ArticleBMC complementary and alternative medicine2013
AcuTrials®: an online database of randomized controlled trials and systematic reviews of acupuncture.
Article in BMC complementary and alternative medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The quality of reports of randomized clinical trials on traditional Chinese medicine treatments: a systematic review of articles indexed in the China National Knowledge Infrastructure database from 2005 to 2012.BMC complementary and alternative medicine · 2014Pooled it
- Online sources of health-related traditional knowledge: content for a traditional medicine library.Bulletin of the World Health Organization · 2026Review
- Development of Acupuncture and Moxibustion Protocol in a Clinical Trial for Irritable Bowel Syndrome.Journal of acupuncture and meridian studies · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe growing quantity of Complementary and Alternative Medicine literature requires databases enabled with increasingly powerful search capabilities. To address this need in the area of acupuncture research, a bibliographic database of randomized controlled trials (RCTs) and systematic reviews called AcuTrials® has been developed by the Oregon College of Oriental Medicine. AcuTrials® introduces a comprehensive keyword thesaurus that categorizes details of treatment protocols and research design to an extent not currently available in MEDLINE or other databases. DESCRIPTION: AcuTrials®, which went live in January of 2010 and is updated monthly, currently contains over 1250 articles from more than 300 journals. Articles included are English language RCTs and systematic reviews that report on medical conditions in human subjects treated by needle acupuncture. Study details are indexed by 14 key domains, such as acupuncture style and needling protocol, to create an acupuncture-relevant, searchable keyword catalogue. Keywords follow the National Library of Medicine (NLM) MeSH terminology when possible, and new keywords were created in cases where no appropriate MeSH terms were available. The resulting keyword catalogue enables users to perform sensitive, targeted searches for particular aspects of acupuncture treatment and research design.
conclusionsAcuTrials® provides an extensive and innovative keyword catalogue of acupuncture research, allowing users to efficiently navigate, locate and assess the evidence base in ways not currently possible with other databases. By providing a more powerful suite of search options, the AcuTrials® database has the potential to enhance the accessibility and quality of acupuncture research.
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.