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A new option in pain prevention with bliss, a therapeutic virtual reality solution in bone marrow biopsy context: Results of a French open-label multicenter randomized phase II/III study (REVEH Trial).

2021· article· en· W3170567207 on OpenAlexaff
Katell Le Dû, Anne-Lise Septans, Frédéric Maloisel, H. Vanquaethem, Anna Schmitt, Marielle Le Goff, Marie Pierre Moles, M. Zinger, Hugues Bourgeois, Mélanie Peron, Fabrice Denis, Stéphane Bouchard

Bibliographic record

VenueJournal of Clinical Oncology · 2021
Typearticle
Languageen
FieldMedicine
TopicHematological disorders and diagnostics
Canadian institutionsUniversité du Québec en Outaouais
FundersRoche
KeywordsMedicineRandomized controlled trialBiopsyVisual analogue scaleContext (archaeology)SurgeryRadiology

Abstract

fetched live from OpenAlex

6573 Background: The prevention of care-induced pain is a central concern for all healthcare teams in hematology units. Use of MEOPA (Oxygen + Nitrous Oxide) is today a standard of care for relaxation procedure. Distraction through immersion in virtual reality (VR) has already documented its analgesic effects in several phase II trials but comparison with standard treatments in a large randomized study is needed. Methods: We conducted an open-label multicenter randomized phase III trial (ClinicalTrials.gov identifier: NCT03483194). We assessed the safety and efficacy of a new therapeutic virtual reality solution for pain distraction, Bliss, in prevention of pain and anxiety before performing a bone marrow biopsy. Bliss is a VR software with four imaginary interactive environments in three dimensions with binaural sound (head-mounted display). Efficacy was evaluated by pain intensity with visual analog scale (score from 0 to 10) just after the biopsy and anxiety by 2 questionnaires (fear of pain before the biopsy and revised STAI questionnaire before and after the biopsy). The primary end point was patient-assessed pain intensity after the bone marrow procedure. Results: A total of 126 patients were enrolled with previously untreated malignant hemopathy between September 6, 2018 and May 18, 2020. They were randomly assigned in a 1:1 ratio to receive pain prevention with MEOPA (n=63) or Bliss (n=63) before and during their bone marrow biopsy. All patients received a local anesthesia with lidocaïne before the biopsy. Median age of the study population was 65.5 years old (range 18 to 87) and 54,2% were men. The average pain intensity was 3.5 (standard deviation 2.6) for the MEOPA group and 3.0 (SD 2.4) for the VR group (p=0,26) without any significant difference according to age, gender or hemopathy. Concerning anxiety, 67.5% of patients were afraid before the biopsy and anxiety scores were moderate to very high in 26.3% of patients before the biopsy (STAI questionnaire) and 9.0% after the biopsy for all patients (17.3% of reduction in anxiety for the MEOPA group and 17.2% for the VR group, p=0.83). Immersion in VR was well tolerated in 100% of patients included in the VR group. Physicans were very satisfied by the relaxation procedure in 64.9% of cases (52.5% in the MEOPA group and 77.6% in the VR group, p=0.01) and recommended re-use of the technique in 54.2% in the MEOPA group and 79,1% in the VR group (p=0.02). Conclusion: The intensity of pain did not significantly differ in both arms. Bliss-based relaxation method was well tolerated and the satisfaction of patients and physicians was very high in VR group. This study validates the use of immersion in VR with Bliss as a new digital therapeutics and support the integration of the software in the panel of supportive care. Key words: virtual reality, bone marrow biopsy, pain. Clinical trial information: 03483194.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.021
metaresearch head score (Gemma)0.035
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.122
Threshold uncertainty score0.973

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0210.035
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.199
GPT teacher head0.493
Teacher spread0.295 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designRandomized trial
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2021
Admission routes1
Has abstractyes

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