Evidence map›Paper›PMID 31120892›Full record

Trial reportPloS one2019

Efficacy of virtual reality to reduce chronic low back pain: Proof-of-concept of a non-pharmacological approach on pain, quality of life, neuropsychological and functional outcome.

Federica Alemanno, Elise Houdayer, Daniele Emedoli, Matteo Locatelli, Pietro Mortini, Carlo Mandelli, Alberto Raggi, Sandro Iannaccone

Registry-linked trialAbstract readClinical Trial
In one paragraph

Trial report in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05810428 (Artificial Intelligence to Predict Surgical Outcomes and Assess Pain Neuromodulation in Trigeminal Neuralgia Subjects), which is not on this map. Cited by 58 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed, 4 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.

NCT05810428 naenrolling by invitationnot on this mapstarted 2023, after this paper: background citation

Artificial Intelligence to Predict Surgical Outcomes and Assess Pain Neuromodulation in Trigeminal Neuralgia Subjects

TypeinterventionalSponsorIRCCS San RaffaeleRan2023 to 2027Enrolled50ConditionsTrigeminal Neuralgia, Trigeminal Nerve Diseases, Virtual Reality, Artificial IntelligenceArmsGKRS-VR training, Control Group
3 · Its place in the literature

Who cites it

58 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Trial
  6. Trial
  7. Trial
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article
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

8 authors.

Federica AlemannoDepartment of Rehabilitation and Functional Recovery, IRCCS San Raffaele Hospital and Vita-Salute San Raffaele University, Milan, Italy.ORCID 0000-0003-0893-2614
Elise HoudayerDepartment of Rehabilitation and Functional Recovery, IRCCS San Raffaele Hospital and Vita-Salute San Raffaele University, Milan, Italy.
Daniele EmedoliDepartment of Rehabilitation and Functional Recovery, IRCCS San Raffaele Hospital and Vita-Salute San Raffaele University, Milan, Italy.
Matteo LocatelliDepartment of Rehabilitation and Functional Recovery, IRCCS San Raffaele Hospital and Vita-Salute San Raffaele University, Milan, Italy.
Pietro MortiniDepartment of Neurosurgery and Gamma Knife Radiosurgery, IRCCS San Raffaele Hospital and Vita-Salute University, Milan, Italy.
Carlo MandelliDepartment of Neurosurgery and Gamma Knife Radiosurgery, IRCCS San Raffaele Hospital and Vita-Salute University, Milan, Italy.
Alberto RaggiUnit of Neurology, G.B. Morgagni - L. Pierantoni Hospital, Forlì, Italy.
Sandro IannacconeDepartment of Rehabilitation and Functional Recovery, IRCCS San Raffaele Hospital and Vita-Salute San Raffaele University, Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesChronic pain, such as low-back pain, can be a highly disabling condition degrading people's quality of life (QoL). Not every patient responds to pharmacological therapies, thus alternative treatments have to be developed. The chronicity of pain can lead to a somatic dysperception, meaning a mismatch between patients' own body perception and its actual physical state. Since clinical evaluation of pain relies on patients' subjective reports, a body image disruption can be associated with an incorrect pain rating inducing incorrect treatment and a possible risk of drug abuse. Our aim was to reduce chronic low-back pain through a multimodal neurorehabilitative strategy using innovative technologies to help patients regain a correct body image.

methodsTwenty patients with chronic low-back pain were included. Before and after treatment, patients underwent: a neurological exam; a neuro-psychological evaluation testing cognitive functions (memory, attention, executive functions) and personality traits, QoL and mood; pain ratings; sensorimotor functional abilities' testing. Patients underwent a 6 week-neurorehabilitative treatment (total 12 sessions) using virtual reality (VRRS system, Khymeia, Italy). Treatment consisted on teaching patients to execute correct movements with the painful body parts to regain a correct body image, based on the augmented multisensory feedback (auditory, visual) provided by the VRRS.

resultsOur data showed significant reductions in all pain rating scale scores (p<0.05); significant improvements of QoL in the domains of physical functioning, physical role functioning, bodily pain, vitality, and social role functioning; improvements in cognitive functions (p<0.05); improvements in functional scales (p<0.05) and mood (p = 0.04).

conclusionThis non-pharmacological approach was able to act on the multi-dimensional aspects of pain and improved patients' QoL, pain intensity, mood and patient's functional abilities.

Indexed as

Chronic PainExercise Movement TechniquesLow Back PainNeurological RehabilitationQuality of LifeActivities of Daily LivingAdultAffectAgedBody ImageFemaleHumansItalyMaleMiddle AgedVirtual Reality

Identifiers

PMID31120892
PMCPMC6532874

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.