22 datasets found
  1. f

    Data_Sheet_1_Outcomes of Combined Liver and Pancreas Transplantation: A...

    • frontiersin.figshare.com
    bin
    Updated Jun 1, 2023
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    Cheukfai Li; Wei Zhang; Qiang Zhao; Maodong Ye; Weiqiang Ju; Linwei Wu; Yi Ma; Anbin Hu; Guodong Wang; Xiaofeng Zhu; Zhiyong Guo; Dongping Wang; Xiaoshun He (2023). Data_Sheet_1_Outcomes of Combined Liver and Pancreas Transplantation: A Review of the SRTR National Database and a Report of the Largest Single Center Series.docx [Dataset]. http://doi.org/10.3389/fmed.2020.542905.s001
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    binAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    Frontiers
    Authors
    Cheukfai Li; Wei Zhang; Qiang Zhao; Maodong Ye; Weiqiang Ju; Linwei Wu; Yi Ma; Anbin Hu; Guodong Wang; Xiaofeng Zhu; Zhiyong Guo; Dongping Wang; Xiaoshun He
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Purposes: This study was intended to summarize the characteristics and clinical outcome of Liver and Pancreas (LPTx) recipients in the Scientific Registry of Transplant Recipients (SRTR) database vs. the largest series from the First Affiliated Hospital (FAH), Sun Yat-sen University.Methods: The clinical data of 23 patients who underwent LPTx from 2000 to 2016 in the United States and 31 patients who underwent modified LPTx procedure (known as simplified multivisceral transplantation [SMT]) from 2008 to 2017 in our center were reviewed. The indications, surgical techniques, patient and graft survival, and complications were compared between the two groups.Results: All recipients in the FAH group were diagnosed with type 2 diabetes mellitus, while 10 of 23 recipients were diagnosed with type 1 diabetes mellitus in the SRTR group. The 1-, 3-, and 5-year cumulative patient survival rates were 81, 74, and 74% in the FAH group, respectively, and 51, 47, and 37% in the SRTR group, respectively (P = 0.023). No diabetes was observed during follow-up in the FAH group, while the diabetes recurrence rate was 22.2% in the SRTR group (P = 0.03).Conclusion: With multiple techniques modified and indications changed, the SMT procedure yielded a preferable outcome compared to that of the traditional LPTx procedure in records of SRTR. SMT has become a treatment option for patients with end-stage liver disease and concurrent diabetes.

  2. f

    Data from: Transplant outcomes.

    • figshare.com
    xls
    Updated Jun 9, 2023
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    Cheol Woong Jung; Dana Jorgensen; Puneet Sood; Rajil Mehta; Michele Molinari; Sundaram Hariharan; Armando Ganoza; Dirk Van Der Windt; Martin N. Wijkstrom; Chethan M. Puttarajappa; Amit D. Tevar (2023). Transplant outcomes. [Dataset]. http://doi.org/10.1371/journal.pone.0254115.t002
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    xlsAvailable download formats
    Dataset updated
    Jun 9, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Cheol Woong Jung; Dana Jorgensen; Puneet Sood; Rajil Mehta; Michele Molinari; Sundaram Hariharan; Armando Ganoza; Dirk Van Der Windt; Martin N. Wijkstrom; Chethan M. Puttarajappa; Amit D. Tevar
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Transplant outcomes.

  3. t

    BIOGRID CURATED DATA FOR PUBLICATION: Efficacy of anti-IL-2 receptor...

    • thebiogrid.org
    zip
    Updated Jun 12, 2007
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    BioGRID Project (2007). BIOGRID CURATED DATA FOR PUBLICATION: Efficacy of anti-IL-2 receptor antibodies compared to no induction and to antilymphocyte antibodies in renal transplantation. [Dataset]. https://thebiogrid.org/172456/publication/efficacy-of-anti-il-2-receptor-antibodies-compared-to-no-induction-and-to-antilymphocyte-antibodies-in-renal-transplantation.html
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    zipAvailable download formats
    Dataset updated
    Jun 12, 2007
    Dataset authored and provided by
    BioGRID Project
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    Protein-Protein, Genetic, and Chemical Interactions for Patlolla V (2007):Efficacy of anti-IL-2 receptor antibodies compared to no induction and to antilymphocyte antibodies in renal transplantation. curated by BioGRID (https://thebiogrid.org); ABSTRACT: The relative efficacy of anti-IL-2 receptor antibodies (IL2R Abs) and antilymphocyte antibodies in preventing acute rejection and improving graft survival after renal transplantation is poorly defined. In particular, the benefits of these agents in specific subgroups, such as recipients with different degrees of HLA mismatch, are unknown. Using the SRTR database, we compared IL2R Abs to no induction and to antilymphocyte antibody induction in 48 948 first renal transplant recipients in the United States between 1998 and 2003 with respect to acute rejection and graft failure. IL2R Abs decreased acute rejection at 6 months (OR: 0.81(0.75-0.87)), and reduced graft failure (HR: 0.90(0.84-0.95)), compared to no induction over a follow-up of 1059 days. Compared to IL2R Abs, antilymphocyte Abs were associated with decreased acute rejection (OR: 0.90(0.83-0.99)) at 1 year, but were not associated with improved graft survival (OR: 1.08(1.00-1.18)) over a follow-up of 732 days. The benefit of IL2R Abs in reducing acute rejection increased significantly with greater HLA mismatch (p = 0.007). IL2R Abs remain an important option in the management of renal transplant patients, and may be particularly useful in specific patient subsets.

  4. f

    DataSheet_1_Patient years lost due to cytomegalovirus serostatus mismatching...

    • frontiersin.figshare.com
    docx
    Updated Jan 9, 2024
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    Maheen Z. Abidi; Jesse D. Schold; Bruce Kaplan; Adriana Weinberg; Kristine M. Erlandson; John S. Malamon (2024). DataSheet_1_Patient years lost due to cytomegalovirus serostatus mismatching in the scientific registry of transplant recipients.docx [Dataset]. http://doi.org/10.3389/fimmu.2023.1292648.s001
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    docxAvailable download formats
    Dataset updated
    Jan 9, 2024
    Dataset provided by
    Frontiers
    Authors
    Maheen Z. Abidi; Jesse D. Schold; Bruce Kaplan; Adriana Weinberg; Kristine M. Erlandson; John S. Malamon
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    BackgroundThe cytomegalovirus (CMV) mismatch rate in deceased donor kidney transplant (DDKT) recipients in the US remains above 40%. Since CMV mismatching is common in DDKT recipients, the cumulative effects may be significant in the context of overall patient and graft survival. Our primary objective was to describe the short- and long-term risks associated with high-risk CMV donor positive/recipient negative (D+/R-) mismatching among DDKT recipients with the explicit goal of deriving a mathematical mismatching penalty.MethodsWe conducted a retrospective, secondary analysis of the Scientific Registry of Transplant Recipients (SRTR) database using donor-matched DDKT recipient pairs (N=105,608) transplanted between 2011-2022. All-cause mortality and graft failure hazard ratios were calculated from one year to ten years post-DDKT. All-cause graft failure included death events. Survival curves were calculated using the Kaplan-Meier estimation at 10 years post-DDKT and extrapolated to 20 years to provide the average graft days lost (aGDL) and average patient days lost (aPDL) due to CMV D+/R- serostatus mismatching. We also performed an age-based stratification analysis to compare the relative risk of CMV D+ mismatching by age.ResultsAmong 31,518 CMV D+/R- recipients, at 1 year post-DDKT, the relative risk of death increased by 29% (p

  5. Global export data of Rotary,srt

    • volza.com
    csv
    Updated Jun 27, 2025
    + more versions
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    Volza FZ LLC (2025). Global export data of Rotary,srt [Dataset]. https://www.volza.com/exports-india/india-export-data-of-rotary-srt-to-algeria
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    csvAvailable download formats
    Dataset updated
    Jun 27, 2025
    Dataset provided by
    Volza
    Authors
    Volza FZ LLC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Variables measured
    Count of exporters, Sum of export value, 2014-01-01/2021-09-30, Count of export shipments
    Description

    285 Global export shipment records of Rotary,srt with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

  6. D

    Data from: NGT-SRT-child

    • ssh.datastations.nl
    • portal.odissei.nl
    • +1more
    mkv, pdf
    Updated Feb 24, 2025
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    B. van der Aa; B. van der Aa; E. Ormel; E. Ormel (2025). NGT-SRT-child [Dataset]. http://doi.org/10.17026/SS/DOBC17
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    mkv(3419457), mkv(1888874), mkv(6388038), mkv(3383685), mkv(4287808), mkv(2377850), mkv(2900225), mkv(1556976), mkv(2427575), mkv(2469609), mkv(4364327), mkv(1967286), mkv(3854147), mkv(2428438), mkv(1898969), mkv(3648762), pdf(229242), mkv(2947902), mkv(2522931), mkv(3407548), mkv(5108558), mkv(5118544), mkv(5850339), mkv(4317263), mkv(3278800), mkv(1537547), mkv(6483724), mkv(2106491), mkv(1934521), mkv(3084697), mkv(4535191), mkv(2451668), mkv(3975257)Available download formats
    Dataset updated
    Feb 24, 2025
    Dataset provided by
    DANS Data Station Social Sciences and Humanities
    Authors
    B. van der Aa; B. van der Aa; E. Ormel; E. Ormel
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The 'NGT-SRT-child' repository contains videos used in the first version of an NGT sentence repetition task for deaf and hard of hearing (DHH) children between 6–10 years old. It consists of 32 sentences in NGT (Sign Language of the Netherlands/Dutch Sign Language) in video format. The sentences are divided into three complexity levels: simple (S) medium (M), complex (C). Complexity levels are defined by number of manual signs per sentence, type of sentence, and use of non-manual features. The levels of complexity are also indicated with the letters S, M, and C in the video filename.

  7. Seair Exim Solutions

    • seair.co.in
    + more versions
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    Seair Exim, Seair Exim Solutions [Dataset]. https://www.seair.co.in
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    .bin, .xml, .csv, .xlsAvailable download formats
    Dataset provided by
    Seair Exim Solutions
    Authors
    Seair Exim
    Area covered
    India
    Description

    Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

  8. t

    BIOGRID CURATED DATA FOR SRT-42 (Caenorhabditis elegans)

    • thebiogrid.org
    zip
    Updated Nov 4, 2016
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    BioGRID Project (2016). BIOGRID CURATED DATA FOR SRT-42 (Caenorhabditis elegans) [Dataset]. https://thebiogrid.org/54571/table/caenorhabditis-elegans/srt-42.html
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    zipAvailable download formats
    Dataset updated
    Nov 4, 2016
    Dataset authored and provided by
    BioGRID Project
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    Protein-Protein, Genetic, and Chemical Interactions for SRT-42 (Caenorhabditis elegans) curated by BioGRID (https://thebiogrid.org); DEFINITION: Protein SRT-42

  9. b

    QJ SRT 800 Price History Data

    • bikersbuddy.com
    Updated Jun 29, 2025
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    BikersBuddy (2025). QJ SRT 800 Price History Data [Dataset]. https://bikersbuddy.com/reviews/qj-srt-800/price-history
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    Dataset updated
    Jun 29, 2025
    Dataset provided by
    BikersBuddy
    Time period covered
    2025
    Area covered
    Bangladesh
    Description

    Historical price data and trends for QJ SRT 800 including current price, price changes, and market analysis.

  10. t

    BIOGRID CURATED DATA FOR SRT-4 (Caenorhabditis elegans)

    • thebiogrid.org
    zip
    Updated May 7, 2024
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    BioGRID Project (2024). BIOGRID CURATED DATA FOR SRT-4 (Caenorhabditis elegans) [Dataset]. https://thebiogrid.org/47868/table/caenorhabditis-elegans/srt-4.html
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    zipAvailable download formats
    Dataset updated
    May 7, 2024
    Dataset authored and provided by
    BioGRID Project
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    Protein-Protein, Genetic, and Chemical Interactions for SRT-4 (Caenorhabditis elegans) curated by BioGRID (https://thebiogrid.org); DEFINITION: Serpentine Receptor, class T

  11. f

    Donor, recipient and transplant characteristics.

    • plos.figshare.com
    xls
    Updated Jun 10, 2023
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    Cheol Woong Jung; Dana Jorgensen; Puneet Sood; Rajil Mehta; Michele Molinari; Sundaram Hariharan; Armando Ganoza; Dirk Van Der Windt; Martin N. Wijkstrom; Chethan M. Puttarajappa; Amit D. Tevar (2023). Donor, recipient and transplant characteristics. [Dataset]. http://doi.org/10.1371/journal.pone.0254115.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 10, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Cheol Woong Jung; Dana Jorgensen; Puneet Sood; Rajil Mehta; Michele Molinari; Sundaram Hariharan; Armando Ganoza; Dirk Van Der Windt; Martin N. Wijkstrom; Chethan M. Puttarajappa; Amit D. Tevar
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Donor, recipient and transplant characteristics.

  12. f

    Variable relationships for donor characteristics.

    • plos.figshare.com
    xls
    Updated Mar 21, 2024
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    Paul R. Gunsalus; Johnie Rose; Carli J. Lehr; Maryam Valapour; Jarrod E. Dalton (2024). Variable relationships for donor characteristics. [Dataset]. http://doi.org/10.1371/journal.pone.0296839.t001
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    xlsAvailable download formats
    Dataset updated
    Mar 21, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Paul R. Gunsalus; Johnie Rose; Carli J. Lehr; Maryam Valapour; Jarrod E. Dalton
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Computer simulation has played a pivotal role in analyzing alternative organ allocation strategies in transplantation. The current approach to producing cohorts of organ donors and candidates for individual-level simulation requires directly re-sampling retrospective data from a transplant registry. This historical data may reflect outmoded policies and practices as well as systemic inequities in candidate listing, limiting contemporary applicability of simulation results. We describe the development of an alternative approach for generating synthetic donors and candidates using hierarchical Bayesian network probability models. We developed two Bayesian networks to model dependencies among 10 donor and 36 candidate characteristics relevant to waitlist survival, donor-candidate matching, and post-transplant survival. We estimated parameters for each model using Scientific Registry of Transplant Recipients (SRTR) data. For 100 donor and 100 candidate synthetic populations generated, proportions for each categorical donor or candidate attribute, respectively, fell within one percentage point of observed values; the interquartile ranges (IQRs) of each continuous variable contained the corresponding SRTR observed median. Comparisons of synthetic to observed stratified distributions demonstrated the ability of the method to capture complex joint variability among multiple characteristics. We also demonstrated how changing two upstream population parameters can exert cascading effects on multiple relevant clinical variables in a synthetic population. Generating synthetic donor and candidate populations in transplant simulation may help overcome critical limitations related to the re-sampling of historical data, allowing developers and decision makers to customize the parameters of these populations to reflect realistic or hypothetical future states.

  13. t

    BIOGRID CURATED DATA FOR SRT-41 (Caenorhabditis elegans)

    • thebiogrid.org
    zip
    Updated Nov 2, 2024
    + more versions
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    BioGRID Project (2024). BIOGRID CURATED DATA FOR SRT-41 (Caenorhabditis elegans) [Dataset]. https://thebiogrid.org/50166/table/caenorhabditis-elegans/srt-41.html
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    zipAvailable download formats
    Dataset updated
    Nov 2, 2024
    Dataset authored and provided by
    BioGRID Project
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    Protein-Protein, Genetic, and Chemical Interactions for SRT-41 (Caenorhabditis elegans) curated by BioGRID (https://thebiogrid.org); DEFINITION: Serpentine Receptor, class T

  14. t

    BIOGRID CURATED DATA FOR SRT-14 (Caenorhabditis elegans)

    • thebiogrid.org
    zip
    Updated Jul 13, 2024
    + more versions
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    BioGRID Project (2024). BIOGRID CURATED DATA FOR SRT-14 (Caenorhabditis elegans) [Dataset]. https://thebiogrid.org/55638/table/caenorhabditis-elegans/srt-14.html
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    zipAvailable download formats
    Dataset updated
    Jul 13, 2024
    Dataset authored and provided by
    BioGRID Project
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    Protein-Protein, Genetic, and Chemical Interactions for SRT-14 (Caenorhabditis elegans) curated by BioGRID (https://thebiogrid.org); DEFINITION: Serpentine Receptor, class T

  15. t

    BIOGRID CURATED DATA FOR SRT-36 (Caenorhabditis elegans)

    • thebiogrid.org
    zip
    Updated Nov 4, 2016
    + more versions
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    BioGRID Project (2016). BIOGRID CURATED DATA FOR SRT-36 (Caenorhabditis elegans) [Dataset]. https://thebiogrid.org/50681/table/caenorhabditis-elegans/srt-36.html
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    zipAvailable download formats
    Dataset updated
    Nov 4, 2016
    Dataset authored and provided by
    BioGRID Project
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    Protein-Protein, Genetic, and Chemical Interactions for SRT-36 (Caenorhabditis elegans) curated by BioGRID (https://thebiogrid.org); DEFINITION: Serpentine Receptor, class T

  16. f

    Comparison of observed SRTR and synthetically generated candidate...

    • plos.figshare.com
    • figshare.com
    xls
    Updated Mar 21, 2024
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    Comparison of observed SRTR and synthetically generated candidate populations. [Dataset]. https://plos.figshare.com/articles/dataset/Comparison_of_observed_SRTR_and_synthetically_generated_candidate_populations_/25454362
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    xlsAvailable download formats
    Dataset updated
    Mar 21, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Paul R. Gunsalus; Johnie Rose; Carli J. Lehr; Maryam Valapour; Jarrod E. Dalton
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Comparison of observed SRTR and synthetically generated candidate populations.

  17. f

    Donor, recipient and transplant risk factors predicting graft failure in AKI...

    • figshare.com
    xls
    Updated Jun 10, 2023
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    Cheol Woong Jung; Dana Jorgensen; Puneet Sood; Rajil Mehta; Michele Molinari; Sundaram Hariharan; Armando Ganoza; Dirk Van Der Windt; Martin N. Wijkstrom; Chethan M. Puttarajappa; Amit D. Tevar (2023). Donor, recipient and transplant risk factors predicting graft failure in AKI donor KTs. [Dataset]. http://doi.org/10.1371/journal.pone.0254115.t003
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    xlsAvailable download formats
    Dataset updated
    Jun 10, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Cheol Woong Jung; Dana Jorgensen; Puneet Sood; Rajil Mehta; Michele Molinari; Sundaram Hariharan; Armando Ganoza; Dirk Van Der Windt; Martin N. Wijkstrom; Chethan M. Puttarajappa; Amit D. Tevar
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Donor, recipient and transplant risk factors predicting graft failure in AKI donor KTs.

  18. f

    Multivariable logistic regression models predicting the odds of graft...

    • plos.figshare.com
    xls
    Updated Jun 9, 2023
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    Cheol Woong Jung; Dana Jorgensen; Puneet Sood; Rajil Mehta; Michele Molinari; Sundaram Hariharan; Armando Ganoza; Dirk Van Der Windt; Martin N. Wijkstrom; Chethan M. Puttarajappa; Amit D. Tevar (2023). Multivariable logistic regression models predicting the odds of graft failure in the AKI donor KTs. [Dataset]. http://doi.org/10.1371/journal.pone.0254115.t004
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    xlsAvailable download formats
    Dataset updated
    Jun 9, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Cheol Woong Jung; Dana Jorgensen; Puneet Sood; Rajil Mehta; Michele Molinari; Sundaram Hariharan; Armando Ganoza; Dirk Van Der Windt; Martin N. Wijkstrom; Chethan M. Puttarajappa; Amit D. Tevar
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    A. Including all significant predictors from Table 3 except KDPI. B. Adding KDPI and removing the variables included in the calculation of KDPI to avoid collinearity. C. Adding KDPI (>85%) and removing the variables included in the calculation of KDPI to avoid collinearity.

  19. f

    Data from: Impact of donor diabetes mellitus status on liver transplant...

    • tandf.figshare.com
    tiff
    Updated Feb 6, 2024
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    Jie Zhou; Danni Ye; Siyao Zhang; Zheng Chen; Fangshen Xu; Shenli Ren; Yu Zhang; Huilin Zheng; Zhenhua Hu (2024). Impact of donor diabetes mellitus status on liver transplant outcomes in patients with acute-on-chronic liver failure [Dataset]. http://doi.org/10.6084/m9.figshare.22586063.v1
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    tiffAvailable download formats
    Dataset updated
    Feb 6, 2024
    Dataset provided by
    Taylor & Francis
    Authors
    Jie Zhou; Danni Ye; Siyao Zhang; Zheng Chen; Fangshen Xu; Shenli Ren; Yu Zhang; Huilin Zheng; Zhenhua Hu
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Liver transplantation (LT) is the most effective way to save patients with acute-on-chronic liver failure (ACLF). However, the impact of donor diabetes mellitus (DM) on LT outcomes in patients with ACLF has not been fully investigated. We retrospectively analyzed data from the Scientific Registry of Transplant Recipients (SRTR) between January 1st, 2008 to December 31st, 2017 in this study. All the patients were divided into donors with DM and without DM group (DM: 1,394; non-DM: 11138). We compared the overall survival (OS) and graft survival (GS) across different estimated ACLF (estACLF) grades between two groups. There were 25.10% estACLF-3 patients in the entire cohort. And in estACLF-3 patients, 318 patients had DM donors. The estACLF-3 associated 5-year OS rate in the non-DM group was 74.6%, significantly better than that in the DM group, with corresponding survival rate at 64.9% (P 

  20. f

    Weibull accelerated failure time model for association of donor status with...

    • plos.figshare.com
    xls
    Updated Jun 21, 2023
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    A. Cozette Killian; Rhiannon D. Reed; M. Chandler McLeod; Paul A. MacLennan; Vineeta Kumar; Sydney E. Pittman; Andrew G. Maynor; Luke A. Stanford; Gavin A. Baker; Carrie A. Schinstock; John R. Silkensen; Garrett R. Roll; Dorry L. Segev; Babak J. Orandi; Cora E. Lewis; Jayme E. Locke (2023). Weibull accelerated failure time model for association of donor status with diabetes onset in matched cohorts excluding donors with only SRTR data, follow-up censored at 10 years. [Dataset]. http://doi.org/10.1371/journal.pone.0276882.t004
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    xlsAvailable download formats
    Dataset updated
    Jun 21, 2023
    Dataset provided by
    PLOS ONE
    Authors
    A. Cozette Killian; Rhiannon D. Reed; M. Chandler McLeod; Paul A. MacLennan; Vineeta Kumar; Sydney E. Pittman; Andrew G. Maynor; Luke A. Stanford; Gavin A. Baker; Carrie A. Schinstock; John R. Silkensen; Garrett R. Roll; Dorry L. Segev; Babak J. Orandi; Cora E. Lewis; Jayme E. Locke
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Weibull accelerated failure time model for association of donor status with diabetes onset in matched cohorts excluding donors with only SRTR data, follow-up censored at 10 years.

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Cheukfai Li; Wei Zhang; Qiang Zhao; Maodong Ye; Weiqiang Ju; Linwei Wu; Yi Ma; Anbin Hu; Guodong Wang; Xiaofeng Zhu; Zhiyong Guo; Dongping Wang; Xiaoshun He (2023). Data_Sheet_1_Outcomes of Combined Liver and Pancreas Transplantation: A Review of the SRTR National Database and a Report of the Largest Single Center Series.docx [Dataset]. http://doi.org/10.3389/fmed.2020.542905.s001

Data_Sheet_1_Outcomes of Combined Liver and Pancreas Transplantation: A Review of the SRTR National Database and a Report of the Largest Single Center Series.docx

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Dataset updated
Jun 1, 2023
Dataset provided by
Frontiers
Authors
Cheukfai Li; Wei Zhang; Qiang Zhao; Maodong Ye; Weiqiang Ju; Linwei Wu; Yi Ma; Anbin Hu; Guodong Wang; Xiaofeng Zhu; Zhiyong Guo; Dongping Wang; Xiaoshun He
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Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

Purposes: This study was intended to summarize the characteristics and clinical outcome of Liver and Pancreas (LPTx) recipients in the Scientific Registry of Transplant Recipients (SRTR) database vs. the largest series from the First Affiliated Hospital (FAH), Sun Yat-sen University.Methods: The clinical data of 23 patients who underwent LPTx from 2000 to 2016 in the United States and 31 patients who underwent modified LPTx procedure (known as simplified multivisceral transplantation [SMT]) from 2008 to 2017 in our center were reviewed. The indications, surgical techniques, patient and graft survival, and complications were compared between the two groups.Results: All recipients in the FAH group were diagnosed with type 2 diabetes mellitus, while 10 of 23 recipients were diagnosed with type 1 diabetes mellitus in the SRTR group. The 1-, 3-, and 5-year cumulative patient survival rates were 81, 74, and 74% in the FAH group, respectively, and 51, 47, and 37% in the SRTR group, respectively (P = 0.023). No diabetes was observed during follow-up in the FAH group, while the diabetes recurrence rate was 22.2% in the SRTR group (P = 0.03).Conclusion: With multiple techniques modified and indications changed, the SMT procedure yielded a preferable outcome compared to that of the traditional LPTx procedure in records of SRTR. SMT has become a treatment option for patients with end-stage liver disease and concurrent diabetes.

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