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Record W2907307914 · doi:10.1371/journal.pone.0208954

LivRelief varicose veins cream in the treatment of chronic venous insufficiency of the lower limbs: A 6-week single arm pilot study

2018· article· en· W2907307914 on OpenAlexafffundabout
Heather C Dwyer, David Baranowski, Perry Mayer, Simona Gabriele

Bibliographic record

VenuePLoS ONE · 2018
Typearticle
Languageen
FieldMedicine
TopicDiagnosis and Treatment of Venous Diseases
Canadian institutionsMcMaster UniversityThe Mayer InstituteUniversity of Prince Edward IslandHamilton Health Sciences
FundersAtlantic Canada Opportunities Agency
KeywordsMedicineVaricose veinsChronic venous insufficiencyPopulationEtiologySurgeryInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Chronic Venous Disease is characterized by morphological abnormalities of the venous system. Affected limbs are classified in increasing clinical severity with the Clinical Etiological Anatomical and Pathological system from C0 to C6. Limbs assessed at C3 through C6 meet the criteria of Chronic Venous Insufficiency. Chronic Venous Insufficiency of the Lower Limbs is a very common pathology affecting approximately ~40% of the world's population. This study observes the use of the LivRelief Varicose Vein Cream, a Natural Health Product that is licensed for sale by Health Canada, for use in the treatment of varicose veins. METHODS: An open label, single arm interventional, pilot study was conducted to determine the feasibility of recruitment and data collection in this population. To accomplish this, the cream was provided to all enrolled subjects. Subsequently, objective and subjective measures were performed at baseline and after 6 weeks of at-home use. Recruitment and data collection targets of at least 70% were established and the data collected at both timepoints were compared and analyzed using a paired t-test. Results were also reported as proportions where appropriate. RESULTS: A total of 32 subjects were enrolled. The pre-defined feasibility objectives for recruitment and data collection were met with the enrolment of 97% of all screened patients and the collection of 94% of all scheduled data. The most significant therapeutic improvement was seen in the results of the Venous Clinical Severity Score where 66% of the treated legs experienced a decrease in severity after 6 weeks of treatment. P values were <0.0001 and 0.0003 for the left and right leg, respectively. CONCLUSION: It is feasible to recruit and collect data with the chosen outcome assessments within this population. Preliminary results suggest that the product could improve some of the clinical symptoms associated with the presence varicose veins. These results warrant further exploration in a longer, randomized and placebo-controlled study. TRIAL REGISTRATION: Clinicaltrial.gov: NCT03653793.

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Non-randomized triallow
gptno category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Non-randomized trialhigh
models agreeAgreement compares identical category sets and study designs across arms.

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)0.002
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: Non-randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.081
GPT teacher head0.270
Teacher spread0.189 · 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

Labeled directly by 2 models reading the full record.

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

Citations7
Published2018
Admission routes3
Has abstractyes

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