SynthesisChinese journal of integrative medicine2020
Tanreqing Injection () for Patients with Influenza: A Systematic Review and Meta-analysis of Randomized Controlled Trials.
Synthesis in Chinese journal of integrative medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.
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, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.
- Traditional Chinese Medicine Injections Combined With Oseltamivir for Influenza: Systematic Review and Network Meta-Analysis.Frontiers in pharmacology · 2022Pooled it
- Effects of Tanreqing Injection on ICU Mortality among ICU Patients Receiving Mechanical Ventilation: Time-Dependent Cox Regression Analysis of A Large Registry.Chinese journal of integrative medicine · 2023Article
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 at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo systematically evaluate the efficacy and safety of Tanreqing Injection (, TRQI) combined with conventional treatment on clinical outcomes in the treatment of patients with influenza.
methodsThe electronic databases searched were Cochrane Central Register of Controlled Trials (CENTRAL, The Cochrane Library), MEDLINE (PubMed), EMbase (OvidSP), Chinese Bio-medical Literature and Retrieval System (Sinomed), China National Knowledge Infrastructure Database (CNKI), China Science and Technology Journal Database (VIP) and WanFang Data Knowledge Service Platform, and we checked the reference sections of the retrieved articles as well. The search was performed in October 2018, and we used the randomized controlled trials (RCTs) that corresponded to the new diagnostic criteria for influenza. Two review authors independently screened the internalized articles in accordance with the Preferred Reporting Items for Systematic review and Meta-Analysis (PRISMA) statement checklist. We evaluated the quality of the articles and extracted the data from the studies using the Revmen5.3 software.
resultsWe included 12 RCTs of over 882 cases in this meta-analysis. Compared to conventional treatment, TRQI combined with conventional treatment could increase the total effective rate [9 RCTs, n=648, odds ratio (OR): 4.92, 95% confidence interval (CI): 2.94, 8.24, P<0.0001, random effects model], decrease the average time for fever clearance [7 RCTs, n=564, mean difference (MD): -1.08, 95% CI: -1.68, -0.48, P=0.0004, random effects model] and decrease the time for resolution of cough (5 RCTs, n=362, MD: -1.76, 95% CI: -2.63, -0.90, P<0.0001, random effects model).
conclusionBased on this meta-analysis of RCTs, TRQI combined with conventional treatment had a statistically significant benefit in increasing the total effective treatment rate and reducing the time for fever clearance as well as time for resolution of cough.
Indexed as
Identifiers
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.