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Record W2588565226 · doi:10.1177/1534734617690948

A Double-Blind, Placebo-Controlled Randomized Evaluation of the Effect of Low-Level Laser Therapy on Venous Leg Ulcers

2017· article· en· W2588565226 on OpenAlexaff
Julian Vitse, Farid Bekara, Stephanie Byun, Christian Herlin, Luc Téot

Bibliographic record

VenueThe International Journal of Lower Extremity Wounds · 2017
Typearticle
Languageen
FieldMedicine
TopicLaser Applications in Dentistry and Medicine
Canadian institutionsDalhousie University
Fundersnot available
KeywordsMedicinePlaceboVenous leg ulcerRandomized controlled trialLow level laser therapyAnkleSurgeryDouble blindAnesthesiaLaser therapy

Abstract

fetched live from OpenAlex

This study aimed to determine the effect of low-level laser therapy (LLLT) on chronic venous leg ulcers (VLUs). A double-blinded prospective randomized controlled trial was conducted to compare incidence of complete wound closure, ulcer size and pain reduction in patients randomized to 24 treatments of placebo or LLLT (635 nm) over 12 weeks. Patients presented with a 6-week history of VLUs ranging in size from 5 to 20 cm 2 . Venous origin was confirmed by Doppler ultrasound and an ankle brachial index of 0.8 or greater. Of 24 patients, 23% of the test group (n = 13) and 18% of placebo group (n = 11) achieved complete wound closure. At 12 weeks, patients in test and placebo groups had a mean surface area reduction of 6.26 cm 2 ( P < .0001) and 6.72 cm 2 ( P < .005), respectively, and a mean pain score decrease of 43.54 points ( P < .0001) and 25.73 points ( P = .002) respectively. Differences between groups was not statistically significant for wound closure ( P = 1.0) or ulcer size ( P = .80). Mean ulcer pain was significantly reduced from initiation of treatment compared with 4 weeks’ follow-up after 12 weeks with LLLT ( P < .01). Within the limitations of the study, LLLT may not have early effects as an adjunctive therapy to wound healing of VLUs, but LLLT may have delayed effects on VLU healing and associated pain, which requires further study.

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)0.008
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.061
Threshold uncertainty score0.311

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.056
GPT teacher head0.373
Teacher spread0.317 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations42
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueThe International Journal of Lower Extremity WoundsSame topicLaser Applications in Dentistry and MedicineFrench-language works237,207