ReviewMedicine2025
Network pharmacology predicts targets and pathways of herbal components for the treatment of pneumonia: A review.
Review in Medicine, 2025. 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.
- 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
- Article
- Advances in the treatment of recurrent aphthous stomatitis: from synthetic and natural drugs to novel drug delivery systems.Frontiers in pharmacology · 2026Review
- AI driven network pharmacology: Multi-scale mechanisms of traditional Chinese medicine from molecular to patient analysis.Computational and structural biotechnology journal · 2025Review
- Advancements in alternative approaches to address antimicrobial resistance in bacterial pneumonia: a comprehensive review.Frontiers in microbiology · 2025Review
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
Abstract
Pneumonia is a respiratory disease with high pathogenicity and mortality. Traditional Chinese medicine (TCM) is a natural therapy that has proven effectiveness and safety. Although TCM has been found to be effective in treating pneumonia, further research is needed to determine the specific mechanism of action. This paper presents a literature search conducted in PubMed, Web of Science, and China National Knowledge Infrastructure (CNKI) databases using the keywords "pneumonia" and "network pharmacology." After screening, we retained the literature related to TCM. The study found that, according to network pharmacology prediction, 4 types of TCMs-natural active compounds, single herb medicine, Chinese patent medicines, and multi-component herbal formulations-were effective in treating pneumonia. TCM components demonstrated a multi-target and multi-pathway approach to treat the disease. The diversity of targets and signaling pathways not only facilitates the investigation of TCM's mechanism of action of TCM in pneumonia treatment but also offers novel insights and perspectives for innovative drug research and development.
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.