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Record W2059419220 · doi:10.3727/000000007783464849

Long-Term Graft Function after Allogeneic Islet Transplantation

2007· article· en· W2059419220 on OpenAlexaff
Jonathan R.T. Lakey, Tatsuya Kin, Garth L. Warnock, A. M. James Shapiro, Panagiotis Tsapogas, Sharleen Imes, Gregory S. Korbutt, Norman M. Kneteman, Ray V. Rajotte, Edmond A. Ryan

Bibliographic record

VenueCell Transplantation · 2007
Typearticle
Languageen
FieldMedicine
TopicPancreatic function and diabetes
Canadian institutionsUniversity of AlbertaUniversity of British ColumbiaCapital District Health Authority
Fundersnot available
KeywordsIsletMedicineImmunosuppressionTransplantationDiabetes mellitusType 1 diabetesKidneySurgeryUrologyInternal medicineGastroenterologyEndocrinology

Abstract

fetched live from OpenAlex

Islet transplants are emerging as a viable option for the treatment of type 1 diabetes mellitus. From 1989 to 1995 we conducted a series of simultaneous islet-kidney transplants in six uremic type 1 diabetic patients. We report two of these patients who have shown persistent islet graft function over many years. Two female patients with duration of diabetes of 27 and 37 years underwent simultaneous islet-kidney transplant under steroid- and cyclosporine-based immunosuppression. Freshly isolated islets were supplemented with cryopreserved islets from our low-temperature bank of frozen islets. A total islet mass of 9,866 and 15,061 islet equivalents/kg body weight, respectively, was transplanted into the liver through portal vein. Reasonable blood glucose control has been achieved for up to 6 years posttransplant in one patient, but there was minimum clinical benefit from the islet graft at 10 years. In contrast, sustained insulin secretion with nearly normal HbA1c at 13 years follow-up was observed in another patient, providing hope for improving long-term graft outcomes for islet transplant recipient.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.011
GPT teacher head0.240
Teacher spread0.229 · 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 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

Citations26
Published2007
Admission routes1
Has abstractyes

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