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Record W4214580091 · doi:10.1097/gox.0000000000004001

Quantification and Further Refinement of Lateral Calcaneal Artery Flap for Complicated Heel Defect Reconstruction

2022· article· en· W4214580091 on OpenAlexaboutno aff

Bibliographic record

VenuePlastic & Reconstructive Surgery Global Open · 2022
Typearticle
Languageen
FieldMedicine
TopicReconstructive Surgery and Microvascular Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsHeelAchilles tendonPosterior tibial arteryCalcaneusArterial diseaseLower limb

Abstract

fetched live from OpenAlex

BACKGROUND: Reconstruction of posterior heel defects requires tissues with adequate blood supply, good elasticity, and sensate; because of the traumatic origin in the young population, it ends up with morbidity. The lateral calcaneal artery is the arterial supply of the lateral calcaneal artery flap. This is one of the viable choices for coverage of hind foot soft-tissue defects. The objective of this study was to determine the outcome of the lateral calcaneal artery flap in terms of function, donor site morbidity, and duration of surgery. METHOD: This was a descriptive case series. Patients with complicated heel defects of small to medium size were included. The follow-up period was 6 months to 1 year of posttreatment. Outcome measures were noted and assessed in all patients in terms of function, donor area morbidity, and total duration of surgery. Significance was determined by assessing the gait, donor site pain, physical appearance at the surgical site, and time needed for surgery. RESULTS: < 0.001). There was a near-normal gait in all patients, with a pain score of (0-2) on the visual analogue scale score, physical appearance by Vancouver scar scale score (0-3), and the mean duration of surgery was 45 ± 4.5 minutes. CONCLUSION: The lateral calcaneal artery flap is more effective for reconstruction of posterior heel and tendon Achilles defects in terms of function, donor area morbidity, and duration of surgery.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.191
Threshold uncertainty score1.000

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 studies0.0000.001
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 head0.037
GPT teacher head0.292
Teacher spread0.255 · 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.

Study designObservational
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

Citations3
Published2022
Admission routes1
Has abstractyes

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