ArticleAcupuncture and herbal medicine2022
Moxibustion for COVID-19: a systematic scoping review.
Article in Acupuncture and herbal medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis 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
4 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.
- RETRACTED: Effects of exercise in treating patients with venous leg ulcers: An umbrella review.International wound journal · 2024Pooled it
- Effects of electromagnetic therapy in treating patients with venous leg ulcers: An overview of systematic reviews.International wound journal · 2024Review
- RETRACTED: A meta-analysis of clinical studies of moxibustion for pressure ulcer healing.International wound journal · 2024Article
- Tracking trends in COVID-19 vaccines based on 47 different vaccines: A bibliometric review.Human vaccines & immunotherapeutics · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Moxibustion has been widely used in the prevention and treatment of COVID-19. However, there is no systematic review of current topics and clinical findings on moxibustion for COVID-19. We conducted this scoping review to systematically summarize and analyze the themes and findings of published articles, and to provide an overview of current knowledge and practice of moxibustion for COVID-19. Methods: PubMed, Embase, Cochrane Library, Web of Science, China National Knowledge Infrastructure, SinoMed, Wan Fang Data, and VIP databases were searched from inception until April 2022. The relevant data were presented through bar graphs, structured tables, and figures along with descriptive statistics and analysis. This scoping review was conducted based on the PRISMA-ScR Checklist. Results: A total of 76 articles were reviewed: 47 reviews, 19 clinical research studies, seven systematic reviews (all were protocols), and three guidelines. All the studies were conducted by Chinese researchers and published from January 1, 2020 to March 14, 2022. The feasibility of moxibustion in the prevention and treatment of mild or moderate COVID-19 is based on the consensus of therapeutic mechanisms and effectiveness. The most adopted approach was the suspended and gentle moxibustion, and the most frequently applied or recommended acupoints were found to be ST36, CV8, CV6, CV4, CV12, GV14, BL13, LI4, ST25, and LR3. Conclusions: As a convenient and safe traditional Chinese medicine (TCM) therapy with its specific feature, moxibustion has been significantly effective at ameliorating mild or moderate symptoms among COVID-19 patients. Further large-scale, well-designed research and international cooperation are still warranted in clinical evaluations of moxibustion. Graphical abstract: http://links.lww.com/AHM/A35.
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.