ArticleMedicine2019
Effectiveness comparisons of acupuncture for chronic prostatitis/chronic pelvic pain syndrome: A Bayesian network meta-analysis protocol.
Article in Medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed, 1 citations in OpenAlex.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
10 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundChronic prostatitis/chronic pelvic pain syndrome (CP/CPPS) is a common urinary system disease in the male population. Recent studies have shown that acupuncture can alleviate the pain caused by CP/CPPS to a certain extent and improve the quality of life of patients. This study used a network meta-analysis (NMA) to compare the effectiveness and safety of different forms of acupuncture on CP/CPPS. METHODS AND ANALYSIS: We will search for PubMed, Cochrane Library, AMED, EMbase, WorldSciNet; Nature, Science online and China Journal Full-text Database, China Biomedical Literature CD-ROM Database, and related randomized controlled trials (RCTs) included in the China Resources Database. The time is limited from the construction of the library to December 2018. The quality of the included RCTs will be evaluated with the risk of bias tool and evidence will be evaluated by grading of recommendations assessment, development, and evaluation. STATA 13.0 and WinBUGS 1.4.3 through the GeMTC package will be used to perform a NMA to synthesize direct and indirect evidence.
resultsThe results of this NMA will be submitted to a peer-reviewed journal for publication. TRIAL REGISTRATION NUMBER: PROSPERO CRD42018111408.
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Registered trials
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