Evidence map›Paper›PMID 27031099›Full record

Trial reportPloS one2016

The Effectiveness of Individualized Acupuncture Protocols in the Treatment of Gulf War Illness: A Pragmatic Randomized Clinical Trial.

Lisa Conboy, Travis Gerke, Kai-Yin Hsu, Meredith St John, Marc Goldstein, Rosa Schnyer

Registry-linked trialOpen access · goldAbstract readPragmatic Clinical TrialRandomized Controlled Trial
In one paragraph

Trial report in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01305811 (Acupuncture in the Treatment of Gulf War Illness), which is not on this map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
4.5field-weighted citation impact, top 7% 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.

NCT01305811 phase1 / phase2completednot on this map

Acupuncture in the Treatment of Gulf War Illness

TypeinterventionalSponsorNew England School of AcupunctureRan2009 to 2013Enrolled104ConditionsPersian Gulf SyndromeArmsAcupuncture
3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

  1. Pooled it
  2. Matrix Analysis of Traditional Chinese Medicine Differential Diagnoses in Gulf War Illness.Journal of alternative and complementary medicine (New York, N.Y.) · 2019
    Trial
  3. A Detoxification Intervention for Gulf War Illness: A Pilot Randomized Controlled Trial.International journal of environmental research and public health · 2019
    Trial
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Grappling with Gulf War Illness: Perspectives of Gulf War Providers.International journal of environmental research and public health · 2020
    Article
  11. Article
  12. Article
  13. Review
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

6 authors at 4 institutions in 1 country.

Lisa ConboyNew England School of Acupuncture, Newton, MA, United States of America.
Travis GerkeDepartment of Epidemiology, College of Medicine and College of Public Health and Health Professions, University of Florida, Gainesville, FL, United States of America.
Kai-Yin HsuNew England School of Acupuncture, Newton, MA, United States of America.
Meredith St JohnNew England School of Acupuncture, Newton, MA, United States of America.
Marc GoldsteinBoston Veterans Healthcare System/Jamaica Plain Campus, Boston, MA, United States of America.
Rosa SchnyerUniversity of Texas at Austin, Austin, TX, United States of America.
New England School of Acupuncture · USThe University of Texas at Austin · USUniversity of Florida · USVA Boston Healthcare System · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGulf War Illness is a Complex Medical Illness characterized by multiple symptoms, including fatigue, sleep and mood disturbances, cognitive dysfunction, and musculoskeletal pain affecting veterans of the first Gulf War. No standard of care treatment exists.

methodsThis pragmatic Randomized Clinical Trial tested the effects of individualized acupuncture treatments offered in extant acupuncture practices in the community; practitioners had at least 5 years of experience plus additional training provided by the study. Veterans with diagnosed symptoms of Gulf War Illness were randomized to either six months of biweekly acupuncture treatments (group 1, n = 52) or 2 months of waitlist followed by weekly acupuncture treatments (group 2, n = 52). Measurements were taken at baseline, 2, 4 and 6 months. The primary outcome is the SF-36 physical component scale score (SF-36P) and the secondary outcome is the McGill Pain scale.

resultsOf the 104 subjects who underwent randomization, 85 completed the protocol (82%). A clinically and statistically significant average improvement of 9.4 points (p = 0.03) in the SF-36P was observed for group 1 at month 6 compared to group 2, adjusting for baseline pain. The secondary outcome of McGill pain index produced similar results; at 6 months, group 1 was estimated to experience a reduction of approximately 3.6 points (p = 0.04) compared to group 2.

conclusionsIndividualized acupuncture treatment of sufficient dose appears to offer significant relief of physical disability and pain for veterans with Gulf War Illness. This work was supported by the Office of the Assistant Secretary of Defense for Health Affairs through the Gulf War Illness Research Program under Award No. W81XWH-09-2-0064. Opinions, interpretations, conclusions and recommendations are those of the author and are not necessarily endorsed by the Department of Defense.

trial registrationClinicalTrials.gov NCT01305811.

Indexed as

Acupuncture TherapyPrecision MedicineComputer SimulationConfidence IntervalsDemographyFemaleHumansMaleMiddle AgedModels, TheoreticalPain MeasurementPersian Gulf SyndromeSurveys and QuestionnairesTreatment Outcome

Identifiers

PMID27031099
PMCPMC4816551
OpenAlexW2325608874

What OpenQuestion holds

Textmetadata
LicenceCC0
Read underepoch 390

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.