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ORIGINAL RESEARCH article
Front. Pain Res.
Sec. Non-Pharmacological Treatment of Pain
Volume 6 - 2025 | doi: 10.3389/fpain.2025.1521466
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Purpose: In previous studies, acupuncture was effective in the treatment of patients with chronic pain that was unresponsive to conventional therapies. However, the proportion of patients in a real-world setting who regain normal health after 1 year, following De-Qi acupuncture is unknown.Methods: This is an observational prospective study of 354 new patients in a family medical practice between 2015-2018. Patients self-assessed pain using the Visual Analogue Scale (VAS), and health using the Short Form 36 Health Survey (SF-36) before treatment and at 3- and 12-months of follow-up. VAS and SF-36 components were compared for improvements and therapeutic effect sizes. Propensity score matching was employed to avoid bias by confounding variables.Results: The participation rate was 29%, median age 50 years (range 20–79), 65% were females, median pain duration was 18 months (6–360), the median number of acupuncture treatments was 6 (1–27). The initial VAS pain intensity of 6.2 (SD 2.5) improved to 4.0 at 3 months and 3.2 at 12 months (p<.001, large effect size); SF-36 scores also improved. 75% of patients showed strong responses, with 58% reaching complete cure and 17% achieving near-normal health. Patients aged >65 responded well and ≥6 treatments were associated with stronger responses than 1–5. Hill criteria analysis of improvements with acupuncture suggested causation over association.Conclusion: In patients with chronic pain (median 18 months), who were unresponsive to conventional treatments, De-Qi acupuncture was associated with sustained pain reduction and health improvements. Most attained Norwegian national normal health standards (complete cure) after 12-months.
Keywords: Acupuncture, De-Qi, Chronic Pain, Theraphy Resistant, Family Practice, Full remission, Propensity score analysis (PSA), Health-related Quality of Life (HRQL)
Received: 07 Dec 2024; Accepted: 24 Mar 2025.
Copyright: © 2025 Lindberg and Baak MD PhD FICP FRCPath, FIAChon, MScTCM. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Veronika Lindberg, Department of Statistics, Lintech AS, Kristiansand, Norway
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
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