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Transcutaneous Radiofrequency-mediated Meibomian Gland Expression is an Effective Treatment for Dry Eye: A Prospective Cohort Trial

2023· article· en· W4363676746 on OpenAlexaff
Sean Paul, Alex Cohen, Kami Parsa, Edward H. Jaccoma, Kim Burrell, Jean Carruthers

Bibliographic record

VenueThe Open Ophthalmology Journal · 2023
Typearticle
Languageen
FieldMedicine
TopicOcular Surface and Contact Lens
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicineMeibomian glandOphthalmologyProspective cohort studyClinical endpointCohortTearsInternal medicineClinical trialSurgeryEyelid

Abstract

fetched live from OpenAlex

Purpose: Meibomian gland dysfunction disrupts tear film homeostasis and results in dry eye syndrome. The objective of this study is to determine whether transcutaneous radiofrequency (RF)-assisted meibomian gland expression, using the Envision platform and Forma-I handpiece is an effective treatment for dry eye syndrome. Methods: A multicenter prospective cohort study of patients with dry eye undergoing RF-assisted meibomian gland expression was completed from October 2019 to June 2022. The study was designed with multiple primary endpoints. These were defined as the change in Standard Patient Evaluation of Eye Dryness (SPEED) score, changes in Ocular Surface Disease Index (OSDI), Tear Breakup Time (TBUT), Corneal Fluorescence Score (CFS), and Meibomian Gland Score (MGS) at 1, 3, and 6 months after treatment. Secondary endpoints were measurements of patients' subjective improvement and subjective satisfaction with the treatment. Results: A total number of 47 patients were enrolled in the study at three separate institutions by three ophthalmologists (oculoplastics, refractive, and general). However, not all subjects had complete data on all observations at all time points following treatment. When a data point was missing, the entire patient’s outcome for that data set was excluded from the analysis. There was a significant improvement in SPEED score from baseline, 15.7 vs 11.4 at 1 month, 9.1 at 3 months, and 9.6 at 6 months (p<0.05). There was also a statistically significant improvement noted for OSDI at all time points measured, 34.5 at baseline vs 25.2 at 1 month, 21.2 at 3 months, and 23.6 at 6 months (p<0.5). CFS was significantly reduced in each eye at all time points following treatment as well, with 80% of eyes responding. TBUT similarly improved after treatment in each eye with an average of 6.3s at 1 month, 7.1s at 3 months, and 7.1s after treatment at 6 months vs 2.8s at baseline. The MGS also showed marked improvement across all time points, 5.6 at baseline vs 19.9 at 1 month, 24.7 at 3 months, and 22.9 at 6 months. Patients noted subjective improvement, with a lack of pain and discomfort from the treatment. Conclusion: This pilot study demonstrates that RF treatment with the Forma-I handpiece along with meibomian gland expression is an effective means to reduce the signs and symptoms of dry eye disease. The data support the conclusion that the treatment is safe and effective, lasting at least 6 months in most patients.

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)0.003
metaresearch head score (Gemma)0.003
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 score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0020.002
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 head0.036
GPT teacher head0.356
Teacher spread0.320 · 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

Citations1
Published2023
Admission routes1
Has abstractyes

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