{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,3]],"date-time":"2026-06-03T10:21:41Z","timestamp":1780482101259,"version":"3.54.1"},"reference-count":58,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2021,2,23]],"date-time":"2021-02-23T00:00:00Z","timestamp":1614038400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2021,2,23]],"date-time":"2021-02-23T00:00:00Z","timestamp":1614038400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["BMC Gastroenterol"],"published-print":{"date-parts":[[2021,12]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec>\n                <jats:title>Background<\/jats:title>\n                <jats:p>Risk indices such as the pancreas donor risk index (PDRI) and pre-procurement pancreas allocation suitability score (P-PASS) are utilised in solid pancreas transplantation however no review has compared all derived and validated indices in this field. We systematically reviewed all risk indices in solid pancreas transplantation to compare their predictive ability for transplant outcomes.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Methods<\/jats:title>\n                <jats:p>Medline Plus, Embase and the Cochrane Library were searched for studies deriving and externally validating risk indices in solid pancreas transplantation for the outcomes of pancreas and patient survival and donor pancreas acceptance for transplantation. Results were analysed descriptively due to limited reporting of discrimination and calibration metrics required to assess model performance.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Results<\/jats:title>\n                <jats:p>From 25 included studies, discrimination and calibration metrics were only reported in 88% and 38% of derivation studies (n\u2009=\u20098) and in 25% and 25% of external validation studies (n\u2009=\u200912) respectively. 21 risk indices were derived with mild to moderate ability to predict risk (C-statistics 0.52\u20130.78). Donor age, donor body mass index (BMI) and donor gender were the commonest covariates within derived risk indices. Only PDRI and P-PASS were subsequently externally validated, with variable association with post-transplant outcomes. P-PASS was not associated with pancreas graft survival.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Conclusion<\/jats:title>\n                <jats:p>Most of the risk indices derived for use in solid pancreas transplantation were not externally validated (90%). PDRI and P-PASS are the only risk indices externally validated for solid pancreas transplantation, and when validated without reclassification measures, are associated with 1-year pancreas graft survival and donor pancreas acceptance respectively. Future risk indices incorporating recipient and other covariates alongside donor risk factors may have improved predictive ability for solid pancreas transplant outcomes.<\/jats:p>\n              <\/jats:sec>","DOI":"10.1186\/s12876-021-01655-2","type":"journal-article","created":{"date-parts":[[2021,2,23]],"date-time":"2021-02-23T11:12:59Z","timestamp":1614078779000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Risk indices predicting graft use, graft and patient survival in solid pancreas transplantation: a systematic review"],"prefix":"10.1186","volume":"21","author":[{"given":"Jonathan E. H.","family":"Ling","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Timothy","family":"Coughlan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kevan R.","family":"Polkinghorne","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"John","family":"Kanellis","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2021,2,23]]},"reference":[{"issue":"1","key":"1655_CR1","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1053\/gast.2003.50016","volume":"124","author":"R Wiesner","year":"2003","unstructured":"Wiesner R, Edwards E, Freeman R, et al. Model for end-stage liver disease (MELD) and allocation of donor livers. Gastroenterology. 2003;124(1):91\u20136.","journal-title":"Gastroenterology"},{"issue":"2","key":"1655_CR2","doi-asserted-by":"publisher","first-page":"231","DOI":"10.1097\/TP.0b013e3181ac620b","volume":"88","author":"PS Rao","year":"2009","unstructured":"Rao PS, Schaubel DE, Guidinger MK, et al. A comprehensive risk quantification score for deceased donor kidneys: the kidney donor risk index. Transplantation. 2009;88(2):231\u20136.","journal-title":"Transplantation"},{"issue":"4","key":"1655_CR3","doi-asserted-by":"publisher","first-page":"837","DOI":"10.1111\/j.1600-6143.2009.02996.x","volume":"10","author":"DA Axelrod","year":"2010","unstructured":"Axelrod DA, Sung RS, Meyer KH, Wolfe RA, Kaufman DB. Systematic evaluation of pancreas allograft quality, outcomes and geographic variation in utilization. Am J Transplant. 2010;10(4):837\u201345.","journal-title":"Am J Transplant"},{"issue":"5","key":"1655_CR4","doi-asserted-by":"publisher","first-page":"1275","DOI":"10.1016\/j.transproceed.2008.03.142","volume":"40","author":"MT Vinkers","year":"2008","unstructured":"Vinkers MT, Rahmel AO, Slot MC, Smits JM, Schareck WD. How to recognize a suitable pancreas donor: a Eurotransplant study of preprocurement factors. Transplant Proc. 2008;40(5):1275\u20138.","journal-title":"Transplant Proc"},{"issue":"5","key":"1655_CR5","doi-asserted-by":"publisher","first-page":"875","DOI":"10.1097\/TP.0000000000002613","volume":"103","author":"JEH Ling","year":"2019","unstructured":"Ling JEH, Fink M, Westall G, et al. Risk indices in deceased-donor organ allocation for transplantation: review from an Australian perspective. Transplantation. 2019;103(5):875\u201389.","journal-title":"Transplantation"},{"key":"1655_CR6","unstructured":"J DB. EuroTransplant Pancreas Allocation System (EPAS) version 5.4. 2019."},{"issue":"s1","key":"1655_CR7","doi-asserted-by":"publisher","first-page":"131","DOI":"10.1111\/ajt.15673","volume":"20","author":"R Kandaswamy","year":"2020","unstructured":"Kandaswamy R, Stock PG, Gustafson SK, et al. OPTN\/SRTR 2018 annual data report: pancreas. Am J Transplant. 2020;20(s1):131\u201392.","journal-title":"Am J Transplant"},{"issue":"3","key":"1655_CR8","doi-asserted-by":"publisher","first-page":"331","DOI":"10.1097\/MPA.0000000000000485","volume":"45","author":"JJ Blok","year":"2016","unstructured":"Blok JJ, Kopp WH, Verhagen MJ, et al. The Value of PDRI and P-PASS as predictors of outcome after pancreas transplantation in a large European pancreas transplantation center. Pancreas. 2016;45(3):331\u20136.","journal-title":"Pancreas"},{"issue":"9","key":"1655_CR9","doi-asserted-by":"publisher","first-page":"3037","DOI":"10.1016\/j.transproceed.2016.07.049","volume":"48","author":"JJ Salamanca-Bustos","year":"2016","unstructured":"Salamanca-Bustos JJ, Campos-Hernandez JP, S\u00e1nchez-Hidalgo JM, et al. Validation of the pancreatic donor risk index in simultaneous pancreas-kidney transplantation performed in C\u00f3rdoba Hospital from 2000 to 2015. Transplant Proc. 2016;48(9):3037\u20139.","journal-title":"Transplant Proc"},{"issue":"1","key":"1655_CR10","doi-asserted-by":"publisher","first-page":"178","DOI":"10.1016\/j.transproceed.2009.12.036","volume":"42","author":"P Schenker","year":"2010","unstructured":"Schenker P, Vonend O, Ertas N, Wunsch A, Viebahn R. Preprocurement pancreas allocation suitability score does not correlate with long-term pancreas graft survival. Transplant Proc. 2010;42(1):178\u201380.","journal-title":"Transplant Proc"},{"key":"1655_CR11","doi-asserted-by":"publisher","first-page":"360","DOI":"10.12659\/AOT.909654","volume":"23","author":"K \u015amigielska","year":"2018","unstructured":"\u015amigielska K, Skrzypek P, Czerwi\u0144ski J, et al. Usefulness of pancreas donor risk index and pre-procurement pancreas allocation suitability score: results of the Polish National Study. Ann Transplant. 2018;23:360\u20133.","journal-title":"Ann Transplant"},{"issue":"7","key":"1655_CR12","doi-asserted-by":"publisher","first-page":"1840","DOI":"10.1111\/ajt.12269","volume":"13","author":"EB Finger","year":"2013","unstructured":"Finger EB, Radosevich DM, Dunn TB, et al. A composite risk model for predicting technical failure in pancreas transplantation. Am J Transplant. 2013;13(7):1840\u20139.","journal-title":"Am J Transplant"},{"issue":"7","key":"1655_CR13","doi-asserted-by":"publisher","first-page":"1128","DOI":"10.2337\/diacare.20.7.1128","volume":"20","author":"SG Dorsey","year":"1997","unstructured":"Dorsey SG, Waltz CF, Brosch L, Connerney I, Schweitzer EJ, Bartlett ST. A neural network model for predicting pancreas transplant graft outcome. Diabetes Care. 1997;20(7):1128\u201333.","journal-title":"Diabetes Care"},{"key":"1655_CR14","unstructured":"Clinical Guidelines for Organ Transplantation from Deceased Donors version 1.3. The Transplantation Society of Australia and New Zealand. 2019."},{"issue":"10","key":"1655_CR15","doi-asserted-by":"publisher","first-page":"e1001744","DOI":"10.1371\/journal.pmed.1001744","volume":"11","author":"KG Moons","year":"2014","unstructured":"Moons KG, de Groot JA, Bouwmeester W, et al. Critical appraisal and data extraction for systematic reviews of prediction modelling studies: the CHARMS checklist. PLoS Med. 2014;11(10):e1001744.","journal-title":"PLoS Med"},{"key":"1655_CR16","doi-asserted-by":"publisher","first-page":"g7594","DOI":"10.1136\/bmj.g7594","volume":"350","author":"GS Collins","year":"2015","unstructured":"Collins GS, Reitsma JB, Altman DG, Moons KG. Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement. BMJ. 2015;350:g7594.","journal-title":"BMJ"},{"key":"1655_CR17","unstructured":"Ling J CT, Polkinghorne K, Kanellis J. Comparing risk indices in assessing outcomes post-pancreas transplantation: a systematic review. International Prospective Register of Systematic Reviews (PROSPERO). 2020."},{"issue":"2","key":"1655_CR18","doi-asserted-by":"publisher","first-page":"e1001381","DOI":"10.1371\/journal.pmed.1001381","volume":"10","author":"EW Steyerberg","year":"2013","unstructured":"Steyerberg EW, Moons KG, van der Windt DA, et al. Prognosis Research Strategy (PROGRESS) 3: prognostic model research. PLoS Med. 2013;10(2):e1001381.","journal-title":"PLoS Med"},{"issue":"1","key":"1655_CR19","doi-asserted-by":"publisher","first-page":"W1","DOI":"10.7326\/M18-1377","volume":"170","author":"KGM Moons","year":"2019","unstructured":"Moons KGM, Wolff RF, Riley RD, et al. PROBAST: a tool to assess risk of bias and applicability of prediction model studies: explanation and elaboration. Ann Intern Med. 2019;170(1):W1-w33.","journal-title":"Ann Intern Med"},{"issue":"1","key":"1655_CR20","doi-asserted-by":"publisher","first-page":"51","DOI":"10.7326\/M18-1376","volume":"170","author":"RF Wolff","year":"2019","unstructured":"Wolff RF, Moons KGM, Riley RD, et al. PROBAST: a tool to assess the risk of bias and applicability of prediction model studies. Ann Intern Med. 2019;170(1):51\u20138.","journal-title":"Ann Intern Med"},{"issue":"1","key":"1655_CR21","doi-asserted-by":"publisher","first-page":"128","DOI":"10.1097\/EDE.0b013e3181c30fb2","volume":"21","author":"EW Steyerberg","year":"2010","unstructured":"Steyerberg EW, Vickers AJ, Cook NR, et al. Assessing the performance of prediction models: a framework for traditional and novel measures. Epidemiology. 2010;21(1):128\u201338.","journal-title":"Epidemiology"},{"issue":"9","key":"1655_CR22","doi-asserted-by":"publisher","first-page":"691","DOI":"10.1136\/heartjnl-2011-301247","volume":"98","author":"KG Moons","year":"2012","unstructured":"Moons KG, Kengne AP, Grobbee DE, et al. Risk prediction models: II. External validation, model updating, and impact assessment. Heart. 2012;98(9):691\u20138.","journal-title":"Heart"},{"issue":"9","key":"1655_CR23","doi-asserted-by":"publisher","first-page":"683","DOI":"10.1136\/heartjnl-2011-301246","volume":"98","author":"KG Moons","year":"2012","unstructured":"Moons KG, Kengne AP, Woodward M, et al. Risk prediction models: I. Development, internal validation, and assessing the incremental value of a new (bio)marker. Heart. 2012;98(9):683\u201390.","journal-title":"Heart"},{"key":"1655_CR24","doi-asserted-by":"crossref","unstructured":"Hosmer DW, Lemeshow S. Chapter 5: Assessing the fit of the model. In: Applied logistic regression, 2nd ed. John Wiley & Sons, Inc; 2000. p. 143\u2013202.","DOI":"10.1002\/0471722146"},{"issue":"9","key":"1655_CR25","doi-asserted-by":"publisher","first-page":"2052","DOI":"10.1097\/01.CCM.0000275267.64078.B0","volume":"35","author":"AA Kramer","year":"2007","unstructured":"Kramer AA, Zimmerman JE. Assessing the calibration of mortality benchmarks in critical care: the Hosmer\u2013Lemeshow test revisited. Crit Care Med. 2007;35(9):2052\u20136.","journal-title":"Crit Care Med"},{"issue":"8","key":"1655_CR26","doi-asserted-by":"publisher","first-page":"774","DOI":"10.1016\/S0895-4356(01)00341-9","volume":"54","author":"EW Steyerberg","year":"2001","unstructured":"Steyerberg EW, Harrell FE Jr, Borsboom GJ, Eijkemans MJ, Vergouwe Y, Habbema JD. Internal validation of predictive models: efficiency of some procedures for logistic regression analysis. J Clin Epidemiol. 2001;54(8):774\u201381.","journal-title":"J Clin Epidemiol"},{"issue":"1","key":"1655_CR27","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1186\/1471-2288-13-33","volume":"13","author":"P Royston","year":"2013","unstructured":"Royston P, Altman DG. External validation of a Cox prognostic model: principles and methods. BMC Med Res Methodol. 2013;13(1):33.","journal-title":"BMC Med Res Methodol"},{"issue":"4","key":"1655_CR28","doi-asserted-by":"publisher","first-page":"401","DOI":"10.1016\/j.jclinepi.2010.07.015","volume":"64","author":"H Balshem","year":"2011","unstructured":"Balshem H, Helfand M, Sch\u00fcnemann HJ, et al. GRADE guidelines: 3. Rating the quality of evidence. J Clin Epidemiol. 2011;64(4):401\u20136.","journal-title":"J Clin Epidemiol."},{"issue":"2","key":"1655_CR29","doi-asserted-by":"publisher","first-page":"151","DOI":"10.1016\/j.jclinepi.2012.01.006","volume":"66","author":"G Guyatt","year":"2013","unstructured":"Guyatt G, Oxman AD, Sultan S, et al. GRADE guidelines: 11. Making an overall rating of confidence in effect estimates for a single outcome and for all outcomes. J Clin Epidemiol. 2013;66(2):151\u20137.","journal-title":"J Clin Epidemiol."},{"issue":"7650","key":"1655_CR30","doi-asserted-by":"publisher","first-page":"924","DOI":"10.1136\/bmj.39489.470347.AD","volume":"336","author":"GH Guyatt","year":"2008","unstructured":"Guyatt GH, Oxman AD, Vist GE, et al. GRADE: an emerging consensus on rating quality of evidence and strength of recommendations. BMJ. 2008;336(7650):924.","journal-title":"BMJ"},{"issue":"7","key":"1655_CR31","doi-asserted-by":"publisher","first-page":"e1000097","DOI":"10.1371\/journal.pmed.1000097","volume":"6","author":"D Moher","year":"2009","unstructured":"Moher D, Liberati A, Tetzlaff J, Altman DG, The PG. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLOS Med. 2009;6(7):e1000097.","journal-title":"PLOS Med"},{"issue":"8","key":"1655_CR32","doi-asserted-by":"publisher","first-page":"2806","DOI":"10.1016\/j.transproceed.2014.08.010","volume":"46","author":"T Grochowiecki","year":"2014","unstructured":"Grochowiecki T, Ga\u0142\u0105zka Z, Madej K, et al. Multivariate analysis of complications after simultaneous pancreas and kidney transplantation. Transplant Proc. 2014;46(8):2806\u20139.","journal-title":"Transplant Proc"},{"issue":"2","key":"1655_CR33","doi-asserted-by":"publisher","first-page":"337","DOI":"10.1111\/ajt.12036","volume":"13","author":"BL Kasiske","year":"2013","unstructured":"Kasiske BL, Gustafson S, Salkowski N, et al. Optimizing the program-specific reporting of pancreas transplant outcomes. Am J Transplant. 2013;13(2):337\u201347.","journal-title":"Am J Transplant"},{"issue":"2","key":"1655_CR34","doi-asserted-by":"publisher","first-page":"365","DOI":"10.1016\/j.transproceed.2018.10.001","volume":"51","author":"C Rodr\u00edguez-Villar","year":"2019","unstructured":"Rodr\u00edguez-Villar C, Paredes D, Roque R, et al. Predictive and comparative study between clinic consensus document for pancreas acceptance and predictive value of Preprocurement Pancreas Allocation Suitability Score (P-PASS). Transplant Proc. 2019;51(2):365\u20138.","journal-title":"Transplant Proc"},{"issue":"6","key":"1655_CR35","doi-asserted-by":"publisher","first-page":"1827","DOI":"10.1016\/j.transproceed.2014.05.048","volume":"46","author":"MG Sousa","year":"2014","unstructured":"Sousa MG, Linhares MM, Salzedas-Netto AA, et al. Risk factors of pancreatic graft loss and death of receptor after simultaneous pancreas\/kidney transplantation. Transplant Proc. 2014;46(6):1827\u201335.","journal-title":"Transplant Proc"},{"issue":"4","key":"1655_CR36","doi-asserted-by":"publisher","first-page":"1025","DOI":"10.1016\/j.transproceed.2015.03.034","volume":"47","author":"PH Amaral","year":"2015","unstructured":"Amaral PH, Genzini T, Perosa M, Massarollo PC. Donor risk index does not predict graft survival after pancreas transplantation in Brazil. Transplant Proc. 2015;47(4):1025\u20138.","journal-title":"Transplant Proc"},{"key":"1655_CR37","doi-asserted-by":"publisher","first-page":"434","DOI":"10.12659\/AOT.910014","volume":"23","author":"MS Ayami","year":"2018","unstructured":"Ayami MS, Grzella S, Kykalos S, Viebahn R, Schenker P. Pancreas donor risk index but not pre-procurement pancreas allocation suitability score predicts pancreas graft survival: a cohort study from a Large German Pancreas Transplantation Center. Ann Transplant. 2018;23:434\u201341.","journal-title":"Ann Transplant"},{"key":"1655_CR38","doi-asserted-by":"publisher","first-page":"439","DOI":"10.12659\/aot.915852","volume":"24","author":"C Franz","year":"2019","unstructured":"Franz C, G\u00f6rtz M, W\u00fchrl M, et al. The role of Pre-Procurement Pancreas Suitability Score (P-PASS) and Pancreas Donor Risk Index (PDRI) in the outcome of simultaneous pancreas and kidney or pancreas after kidney transplantation. Ann Transplant. 2019;24:439\u201345. https:\/\/doi.org\/10.12659\/aot.915852.","journal-title":"Ann Transplant"},{"key":"1655_CR39","first-page":"140","volume":"28","author":"SKU Horvath","year":"2015","unstructured":"Horvath SKU, Ilham MA, Ablorsu E, Elker D, Asderakis A. How useful are the US PDRI and the European P-PASS scores in predicting outcomes in UK pancreas transplant patients. Transpl Int. 2015;28:140.","journal-title":"Transpl Int"},{"issue":"8","key":"1655_CR40","doi-asserted-by":"publisher","first-page":"921","DOI":"10.1111\/tri.12797","volume":"29","author":"WH Kopp","year":"2016","unstructured":"Kopp WH, de Vries E, de Boer J, et al. Donor risk indices in pancreas allocation in the Eurotransplant region. Transpl Int. 2016;29(8):921\u20139.","journal-title":"Transpl Int"},{"issue":"2","key":"1655_CR41","doi-asserted-by":"publisher","first-page":"841","DOI":"10.1016\/j.jss.2013.03.098","volume":"183","author":"S Mittal","year":"2013","unstructured":"Mittal S, Sharples E, Lee F, et al. App to reality: snapshot validation of the US Pancreas Donor Risk Index in a UK center. J Surg Res. 2013;183(2):841\u20135.","journal-title":"J Surg Res"},{"issue":"9","key":"1655_CR42","doi-asserted-by":"publisher","first-page":"1028","DOI":"10.1111\/tri.12563","volume":"28","author":"S Mittal","year":"2015","unstructured":"Mittal S, Lee FJ, Bradbury L, et al. Validation of the Pancreas Donor Risk Index for use in a UK population. Transpl Int. 2015;28(9):1028\u201333.","journal-title":"Transpl Int"},{"issue":"9","key":"1655_CR43","doi-asserted-by":"publisher","first-page":"3267","DOI":"10.1016\/j.transproceed.2011.09.099","volume":"43","author":"DB Foltys","year":"2011","unstructured":"Foltys DB, Kaths JM, Zimmermann T, Heise M, Hoppe-Lotichius M, Otto G. Ten years of simultaneous pancreas-kidney transplantation: a retrospective single-center analysis of prospectively obtained data. Transplant Proc. 2011;43(9):3267\u20139.","journal-title":"Transplant Proc"},{"issue":"s2","key":"1655_CR44","first-page":"4","volume":"24","author":"RSG Garcia-Roca","year":"2011","unstructured":"Garcia-Roca RSG, Del Gobbo GD, Sanchez-Cabus S, Paredes D, Ricart MJ. Impact of pancreas donor scoring system in graft complications and outcomes: single center experience. Transpl Int. 2011;24(s2):4.","journal-title":"Transpl Int."},{"key":"1655_CR45","doi-asserted-by":"publisher","first-page":"226","DOI":"10.1097\/00007890-201007272-00430","volume":"90","author":"LMW Lan","year":"2010","unstructured":"Lan LMW, Chaal P, Marion V, Opdam HI, Saunder A, Kanellis J. Factors influencing the acceptance of donor solid-organ pancreata for transplantation. An Australian single centre review. Transplantation. 2010;90:226.","journal-title":"Transplantation"},{"issue":"8","key":"1655_CR46","doi-asserted-by":"publisher","first-page":"3092","DOI":"10.1016\/j.transproceed.2011.08.072","volume":"43","author":"J Ziaja","year":"2011","unstructured":"Ziaja J, Kr\u00f3l R, Pawlicki J, et al. Donor-dependent risk factors for early surgical complications after simultaneous pancreas-kidney transplantation. Transplant Proc. 2011;43(8):3092\u20136.","journal-title":"Transplant Proc"},{"issue":"10","key":"1655_CR47","doi-asserted-by":"publisher","first-page":"4202","DOI":"10.1016\/j.transproceed.2010.09.021","volume":"42","author":"G Woeste","year":"2010","unstructured":"Woeste G, Moench C, Hauser IA, Geiger H, Scheuermann E, Bechstein WO. Can the preprocurement pancreas suitability score predict ischemia-reperfusion injury and graft survival after pancreas transplantation? Transplant Proc. 2010;42(10):4202\u20135.","journal-title":"Transplant Proc"},{"issue":"5","key":"1655_CR48","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1371\/journal.pmed.1001221","volume":"9","author":"W Bouwmeester","year":"2012","unstructured":"Bouwmeester W, Zuithoff NP, Mallett S, et al. Reporting and methods in clinical prediction research: a systematic review. PLoS Med. 2012;9(5):1\u201312.","journal-title":"PLoS Med"},{"issue":"1","key":"1655_CR49","doi-asserted-by":"publisher","first-page":"120","DOI":"10.1186\/s12916-018-1099-2","volume":"16","author":"P Heus","year":"2018","unstructured":"Heus P, Damen J, Pajouheshnia R, et al. Poor reporting of multivariable prediction model studies: towards a targeted implementation strategy of the TRIPOD statement. BMC Med. 2018;16(1):120.","journal-title":"BMC Med"},{"key":"1655_CR50","doi-asserted-by":"publisher","first-page":"3606","DOI":"10.1016\/j.transproceed.2008.03.172","volume":"40","author":"MTRA Vinkers","year":"2008","unstructured":"Vinkers MTRA, Slot MC, Smits JM, Schareck WD. Influence of a donor quality score on pancreas transplant survival in the Eurotransplant area. Transplant Proc. 2008;40:3606\u20138.","journal-title":"Transplant Proc"},{"issue":"8","key":"1655_CR51","doi-asserted-by":"publisher","first-page":"2401","DOI":"10.1111\/ajt.13734","volume":"16","author":"EN Rudolph","year":"2016","unstructured":"Rudolph EN, Dunn TB, Mauer D, et al. HLA-A, -B, -C, -DR, and -DQ matching in pancreas transplantation: effect on graft rejection and survival. Am J Transplant. 2016;16(8):2401\u201312.","journal-title":"Am J Transplant"},{"issue":"4","key":"1655_CR52","doi-asserted-by":"publisher","first-page":"28","DOI":"10.12659\/AOT.883691","volume":"17","author":"DE Hilling","year":"2012","unstructured":"Hilling DE, Baranski AG, Haasnoot A, van der Boog PJ, Terpstra OT, Marang-van de Mheen PJ. Contribution of donor and recipient characteristics to short- and long-term pancreas graft survival. Ann Transplant. 2012;17(4):28\u201338.","journal-title":"Ann Transplant."},{"issue":"7","key":"1655_CR53","doi-asserted-by":"publisher","first-page":"928","DOI":"10.1161\/CIRCULATIONAHA.106.672402","volume":"115","author":"NR Cook","year":"2007","unstructured":"Cook NR. Use and misuse of the receiver operating characteristic curve in risk prediction. Circulation. 2007;115(7):928\u201335.","journal-title":"Circulation"},{"issue":"4","key":"1655_CR54","doi-asserted-by":"publisher","first-page":"433","DOI":"10.1111\/j.1399-0012.2010.01253.x","volume":"24","author":"JA Fridell","year":"2010","unstructured":"Fridell JA, Rogers J, Stratta RJ. The pancreas allograft donor: current status, controversies, and challenges for the future. Clin Transplant. 2010;24(4):433\u201349.","journal-title":"Clin Transplant"},{"issue":"1","key":"1655_CR55","doi-asserted-by":"publisher","first-page":"83","DOI":"10.1097\/MOT.0b013e32835c29ef","volume":"18","author":"M Maglione","year":"2013","unstructured":"Maglione M, Ploeg RJ, Friend PJ. Donor risk factors, retrieval technique, preservation and ischemia\/reperfusion injury in pancreas transplantation. Curr Opin Organ Transplant. 2013;18(1):83\u20138.","journal-title":"Curr Opin Organ Transplant"},{"key":"1655_CR56","doi-asserted-by":"publisher","first-page":"375","DOI":"10.1016\/B978-0-12-814833-4.00031-9","volume-title":"Transplantation, bioengineering, and regeneration of the endocrine pancreas","author":"RJ Stratta","year":"2020","unstructured":"Stratta RJ, Gruessner AC, Gruessner RWG. Chapter 31\u2014Pancreas transplantation: current issues, unmet needs, and future perspectives. In: Orlando G, Piemonti L, Ricordi C, Stratta RJ, Gruessner RWG, editors. Transplantation, bioengineering, and regeneration of the endocrine pancreas. London: Academic Press; 2020. p. 375\u201386."},{"issue":"12","key":"1655_CR57","doi-asserted-by":"publisher","first-page":"2127","DOI":"10.1093\/ndt\/gfz090","volume":"34","author":"PA Clayton","year":"2019","unstructured":"Clayton PA, Dansie K, Sypek MP, et al. External validation of the US and UK kidney donor risk indices for deceased donor kidney transplant survival in the Australian and New Zealand population. Nephrol Dial Transplant. 2019;34(12):2127\u201331.","journal-title":"Nephrol Dial Transplant"},{"issue":"8","key":"1655_CR58","doi-asserted-by":"publisher","first-page":"1922","DOI":"10.1111\/ajt.12761","volume":"14","author":"PA Clayton","year":"2014","unstructured":"Clayton PA, McDonald SP, Snyder JJ, Salkowski N, Chadban SJ. External validation of the estimated posttransplant survival score for allocation of deceased donor kidneys in the United States. Am J Transplant. 2014;14(8):1922\u20136.","journal-title":"Am J Transplant"}],"container-title":["BMC Gastroenterology"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/s12876-021-01655-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1186\/s12876-021-01655-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/s12876-021-01655-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,2,23]],"date-time":"2021-02-23T11:16:35Z","timestamp":1614078995000},"score":1,"resource":{"primary":{"URL":"https:\/\/bmcgastroenterol.biomedcentral.com\/articles\/10.1186\/s12876-021-01655-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,2,23]]},"references-count":58,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2021,12]]}},"alternative-id":["1655"],"URL":"https:\/\/doi.org\/10.1186\/s12876-021-01655-2","relation":{},"ISSN":["1471-230X"],"issn-type":[{"value":"1471-230X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,2,23]]},"assertion":[{"value":"21 January 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 February 2021","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 February 2021","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"Exempt from ethics approval as only previously published and non-identifiable data was required (Monash Health Local Ethics Committee).","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval and consent to participate"}},{"value":"Not applicable.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}},{"value":"The authors declare that they have no competing interests.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"80"}}