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Record W4381376955 · doi:10.2337/db23-238-or

238-OR: Changes In Renal Function after Islet Transplantation in a Single-Centre Cohort in Canada over 20 Years

2023· article· en· W4381376955 on OpenAlexaboutno aff
Alice L. J. Carr, Braulio A. Marfil‐Garza, Ying Ling, Richard A. Oram, Anna Lam, Blaire Anderson, Doug O’Gorman, Tatsuya Kin, David L. Bigam, A. M. James Shapiro, Peter Senior

Bibliographic record

VenueDiabetes · 2023
Typearticle
Languageen
FieldMedicine
TopicPancreatic function and diabetes
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCohortTransplantationTacrolimusRenal functionInternal medicineUrologyImmunosuppressionDiabetes mellitusNephrotoxicityKidney transplantationEndocrinologyKidney

Abstract

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Islet transplantation (ITx) is an established treatment for recurrent, severe hypoglycemia in type 1 diabetes, but requires lifelong immunosuppression (IS) which can be nephrotoxic. We examined long term changes in renal function after ITx, through estimated GFR (eGFR), in a single centre cohort followed for up to 20 years. We used data from adults undergoing islet after kidney or ITx alone (94%) at the University of Alberta Hospital between March 11 1999 and Oct 1 2019 with >1 year of follow up. IS included tacrolimus and sirolimus/mycophenolate, balancing side effects with graft and renal function. We calculated individuals mean CKD EPI eGFR (ml/min/1.73m2) at baseline (≤1y pre transplant), 6m and yearly timepoints across follow up. We assessed the overall slope/year of eGFR against time from first transplant in 3 time periods; ≤1y, 1-5y and 5-20y, using mixed effects models. We also compared slopes between subjects with preserved (>60, n=217) vs. reduced (<60, n=38) eGFR at baseline. We included 255 adults (42% M) followed for 88.3m [50.2, 144.9] (median [IQR]). Whole cohort eGFR declined over follow up, most rapidly in the first year; -28.3 [-31.8, -24.5], with slower decline later post transplant 1-5y; -2.9 [-3.5, -2.3] and 5-20y; -1.2 [-1.4, -1.04]. Those with preserved baseline eGFR experienced steeper decline across all time phases as compared to those with reduced eGFR, with the steepest decline ≤1y post transplant (-29.8 [-33.8, -25.9], -18.3 [-27.8, -8.9], p=0.027). Between 5-20y post transplant renal function continued to decline slowly in those with preserved baseline eGFR but was stable in those with reduced baseline eGFR, (-1.4 [-1.6, -1.2], 0.2 [-0.3, 0.7] p<0.001). Nine (3.5%) developed ESRD. Initiation of IS associates with a rapid decline in eGFR the first year post ITx, with minimal decline beyond 5y. With careful IS management, rates of eGFR decline are not greater in those with reduced baseline eGFR. Effective IS regimens without nephrotoxicity remain an important goal. Disclosure A.L.J.Carr: None. A.Shapiro: n/a. P.A.Senior: Advisory Panel; Novo Nordisk Canada Inc., Consultant; Novo Nordisk Canada Inc., Bayer Inc., Viatris Inc., Vertex Pharmaceuticals Incorporated, ViaCyte, Inc., Insulet Corporation. B.A.Marfil-garza: None. Y.Ling: None. R.A.Oram: Consultant; Janssen Research & Development, LLC, Research Support; Randox R & D. A.Lam: None. B.L.Anderson: None. D.O'gorman: None. T.Kin: None. D.Bigam: None.

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)0.002
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 score0.030
Threshold uncertainty score0.090

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.004
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.208
Teacher spread0.197 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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