ReviewEvidence-based complementary and alternative medicine : eCAM2020
A Systematic Review and Meta-Analysis on a Disease in TCM: Astragalus Injection for Gathering Qi Depression.
Review in Evidence-based complementary and alternative medicine : eCAM, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed, 10 citations in OpenAlex.
- Study on subtyping and Traditional Chinese Medicine treatment of depression based on machine learning and text mining.Journal of traditional Chinese medicine = Chung i tsa chih ying wen pan · 2025Article
- Association of Sijunzi decoction plus chemotherapy with gastrointestinal function and serum markers in patients after gastric carcinoma surgery.World journal of gastrointestinal surgery · 2025Article
- The Astragalus Membranaceus Herb Attenuates Leukemia by Inhibiting the FLI1 Oncogene and Enhancing Anti-Tumor Immunity.International journal of molecular sciences · 2024Article
- The traditional Chinese medicines treat chronic heart failure and their main bioactive constituents and mechanisms.Acta pharmaceutica Sinica. B · 2023Review
- TCM "medicine and food homology" in the management of post-COVID disorders.Frontiers in immunology · 2023Review
- A Herbal Mixture of Sesami Semen Nigrum and Longan Arillus Induces Neurite Outgrowth in Cultured Neurons and Shows Anti-Depression in Chronic Mild Stress-Induced Rats.Evidence-based complementary and alternative medicine : eCAM · 2022Article
- Insights from the Perspective of Traditional Chinese Medicine to Elucidate Association of Lily Disease and Yin Deficiency and Internal Heat of Depression.Evidence-based complementary and alternative medicine : eCAM · 2020Review
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 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Zong Qi depression is a disease recorded in the literature of Chinese traditional medicine for a long time. In recent years, the theory of Zong Qi depression has been more and more applied to the diagnosis and treatment of a variety of diseases. Astragalus is the most important drug used to treat the depression of Zong Qi. Meanwhile, Astragalus injection is also widely used in a variety of diseases in accordance with the manifestations of Zong Qi subsidence. However, there is a lack of systematic review or meta-analysis of the clinical effect of Astragalus injection in the treatment of Zong Qi subsidence. Therefore, we searched for diseases characterized by symptoms of Zong Qi subsidence (including heart failure, respiratory failure, acute respiratory distress syndrome, and acute lung injury) and evaluated the effect of Astragalus injection in these diseases with mortality and distance of a 6-minute walking test. The results showed that the mortality of patients with subsidence of Zong Qi decreased in 1 month (OR, 0.26 [0.12, 0.61], 95% CI,
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.