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Record W4389547828 · doi:10.1097/sap.0000000000003703

Clinical Efficacy, Safety, and Complications of the Arthroscopic Cartilage Shaving Procedure for Secondary Osmidrosis Treatment

2023· article· en· W4389547828 on OpenAlexaboutno aff
Juo-Mei Chang, Yen-Chang Hsiao

Bibliographic record

VenueAnnals of Plastic Surgery · 2023
Typearticle
Languageen
FieldMedicine
TopicSympathectomy and Hyperhidrosis Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineApocrineSeromaScarsSurgeryCartilageWound dehiscenceDebridement (dental)AxillaDehiscenceComplicationInternal medicineBreast cancer

Abstract

fetched live from OpenAlex

BACKGROUND: Axillary osmidrosis is a common disease with negative psychosocial impact on patients. Further, many treatment modalities are not sufficient and result in recurrence. OBJECTIVE: We aimed to evaluate the effectiveness and safety of using a cartilage shaver in patients with recurrent osmidrosis to remove tightly attached apocrine glands and subdermal scars. METHODS: We retrospectively evaluated 24 patients with secondary axillary osmidrosis who underwent cartilage shaving surgery between January 2013 and May 2022. We analyzed the incidence of complications, including seroma, infection, pigmentation, wound dehiscence, skin necrosis, scarring, shoulder movement limitation, comedones/sebaceous cysts, and nerve injury. Clinical effectiveness was also evaluated. RESULTS: Excellent or good efficacy with improved malodor was achieved in 24 patients (47 axillae [100%]). Complications were observed in 16 (36.17%) axillae, including hematomas (n = 2), pigmentation (n = 7), skin necrosis (n = 3), and comedones/sebaceous cysts (n = 4); one patient (2.13%) required local debridement. Mean Vancouver Scar Scale scores were markedly low (5.41 to 4.67). Scar tissue did not interfere with the shaving surgery, allowing for successful removal of the apocrine glands. CONCLUSIONS: Secondary osmidrosis treatment using a cartilage shaver system yielded satisfactory and better scar results than the patients' previous treatments.

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)0.000
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 score0.008
Threshold uncertainty score0.359

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.137
GPT teacher head0.384
Teacher spread0.247 · 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

Citations3
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueAnnals of Plastic SurgerySame topicSympathectomy and Hyperhidrosis TreatmentsFrench-language works237,207