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Record W2952825825 · doi:10.1016/j.jhsg.2019.05.004

Restoration of Sensation and Thumb Opposition Using Nerve Transfers Following Resection of a Synovial Sarcoma of the Median Nerve

2019· article· en· W2952825825 on OpenAlexaff
Hollie A. Power, Ida K. Fox, Lorna C. Kahn, Susan E. Mackinnon

Bibliographic record

VenueJournal of Hand Surgery Global Online · 2019
Typearticle
Languageen
FieldMedicine
TopicReconstructive Surgery and Microvascular Techniques
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineThumbSurgeryMedian nerveAnatomySensationCutaneous nerveMotor nervePsychology

Abstract

fetched live from OpenAlex

Synovial sarcomas of peripheral nerves are rare and often leave major functional deficits after wide excision. We present a case of median nerve reconstruction using nerve transfers after resection of a synovial sarcoma of the median nerve. Sensation was restored by transferring the fourth common digital nerve to the first and second common digital nerves. Thumb opposition was restored by transferring the abductor digiti minimi branch to the recurrent motor branch. The soft tissue defect was reconstructed with a free gracilis muscle flap. Fifteen months after surgery, there was Medical Research Council grade 4+ opposition strength with co-contraction of the abductor digiti minimi. Sensation recovered slowly over time. The Disabilities of the Arm, Shoulder, and Hand score decreased from 47.4 before surgery to 13.3 afterward. The patient was able to use the right hand for writing and crafting pottery. Distal nerve transfers are a reliable option for reconstruction of complete median nerve defects. Key words: median nerve, nerve transfer, opponensplasty, sensory nerve transfer, synovial sarcoma

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 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 score0.011
Threshold uncertainty score0.282

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 studies0.0000.000
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 head0.022
GPT teacher head0.282
Teacher spread0.261 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations5
Published2019
Admission routes1
Has abstractyes

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