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Record W1851367681 · doi:10.1016/j.jpra.2015.04.001

A novel method of pannus suspension during massive panniculectomy

2015· article· en· W1851367681 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

VenueJPRAS Open · 2015
Typearticle
Languageen
FieldMedicine
TopicBody Contouring and Surgery
Canadian institutionsUniversité de MontréalHôpital Notre-Dame
Fundersnot available
KeywordsPannusMedicineSurgeryDissection (medical)Orthopedic surgeryInternal medicine

Abstract

fetched live from OpenAlex

Morbidly obese patients are often burdened by a massive abdominal pannus that can only be addressed with a panniculectomy. However, as its size and weight increase, pannus handling during surgery becomes a real challenge for the surgeon and his/her assistants. We describe a case where we use a novel method of pannus suspension, the Spider Tenet, a limb positioner for orthopedic procedures. This device allows a stable pannus suspension throughout the procedure to facilitate incision planning, skin preparation, and retraction, as well as to increase exposure, thereby facilitating the identification and ligation of large blood vessels during dissection. The Spider Tenet has the advantage of being easy and quick to set up and operate, and it is readily covered with sterile drapes, thus decreasing the risk of contamination during a surgery. With increasing rates of obesity, we can expect that the demand for abdominal panniculectomies will rise. We introduce the use of a device that eliminates the technical challenges encountered during massive panniculectomy while reducing operative time and morbidity. More importantly, it allows the solo surgeon to carry out this procedure without additional hands other than the scrub nurse.

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 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 score0.353
Threshold uncertainty score0.374

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.082
GPT teacher head0.364
Teacher spread0.282 · 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