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Record W4283836518

Surgical Outcomes Following Mohs Micrographic Surgery for Basal Cell Carcinoma on the Distal Third of the Nose.

2022· article· en· W4283836518 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenuePubMed · 2022
Typearticle
Languageen
FieldMedicine
TopicReconstructive Facial Surgery Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineBasal cell carcinomaNoseSurgeryScarsSkin graftingBasal cellInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

Objective: The primary aim of this study is to determine a quantifiable difference in surgical outcomes between local skin flap, full thickness skin graft (FTSG), and secondary intention (SI) following Mohs micrographic surgery (MMS) for basal cell carcinoma (BCC) on the distal third of the nose. Methods: A retrospective chart review of 66 MMS defects on the distal third of the nose performed by a single surgeon between June 2019 to June 2020 was completed. Clinical images of MMS defects and postoperative scars at six months were recorded and measured by the Vancouver Scar Scale (VSS). Pearson Chi-square and Fisher's Exact tests were utilized to determine the relationship between the main predictor variables and VSS. Results: <0.0001) with patients treated with local skin flap having better outcomes. Conclusion: Our data illustrate that local skin flaps might result in a lower VSS at six months compared to FTSG or SI, therefore offering superior surgical outcomes in the treatment of BCC on the distal third of the nose.

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.

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)0.000
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 score0.016
Threshold uncertainty score0.403

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
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 head0.026
GPT teacher head0.233
Teacher spread0.206 · 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