Evidence map›Paper›PMID 30338375›Full record

Observational studyLangenbeck's archives of surgery2018

Development and validation of a prognostic model for kidney function 1 year after combined pancreas and kidney transplantation using pre-transplant donor and recipient variables.

Katharina S Zorn, Simon Littbarski, Ysabell Schwager, Alexander Kaltenborn, Jan Beneke, Jill Gwiasda, Thomas Becker, Felix Braun, Benedikt Reichert, Jürgen Klempnauer and 1 more

Abstract readObservational StudyValidation Study
In one paragraph

Observational study in Langenbeck's archives of surgery, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Katharina S ZornCore Facility Quality Management Transplantation, Integrated Research and Treatment Center Transplantation (IFB-Tx), Hannover Medical School, Hannover, Germany.
Simon LittbarskiCore Facility Quality Management Transplantation, Integrated Research and Treatment Center Transplantation (IFB-Tx), Hannover Medical School, Hannover, Germany.
Ysabell SchwagerCore Facility Quality Management Transplantation, Integrated Research and Treatment Center Transplantation (IFB-Tx), Hannover Medical School, Hannover, Germany.
Alexander KaltenbornCore Facility Quality Management Transplantation, Integrated Research and Treatment Center Transplantation (IFB-Tx), Hannover Medical School, Hannover, Germany.
Jan BenekeCore Facility Quality Management Transplantation, Integrated Research and Treatment Center Transplantation (IFB-Tx), Hannover Medical School, Hannover, Germany.
Jill GwiasdaCore Facility Quality Management Transplantation, Integrated Research and Treatment Center Transplantation (IFB-Tx), Hannover Medical School, Hannover, Germany.
Thomas BeckerGeneral, Visceral, Thoracic, Transplant and Pediatric Surgery, University Medical Center Schleswig-Holstein, Kiel, Germany.
Felix BraunGeneral, Visceral, Thoracic, Transplant and Pediatric Surgery, University Medical Center Schleswig-Holstein, Kiel, Germany.
Benedikt ReichertGeneral, Visceral, Thoracic, Transplant and Pediatric Surgery, University Medical Center Schleswig-Holstein, Kiel, Germany.
Jürgen KlempnauerDepartment of General, Visceral and Transplantation Surgery, Hanover Medical School, Carl-Neuberg-Str. 1, 30625, Hannover, Germany.
Harald SchremCore Facility Quality Management Transplantation, Integrated Research and Treatment Center Transplantation (IFB-Tx), Hannover Medical School, Hannover, Germany. schrem.harald@mh-hannover.de.ORCID http://orcid.org/0000-0002-5527-7555

Funding

Bundesministerium für Bildung und Forschung 01EO1302
6 · The paper itself

Abstract

purposeThe widening gap between demand and supply of organs for transplantation provides extraordinary challenges for ethical donor organ allocation rules. The transplant community is forced to define favorable recipient/donor combinations for simultaneous kidney-pancreas transplantation. The aim of this study is the development of a prognostic model for the prediction of kidney function 1 year after simultaneous pancreas and kidney transplantation using pre-transplant donor and recipient variables with subsequent internal and external validation.

methodsIncluded were patients with end-stage renal failure due to diabetic nephropathy. Multivariable logistic regression modeling was applied for prognostic model design with retrospective data from Hannover Medical School, Germany (01.01.2000-31.12.2011) followed by prospective internal validation (01 Jan. 2012-31 Dec. 2015). Retrospective data from another German transplant center in Kiel was retrieved for external model validation via the initially derived logit link function.

resultsThe developed prognostic model is able to predict kidney graft function 1 year after transplantation ≥ KDIGO stage III with high areas under the receiver operating characteristic curve in the development cohort (0.943) as well as the internal (0.807) and external validation cohorts (0.784).

conclusionThe proposed validated model is a valuable tool to optimize present allocation rules with the goal to prevent transplant futility. It might be used to support donor organ acceptance decisions for individual recipients.

Indexed as

Tissue DonorsTransplant RecipientsAdultCohort StudiesDonor SelectionFemaleGermanyGraft RejectionGraft SurvivalHumansKaplan-Meier EstimateKidney Failure, ChronicKidney Function TestsKidney TransplantationLogistic ModelsMaleDiabetic nephropathyDonor variablesPost-transplant graft functionPrognostic scoresRecipient variablesSimultaneous pancreas kidney transplantation

Identifiers

PMID30338375
PMCPMC6244698

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.