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Record W2106369116 · doi:10.7547/8750-7315-105.1.22

Use of Hyaluronic Acid Gel Filler versus Sterile Water in the Treatment of Intractable Plantar Keratomas

2015· article· en· W2106369116 on OpenAlexaff
Magali Brousseau‐Foley, Vincent Cantin

Bibliographic record

VenueJournal of the American Podiatric Medical Association · 2015
Typearticle
Languageen
FieldMedicine
TopicCorneal Surgery and Treatments
Canadian institutionsUniversité du Québec à Trois-Rivières
Fundersnot available
KeywordsMedicineHyaluronic acidFiller (materials)Cosmetic TechniquesSurgeryDermatologyComposite materialAnatomy

Abstract

fetched live from OpenAlex

BACKGROUND: Intractable plantar keratoma is a common concern in the podiatric medical office. Different treatment options are available, ranging from trimming and padding to surgery. We sought to investigate the use of hyaluronic acid gel injections as a possible minimally invasive alternative in the treatment of intractable plantar keratomas. METHODS: Seventeen patients with intractable plantar keratomas were randomly assigned to receive a hyaluronic acid gel injection or a sterile water injection at the site of a previously trimmed plantar lesion. RESULTS: There was no significant difference between the two groups in the evaluation of pain and function at 12 weeks, but both groups showed a clinically relevant improvement. No significant change was observed in plantar tissue thickness in both groups. A minor adverse reaction was seen in the hyaluronic acid group. CONCLUSIONS: The use of a hyaluronic acid gel injection at the site of a trimmed intractable plantar keratoma did not seem more effective than the use of a sterile water injection. Sterile water injections seemed safe and efficient in reducing pain associated with plantar keratomas. Further investigations should concentrate on whether these results are reproducible in a larger sample and on the most effective sequence of treatment.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.049
Threshold uncertainty score0.187

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.046
GPT teacher head0.287
Teacher spread0.241 · 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 designObservational
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

Citations6
Published2015
Admission routes1
Has abstractyes

Explore more

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