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Record W2792410282 · doi:10.1177/2292550317716121

The Keystone Flap—A Case Series Demonstrating Practical Design, Use, and Applications

2017· article· en· W2792410282 on OpenAlexaff
Stahs Pripotnev, Colin White

Bibliographic record

VenuePlastic Surgery · 2017
Typearticle
Languageen
FieldMedicine
TopicReconstructive Surgery and Microvascular Techniques
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsDehiscenceMedicineSurgeryWound dehiscence

Abstract

fetched live from OpenAlex

INTRODUCTION: The keystone design perforator island flap is a trapezoidal-shaped random perforator island flap with many advantages over primary closure, skin grafting, and other local flaps for soft tissue reconstruction commonly encountered with cancer excisions. METHODS: This case series of 39 keystone flaps in 37 patients reviews the practical design, use, and applications of the flap while highlighting certain important considerations. Keystone flaps were designed as in the original description, with a minor modification in the lower extremity where a higher flap to defect width ratio was used. RESULTS: were reconstructed in 23 males and 14 females ranging in age from 49 to 89. In all 39 cases, there were 2 minor complications of partial flap dehiscence and no major complications such as partial or complete flap loss. CONCLUSION: The keystone flap is a versatile and reliable flap with applications almost anywhere on the body. A higher ratio of flap width to defect width up to 1:3 is more appropriate for the lower extremity where tension is higher.

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)0.013
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.531
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.070
GPT teacher head0.311
Teacher spread0.241 · 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.

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

Citations9
Published2017
Admission routes1
Has abstractyes

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