ArticleMedicine2020
Effect of traditional Chinese medicine injections on severe pneumonia: 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 7 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
7 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.
- Efficacy of traditional Chinese medicine in treating severe pneumonia: A meta-analysis and systematic review.Medicine · 2026Pooled it
- Traditional Chinese Medicine treatment with syndrome differentiation for patients with severe community-acquired pneumonia: a multicenter, randomized, placebo-controlled trial.Journal of traditional Chinese medicine = Chung i tsa chih ying wen pan · 2025Trial
- Integrated meta-analysis, network pharmacology and experimental validation to explore the mechanism of traditional Chinese medicine against neonatal pneumonia: focus on naringenin/MAPK1.Frontiers in pediatrics · 2026Article
- Knockdown of Slfn5 alleviates lipopolysaccharide-induced pneumonia by regulating Janus kinase/signal transduction and activator of transcription pathway.Journal of thoracic disease · 2023Article
- Upregulated expression of long non-coding RNA MEG3 serves as a prognostic biomarker in severe pneumonia children and its regulatory mechanism.Bioengineered · 2021Article
- PROSPERO's systematic review protocols of traditional Chinese medicine for COVID-19: An overview.Integrative medicine research · 2021Review
- Effect of care bundles in the nursing of severe pneumonia.American journal of translational research · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTraditional Chinese medicine injections (TCMJ) used in the treatment of severe pneumonia have been widely implemented in clinical practice, but their overall efficacy and safety remain unclear. This paper aims to evaluate the efficacy and safety of TCMJ in the treatment of severe pneumonia.
methodsPubMed, EMbase, Cochrane Library, Web of Science, China National Knowledge Infrastructure, WanFang, and the Chongqing VIP Chinese Science and Technology Periodical Database were all searched for randomized controlled trials focusing on the administration of TCMJ for severe pneumonia. Two researchers independently screened titles, abstracts, full texts, and extracted relevant data. The RevMan 5.3 software (The Cochrane Collaboration, Software Update, Oxford, UK) and Stata 14 software (STATA Corporation, College Station, TX) were used for statistical analysis.
resultsThis study summarizes the related randomized controlled trials to assess the effect and safety of TCMJ in the treatment of severe pneumonia.
conclusionThis article provides theoretical support for the clinical application of TCMJ in the treatment of severe pneumonia. PROSPERO REGISTRATION NUMBER: CRD42020185072.
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.