MétaCan
Menu
Back to cohort

Peripheral nerve and neuromuscular allotransplantation: Current status

2000· review· en· W2003763477 on OpenAlexaff
James R. Bain

Bibliographic record

VenueMicrosurgery · 2000
Typereview
Languageen
FieldNeuroscience
TopicNerve injury and regeneration
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMedicineImmunosuppressionAllotransplantationPeripheral nervePeripheralRegeneration (biology)SurgeryTransplantationAnatomyInternal medicine

Abstract

fetched live from OpenAlex

Some major peripheral nerve deficits in otherwise salvageable extremities are unreconstructable with autogenous nerve grafts because of their limited availability. Peripheral nerve allotransplantation has been attempted experimentally and clinically for more than a century. It is only since the advent of the immunophyllin-immunosuppressive agents (Cyclosporin A and FK506) that nerve regeneration across allografts has been comparable to that observed across autografts. Experimental studies have demonstrated excellent regeneration through nerve allografts with recipient CsA and FK506 immunosuppression given continuously and for limited periods. This permitted the development of a clinical trial. To date, seven patients received major nerve reconstructions with nerve allografts under temporary immunosuppression; six have had sensory recovery; three motor recovery; and one no recovery due to rejection. The experimental and clinical work will be reviewed and relevance to composite tissue allotransplantation discussed.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.009
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0020.003
Science and technology studies0.0010.001
Scholarly communication0.0020.004
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0090.007

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 head0.068
GPT teacher head0.329
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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations68
Published2000
Admission routes1
Has abstractyes

Explore more

Same venueMicrosurgerySame topicNerve injury and regenerationFrench-language works237,207