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Record W4306409698 · doi:10.2337/dc21-2688

Long-term Outcomes With Islet-Alone and Islet-After-Kidney Transplantation for Type 1 Diabetes in the Clinical Islet Transplantation Consortium: The CIT-08 Study

2022· article· en· W4306409698 on OpenAlexaff
Michael R. Rickels, Thomas L. Eggerman, Levent Bayman, Julie C. Qidwai, Rodolfo Alejandro, Nancy D. Bridges, Bernhard J. Hering, James F. Markmann, Peter Senior, Lawrence G. Hunsicker, José G. Ávila, Beth Begley, Jose Cano, Sallie Carpentier, Elizabeth Holbrook, Jennifer Hutchinson, Christian P. Larsen, Johanna Moreno, Marti H. Sears, Nicole A. Turgeon, Dasia Webster, Christian Berne, Carl Jorns, Torbjörn Lundgren, Mikael Rydén, Enrico Cagliero, Kerry Crisalli, Shan Deng, Ji Lei, David M. Nathan, Patrice Al‐Saden, Jason Battle, Xioajuan Chen, Angela Hecyk, Dixon B. Kaufman, H Kißler, Xunrong Luo, Mark E. Molitch, Natalie Monson, Elyse Stuart, Amisha Wallia, Ling‐Jia Wang, Shusen Wang, Xiaomin Zhang, Christine W. Czarniecki, Julia Goldstein, Tomeka Granderson, Yvonne Morrison, Allison Priore, Gerry Putz, Mark A. Robien, Elizabeth M. Schneider, Guillermo Arreaza, Neal Green, David L. Bigam, Patricia Campbell, Parastoo Dinyari, Sharleen Imes, Tatsuya Kin, Norman M. Kneteman, Angela Koh, James Lyon, Andrew J. Malcolm, Doug O’Gorman, Chris Onderka, Richard Owen, Rena Pawlick, Brad Richer, Shawn Rosichuk, Edmond A. Ryan, Donna Sarman, Adam Schroeder, A. M. James Shapiro, Lana Toth, Vali Toth, Wendy Zhai, Kristina M. Johnson, Joan McElroy, Andrew M. Posselt, Marissa Ramos, Tara Rojas, Peter G. Stock, Gregory L. Szot, Barbara Barbaro, Leelama George, Joan Martellotto, José Oberholzer, Meirigeng Qi, Yong Wang, Kathryn Chaloner, William R. Clarke, Joseph S. Dillon, Cynthia Diltz, Gregory C. Doelle, Dixie Ecklund, Holly Ernst, Deb Feddersen, Eric D. Foster, Carol Jasperson, David-Erick Lafontant, Karen D. McElvany, Tina Neill-Hudson, Deb Nollen, Traci Schwieger, Beth Shields, Jamie Willits, Jon Yankey, Ana Alvarez, Andrea Curry Corrales, Raquel N. Faradji, Tatiana Froud, Ana Alvarez Gil, Eva Herrada, Hirohito Ichii, Luca Inverardi, Norma S. Kenyon, Aisha Khan, Elina Linetsky, J. Montelongo, Eduardo Peixoto, Kathryn Peterson, Camillo Ricordi, Joel Szust, Xiaoling Wang, Xiumin Xu, Muhamad H. Abdulla, Jeffrey D. Ansite, Appakalai N. Balamurugan, Melena D. Bellin, M. Brandenburg, T Gilmore, James V. Harmon, Raja Kandaswamy, Gopal Loganathan, Kate R. Mueller, Klearchos K. Papas, J Højgaard Pedersen, Joshua J. Wilhelm, Jean C. Witson, Aksel Foss, Trond Jenssen, Cornelia Dalton-Bakes, Hongxing Fu, Malek Kamoun, Jane Kearns, Yanjing Li, Chengyang Liu, Eline Luning-Prak, Yanping Luo, Eileen Markmann, Zaw Min, Ali Naji, Maral Palanjian, Richard D. Shlansky-Goldberg, Kumar Vivek, Amin Sam Ziaie, Peter Chebleck, Juan S. Danobeitia, Luis Fernandez Dixon B. Kaufman, Jon S. Odorico, Kristi Schneider, Laura J. Zitur, Daniel Brandhorst, A. Friiberg, Olle Korsgren, Bo Nilsson, Gunnar Tufveson, Bengt von Zur-MΈhlen, Irene D. Feurer

Bibliographic record

VenueDiabetes Care · 2022
Typearticle
Languageen
FieldMedicine
TopicPancreatic function and diabetes
Canadian institutionsUniversity of Alberta
FundersNational Center for Advancing Translational SciencesNational Center for Research ResourcesNational Institute of Allergy and Infectious DiseasesUniversity of Illinois at Urbana-ChampaignVertex PharmaceuticalsNational Institute of Diabetes and Digestive and Kidney DiseasesJuvenile Diabetes Research Foundation United KingdomUniversity of MinnesotaUniversity of PennsylvaniaUniversity of Miami
KeywordsIsletMedicineTransplantationInternal medicineImmunosuppressionKidney transplantationType 1 diabetesDiabetes mellitusHypoglycemiaGlycemicEndocrinologyKidneyUrologyGastroenterology

Abstract

fetched live from OpenAlex

OBJECTIVE: To determine long-term outcomes for islet-alone and islet-after-kidney transplantation in adults with type 1 diabetes complicated by impaired awareness of hypoglycemia. RESEARCH DESIGN AND METHODS: This was a prospective interventional and observational cohort study of islet-alone (n = 48) and islet-after-kidney (n = 24) transplant recipients followed for up to 8 years after intraportal infusion of one or more purified human pancreatic islet products under standardized immunosuppression. Outcomes included duration of islet graft survival (stimulated C-peptide ≥0.3 ng/mL), on-target glycemic control (HbA1c <7.0%), freedom from severe hypoglycemia, and insulin independence. RESULTS: Of the 48 islet-alone and 24 islet-after-kidney transplantation recipients, 26 and 8 completed long-term follow-up with islet graft function, 15 and 7 withdrew from follow-up with islet graft function, and 7 and 9 experienced islet graft failure, respectively. Actuarial islet graft survival at median and final follow-up was 84% and 56% for islet-alone and 69% and 49% for islet-after-kidney (P = 0.007) with 77% and 49% of islet-alone and 57% and 35% of islet-after-kidney transplantation recipients maintaining posttransplant HbA1c <7.0% (P = 0.0017); freedom from severe hypoglycemia was maintained at >90% in both cohorts. Insulin independence was achieved by 74% of islet-alone and islet-after-kidney transplantation recipients, with more than one-half maintaining insulin independence during long-term follow-up. Kidney function remained stable during long-term follow-up in both cohorts, and rates of sensitization against HLA were low. Severe adverse events occurred at 0.31 per patient-year for islet-alone and 0.43 per patient-year for islet-after-kidney transplantation. CONCLUSIONS: Islet transplantation results in durable islet graft survival permitting achievement of glycemic targets in the absence of severe hypoglycemia for most appropriately indicated recipients having impaired awareness of hypoglycemia, with acceptable safety of added immunosuppression for both islet-alone and islet-after-kidney transplantation.

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.701

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.033
GPT teacher head0.318
Teacher spread0.285 · 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

Citations50
Published2022
Admission routes1
Has abstractyes

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