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Record W3193466900 · doi:10.1002/9781119413936.ch160

Flexor Tendon Injuries: Rehabilitation

2021· other· en· W3193466900 on OpenAlexaff
Matthew McRae, Mark McRae, Daniel Waltho, Jenny Santos

Bibliographic record

VenueEvidence-Based Orthopedics · 2021
Typeother
Languageen
FieldMedicine
TopicOrthopedic Surgery and Rehabilitation
Canadian institutionsMcMaster University
Fundersnot available
KeywordsTendonRange of motionWristMedicinePhalanxRehabilitationPhysical medicine and rehabilitationExtensor Digitorum CommunisSurgeryAnatomyPhysical therapy

Abstract

fetched live from OpenAlex

This chapter presents a case scenario of a 40-year-old male lacerates both flexor digitorum profundus and flexor digitorum superficialis of the long finger over the proximal phalanx while using a knife to cut food. Early motion protocols have greatly improved outcomes after flexor tendon surgery. There has been considerable debate on the optimal postoperative rehabilitation strategy for zone II flexor tendon repairs. Early motion postflexor tendon repair has resulted in dramatically improved composite motion of the fingers compared to immobilization. The wrist is held in a position of slight flexion after flexor tendon repair to reduce force exerted on the healing tendon repair and to permit passive range of motion. Passive motion flexor tendon excursion may be augmented with wrist extension. The chapter provides recommendations for implementing evidence-based practice in the clinical setting.

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)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.219
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0120.000

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 head0.034
GPT teacher head0.317
Teacher spread0.283 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2021
Admission routes1
Has abstractyes

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