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Record W4391336384

Public attitudes toward vascularized composite allograft donation: a literature review

2019· review· en· W4391336384 on OpenAlexaboutno aff
Manraj Kaur, Achilleas Thoma

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2019
Typereview
Languageen
FieldMedicine
TopicOrgan and Tissue Transplantation Research
Canadian institutionsnot available
Fundersnot available
KeywordsDonationComposite numberBusinessMedicineSurgeryComputer sciencePolitical scienceLawAlgorithm
DOInot available

Abstract

fetched live from OpenAlex

Manraj Kaur1, Achilleas Thoma2 1School of Rehabilitation Science, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada; 2Department of Surgery, Division of Plastic Surgery, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, CanadaCorrespondence: Manraj KaurSchool of Rehabilitation Science, Faculty of Health Sciences, McMaster University, 3N27 – 1280 Main Street West, Hamilton, Ontario L8S 4L8, CanadaTel +1 905 525 9140 ext 26410Email kaurmn@mcmaster.caAbstract: Vascularized composite allotransplantation (VCA) is the transplantation of anatomical or functional structures composed of multiple types of tissues. The technical advancement of solid organ transplantation and replantation instigated the development of the skills required for successful VCA several years ago; however, the recent advancements in immunosuppression therapy have renewed the interest in this field. As VCAs are primarily life-enhancing procedures, the perception and attitudes of the general public (i.e. potential donors and candidates) and the health care professionals is extremely relevant in terms of health policy and funding decision allocations, availability of donor tissue and ethical and legal implications. In this article, we review the current evidence to assess the sociocultural and demographic factors that influence the growth and success of VCA procedures.Keywords: alotransplantation, public attitudes, vascularized composite allograft, reconstruction, hand transplant, facial transplant

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.718
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0050.002
Bibliometrics0.0020.003
Science and technology studies0.0000.000
Scholarly communication0.0020.002
Open science0.0030.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0210.000

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 head0.544
GPT teacher head0.626
Teacher spread0.083 · 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
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

Citations1
Published2019
Admission routes1
Has abstractyes

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