety outcomes from this trial will provide important clinical data to guide future large-scale randomized controlled trials, and the evaluation of the objective blood biomarkers can help to delineate the biological mechanisms of CRF. TRIAL REGISTRATION NUMBER: ClinicalTrials.gov NCT04104113 . Registered on 26 September 2019.
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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.