Efficacy and safety of Lianhua Qingwen combined with conventional antiviral Western Medicine in the treatment of coronavirus disease (covid-19) in 2019
Bibliographic record
Abstract
BACKGROUND: The novel coronavirus pneumonia (COVID-19) has spread to >200 countries and regions. There is no effective antiviral drug for COVID-19. Traditional Chinese medicine, such as Lianhua Qingwen, has achieved some curative effect in many countries, but its effect is not clear. We aim to assess the efficacy and safety of Lianhua Qingwen combined with Conventional antiviral Western Medicine in Clinical treatment of COVID-19 or asymptomatic infection. METHODS: The following electronic bibliographic databases will be searched to identify relevant studies: CNKI, CBM, VIP and Wanfang databases, PubMed, EMBASE, MEDLINE, Cochrane central, and clinical trial registration centers, such as China Clinical Trial Registration Center (ChiCTR), Netherlands National Trial Registration Center (NTR) and clinical trials.gov. In addition, Manual retrieval of articles, conference papers, ongoing experiments, internal reports, among others, to supplement electronic retrieval. Select all eligible studies published before May 8, 2020.According to the Cochrane Handbook "bias risk" assessment tool, bias risk is independently assessed. The independent Newcastle Ottawa scale was used to conduct methodological quality assessment of nonrandomized trials. STATA15.1 and RevMan5.3 software were used to analyze meta outcomes of different intervention measures for the treatment of new crown pneumonia and the control group (conventional antiviral western medicine treatment) clinical efficacy. RESULTS: This study will provide a relatively high-quality synthesis of current evidence of Lianhua Qingwen combined with Conventional antiviral Western Medicine in the treatment of COVID-19 from several aspects including the Clinical effective rate, CT improvement rate, severe conversion rate, antipyretic time, disappearance rate of fever symptoms, disappearance rate of cough symptoms, disappearance rate of asthenia symptoms, and adverse drug events. CONCLUSION: The conclusion of this review will provide evidence to judge whether Lianhua Qingwen combined with Conventional antiviral Western Medicine is an effective and safe intervention for COVID-19. ETHICS AND DISSEMINATION: This systemic review will evaluate the efficacy and safety of Lianhua Qingwen combined with Conventional antiviral Western Medicine in the treatment of COVID-19. Since all the data included are published, the systematic review does not need ethical approval. INPLASY REGISTRATION NUMBER: INPLASY202060067.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".