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Efficacy of Intralesional Injection of Botulinum Toxin in Treatment of Keloids

2021· article· en· W3189037220 on OpenAlexaboutno aff
Toka Ahmed El Sayed, Yomna Mazid El‐Hamd Neinaa, Nashwa Naeem El Far

Bibliographic record

VenueJournal of Advances in Medicine and Medical Research · 2021
Typearticle
Languageen
FieldMedicine
TopicDermatologic Treatments and Research
Canadian institutionsnot available
Fundersnot available
KeywordsKeloidMedicineBotulinum toxinTherapeutic effectSalineClinical efficacyDermatologySurgeryAnesthesia

Abstract

fetched live from OpenAlex

Background: Keloid is generally accepted to be the result of prolonged and aberrant wound healing. Botulinum toxin injections are considered an efficient therapy for keloids. The current study evaluated the efficacy and safety of intralesional injection of botulinum toxin in treatment of keloids.
 Methods: This prospective interventional study was carried out on 20 patients presented with keloids. Patients were treated by intradermal injection at the periphery of lesions by botulinum toxin as 100 IU diluted by 2 ml normal saline (5 IU/ cm3). Vancouver Scar Scale (VSS) and Verbal Rating Scale (VRS) were used for the assessment of the therapeutic efficacy.
 Results: There was a statistically significant improvement in all VSS and VRS parameters. Vast majority, 18 (90%) patients, were satisfied and 2 (10%) patient was not satisfied. There was non-significant correlation between the age of patients, duration of keloid nor size of keloid in relation to degree of improvement of VSS after treatment. There was positive significant correlation between VSS before treatment and degree of improvement of VSS after treatment.
 Conclusions: Intralesional injection of botulinum toxin was effective and safe therapeutic techniques in inhibiting keloids regarding the statistically significant improvement on comparing between before treatment and after the end of follow up period.

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)0.002
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.711
Threshold uncertainty score0.681

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.083
GPT teacher head0.497
Teacher spread0.414 · 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".

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Citations0
Published2021
Admission routes1
Has abstractyes

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Same venueJournal of Advances in Medicine and Medical ResearchSame topicDermatologic Treatments and ResearchFrench-language works237,207