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Record W2410090966 · doi:10.1097/dss.0000000000000458

Prospective Study of Wound Infections in Mohs Micrographic Surgery Using a Single Set of Instruments

2015· article· en· W2410090966 on OpenAlexaff
Eiman Nasseri

Bibliographic record

VenueDermatologic Surgery · 2015
Typearticle
Languageen
FieldMedicine
TopicNonmelanoma Skin Cancer Studies
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsMedicineMohs surgerySurgerySingle useInfection rateProspective cohort study

Abstract

fetched live from OpenAlex

BACKGROUND: Mohs micrographic surgery (MMS) has a low rate of surgical site infections (SSI). To date, there are variations in the measures surgeons take to prevent SSI, although these may be costly without benefit to patients. OBJECTIVE: The purpose of the study was to evaluate the rate of SSI in MMS performed with a clean technique using a single set of instruments for both tumor extirpation and reconstruction. MATERIALS AND METHODS: The author prospectively evaluated 338 patients undergoing MMS using a single set of instruments for SSI. RESULTS: There were 7 SSI among 332 patients, with an overall infection rate of 2.1% (7/332). Graft closures had an SSI rate of 3.1% (2/64) and flap closures had an SSI rate of 1.9% (5/268). CONCLUSION: Using a single set of sterile surgical instruments for both the tumor extirpation and repair stages of MMS leads to cost savings without harming patients and maintains SSI rates within an acceptable range.

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 score0.006
Threshold uncertainty score0.706

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
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 head0.130
GPT teacher head0.323
Teacher spread0.193 · 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

Citations26
Published2015
Admission routes1
Has abstractyes

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