Data Mining-Based Analysis of Acupoint Selection Patterns in Acupuncture Treatment for Lumbar Disc Herniation

Zheng et al. · Journal of Pain Research · 2026

📊Data Mining Analysis📚n=537 studies analyzedHigh Clinical Impact

Evidence Level

MODERATE
78/ 100
Quality
4/5
Sample
5/5
Replication
4/5
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OBJECTIVE

To identify acupuncture point selection patterns and combinations for the treatment of lumbar disc herniation through data mining techniques

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WHO

537 studies analyzed, encompassing 766 distinct acupuncture prescriptions

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DURATION

Systematic review of literature from 2010 to 2025

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POINTS

149 unique acupoints identified, with 13 main points representing 74.65% of total use

🔬 Study Design

537participants
randomization

Included studies

n=537

Analysis of acupuncture prescriptions for lumbar disc herniation

⏱️ Duration: Retrospective analysis of 15 years of literature

📊 Results in numbers

13 points (74.65% of use)

Main acupoints identified

0%

Bladder Meridian — dominant use

449 rules

Association rules identified

0%

Weizhong (BL-40) — most used point

Percentage highlights

57.68%
Bladder Meridian — dominant use
9.68%
Weizhong (BL-40) — most used point

📊 Outcome Comparison

Frequency of use by meridian

Bladder Meridian
57.68
Gallbladder Meridian
26.05
Governor Vessel
7.72
💬 What does this mean for you?

This study analyzed hundreds of research papers on acupuncture for lumbar disc herniation and discovered that there is a clear pattern in point selection. The most effective and commonly used points by acupuncturists are mainly on the Bladder and Gallbladder meridians, especially Weizhong, Huantiao, and Dachangshu, providing a scientific basis for standardized treatments.

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Article summary

Plain-language narrative summary

This pioneering study represents the first comprehensive data mining analysis of acupoint selection patterns in the treatment of lumbar disc herniation (LDH). The researchers conducted a systematic review of seven electronic databases, analyzing 537 studies that documented 766 distinct acupuncture prescriptions and 149 unique acupoints. The methodology included frequency analysis, association rule mining using the Apriori algorithm, hierarchical cluster analysis, and neural distribution analysis. The results revealed notable patterns in point selection.

Thirteen main acupoints accounted for 74.65% of all clinical use, with Weizhong (BL-40) being the most frequent (9.68%), followed by Huantiao (GB-30, 8.47%) and Dachangshu (BL-25, 8.30%). The Bladder Meridian dominated with 57.68% of total frequency, followed by the Gallbladder Meridian with 26.05%. This predominance reflects the classical principle that 'where the meridian passes, the disorder can be treated,' since these meridians correspond anatomically to the distribution of the sciatic nerve. Association rule analysis identified 449 main rules, highlighting combinations such as Weizhong-Dachangshu with high reliability (64.74%).

Cluster analysis revealed six distinct therapeutic strategies: constitutional strengthening, Gallbladder Meridian strategy, posterior leg and paravertebral approach, liver and anterior leg regulation, central Bladder Meridian strategy, and Governor Vessel and Kidney strengthening. Neural distribution analysis showed predominant involvement of the lumbar nerves (25.72%) and sciatic nerve complex (22.55%), demonstrating logical neuroanatomic correspondence. The study bridges traditional Chinese theory with modern neuroanatomic understanding, providing the first quantitative basis for acupoint selection in LDH. Limitations include heterogeneity of included studies, inability to assess specific treatment parameters, and inability to establish definitive causality between point combinations and clinical outcomes.

Future research should focus on validating the efficacy of identified combinations through well-designed randomized controlled trials.

Strengths

  • 1First comprehensive data mining analysis for acupoint selection in lumbar disc herniation
  • 2Large volume of data analyzed (537 studies, 766 prescriptions)
  • 3Robust methodology with multiple analytical techniques
  • 4Clear correspondence between traditional theory and modern neuroanatomy
  • 5Identification of evidence-based clinical consensus patterns
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Limitations

  • 1Heterogeneity of included studies may affect reliability
  • 2Inability to assess specific treatment parameters
  • 3Does not establish causality between combinations and clinical outcomes
  • 4Absence of systematic methodologic quality assessment
  • 5Possible publication bias in included literature
Dr. Marcus Yu Bin Pai

Expert Commentary

Dr. Marcus Yu Bin Pai

MD, PhD · Pain Medicine · Physical Medicine and Rehabilitation · Medical Acupuncture

Clinical Relevance

Lumbar disc herniation continues to be one of the most prevalent conditions in pain and rehabilitation services, and acupuncture already holds a consolidated place in the multimodal therapeutic arsenal for these patients. What this work adds concretely is a quantitative basis for acupoint selection — something that previously depended almost exclusively on tradition or the physician's individual preference. By identifying 13 points responsible for 74.65% of clinical use across 766 analyzed prescriptions, the study offers a consensus map derived from real evidence. This has direct application in two frequent scenarios: the patient with acute lumbosciatica who cannot yet tolerate intensive physical therapy, and the chronic patient in whom first-line analgesics have already been exhausted. Having an empirically backed point selection facilitates decision-making and allows the structuring of reproducible protocols within rehabilitation services.

Notable Findings

The predominance of the Bladder Meridian, with 57.68% of total frequency, takes on additional meaning when overlaid on neuroanatomy: this meridian runs parallel to the sciatic nerve trajectory and lumbar nerve roots, which explains its recurrence in LDH with radicular component. The association rule analysis, with 449 rules identified, is the most operational finding of the study — the combination of Weizhong (BL-40) with Dachangshu (BL-25) showed reliability of 64.74%, which represents a prescription core with a robust empirical basis. The cluster analysis revealing six distinct therapeutic strategies is especially useful: it allows the physician to choose the approach according to the dominant clinical pattern, whether a profile of constitutional insufficiency, predominantly sciatic radiculopathy, or compromise of the anterior thigh compartment. The identified neural correspondence — lumbar nerves at 25.72% and sciatic complex at 22.55% — closes the argument that the millennia-old empirical selection anticipated what modern neuroanatomy formalized.

From My Experience

In my practice at the Pain Center, lumbosciatica from LDH is probably the indication for which I most use acupuncture as an adjunct, and the pattern that Zheng et al. describe reproduces well what I usually prescribe empirically. I have observed perceptible analgesic response as early as the first three to four sessions, especially in the radiating component — the patient often reports improvement of paresthesia even before the axial pain. In subacute cases, I usually work with cycles of eight to ten sessions, then assess the need for biweekly or monthly maintenance. I almost always combine it with lumbar stabilization exercise and, when there is an acute inflammatory component, I keep an NSAID for short term in parallel. Weizhong is my standard entry point in any low back pain with posterior irradiation — its location at the center of the popliteal rhombus, over the tibial nerve, produces reliable De Qi and a rapid response. I do not indicate acupuncture alone when there is progressive motor deficit or cauda equina syndrome — in those cases surgical referral prevails without hesitation.

PhD in Health Sciences, University of São Paulo. Board-certified in Pain Medicine, Physical Medicine and Rehabilitation, and Medical Acupuncture.

Full original article

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Journal of Pain Research · 2026

DOI: 10.2147/JPR.S576514

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Scientific Review

Marcus Yu Bin Pai, MD, PhD

Marcus Yu Bin Pai, MD, PhD

CRM-SP: 158074 | RQE: 65523 · 65524 · 655241

PhD in Health Sciences, University of São Paulo. Board-certified in Pain Medicine, Physical Medicine and Rehabilitation, and Medical Acupuncture. Scientific review and curation of every entry in this library.

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Medical disclaimer: This content is for educational purposes only and does not replace consultation, diagnosis, or treatment by a qualified professional. Some information may be assisted by artificial intelligence and is subject to inaccuracies. Always consult a physician.

Content reviewed by the medical team at CEIMEC — Integrated Centre for Chinese Medicine Studies, a reference in Medical Acupuncture for over 30 years.