ReviewJournal of pain research2026
Data Mining-Based Analysis of Acupoint Selection Patterns in Acupuncture Treatment for Lumbar Disc Herniation.
Review in Journal of pain research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Core Acupoints and Acupoint Combination Patterns for Acupuncture Treatment of Discogenic Low Back Pain: A Data Mining Study.Journal of pain research · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Lumbar disc herniation (LDH) poses a significant global health burden, with lifetime prevalence rates reaching 40%. While acupuncture is widely used for LDH, the heterogeneity in acupoint selection hinders the standardization of treatment protocols. This study aimed to systematically screen clinical literature and utilize data mining techniques to identify core acupoint combinations and therapeutic strategies for LDH. Methods: A comprehensive systematic search was conducted across seven electronic databases (PubMed, The Cochrane Library, Web of Science, SinoMed, CNKI, Wanfang, and VIP) from inception to January 2025. Descriptive statistics were analyzed using Microsoft Excel 2023. Association rule mining was performed via R Studio (v4.3.0, Results: A total of 537 studies were included, comprising 766 distinct acupuncture prescriptions and 149 unique acupoints. Frequency analysis showed that 13 core acupoints accounted for 74.65% of total usage, with Weizhong (BL40, 9.68%), Huantiao (GB30, 8.47%), and Dachangshu (BL25, 8.30%) being most frequently utilized. The Bladder meridian was the most frequently used channel (57.68%). Association rule analysis yielded 449 core rules, identifying the Weizhong (BL40)-Dachangshu (BL25) pair as the strongest combination (support: 42.43%). Cluster analysis delineated six distinct therapeutic strategies, with the core Bladder meridian cluster demonstrating the highest clinical significance. Neural distribution analysis indicated predominant involvement of lumbar nerves (25.72%) and the sciatic nerve complex (22.55%). Conclusion: This study presents a comprehensive data mining analysis of acupuncture for LDH. Although constrained by the heterogeneity of included studies and data limitations, the revealed core combinations provide valid quantitative evidence to support the standardization of treatment protocols and inform clinical decision-making.
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Registered trials
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