Evidence map›Paper›PMID 33665687›Full record

ArticleDiabetologia2021

Donor insulin therapy in intensive care predicts early outcomes after pancreas transplantation.

Iestyn M Shapey, Angela Summers, Hussein Khambalia, Petros Yiannoullou, Catherine Fullwood, Neil A Hanley, Titus Augustine, Martin K Rutter, David van Dellen

Open access · hybridAbstract read
In one paragraph

Article in Diabetologia, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.4field-weighted citation impact, top 20% of its field
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

8 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Donor Blood Tests do Not Predict Pancreas Graft Survival After Simultaneous Pancreas Kidney Transplantation; a National Cohort Study.Transplant international : official journal of the European Society for Organ Transplantation · 2024
    Article
  5. Article
  6. Article
  7. Article
  8. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Iestyn M ShapeyFaculty of Medicine, Biology and Health, University of Manchester, Manchester, UK. Iestyn.shapey@manchester.ac.uk.ORCID http://orcid.org/0000-0003-3300-1053
Angela SummersFaculty of Medicine, Biology and Health, University of Manchester, Manchester, UK.
Hussein KhambaliaFaculty of Medicine, Biology and Health, University of Manchester, Manchester, UK.
Petros YiannoullouFaculty of Medicine, Biology and Health, University of Manchester, Manchester, UK.
Catherine FullwoodDepartment of Research and Innovation (Medical Statistics), Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK.
Neil A HanleyFaculty of Medicine, Biology and Health, University of Manchester, Manchester, UK.
Titus AugustineFaculty of Medicine, Biology and Health, University of Manchester, Manchester, UK.
Martin K RutterFaculty of Medicine, Biology and Health, University of Manchester, Manchester, UK.
David van DellenFaculty of Medicine, Biology and Health, University of Manchester, Manchester, UK.
Manchester Academic Health Science Centre · GBUniversity of Manchester · GB

Funding

Medical Research Council MR/P019250/1
6 · The paper itself

Abstract

aims/hypothesisApproximately 50% of organ donors develop hyperglycaemia in intensive care, which is managed with insulin therapy. We aimed to determine the relationships between donor insulin use (DIU) and graft failure in pancreas transplantation.

methodsUK Transplant Registry organ donor data were linked with national data from the UK solid pancreas transplant programme. All pancreas transplants performed between 2004 and 2016 with complete follow-up data were included. Logistic regression models determined associations between DIU and causes of graft failure within 3 months. Area under the receiver operating characteristic curve (aROC) and net reclassification improvement (NRI) assessed the added value of DIU as a predictor of graft failure.

resultsIn 2168 pancreas transplant recipients, 1112 (51%) donors were insulin-treated. DIU was associated with a higher risk of graft loss from isolated islet failure: OR (95% CI), 1.79 (1.05, 3.07), p = 0.03, and this relationship was duration/dose dependent. DIU was also associated with a higher risk of graft loss from anastomotic leak (2.72 [1.07, 6.92], p = 0.04) and a lower risk of graft loss from thrombosis (0.62 [0.39, 0.96], p = 0.03), although duration/dose-dependent relationships were only identified in pancreas transplant alone/pancreas after kidney transplant recipients with grafts failing due to thrombosis (0.86 [0.74, 0.99], p = 0.03). The relationships between donor insulin characteristics and isolated islet failure remained significant after adjusting for potential confounders: DIU 1.75 (1.02, 2.99), p = 0.04; duration 1.08 (1.01, 1.16), p = 0.03. In multivariable analyses, donor insulin characteristics remained significant predictors of lower risk of graft thrombosis in pancreas transplant alone/pancreas after kidney transplant recipients: DIU, 0.34 (0.13, 0.90), p = 0.03; insulin duration/dose, 0.02 (0.001, 0.85), p = 0.04. When data on insulin were added to models predicting isolated islet failure, a significant improvement in discrimination and risk reclassification was observed in all models: no DIU aROC 0.56; DIU aROC 0.57, p = 0.86; NRI 0.28, p < 0.00001; insulin duration aROC 0.60, p = 0.47; NRI 0.35, p < 0.00001. CONCLUSIONS/

interpretationDIU predicts graft survival in pancreas transplant recipients. This assessment could help improve donor selection and thereby improve patient and graft outcomes.

Indexed as

Critical CareGraft SurvivalPancreas TransplantationAdultFemaleHumansHyperglycemiaInsulinMaleMiddle AgedPrognosisRegistriesYoung AdultInsulinInsulinIsletOrgan donorPancreasTransplant

Identifiers

PMID33665687
PMCPMC8099796
OpenAlexW3133976014

What OpenQuestion holds

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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 OpenQuestion graph.