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Development of a human pancreatic islet-transplant program through a collaborative relationship with a remote islet-isolation center

2004· article· en· W2034633281 on OpenAlexaboutno aff
John A. Goss, Sarah E. Goodpastor, F. Charles Brunicardi, Merle Barth, George Soltes, Alan J. Garber, Dale J. Hamilton, Rodolfo Alejandro, Camillo Ricordi

Bibliographic record

VenueTransplantation · 2004
Typearticle
Languageen
FieldMedicine
TopicPancreatic function and diabetes
Canadian institutionsnot available
Fundersnot available
KeywordsIsletMedicineMultidisciplinary approachTransplantationMultidisciplinary teamIsolation (microbiology)Diabetes mellitusSurgeryNursingBioinformaticsEndocrinologyBiologyPolitical science

Abstract

fetched live from OpenAlex

BACKGROUND: With the development of the Edmonton Protocol, pancreatic islet transplantation (PIT) now offers insulin-dependent diabetic patients metabolic stability. The PIT Food and Drug Administration (FDA) regulations, pancreatic islet isolation (PII) techniques, and clinical PIT protocols are challenging and make PIT program development daunting. PURPOSE: Review of the establishment of a PIT program through a collaborative relationship with a remote PIT/PII center. METHODS: Four key elements are required: (1) development of a collaborative relationship with an established PIT/PII center, (2) achievement of institutional review board and FDA approval at both centers, (3) generation of standard operating procedures, and (4) development of a multidisciplinary PIT team. RESULTS: Securing a collaborative relationship with an experienced PIT/PII center permitted our program to develop in less than 18 months. Twenty-two PITs were completed in the first clinical year. CONCLUSIONS: Collaboration with an experienced PIT/PII center allows developing programs to focus on patient safety and care, prudent use of pancreata, and consolidates PII expertise and experience.

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)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.277
Threshold uncertainty score0.636

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.026
GPT teacher head0.293
Teacher spread0.268 · 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 designObservational
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

Citations79
Published2004
Admission routes1
Has abstractyes

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