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Record W4406038065 · doi:10.1186/s40001-024-02193-9

Effect of Astragalus injection treatment for viral myocarditis: a systematic review and meta-analysis

2025· review· en· W4406038065 on OpenAlexaff
Dinala Jialiken, Lichao Qian, Shi Wu Wen, Shuai Ren, Yadong Fan, Yi Dong, Chong Zou

Bibliographic record

VenueEuropean journal of medical research · 2025
Typereview
Languageen
FieldMedicine
TopicTraditional Chinese Medicine Analysis
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsAstragalusMeta-analysisMedicineViral MyocarditisMyocarditisMEDLINEVirologyInternal medicineAlternative medicinePathologyBiologyTraditional Chinese medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Astragalus injection has been utilized in traditional Chinese medicine to treat a variety of diseases. The purpose of this systematic review was to evaluate the effectiveness of Astragalus injection in the treatment of viral myocarditis. METHODS: English databases such as PubMed, Cochrane Library, and EMBASE, and Chinese databases of Sino Med, China National Knowledge Infrastructure (CNKI), the VIP Information Resource Integration Service Platform, and Wanfang Data Information Site, were searched from their inception until May 1, 2024. The outcome measures of this study included the effectiveness rate, creatine kinase (CK), aspartate aminotransferase (AST), creatine kinase Isoenzyme (CK-MB), lactate dehydrogenase (LDH), cardiac troponin I (cTnI), and electrocardiogram (ECG). RESULTS: Twenty-six studies were included in this analysis, comprising a total of 2793 patients. Meta-analyses indicated that, compared to standard treatment alone, the Astragalus injection group demonstrated significant advantages, achieving an effectiveness rate of 92.79% (1094 cases). In contrast, the control group, which included 1108 cases, had an effectiveness rate of 77.71% (861 cases). Additionally, the Astragalus injection group exhibited the following benefits for patients affected by viral myocarditis: decreasing ∆AST [weighted mean difference (WMD) = - 14.23, 95% confidence interval (CI) (- 24.17, - 4.30), P < 0.05]; ∆CK [weighted mean difference (WMD) = - 34.84, 95% confidence interval (CI) (- 48.03, - 21.65), P < 0.05], lowering ∆CK-MB [WMD = - 7.64, 95% CI (- 9.30, - 5.99), P < 0.001], ∆cTnl [WMD = - 0.18, 95% CI (- 0.27, - 0.10), P < 0.001], ∆LDH [WMD = -41.93, 95% CI (- 55.97, - 27.90), P < 0.05], and ∆cTnI [WMD = - 0.18, 95% CI (- 0.28, - 0.08), P < 0.05]. CONCLUSION: Astragalus injection may have a therapeutic effect in patients with viral myocarditis by reducing levels of AST, CK, CK-MB, LDH, and cTnI, improving ECG results, and increasing the overall effectiveness rate for those affected by this condition. TRIAL REGISTRATION: This study registered with PROSPERO before conducting the systematic review. The registration number is CRD42021239660.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.039
metaresearch head score (Gemma)0.024
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (broad)
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.568
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0390.024
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0150.008
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.186
GPT teacher head0.508
Teacher spread0.322 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designMeta-analysis
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations4
Published2025
Admission routes1
Has abstractyes

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