SynthesisFrontiers in pharmacology2022
Chinese herbal medicine for the treatment of chronic fatigue syndrome: A systematic review and meta-analysis.
Synthesis in Frontiers in pharmacology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 5 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
14 citing papers in PubMed, 5 syntheses or guidelines pooled it.
- Efficacy and safety of traditional Chinese medicine for post-COVID-19 syndrome: a systematic review and meta-analysis.Journal of translational medicine · 2025Pooled it
- Recent research in myalgic encephalomyelitis/chronic fatigue syndrome: an evidence map.Health technology assessment (Winchester, England) · 2025Pooled it
- Efficacy and safety of Xiaoyao San in the treatment of chronic fatigue syndrome: a systematic review and meta-analysis.Frontiers in pharmacology · 2025Pooled it
- Chinese herbal medicine for post-viral fatigue: A systematic review of randomized controlled trials.PloS one · 2024Pooled it
- Is there a role for traditional and complementary medicines in managing chronic fatigue? a systematic review of randomized controlled trials.Frontiers in pharmacology · 2023Pooled it
- 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
- Phosphoproteomic analysis reveals differential associations between liver-spleen disharmony and qi-blood deficiency syndromes in chronic fatigue syndrome.Journal of translational medicine · 2026Article
- The prevalence, determinants, and mechanisms of traditional Chinese medicine service utilization among healthcare professionals: a study based on the Andersen Behavioral Model.Frontiers in public health · 2026Article
- Anti-fatigue mechanism ofFrontiers in cell and developmental biology · 2026Article
- A Direct Relationship Between 'Blood Stasis' and Fibrinaloid Microclots in Chronic, Inflammatory, and Vascular Diseases, and Some Traditional Natural Products Approaches to Treatment.Pharmaceuticals (Basel, Switzerland) · 2025Review
- Article
- Clinical effects of traditional Chinese herbal medicine management in patients with COVID-19 sequelae: A hospital-based retrospective cohort study in Taiwan.International journal of medical sciences · 2024Article
- Constituents, pharmacological activities, pharmacokinetic studies, clinical applications, and safety profile on the classical prescription Kaixinsan.Frontiers in pharmacology · 2024Review
- Ginsenoside Rg1 can reverse fatigue behavior in CFS rats by regulating EGFR and affecting Taurine and Mannose 6-phosphate metabolism.Frontiers in pharmacology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
Indexed as
Identifiers
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.