Evidence map›Paper›PMID 23088743›Full record

ArticleThe EPMA journal2012

Evidence-based pain management: is the concept of integrative medicine applicable?

Rostyslav V Bubnov

Registry-linked trialAbstract read
In one paragraph

Article in The EPMA journal, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04089228 (Effects of Kinesio Taping on Upper Trapezius Trigger Points After Integrated Neuromuscular Inhibition Technique), which is not on this map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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.

NCT04089228 nacompletednot on this mapstarted 2019, after this paper: background citation

Effects of Kinesio Taping on Upper Trapezius Trigger Points After Integrated Neuromuscular Inhibition Technique (INIT)

TypeinterventionalSponsorRiphah International UniversityRan2019 to 2019Enrolled26ConditionsTrigger PointsArmsKinesiotaping, Integrated Neuromuscular Inhibition Technique
3 · Its place in the literature

Who cites it

27 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

1 author.

Rostyslav V BubnovThe Centre of Ultrasound Diagnostics and Interventional Sonography, Clinical Hospital 'Pheophania' of State Affairs Department, Zabolotny str,, 21, Kyiv, 03680, Ukraine. rostbubnov@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article is dedicated to the concept of predictive, preventive, and personalized (integrative) medicine beneficial and applicable to advance pain management, overviews recent insights, and discusses novel minimally invasive tools, performed under ultrasound guidance, enhanced by model-guided approach in the field of musculoskeletal pain and neuromuscular diseases. The complexity of pain emergence and regression demands intellectual-, image-guided techniques personally specified to the patient. For personalized approach, the combination of the modalities of ultrasound, EMG, MRI, PET, and SPECT gives new opportunities to experimental and clinical studies. Neuromuscular imaging should be crucial for emergence of studies concerning advanced neuroimaging technologies to predict movement disorders, postural imbalance with integrated application of imaging, and functional modalities for rehabilitation and pain management. Scientific results should initiate evidence-based preventive movement programs in sport medicine rehabilitation. Traditional medicine and mathematical analytical approaches and education challenges are discussed in this review. The physiological management of exactly assessed pathological condition, particularly in movement disorders, requires participative medical approach to gain harmonized and sustainable effect.

Identifiers

PMID23088743
PMCPMC3533862

What OpenQuestion holds

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LicenceCC BY
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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.