Evidence map›Paper›PMID 40597150›Full record

ArticleChinese medicine2025

A computational-based new treatment strategy with three-armed RCT on Mycoplasma pneumoniae pneumonia in children.

Chengliang Zhong, Qingyuan Liu, Shengxuan Guo, Deyang Sun, Boyang Wang, Siyuan Hu, Xinmin Li, Weibo Zhao, Ying Ding, Bin Yuan and 9 more

Abstract read
In one paragraph

Article in Chinese medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

19 authors.

Chengliang Zhong *National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Qingyuan Liu *Institute for TCM-X, Department of Automation, Tsinghua University, Beijing, 100084, China.
Shengxuan Guo *National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Deyang Sun *Institute for TCM-X, Department of Automation, Tsinghua University, Beijing, 100084, China.
Boyang Wang *Institute for TCM-X, Department of Automation, Tsinghua University, Beijing, 100084, China.
Siyuan HuNational Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Xinmin LiNational Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Weibo ZhaoInstitute for TCM-X, Department of Automation, Tsinghua University, Beijing, 100084, China.
Ying DingThe First Affiliated Hospital of Henan University of CM, Henan, China.
Bin YuanJiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu, China.
Jing LiuNational Center for Children's Health, Beijing Children's Hospital, Capital Medical University, Beijing, China.
Long XiangChengdu Integrated TCM & Western Medicine Hospital, Chengdu First People's Hospital, Sichuan, China.
Nan LiShijiazhuang Maternal and Child Health Hospital, Hebei, China.
Zheng XueShanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai, China.
Yan LiSuzhou Hospital of Traditional Chinese Medicine, Jiangsu, China.
Yiqun TengJiaxing Second Hospital, Zhejiang, China.
Rongsong YiLiuzhou Maternity and Child Healthcare Hospital, Guangxi, China.
Shao LiInstitute for TCM-X, Department of Automation, Tsinghua University, Beijing, 100084, China. shaoli@mail.tsinghua.edu.cn.
Rong MaNational Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China. mr1974@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mycoplasma pneumoniae pneumonia (MPP) is a common type of pneumonia among school-aged children and adolescents. Jinzhen Oral Liquid (JZOL) and Azithromycin (AZ) are commonly used treatments in traditional Chinese medicine (TCM) and Western medicine, respectively. There are several clinical and basic research reports on their solo effect against MPP, enabling their combined treatment to become possible. However, the mechanisms and specific pharmacodynamics of their combined therapy remain unclear. In this study, we conducted a mechanistic analysis of the combination of JZOL and AZ based on network target, elucidating their modular network regulatory mechanisms. The modular mechanisms involve four modules, including hormone response, cell differentiation and migration, signal transduction, oxygen and hypoxia response, centered by TNF signaling pathway-mediated regulation. Under the instruction of computational analysis, we conducted a randomized, double-blind, three-armed, parallel-controlled, multicenter clinical study of different doses of JZOL combined with AZ for the treatment of MPP in children. The objective of clinical research is to evaluate the synergistic effect of different doses of JZOL combined with AZ in the treatment of children with MPP, shortening the course of disease and improving prognosis, while observing the safety of clinical application. At the study endpoint, the median time to clinical recovery showed statistically significant differences (The double-dose group lasts for 5 days, the regular-dose group lasts for 6 days, and the placebo group lasts for 8 days), which were also observed between groups for time to complete fever remission, time to relief of cough/phlegm, effective rate of chest X-ray improvement, and rate of healing of TCM symptoms. Different doses of JZOL combined with AZ have shown the effects of shortening the course of the disease, relieving the symptoms, and improving the prognosis. The research program composed of computational prediction and clinical trials can significantly accelerate the research and development process and identify more effective treatment with good safety, which is worthy of clinical promotion. Chinese Clinical Trial Registry ChiCTR1800019007.

Indexed as

AzithromycinCAP, community-acquired pneumoniaJinzhen Oral LiquidMycoplasma pneumoniae pneumoniaNetwork targetRCT clinical trial

Identifiers

PMID40597150
PMCPMC12210776

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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.