MétaCan
Menu
Back to cohort
Record W2991097734 · doi:10.13107/jocr.2250-0685.1194

Supercharge End-to-Side Anterior Interosseous Nerve to Ulnar Motor Nerve Transfer for Severe Ulnar Neuropathy: Two Cases Suggesting Recovery Secondary to Nerve Transfer.

2018· article· en· W2991097734 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

VenuePubMed · 2018
Typearticle
Languageen
FieldMedicine
TopicPeripheral Nerve Disorders
Canadian institutionsSt. Paul's Hospital
Fundersnot available
KeywordsReinnervationMedicineUlnar nerveUlnar neuropathyMotor nerveSurgeryAnatomyAnesthesiaElbow

Abstract

fetched live from OpenAlex

INTRODUCTION: The supercharged end-to-side (SETS) anterior interosseous nerve (AIN) to ulnar nerve transfer has been recently described for severe cubital tunnel syndrome. Previous studies have suggested that this technique augments or "babysits" the motor end plates until reinnervation occurs; however, it has more recently been suggested that reinnervation occurs by the donor nerve as evidenced in animal research. CASE REPORT: We present two cases of rapidly progressive ulnar neuropathy who underwent a SETS AIN to ulnar nerve transfer who demonstrated improvement in their electrodiagnostic studies in addition to improvement in their clinical and patient-reported outcome's scores postoperatively. CONCLUSION: Our findings provide further evidence that previously demonstrated in the literature that the SETS does more than "babysit" the motor end plates, but that there is axonal growth along the new pathway.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.471
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.030
GPT teacher head0.269
Teacher spread0.239 · 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