PubMed Health⌕ Search
Home/Archive/PubMed

PubMed · 42744628

[Clinical efficacy and cost-effectiveness evaluation of acupoint thread-embedding for knee osteoarthritis of early to middle stage].

Wanyi Ao·Wenchun Zheng·Kaiyang Yang·Jun Hou·Gaiqin Yang·Weixun Qin
View original source ↗Export metadata ↓

Abstract

OBJECTIVE: To compare the clinical efficacy of acupoint thread-embedding and electroacupuncture for knee osteoarthritis (KOA) of early to middle stage, and to evaluate their economic benefits based on cost-effectiveness analysis. METHODS: A total of 66 patients with KOA of early to middle stage were randomized into an acupoint thread-embedding group (33 cases, 1 case dropped out) and an electroacupuncture group (33 cases, 2 cases dropped out). In the acupoint thread-embedding group, acupoint thread-embedding was applied at Xuehai (SP10), Liangqiu (ST34), Weizhong (BL40), etc.on the affected side, once a week. In the electroacupuncture group, electroacupuncture was applied at Xuehai (SP10),Liangqiu (ST34), Zusanli (SP36), etc. on the affected side, with disperse-dense wave, in frequency of 2 Hz/100 Hz, once every other day, 3 times a week. Both groups were treated for 4 weeks. The Western Ontario and McMaster Universities arthritis index(WOMAC) score was observed before and after treatment, as well as at the follow-up of 4 weeks after treatment completion,the visual analogue scale (VAS) score of pain and the Lysholm score were observed before and after treatment in the two groups. The clinical efficacy was evaluated between the two groups, and the cost-effectiveness analysis was conducted based on WOMAC score. RESULTS: After treatment, the WOMAC and pain VAS scores were decreased compared with those before treatment (P<0.001), and the Lysholm scores were increased compared with those before treatment (P<0.001) in both groups. At follow-up, the WOMAC score in the acupoint thread-embedding group was decreased compared with that before treatment (P<0.001), and was lower than that in the electroacupuncture group (P<0.05). The total effective rates were 93.8% (30/32) in the acupoint thread-embedding group and 87.1% (27/31) in the electroacupuncture group, with no statistically significant difference between the two groups (P>0.05). The cost-effectiveness ratio (CER) and the total cost of the acupoint thread-embedding group were lower than those in the electroacupuncture group. CONCLUSION: Both acupoint thread-embedding and electroacupuncture can improve knee joint function, pain and stability in patients with KOA of early to middle stage, with comparable efficacy, and the acupoint thread-embedding group shows better long-term efficacy, lower cost and higher economic benefit.

Explore related subjects

HumansOsteoarthritis, KneeAcupuncture PointsMiddle AgedCost-Benefit AnalysisFemaleCost-Effectiveness AnalysisMaleAgedTreatment OutcomeElectroacupunctureAcupuncture TherapyAdultacupoint thread-embeddingcost-effectiveness evaluationelectroacupunctureknee osteoarthritisrandomized controlled trial (RCT)Journal ArticleRandomized Controlled TrialEnglish Abstract

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Wanyi Ao, Wenchun Zheng, Kaiyang Yang, Jun Hou, Gaiqin Yang, Weixun Qin. 2026-07-23. [Clinical efficacy and cost-effectiveness evaluation of acupoint thread-embedding for knee osteoarthritis of early to middle stage].. https://doi.org/10.13703/j.0255-2930.20250304-k0003

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

PubMed2027

Global Genomic Surveillance.

Global genomic surveillance has emerged as a foundational pillar of public health in the twenty-first century, enabling real-time tracking of pathogen evolution and informing outbreak response. This chapter examines the strategic architecture of global genomic surveillance, focusing on its application to arboviruses such as chikungunya virus (CHIKV). It explores the integration of genomic data with epidemiological, clinical, and environmental information within a One Health framework, while addressing critical challenges in governance, equity, and interoperability. The discussion covers the entire genomic surveillance workflow, from sample collection and sequencing to bioinformatic analysis and phylogenetic inference, and highlights the transformative role of artificial intelligence (AI) in predictive surveillance. By analyzing global initiatives, operational barriers, and emerging technologies, this chapter underscores the necessity of sustainable, equitable, and interoperable genomic systems to proactively address current and future infectious disease threats.

Humans↗
PubMed2027

Systematic Dissection of Key Driver Perturbation Signatures in Single Cells via ECCITE-seq.

CRISPR screens, such as expanded CRISPR-compatible cellular indexing of transcriptomes and epitopes by sequencing (ECCITE-seq), enable the simultaneous measurement of transcriptomes, gRNA identity, and cell-surface protein expression at single-cell resolution to systematically interrogate gene function. This platform provides a powerful and scalable experimental approach for validating disease-associated regulators identified by large-scale association studies and other computational methods, including network-based analyses of multi-omics data. Here, as an example application, we describe an ECCITE-seq framework to characterize the transcriptomic consequences of perturbing multiple neuronal key driver genes associated with Alzheimer's disease (AD) in human-induced pluripotent stem cell (hiPSC)-derived neurons. More broadly, by integrating customized pooled gRNA libraries with different CRISPR effectors across multiple cell types, this approach allows for the assessment of the regulatory impact of candidate genes implicated in development and disease processes.

Humans↗
PubMed2027

Identification of Genome-Wide Chromatin Structural Aberration in Cancer by Hi-C Analysis.

Aberrant three-dimensional genome organization is a hallmark of cancer, often driving oncogene activation through mechanisms such as enhancer hijacking. High-throughput chromosome conformation capture (Hi-C) maps these interactions on a genome-wide scale. Unlike earlier dilution-based methods, in situ Hi-C performs proximity ligation within intact nuclei, minimizing random ligation noise and enabling fine-scale structure detection. This chapter describes an optimized in situ Hi-C protocol tailored for cancer cell lines using MboI digestion and biotin-mediated pull-down to generate high-complexity libraries. We further outline a computational workflow that extends beyond standard topological mapping of compartments and topologically associating domains to identify cancer-specific aberrations. Specifically, we focus on detecting chromosomal rearrangements (structural variants) and characterizing the distinct circular topology of extrachromosomal DNA. This integrated experimental and analytical framework provides the necessary tools to dissect the spatial dysregulation underlying tumor evolution.

Humans↗