Evidence map›Paper›PMID 35380733›Full record

SynthesisPain medicine (Malden, Mass.)2022

Acupuncture Therapy as an Evidence-Based Nonpharmacologic Strategy for Comprehensive Acute Pain Care: The Academic Consortium Pain Task Force White Paper Update.

Arya Nielsen, Jeffery A Dusek, Lisa Taylor-Swanson, Heather Tick

Registry-linked trialOpen access · hybridAbstract readMeta-AnalysisReviewConsensus Statement
In one paragraph

Synthesis in Pain medicine (Malden, Mass.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07406711 (Randomized Controlled Trial on the Effectiveness of a Multidisciplinary Biopsychosocial Program vs Multimodal Treatment in Patients With Chronic Low Back Pain), which is not on this map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 1 pooled it
18.5field-weighted citation impact, top 1% of its field
1 · What the graph read from it

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.

2 · The registry

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.

NCT07406711 nacompletednot on this map

Randomized Controlled Trial on the Effectiveness of a Multidisciplinary Biopsychosocial Program vs Multimodal Treatment in Patients With Chronic Low Back Pain

TypeinterventionalSponsorOsijek University HospitalRan2021 to 2023Enrolled128ConditionsChronic Low Back Pain, Multidisciplinary Biopsychosocial Program, Quality of LifeArmsFour-week program including group and individual therapy with a multidisciplinary team.Sessions included educational lectures, physical therapy, and multimodal interventions., Multimodal treatment. Four-week program including: TENS, Therapeutic ultrasound, Magnetotherapy, Acupuncture. Participants continued their usual prescribed medications.
3 · Its place in the literature

Who cites it

37 citing papers in PubMed, 1 synthesis or guideline pooled it, 65 citations in OpenAlex.

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  11. The energy resistance principle.Cell metabolism · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 4 institutions in 1 country.

Arya NielsenDepartment of Family Medicine & Community Health, Icahn School of Medicine at Mount Sinai, New York, New York.ORCID 0000-0003-3370-9123
Jeffery A DusekUniversity Hospitals, Connor Whole Health, Cleveland Medical Center, Cleveland, Ohio.ORCID 0000-0001-9581-0564
Lisa Taylor-SwansonUniversity of Utah College of Nursing, Salt Lake City, Utah.
Heather TickDepartment of Family Medicine, and Anesthesiology & Pain Medicine, University of Washington School of Medicine, Seattle, Washington, USA.
Icahn School of Medicine at Mount Sinai · USUniversity Hospitals of Cleveland · USUniversity of Utah · USUniversity of Washington · US

Funding

Acupuncture in the Emergency Department for Pain Management: A BraveNet Multi-Center Feasibility StudyR01AT010598 · NCCIH · CASE WESTERN RESERVE UNIVERSITY · PI DUSEK, JEFFERY A, FARYAR, KIRAN ANN · 2021 to 2022
$1.3M
NCCIH NIH HHS R01 AT010598
6 · The paper itself

Abstract

backgroundA crisis in pain management persists, as does the epidemic of opioid overdose deaths, addiction, and diversion. Pain medicine is meeting these challenges by returning to its origins: the Bonica model of multidisciplinary pain care. The 2018 Academic Consortium White Paper detailed the historical context and magnitude of the pain crisis and the evidence base for nonpharmacologic strategies. More than 50% of chronic opioid use begins in the acute pain care setting. Acupuncture may be able to reduce this risk.

objectiveThis article updates the evidence base for acupuncture therapy for acute pain with a review of systematic reviews and meta-analyses on postsurgical/perioperative pain with opioid sparing and acute nonsurgical/trauma pain, including acute pain in the emergency department.

methodsTo update reviews cited in the 2018 White Paper, electronic searches were conducted in PubMed, MEDLINE, CINAHL, and the Cochrane Central Register of Controlled Trials for "acupuncture" and "acupuncture therapy" and "acute pain," "surgery," "peri-operative," "trauma," "emergency department," "urgent care," "review(s) ," "systematic review," "meta-analysis," with additional manual review of titles, links, and reference lists.

resultsThere are 22 systematic reviews, 17 with meta-analyses of acupuncture in acute pain settings, and a review for acute pain in the intensive care unit. There are additional studies of acupuncture in acute pain settings.

conclusionThe majority of reviews found acupuncture therapy to be an efficacious strategy for acute pain, with potential to avoid or reduce opioid reliance. Future multicenter trials are needed to clarify the dosage and generalizability of acupuncture for acute pain in the emergency department. With an extremely low risk profile, acupuncture therapy is an important strategy in comprehensive acute pain care.

Indexed as

Acupuncture TherapyAcute PainAnalgesics, OpioidHumansPain ManagementPostoperative PainSystematic Reviews as TopicAnalgesics, Opioid

Identifiers

PMID35380733
PMCPMC9434305
OpenAlexW4226043683

What OpenQuestion holds

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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.