ArticleMedicine2021
Efficacy and safety of acupuncture and moxibustion combined with the external application of traditional Chinese medicine in the treatment of primary liver cancer: A protocol for systematic review and meta-analysis.
Article in Medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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
2 citing papers in PubMed, 4 citations in OpenAlex.
- The immunotherapy mechanism of Hedyotis Diffusae Herba in treating liver cancer: a study based on network pharmacology, bioinformatics, and experimental validation.Naunyn-Schmiedeberg's archives of pharmacology · 2025Article
- Effect of rapid rehabilitation nursing on inflammation and liver function after laparoscopic radical resection of primary liver cancer.American journal of translational research · 2022Article
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 2 institutions in 3 countries.
Funding
Abstract
backgroundPrimary liver cancer (PLC) is one of the most common malignant tumors in the world, and its incidence and fatality rate are increasing year by year. Due to the large population base in China, the aging population is severely affected by environmental pollution, eating habits, and unhealthy lifestyles. And many other influences have caused the number of new PLC cases and deaths in China to rank first in the world. Acupuncture combined with external application of Chinese medicine to treat PLC is currently one of the commonly used treatments in China. However, this combined treatment still lacks evidence-based medicine support. Therefore, this systematic review and meta-analysis aims to evaluate the efficacy and safety of acupuncture combined with external application of traditional Chinese medicine in the treatment of PLC.
methodWe will search PubMed, Web of Science, GCBI, Embase, OVID, AMED, Cochrane Library, CNKI, VIP, CBM, and Wanfang databases. As of September 15, 2021, there are no restrictions on search language, publication time, and publication status. We will use the following medical keywords to search, including: "acupuncture", "external application of traditional Chinese medicine", and "primary liver cancer". At the same time, we will manually search all reference lists from relevant systematic reviews to find other eligible studies. We will use the random effects model in REVMAN v5.3 for meta-analysis. The study for acupuncture combined with Chinese herbal medicine in the treatment of PLC was a randomized controlled study. Two researchers will independently review the research selection, data extraction, and research quality assessments. Finally, we will observe the outcome measures.
resultsThis study will provide evidence-based guidance for the treatment of PLC with acupuncture and the external application of traditional Chinese medicine and offers new ideas and methods for the treatment of PLC.
Indexed as
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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.