Observational studyMedicine2016
Who are the users of a traditional Chinese sanfu acupoint herbal patching therapy in China?: A cross-sectional survey.
Observational study in Medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.
- Potential factors that influence usage of complementary and alternative medicine worldwide: a systematic review.BMC complementary medicine and therapies · 2020Pooled it
- Traditional Chinese medicine as an adjunctive therapy to oral montelukast for treating patients with chronic asthma.Medicine · 2017Trial
- Acupoint Herbal Patching for Long-Term Immune Function in Children with Recurrent Respiratory-Tract Infections: A Systematic Review of Real-World Data.Medical acupuncture · 2021Review
- Acupoint herbal patching for bronchitis: A protocol systematic review of randomized controlled trials.Medicine · 2019Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors at 3 institutions in 2 countries.
Funding
Abstract
Sanfu acupoint herbal patching (SAHP) is a unique traditional Chinese medicine therapy, which has become popular for preventing acute attack of respiratory diseases such as asthma and chronic obstructive pulmonary disease, in many regions of mainland China. However, the knowledge about its users is lacking, especially the characteristics of the users and their experience and perspectives.To investigate the demographics of users, conditions for its use and the previous experience of SAHP, as well as users' perspectives to provide baseline information for its practice.A cross-sectional consecutive-sample survey was conducted at outpatient departments from 3 traditional Chinese medicine hospitals in northern China. Each participant completed a questionnaire, after informed consent. Data description and analyses were done using SPSS 20.0.Among 949 SAHP users from 3 hospitals, female was predominant (n = 592; 62.4%), aged from 2 to 96 years (median = 52 years). 64.7% (380/587) of regular users have applied consecutively for 3 years or over, and the self-perceived satisfaction rates of respiratory diseases were from 45.9% to 77.7%. Positive attitude toward traditional Chinese medicine was the top reason for choosing SAHP. 42.4% of users held a motivation of being cured by SAHP and with great outcome expectancy on SAHP (70.8%).SAHP users were mainly female adults or elderly population; more than half were regular users, who predominantly used SAHP for various chronic respiratory diseases during their stable stage. The majority of users expressed satisfaction to previous SAHP for their respiratory diseases. 42.4% of users held a motivation of being cured by SAHP and with great outcome expectancy on SAHP (70.8%). The findings from this survey deserve further clinical trials for their clinical effectiveness.
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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.