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Record W4205947876 · doi:10.1097/prs.0000000000005064

Reply: Adipose Tissue–Preserved Skin Graft: Applicability and Long-Term Results

2018· letter· en· W4205947876 on OpenAlexaffabout
David Chiu, Bryan Chung

Bibliographic record

VenuePlastic & Reconstructive Surgery · 2018
Typeletter
Languageen
FieldMedicine
TopicReconstructive Surgery and Microvascular Techniques
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsNoseGroinMedicineSurgeryNostril

Abstract

fetched live from OpenAlex

Sir: We would like to thank Drs. Uysal and Ertas for their considerate letter regarding our article.1 Although grafts for two of the six cases that had less than 100 percent graft take were on the nose, 33 of the grafts in this case series were on the nasal region. Incomplete graft take has not been a regular occurrence in the senior author’s experience. However, the senior author speculates that incomplete graft take for the grafts on the nose is likely attributable to increased motion/shear forces on the graft, either from motion related to breathing (such as nostril flaring), facial expression, or manipulation of the nose (e.g., blowing or scratching one’s nose). The security and compressiveness of the bolster dressing become essential for grafts in movement-prone areas to minimize shear movements as much as possible; however, even with the best of bolsters, such movements may be unavoidable in a small number of cases. With respect to donor site and graft take, the senior author has not noticed any relationship between donor site and graft take. Although grafts taken from the groin did have a higher proportion of incomplete graft take (three of 30), the size of the graft was also higher when skin was taken from the groin, with a median graft size of 10 cm2 (range, 2 to 210 cm2). The median graft size of all other donor sites was 5 cm2 (range, 0.7 to 80 cm2). The median size of grafts taken from the groin with incomplete graft take was 36 cm2 (range, 5 to 210 cm2). Larger defects require larger grafts, and the groin donor site becomes the preferred site in these scenarios because of (1) easy accessibility, (2) excellent scar concealment, and (3) a relatively large abundance of skin availability that can be harvested without complication. However, although it appears that there is a relationship between the groin donor site and graft take, this relationship is likely accounted for by the fact that the risk of incomplete take increases as graft size increases and that the groin is preferentially selected for larger defects as the donor site. DISCLOSURE The authors have no financial interest to disclose. David T. W. Chiu, M.D.Department of Plastic SurgeryNew York University Langone Medical CenterNew York, N.Y. Bryan Chung, M.D., Ph.D.Department of SurgeryUniversity of British ColumbiaVancouver, British Columbia, Canada

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)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesMeta-epidemiology (narrow), Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.456
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.001
Science and technology studies0.0000.003
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0010.000

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 head0.022
GPT teacher head0.260
Teacher spread0.238 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations2
Published2018
Admission routes2
Has abstractyes

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