ArticleMedicine2020
Maxingshigan decoction for treating COVID-19: 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 5 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
5 citing papers in PubMed.
- Systems pharmacology-based optimization of Ma Xing Shi Gan components for the enhanced treatment of chick health issues caused by infectious bronchitis virus.Frontiers in cellular and infection microbiology · 2025Article
- Traditional Chinese Medicine for Viral Pneumonia Therapy: Pharmacological Basis and Mechanistic Insights.International journal of biological sciences · 2025Review
- Qingfeiyin Decoction Inhibits H1N1 Virus InfectionFrontiers in pharmacology · 2022Article
- An update on drugs with therapeutic potential for SARS-CoV-2 (COVID-19) treatment.Drug resistance updates : reviews and commentaries in antimicrobial and anticancer chemotherapy · 2021Review
- Emergence of Ethnomedical COVID-19 Treatment: A Literature Review.Infection and drug resistance · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCoronavirus disease 2019 (COVID-19) is a rapidly spreading disease that has been in a public health emergency of international concern since its outbreak in 2020. Due to the complex pathogenesis and susceptibility of COVID-19, many commonly used drugs for the treatment of COVID-19 have not shown excellent clinical effects. Traditional Chinese medicine has a long clinical history of preventing and treating this respiratory infectious disease. Maxingshigan Decoction (MXSG) is widely used in China to treat COVID-19. However, there is no comprehensive and systematic evidence on the effectiveness and safety of Maxingshigan Decoction.
methodsPubMed, EMBASE, Clinical Trials, the Cochrane Library, Sino Med, and China National Knowledge Infrastructure up to September 2020. This study only screens clinical randomized controlled trials on MXSG for COVID-19 to evaluate its efficacy and safety. Data were extracted by 1 investigator and checked by an independent investigator. Review Manager 5.3 software was used for the data analysis. The dichotomous data is represented by relative risk, and the continuous is expressed by mean difference or standard mean difference, eventually the data is synthesized using a fixed effect model or a random effect model depending on whether or not heterogeneity exists.
resultsThe time from a positive diagnosis to a negative result of 2 consecutive nucleic acid tests (not on the same day), cure rate. The results of our research will be published in a peer-reviewed journal.
conclusionThe purpose of this systematic review is to provide new evidence for the effectiveness and safety of Maxingshigan decoction in the treatment of COVID-19. PROSPERO REGISTRATION NUMBER: CRD42020211962.
Indexed as
Identifiers
What Socratic 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 Socratic graph.