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Record W2726752367 · doi:10.1055/s-2006-949022

Thigh Fillet Flap for Pelvic Reconstruction in a Traumatic Hind-Quarter Amputation

2006· article· en· W2726752367 on OpenAlexaboutno aff
Pedro C. Cavadas

Bibliographic record

VenueJournal of Reconstructive Microsurgery · 2006
Typearticle
Languageen
FieldMedicine
TopicReconstructive Surgery and Microvascular Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAmputationThighFillet (mechanics)SurgeryQuarter (Canadian coin)Anatomy

Abstract

fetched live from OpenAlex

Traumatic hind-quarter amputation is an uncommon injury, usually associated with significant mortality due to intraabdominal associated trauma. A case of a 16-year-old male with a traumatic right hemipelvectomy was reported. The peritoneum and intraperitoneal organs were not injured. The right testis was lost and the rectum had a penetrating wound. There was also an associated open tibial fracture. Primary replantation was not considered. Although direct skin closure was possible, reconstruction of the pelvic wall was considered important to prevent postoperative pelvic hernia. A fillet flap was harvested from the amputated limb, including the rectus femoris, vastus lateralis and ALT flap, based on the lateral circumflex and common femoral vessels. The fillet flap was used to reconstruct the pelvic floor, suturing the muscular part to the abdominal muscles, the sacrum, levator ani muscle, and pubic synphysis. The free flap was revascularized end-to-end to the stump of the external iliac vessels. A temporary transverse colostomy was performed. The postoperative course was uneventful, with colostomy reversal on postoperative day 15. The patient is fully continent and is able to walk single-legged.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.010
GPT teacher head0.252
Teacher spread0.242 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
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

Citations1
Published2006
Admission routes1
Has abstractyes

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