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Record W2594615497 · doi:10.5935/0946-5448.20170003

Pilot Investigation of a Topographical Filter Dermal Patch in Patients with Tinnitus

2017· article· en· W2594615497 on OpenAlexaff
Peter Åhnblad

Bibliographic record

VenueThe International Tinnitus Journal · 2017
Typearticle
Languageen
FieldNeuroscience
TopicHearing, Cochlea, Tinnitus, Genetics
Canadian institutionsSickKids Foundation
Fundersnot available
KeywordsTinnitusMedicineVisual analogue scaleQuality of life (healthcare)AudiologyPhysical therapy

Abstract

fetched live from OpenAlex

OBJECTIVES: A new topographical filter in a dermal administration patch that organizes water molecules has been suggested as an alternative treatment for manifested tinnitus. The aim of this study was to evaluate this patch in a pilot study. MATERIALS AND METHODS: 12 patients were included (10 completed) in an open study all receiving treatment with daily changed patches. The objectives were to evaluate safety and performance of the patch during and after treatment. The primary objective was to evaluate the tinnitus severity (by Tinnitus Severity Questionnaire, TSQ) and tinnitus annoyance (by Visual Analogue Scale, VAS). The secondary objective was to evaluate if the patch could improve the patient's quality of life (by SF-36 Quality of life questionnaire) and sleep initiation time (self-rated). RESULTS: At visit 4, after 21 days of treatment, an improvement (decrease in TSQ score) was seen in 5 responder patients, which was sustained at the post-treatment visit. A marginal increase in TSQ score was seen also initially in 5 non-responder patients, 4 of which were responders post-treatment. The rated tinnitus annoyance, quality of life and sleep initiation time did not show significant changes. The safety evaluation did not present any safety concerns. CONCLUSION: This small pilot study indicates that it can be reasonable to recommend on a risk-benefit and safety perspective treatment with the dermal patch to patients with tinnitus as a consumer product based on the lack of other effective alternative treatment. Further and larger studies, and also proven experience, are recommended for stronger evidence.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.053
GPT teacher head0.281
Teacher spread0.228 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNon-randomized 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
Published2017
Admission routes1
Has abstractyes

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