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Record W2412042766

Reduction of donor site morbidity in the radial forearm free flap by use of topical tissue expanders.

2009· article· en· W2412042766 on OpenAlexaff
Michael K. Gupta, Murray Allen, Martin Corsten

Bibliographic record

VenuePubMed · 2009
Typearticle
Languageen
FieldMedicine
TopicReconstructive Surgery and Microvascular Techniques
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsMedicineForearmSurgeryThigh
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: The objective of this study was to significantly reduce the donor site morbidity associated with use of the radial forearm free flap (RFFF). DESIGN: A pilot study to test the feasibility of topical tissue expanders to close the RFFF donor site. SETTING: The setting was a tertiary care teaching hospital. METHODS: This pilot study consisted of a series of 21 cases that used topical tissue expanders to preoperatively expand the forearm skin. This allowed primary closure of the donor site and, in some cases, closure with a full-thickness skin graft. MAIN OUTCOME MEASURE: The main outcome measure was the ability to close the RFFF donor site without the use of a partial-thickness skin graft from the lateral thigh. Secondary outcome measures were the postoperative appearance of the donor site wound and function of the forearm. RESULTS: Twenty-one cases were treated with the preoperative tissue expanders. It was possible to close the donor site without a partial-thickness skin graft from the thigh in 17 of these patients (81%). None of these patients experienced prolonged functional disability or serious complications. CONCLUSIONS: The use of preoperative topical tissue expanders has the potential to significantly improve donor site morbidity in the RFFF.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.804
Threshold uncertainty score0.197

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.032
GPT teacher head0.253
Teacher spread0.220 · 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 designOther design
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

Citations16
Published2009
Admission routes1
Has abstractyes

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