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Record W2921369567 · doi:10.1177/1558944719834643

Fowler Central Slip Tenotomy or Spiral Oblique Retinacular Ligament Reconstruction? A Cadaveric Biomechanical Study in Swan-Neck Deformity

2019· article· en· W2921369567 on OpenAlex
Christian Deml, Aslan Baradaran, Neal C. Chen, Michael Nasr, Amir Reza Kachooei

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

VenueHand · 2019
Typearticle
Languageen
FieldMedicine
TopicOrthopedic Surgery and Rehabilitation
Canadian institutionsMcGill University
Fundersnot available
KeywordsMedicineTenotomyMalletDeformityInterphalangeal JointCadaveric spasmCadaverLigamentAnatomySurgeryTendon

Abstract

fetched live from OpenAlex

Background: The goal of this study is to biomechanically compare Fowler central slip tenotomy with spiral oblique retinacular ligament (SORL) reconstruction in correcting a chronic mallet deformity as part of a swan-neck deformity. Methods: We used 24 human cadaver fingers from 6 hands. Mallet finger and swan-neck deformities were created; then, Fowler tenotomy was done on one group including 3 hands with 12 fingers, and SORL reconstruction was done on the others. Results: During simulated finger extension, there was no significant difference between the 2 techniques in correcting the distal interphalangeal joint droop; however, Fowler tenotomy resulted in hyperflexion of the proximal interphalangeal (PIP) joint, whereas it remained straight after SORL reconstruction. Conclusions: This study supports the SORL reconstruction in correcting a chronic mallet deformity, especially when there is a concomitant PIP hyperextension deformity, which lowers the risk of reversing the deformity after a Fowler procedure.

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 score0.055
Threshold uncertainty score0.560

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)0.0010.000

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 head0.016
GPT teacher head0.274
Teacher spread0.259 · 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