Trial reportAcupuncture in medicine : journal of the British Medical Acupuncture Society2022
Cost-effectiveness analysis of acupuncture compared with usual care for acute non-specific low back pain: secondary analysis of a randomised controlled trial.
Trial report in Acupuncture in medicine : journal of the British Medical Acupuncture Society, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01439412 (Acupuncture in Acute Nonspecific Low Back Pain; a Randomized Controlled Multicenter Study in General Practice), which is not on this map. Cited by 5 papers.
What it found
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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.
Acupuncture in Acute Nonspecific Low Back Pain; a Randomized Controlled Multicenter Study in General Practice
Who cites it
5 citing papers in PubMed, 8 citations in OpenAlex.
- Trends in acupuncture billing by a large commercial insurer.The American journal of managed care · 2026Article
- A cost-utility analysis of pharmacopuncture versus physiotherapy for chronic low back pain: A multicenter, pragmatic randomized controlled trial.Integrative medicine research · 2025Article
- Pain, Progress, and Price: A Review of Conservative and Complementary Treatments for Low Back Pain.Journal of pain research · 2025Review
- Recent advances in acupuncture for pain relief.Pain reports · 2024Article
- Acupuncture as multi-targeted therapy for the multifactorial disease obesity: a complex neuro-endocrine-immune interplay.Frontiers in endocrinology · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo assess the cost-effectiveness of a single treatment session of acupuncture, when applied in addition to usual care for acute low back pain (ALBP).
methodsSecondary analysis of a multicentre randomised controlled trial in Norwegian general practice. In total, 171 participants with ALBP ⩽14 days were randomised to a control group (CG) receiving usual care or to an acupuncture group (AG) receiving one additional session of Western medical acupuncture alongside usual care. Primary outcome measures for this cost-effectiveness analysis were quality-adjusted life years (QALYs), health care costs and societal costs at days 28 and 365, the incremental cost-effectiveness ratio (ICER) and net monetary benefit (NMB). The NMB was calculated on the basis of the Norwegian cost-effectiveness threshold of NOK 275,000 (USD 35,628) per QALY gained. Missing data were replaced by multiple chained imputation.
resultsEighty-six participants in the CG and 81 in the AG were included in the analysis. We found no QALY gain at day 28. At day 365, the incremental QALY of 0.035 was statistically significant. The differences in health care costs and societal costs were not statistically significant. Three out of four calculations led to negative ICERs (cost saving) and positive NMBs. For the health care perspective at day 365, the ICER was USD -568 per QALY and the NMB was USD 1265, with 95.9% probability of acupuncture being cost-effective.
conclusionTo our knowledge, this is the first cost-effectiveness analysis of acupuncture for ALBP. The findings indicate that acupuncture may be cost-effective from a 1-year perspective, but more studies are needed. TRIAL REGISTRATION NUMBER: NCT01439412 (ClinicalTrials.gov).
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.