ReviewChinese journal of integrative medicine2022
Role of Parameter Setting in Electroacupuncture: Current Scenario and Future Prospects.
Review in Chinese journal of integrative medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 3 of them syntheses that pooled it.
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
12 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Different Acupuncture Therapies for Postherpetic Neuralgia: An Overview of Systematic Reviews and Meta-analysis.Chinese journal of integrative medicine · 2025Pooled it
- Research on the mechanism of core acupoints in electroacupuncture for functional constipation based on data mining and network acupuncture.Frontiers in medicine · 2024Pooled it
- Effects of multiple acupuncture therapies on cognitive function and quality of life in stroke patients: a systematic review and network meta-analysis.Frontiers in neurologyPooled it
- Effects of Electroacupuncture with Different Waveforms on Chronic Prostatitis/Chronic Pelvic Pain Syndromes: A Randomized Controlled Trial.Contrast media & molecular imaging · 2022Trial
- Article
- Electroacupuncture Protects Against Post-MI Heart Failure Through Autonomic Regulation and α7nAChR Activation.Cardiology research and practice · 2026Article
- Potential impacts of acupuncture on motor function recovery after ischemic stroke: insights from basic and clinical studies.Frontiers in cellular neuroscience · 2025Review
- AI: Bridging Ancient Wisdom and Modern Innovation in Traditional Chinese Medicine.JMIR medical informatics · 2024Article
- Multimodal non-invasive non-pharmacological therapies for chronic pain: mechanisms and progress.BMC medicine · 2023Review
- Research on electroacupuncture parameters for knee osteoarthritis based on data mining.European journal of medical research · 2022Review
- Artificial intelligence-directed acupuncture: a review.Chinese medicine · 2022Review
- The Influence of Acupuncture Parameters on Efficacy and the Possible Use of Acupuncture in Combination with or as a Substitute for Drug Therapy in Patients with Ulcerative Colitis.Evidence-based complementary and alternative medicine : eCAM · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Acupuncture is an ancient therapeutic method based on the theory of Chinese medicine (CM). Traditional acupuncture has many limitations; it is subjective and relies more on the experience of an acupuncturist, and the efficacy is sometimes irreproducible. In contrast, electroacupuncture (EA) has special characteristics in terms of objectivity and stability, thereby gaining considerable attention. Parameter setting plays a crucial role in EA practice. The current paper summarizes the current situation and limitations of parameter setting in EA practice. Objectification is the tendency and future of CM as well as EA. With the development of computerized technologies, such as wearable sensors, vast data, and artificial intelligence, CM syndromes can be successfully objectified. We propose the development of a novel self-feedback-adjust EA system, which may improve the parameter setting in EA and be beneficial to both the patients and clinicians.
Indexed as
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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.