ArticleMedicine2020
Efficacy and safety of Zhibitai in treating coronary heart disease patients with hyperlipemia: A protocol for systematic review and meta-analysis.
Article in Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo assess the clinical efficacy and safety of Zhibitai, as a kind of natural lipid-lowering Chinese medicine, in treating coronary heart disease patients with hyperlipemia
methods: A systematic literature search for articles up to July 2020 will be performed in following electronic databases: PubMed, Embase, the Cochrane Library, China National Knowledge Infrastructure, Chinese Scientific Journals Database Database, Chinese Biomedical Database, Chinese Biomedical Literature Service System, and Wanfang Database. Inclusion criteria are randomized controlled trials of Zhibitai applied on coronary heart disease patients with hyperlipemia. The primary outcome measures will be serum lipid levels (including total cholesterol, triglyceride, low-density lipoprotein cholesterol, and high-density lipoprotein cholesterol) and acute cardiovascular events. The secondary outcome measures will be inflammatory factors (high sensitive C-reactive protein, interleukin-6, etc), safety index (liver function, renal function, etc), and adverse events. RevMan 5.3 software will be used for data synthesis, sensitivity analysis, meta-regression, subgroup analysis, and risk of bias assessment. A funnel plot will be developed to evaluate reporting bias and Egger tests will be used to assess funnel plot symmetries. We will use the grading of recommendations assessment, development, and evaluation system to assess the quality of evidence.Trial registration number PROSPERO CRD42018103341.
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Registered trials
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