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Record W2222638651 · doi:10.1097/won.0000000000000196

Impaired Healing of a Donor Site Following Harvest of Bone

2016· article· en· W2222638651 on OpenAlexaff
Lauren Wolfe

Bibliographic record

VenueJournal of Wound Ostomy and Continence Nursing · 2016
Typearticle
Languageen
FieldMedicine
TopicReconstructive Surgery and Microvascular Techniques
Canadian institutionsVancouver Coastal Health
Fundersnot available
KeywordsMedicineWound dehiscenceSurgeryWound careDehiscenceWound healingFibulaArterial insufficiencyVein

Abstract

fetched live from OpenAlex

BACKGROUND: A 77-year-old man with diabetes mellitus and hypertension experienced wound dehiscence and tissue necrosis following harvesting of bone from the mid-portion of his right fibula needed to create an osteofascial cutaneous graft, a free flap removing an artery and a vein to the bone-fibula and skin, via peroneal vessels. CASE: The patient experienced delayed wound healing due to multiple local and systemic factors, including possible venous insufficiency and effects related to radiation treatment to his jaw. He was referred to Home Health for wound care related to dehiscence of the surgical bone donor site. This case study describes assessment and management of this complex wound. CONCLUSION: Our experiences with this case reinforce the need for thorough assessment of both local and systemic factors when managing a complex wound. We recommend evaluation of lower extremity vascular status prior to surgery. We further recommend consideration of postoperative compression bandaging of the lower limb, after ruling out arterial insufficiency, to assist venous return. The course of wound healing in this case also suggests that the effects of radiation on wound healing are not limited to the area being radiated.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.170
Threshold uncertainty score0.277

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.011
GPT teacher head0.267
Teacher spread0.256 · 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 designBench or experimental
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

Citations0
Published2016
Admission routes1
Has abstractyes

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