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Record W2065658744 · doi:10.1055/s-2008-1078697

Early Free Tissue Transfer for Extremity Reconstruction Following High-Voltage Electrical Burn Injuries

2008· article· en· W2065658744 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Reconstructive Microsurgery · 2008
Typearticle
Languageen
FieldMedicine
TopicReconstructive Surgery and Microvascular Techniques
Canadian institutionsHôtel-Dieu de MontréalCentre Hospitalier de l’Université de Montréal
Fundersnot available
KeywordsMedicineSurgeryElectrical burnFree flapAvulsionAvulsion injuryLower limbBurn injury

Abstract

fetched live from OpenAlex

We compared the effectiveness of free tissue transfer in repairing high-voltage electrical extremity injuries with conventional multistage procedures. Patients were matched for age, sex, level of injury, voltage, and burn surface area; results were compared using the paired Student T test. Free tissue transfer was performed a mean of 19.1 +/- 10.6 days after the injury occurred, and definitive wound closure and limb salvage were achieved in 87.5% of patients after a mean of 23.0 +/- 9.1 days after the injury. The overall flap survival rate was 80% (13 of 15 flaps). Three flaps failed, two of which were lower-limb flaps at the knee level used for patients with injuries to both upper and lower limbs. Both patients required upper and lower proximal ipsilateral limb amputations. One upper-extremity flap failed after pedicle avulsion 4 days after surgery, but a second free tissue transfer was successful in salvaging this limb 4 days later. The number of surgeries, time required to achieve wound closure, and length of hospitalization were all statistically significantly lower in the free flap group compared with those in the conventional treatment group.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.335
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.015
GPT teacher head0.251
Teacher spread0.237 · 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