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Record W2066354143 · doi:10.1177/0115426507022005485

Pancreatic Islet Cell Transplantation: Update and New Developments

2007· review· en· W2066354143 on OpenAlexaboutno aff
Nicholas Onaca, Bashoo Naziruddin, Shinichi Matsumoto, Hirofumi Noguchi, Göran B. Klintmalm, Marlon F. Levy

Bibliographic record

VenueNutrition in Clinical Practice · 2007
Typereview
Languageen
FieldMedicine
TopicPancreatic function and diabetes
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineImmunosuppressionIsletAutotransplantationPancreatitisTransplantationPancreasIslet cell transplantationInsulinDiabetes mellitusPancreas transplantationPancreatectomyType 1 diabetesInternal medicineSurgeryGastroenterologyEndocrinologyKidney transplantation

Abstract

fetched live from OpenAlex

Pancreatic islet cell transplantation is a treatment alternative for patients with type 1 diabetes who experience hypoglycemic unawareness despite maximal care. The good results obtained by the group from Edmonton and other centers, with 80% insulin independence at 1 year posttransplant, are not sustainable over time, with 5-year insulin independence achieved in only 10% of patients. However, persistent graft function, even without insulin independence, results in improved glucose control and avoidance of hypoglycemic events. Changes in organ preservation, islet processing technique, and immunosuppression regimens can result in improvement of results in the future. Islet autotransplantation is an option for patients who undergo total pancreatectomy for chronic pancreatitis with debilitating pain, in which reinfusion of the islets from the resected pancreas can result in avoidance of postsurgical diabetes or enhanced glucose control.

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 score0.007
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0030.003
Science and technology studies0.0000.001
Scholarly communication0.0020.003
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0070.005

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 head0.193
GPT teacher head0.474
Teacher spread0.281 · 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

Citations15
Published2007
Admission routes1
Has abstractyes

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