ReviewAcupuncture and herbal medicine2023
Multi-effective characteristics and advantages of acupuncture in COVID-19 treatment.
Review in Acupuncture and herbal medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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
5 citing papers in PubMed, 15 citations in OpenAlex.
- Acupuncture for Persistent Asthma: Protocol for a Randomized, Sham-Controlled Trial with Neuroimaging.Journal of asthma and allergy · 2026Article
- Acupuncture at Zusanli (ST36) for the benefits of sepsis-laboratory evidence for "preventive treatment of disease" and "holistic concept" in the protective effects of acupuncture: a literature review of rodent studies.Frontiers in neurology · 2025Review
- Tryptophan Metabolism Disorder-Triggered Diseases, Mechanisms, and Therapeutic Strategies: A Scientometric Review.Nutrients · 2024Review
- Burnout among Nurses: A Bibliometric Analysis of the Global Publications.Psychology research and behavior management · 2024Article
- An Overview of Systematic Reviews and Meta-Analyses of Clinical Studies of Acupuncture for Cancer Pain.Integrative cancer therapiesReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Coronavirus disease 2019 (COVID-19) is a major disease that threatens human life and health. Its pathogenesis is complex and still not fully clarified. The clinical treatment is mainly supportive and lacks specific treatment methods. Acupuncture treatment can inhibit immune inflammatory reactions, neuroinflammatory reactions, oxidative stress levels, and hypothalamus-pituitary-adrenal (HPA) axis activity, improve lung function, and relieve migraine, fatigue, anxiety, and depression. However, whether acupuncture treatment is suitable for treating these symptoms in patients with COVID-19 still needs to be investigated. For this review, the literature was systematically searched for multiple databases to summarize the mechanisms of acupuncture treatment for COVID-19-related symptoms and complications. A complex network analysis of acupoints and symptoms was also performed to clarify acupoint selection in the acupuncture treatment of symptoms related to COVID-19. The evidence indicates that acupuncture can improve the respiratory, digestive, nervous, and mental and psychological symptoms related to COVID-19 by inhibiting immune inflammatory reactions, regulating intestinal flora, mitochondrial function, oxidative stress level, cardiomyocyte apoptosis, neurotransmitter release, and HPA axis activity, and alleviating basic diseases such as diseases of the vascular system. Acupuncture can improve various clinical and concomitant symptoms of COVID-19; however, its mechanism of action is complex and requires further study. Graphical abstract: http://links.lww.com/AHM/A54.
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.