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Record W2316043646 · doi:10.1097/tp.0b013e318274ab1a

Pancreas-After-Kidney Versus Synchronous Pancreas-Kidney Transplantation

2012· article· en· W2316043646 on OpenAlexaff
Fateh Bazerbachi, Markus Selzner, Max Marquez, Andrea Norgate, Ian D. McGilvray, Jeffrey Schiff, Mark S. Cattral

Bibliographic record

VenueTransplantation · 2012
Typearticle
Languageen
FieldMedicine
TopicRenal Transplantation Outcomes and Treatments
Canadian institutionsUniversity of TorontoToronto General Hospital
Fundersnot available
KeywordsMedicineThymoglobulinPancreasKidneyTransplantationPancreas transplantationKidney transplantationUrologyDiabetes mellitusPopulationSurgeryInternal medicineEndocrinology

Abstract

fetched live from OpenAlex

BACKGROUND: Controversy persists over the safety and efficacy of pancreas transplantation in patients with insulin-dependent diabetes mellitus who have received a prior kidney transplant. METHODS: We compared the outcomes of recipients who received either Synchronous-Pancreas Kidney-Transplantation (SPK, n=123) or Pancreas-After-Kidney-Transplants(n=49)at our institution between August 2002 to January 2010. RESULTS: Donor and recipient demographics were similar. Time interval between kidney and pancreas transplantation was 5.9 ± 3.8 (4.8 [1.6-12.2]) years. The majority of kidney-recipients in PAK group were transplanted at outside institutions and referred to us for PAK. Most patients received thymoglobulin induction and were maintained on tacrolimus, MMF, and prednisone. For SPK versus PAK recipients, there was no difference in median of length of hospital stay or incidence of overall complications. All PAK recipients are alive with functioning kidney grafts, whereas the 1-, 3-, and 5-year SPK patient survival rates were 98%,96%,and 94%, P=0.09. The 1-,3-, and 5-yr uncensored pancreas survival rates for SPK versus PAK were 93% vs. 90%, 90% vs. 90%, and 82% versus 85%, respectively (P=0.4). CONCLUSION: Glycemic control and intermediate survival outcomes were similar in both groups. Pancreas-graft outcomes in SPK and PAK were equivalent in our study, but our specific population entailed among other factors a long K to PAK time interval; PAK could be a comparable option to SPK for patients with access to kidney grafts.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.073
Threshold uncertainty score1.000

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 communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.020
GPT teacher head0.287
Teacher spread0.267 · 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 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

Citations18
Published2012
Admission routes1
Has abstractyes

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