ArticleJournal of traditional Chinese medicine = Chung i tsa chih ying wen pan2022
Mechanisms of immune regulation for acupuncture on chronic respiratory diseases.
Article in Journal of traditional Chinese medicine = Chung i tsa chih ying wen pan, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed, 1 citations in OpenAlex.
Corrections and comments
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Chronic respiratory diseases (CRDs) are among the most common noncommunicable diseases globally, with high morbidity and mortality rates. Acupuncture, a treatment method derived from Traditional Chinese Medicine, has been shown to be effective at treating CRDs, with little risk of adverse effects. Scientific research on the mechanisms underlying the effects of acupuncture, especially, its immune regulatory function, has rapidly advanced in recent years. Herein, the diverse immune regulatory mechanisms underlying the beneficial effects of acupuncture are summarized from the perspectives of innate immunity, adaptive immunity, and neuroimmunity. A better understanding of these mechanisms will ultimately provide a scientific basis for the clinical use of acupuncture for the treatment of CRDs.
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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.