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Record W2022872411 · doi:10.1002/hed.23057

Outcomes of free flap reconstruction in the elderly

2012· article· en· W2022872411 on OpenAlex
Jason A. Vaz, David W. J. Côté, Jeffrey Harris, Hadi Seikaly

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

VenueHead & Neck · 2012
Typearticle
Languageen
FieldMedicine
TopicReconstructive Surgery and Microvascular Techniques
Canadian institutionsUniversity of Alberta HospitalUniversity of Alberta
Fundersnot available
KeywordsMedicineSurgeryHead and neckFree flapRetrospective cohort studyAnastomosisCohortReconstructive surgeryGeneral surgeryInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: The reconstructive surgeon is often faced with the dilemma of offering free flap reconstruction to the elderly after surgical extirpation in the head and neck due to the perception that this population tolerates these procedures poorly. METHODS: A 42-month retrospective review of all microvascular free flap reconstruction cases from a large head and neck oncology program was reviewed. A series of 278 patients met inclusion criteria and were stratified into 2 age groups: 45 to 64.9 years (n = 177) and ≥65 years (n = 101). RESULTS: There was no significant difference in primary outcomes, anastomotic compromise (p = .36), unsalvageable flaps (p = .46), secondary outcomes, complicated recoveries (p = .29), or deaths within 30 days of surgery (p = .14) between the 2 groups. However, the length of postoperative recovery was increased in the elderly cohort (p = .029). CONCLUSIONS: Given that outcomes were similar between young and elderly patients, surgeons should not restrict the use of free flaps based on their patients' age.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.125
Threshold uncertainty score0.228

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 head0.025
GPT teacher head0.294
Teacher spread0.269 · 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